Tool learning with large language models: a survey - Changle Qu; Sunhao Dai; Xiaochi Wei; Hengyi Cai; Shuaiqiang Wang; Dawei Yin; Jun Xu; Ji-Rong Wen (Frontiers Comput. Sci., 2025)

Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation - Shijie Wang; Wenqi Fan; Yue Feng; Xinyu Ma; Shuaiqiang Wang; Dawei Yin (CoRR, 2025)

Generative Retrieval for Book search - Yubao Tang; Ruqing Zhang; Jiafeng Guo; Maarten de Rijke; Shihao Liu; Shuaiqing Wang; Dawei Yin; Xueqi Cheng (CoRR, 2025)

Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation - Xiaodong Li; Hengzhu Tang; Jiawei Sheng; Xinghua Zhang; Li Gao; Suqi Cheng; Dawei Yin; Tingwen Liu (CoRR, 2025)

Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation - Dongsheng Zhu; Weixian Shi; Zhengliang Shi; Zhaochun Ren; Shuaiqiang Wang; Lingyong Yan; Dawei Yin (CoRR, 2025)

Improving Retrieval-Augmented Generation through Multi-Agent Reinforcement Learning - Yiqun Chen; Lingyong Yan; Weiwei Sun; Xinyu Ma; Yi Zhang; Shuaiqiang Wang; Dawei Yin; Yiming Yang; Jiaxin Mao (CoRR, 2025)

VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos - Xubin Ren; Lingrui Xu; Long Xia; Shuaiqiang Wang; Dawei Yin; Chao Huang (CoRR, 2025)

Multi-Branch Collaborative Learning Network for Video Quality Assessment in Industrial Video Search - Hengzhu Tang; Zefeng Zhang; Zhiping Li; Zhenyu Zhang; Xing Wu; Li Gao; Suqi Cheng; Dawei Yin (CoRR, 2025)

Graph Foundation Models for Recommendation: A Comprehensive Survey - Bin Wu; Yihang Wang; Yuanhao Zeng; Jiawei Liu; Jiashu Zhao; Cheng Yang; Yawen Li; Long Xia; Dawei Yin; Chuan Shi (CoRR, 2025)

The Mirage of Model Editing: Revisiting Evaluation in the Wild - Wanli Yang; Fei Sun; Jiajun Tan; Xinyu Ma; Qi Cao; Dawei Yin; Huawei Shen; Xueqi Cheng (CoRR, 2025)

Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance - Lulu Yu; Keping Bi; Jiafeng Guo; Shihao Liu; Dawei Yin; Xueqi Cheng (CoRR, 2025)

Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking - Junda Zhu; Lingyong Yan; Shuaiqiang Wang; Dawei Yin; Lei Sha (CoRR, 2025)

Hgformer: Hyperbolic Graph Transformer for Recommendation - Xin Yang; Xingrun Li; Heng Chang; Jinze Yang; Xihong Yang; Shengyu Tao; Ningkang Chang; Maiko Shigeno; Junfeng Wang; Dawei Yin; Erxue Min (CoRR, 2025)

DBR: Divergence-Based Regularization for Debiasing Natural Language Understanding Models - Zihao Li; Ruixiang Tang; Lu Cheng; Shuaiqiang Wang; Dawei Yin; Mengnan Du (CoRR, 2025)

Information Discovery in E-commerce - Zhaochun Ren; Xiangnan He; Dawei Yin; Maarten de Rijke (Found. Trends Inf. Retr., 2024)

An Optimization Model for Offline Scheduling Policy of Low-Density Parity-Check Codes - Dongxu Chang; Guanghui Wang; Guiying Yan; Dawei Yin (IEEE Commun. Lett., 2024)

A Simple yet Effective Framework for Active Learning to Rank - Qingzhong Wang; Haifang Li; Haoyi Xiong; Wen Wang; Jiang Bian; Yu Lu; Shuaiqiang Wang; Zhicong Cheng; Dejing Dou; Dawei Yin (Mach. Intell. Res., 2024)

SMEC: Scene Mining for E-Commerce - Gang Wang; Xiang Li; Ziyi Guo; Dawei Yin; Shuai Ma (J. Comput. Sci. Technol., 2024)

GS\(^2\)P: a generative pre-trained learning to rank model with over-parameterization for web-scale search - Yuchen Li; Haoyi Xiong; Linghe Kong; Jiang Bian; Shuaiqiang Wang; Guihai Chen; Dawei Yin (Mach. Learn., 2024)

Explainability for Large Language Models: A Survey - Haiyan Zhao; Hanjie Chen; Fan Yang; Ninghao Liu; Huiqi Deng; Hengyi Cai; Shuaiqiang Wang; Dawei Yin; Mengnan Du (ACM Trans. Intell. Syst. Technol., 2024)

Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation - Xixun Lin; Chuan Zhou; Jia Wu; Lixin Zou; Shirui Pan; Yanan Cao; Bin Wang; Shuaiqiang Wang; Dawei Yin (IEEE Trans. Knowl. Data Eng., 2024)

SMLP4Rec: An Efficient All-MLP Architecture for Sequential Recommendations - Jingtong Gao; Xiangyu Zhao; Muyang Li; Minghao Zhao; Runze Wu; Ruocheng Guo; Yiding Liu; Dawei Yin (ACM Trans. Inf. Syst., 2024)

Toward Bias-Agnostic Recommender Systems: A Universal Generative Framework - Zhidan Wang; Lixin Zou; Chenliang Li; Shuaiqiang Wang; Xu Chen; Dawei Yin; Weidong Liu (ACM Trans. Inf. Syst., 2024)

When Search Engine Services Meet Large Language Models: Visions and Challenges - Haoyi Xiong; Jiang Bian; Yuchen Li; Xuhong Li; Mengnan Du; Shuaiqiang Wang; Dawei Yin; Sumi Helal (IEEE Trans. Serv. Comput., 2024)

Exploring Memorization in Fine-tuned Language Models - Shenglai Zeng; Yaxin Li; Jie Ren; Yiding Liu; Han Xu; Pengfei He; Yue Xing; Shuaiqiang Wang; Jiliang Tang; Dawei Yin (Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2024, Bangkok, Thailand, August 11-16, 2024, 2024)

The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG) - Shenglai Zeng; Jiankun Zhang; Pengfei He; Yiding Liu; Yue Xing; Han Xu; Jie Ren; Yi Chang; Shuaiqiang Wang; Dawei Yin; Jiliang Tang (Findings of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, August 11-16, 2024, 2024)

The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse - Wanli Yang; Fei Sun; Xinyu Ma; Xun Liu; Dawei Yin; Xueqi Cheng (Findings of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, August 11-16, 2024, 2024)

Towards Completeness-Oriented Tool Retrieval for Large Language Models - Changle Qu; Sunhao Dai; Xiaochi Wei; Hengyi Cai; Shuaiqiang Wang; Dawei Yin; Jun Xu; Ji-Rong Wen (Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024, 2024)

Hyperbolic Contrastive Learning for Cross-Domain Recommendation - Xin Yang; Heng Chang; Zhijian Lai; Jinze Yang; Xingrun Li; Yu Lu; Shuaiqiang Wang; Dawei Yin; Erxue Min (Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024, 2024)

Improving the Robustness of Large Language Models via Consistency Alignment - Yukun Zhao; Lingyong Yan; Weiwei Sun; Guoliang Xing; Shuaiqiang Wang; Chong Meng; Zhicong Cheng; Zhaochun Ren; Dawei Yin (Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC/COLING 2024, 20-25 May, 2024, Torino, Italy, 2024)

FltLM: An Intergrated Long-Context Large Language Model for Effective Context Filtering and Understanding - Jingyang Deng; Zhengyang Shen; Boyang Wang; Lixin Su; Suqi Cheng; Ying Nie; Junfeng Wang; Dawei Yin; Jinwen Ma (ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain - Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024), 2024)

Powerful and Flexible: Personalized Text-to-Image Generation via Reinforcement Learning - Fanyue Wei; Wei Zeng; Zhenyang Li; Dawei Yin; Lixin Duan; Wen Li (Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part XXVII, 2024)

GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation - Wenjie Zhou; Zhenxin Ding; Xiaodong Zhang; Haibo Shi; Junfeng Wang; Dawei Yin (Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024 - Industry Track, Miami, Florida, USA, November 12-16, 2024, 2024)

The Fall of ROME: Understanding the Collapse of LLMs in Model Editing - Wanli Yang; Fei Sun; Jiajun Tan; Xinyu Ma; Du Su; Dawei Yin; Huawei Shen (Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024, 2024)

AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning - Hao Sun; Jiayi Wu; Hengyi Cai; Xiaochi Wei; Yue Feng; Bo Wang; Shuaiqiang Wang; Yan Zhang; Dawei Yin (Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024, 2024)

Towards Verifiable Text Generation with Evolving Memory and Self-Reflection - Hao Sun; Hengyi Cai; Bo Wang; Yingyan Hou; Xiaochi Wei; Shuaiqiang Wang; Yan Zhang; Dawei Yin (Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024, 2024)

Learning to Use Tools via Cooperative and Interactive Agents - Zhengliang Shi; Shen Gao; Xiuyi Chen; Yue Feng; Lingyong Yan; Haibo Shi; Dawei Yin; Pengjie Ren; Suzan Verberne; Zhaochun Ren (Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024, 2024)

ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator - Junda Zhu; Lingyong Yan; Haibo Shi; Dawei Yin; Lei Sha (Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024, 2024)

MAIR: A Massive Benchmark for Evaluating Instructed Retrieval - Weiwei Sun; Zhengliang Shi; Wu Long; Lingyong Yan; Xinyu Ma; Yiding Liu; Min Cao; Dawei Yin; Zhaochun Ren (Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024, 2024)

KnowTuning: Knowledge-aware Fine-tuning for Large Language Models - Yougang Lyu; Lingyong Yan; Shuaiqiang Wang; Haibo Shi; Dawei Yin; Pengjie Ren; Zhumin Chen; Maarten de Rijke; Zhaochun Ren (Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024, 2024)

LT\(^2\)R: Learning to Online Learning to Rank for Web Search - Xiaokai Chu; Changying Hao; Shuaiqiang Wang; Dawei Yin; Jiashu Zhao; Lixin Zou; Chenliang Li (40th IEEE International Conference on Data Engineering, ICDE 2024, Utrecht, The Netherlands, May 13-16, 2024, 2024)

Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification - Xixun Lin; Wenxiao Zhang; Fengzhao Shi; Chuan Zhou; Lixin Zou; Xiangyu Zhao; Dawei Yin; Shirui Pan; Yanan Cao (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract) - Yuchen Li; Haoyi Xiong; Linghe Kong; Jiang Bian; Shuaiqiang Wang; Guihai Chen; Dawei Yin (Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI 2024, Jeju, South Korea, August 3-9, 2024, 2024)

MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract) - Yuchen Li; Haoyi Xiong; Linghe Kong; Zeyi Sun; Hongyang Chen; Shuaiqiang Wang; Dawei Yin (Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI 2024, Jeju, South Korea, August 3-9, 2024, 2024)

Theoretical Bounds for the Size of Elementary Trapping Sets by Graph Theory Methods - Haoran Xiong; Zicheng Ye; Huazi Zhang; Jun Wang; Ke Liu; Dawei Yin; Guanghui Wang; Guiying Yan; Zhiming Ma (IEEE Information Theory Workshop, ITW 2024, Shenzhen, China, November 24-28, 2024, 2024)

HiGPT: Heterogeneous Graph Language Model - Jiabin Tang; Yuhao Yang; Wei Wei; Lei Shi; Long Xia; Dawei Yin; Chao Huang (Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, August 25-29, 2024, 2024)

UrbanGPT: Spatio-Temporal Large Language Models - Zhonghang Li; Lianghao Xia; Jiabin Tang; Yong Xu; Lei Shi; Long Xia; Dawei Yin; Chao Huang (Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, August 25-29, 2024, 2024)

A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models - Wenqi Fan; Yujuan Ding; Liangbo Ning; Shijie Wang; Hengyun Li; Dawei Yin; Tat-Seng Chua; Qing Li (Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, August 25-29, 2024, 2024)

A Survey of Large Language Models for Graphs - Xubin Ren; Jiabin Tang; Dawei Yin; Nitesh V. Chawla; Chao Huang (Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, August 25-29, 2024, 2024)

A Robust Semantics-based Watermark for Large Language Model against Paraphrasing - Jie Ren; Han Xu; Yiding Liu; Yingqian Cui; Shuaiqiang Wang; Dawei Yin; Jiliang Tang (Findings of the Association for Computational Linguistics: NAACL 2024, Mexico City, Mexico, June 16-21, 2024, 2024)

VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization - Dongsheng Zhu; Daniel Tang; Weidong Han; Jinghui Lu; Yukun Zhao; Guoliang Xing; Junfeng Wang; Dawei Yin (Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), NAACL 2024, Mexico City, Mexico, June 16-21, 2024, 2024)

MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion - Pengyue Jia; Yiding Liu; Xiangyu Zhao; Xiaopeng Li; Changying Hao; Shuaiqiang Wang; Dawei Yin (Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), NAACL 2024, Mexico City, Mexico, June 16-21, 2024, 2024)

UEGP: Unified Expert-Guided Pre-training for Knowledge Rekindle - Yutao Mou; Kexiang Wang; Jianhe Lin; Dehong Ma; Jun Fan; Daiting Shi; Zhicong Cheng; Simiu Gu; Dawei Yin; Weiran Xu (Findings of the Association for Computational Linguistics: NAACL 2024, Mexico City, Mexico, June 16-21, 2024, 2024)

Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method - Yukun Zhao; Lingyong Yan; Weiwei Sun; Guoliang Xing; Chong Meng; Shuaiqiang Wang; Zhicong Cheng; Zhaochun Ren; Dawei Yin (Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), NAACL 2024, Mexico City, Mexico, June 16-21, 2024, 2024)

G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models - Pengyue Jia; Yiding Liu; Xiaopeng Li; Xiangyu Zhao; Yuhao Wang; Yantong Du; Xiao Han; Xuetao Wei; Shuaiqiang Wang; Dawei Yin (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

Cross-model Control: Improving Multiple Large Language Models in One-time Training - Jiayi Wu; Hao Sun; Hengyi Cai; Lixin Su; Shuaiqiang Wang; Dawei Yin; Xiang Li; Ming Gao (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

PSP: Pre-training and Structure Prompt Tuning for Graph Neural Networks - Qingqing Ge; Zeyuan Zhao; Yiding Liu; Anfeng Cheng; Xiang Li; Shuaiqiang Wang; Dawei Yin (Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2024, Vilnius, Lithuania, September 9-13, 2024, Proceedings, Part V, 2024)

Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback - Qian Dong; Yiding Liu; Qingyao Ai; Zhijing Wu; Haitao Li; Yiqun Liu; Shuaiqiang Wang; Dawei Yin; Shaoping Ma (Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024, 2024)

GraphGPT: Graph Instruction Tuning for Large Language Models - Jiabin Tang; Yuhao Yang; Wei Wei; Lei Shi; Lixin Su; Suqi Cheng; Dawei Yin; Chao Huang (Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024, 2024)

Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation - Dan Luo; Lixin Zou; Qingyao Ai; Zhiyu Chen; Chenliang Li; Dawei Yin; Brian D. Davison (Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024, 2024)

AgentIR: 1st Workshop on Agent-based Information Retrieval - Qingpeng Cai; Xiangyu Zhao; Ling Pan; Xin Xin; Jin Huang; Weinan Zhang; Li Zhao; Dawei Yin; Grace Hui Yang (Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024, 2024)

Text-Video Retrieval via Multi-Modal Hypergraph Networks - Qian Li; Lixin Su; Jiashu Zhao; Long Xia; Hengyi Cai; Suqi Cheng; Hengzhu Tang; Junfeng Wang; Dawei Yin (Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024, 2024)

LLMRec: Large Language Models with Graph Augmentation for Recommendation - Wei Wei; Xubin Ren; Jiabin Tang; Qinyong Wang; Lixin Su; Suqi Cheng; Junfeng Wang; Dawei Yin; Chao Huang (Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024, 2024)

Large Language Models for Graphs: Progresses and Directions - Chao Huang; Xubin Ren; Jiabin Tang; Dawei Yin; Nitesh V. Chawla (Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024, 2024)

Whole Page Unbiased Learning to Rank - Haitao Mao; Lixin Zou; Yujia Zheng; Jiliang Tang; Xiaokai Chu; Jiashu Zhao; Qian Wang; Dawei Yin (Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024, 2024)

Representation Learning with Large Language Models for Recommendation - Xubin Ren; Wei Wei; Lianghao Xia; Lixin Su; Suqi Cheng; Junfeng Wang; Dawei Yin; Chao Huang (Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024, 2024)

Text-Video Retrieval via Variational Multi-Modal Hypergraph Networks - Qian Li; Lixin Su; Jiashu Zhao; Long Xia; Hengyi Cai; Suqi Cheng; Hengzhu Tang; Junfeng Wang; Dawei Yin (CoRR, 2024)

VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization - Dongsheng Zhu; Xunzhu Tang; Weidong Han; Jinghui Lu; Yukun Zhao; Guoliang Xing; Junfeng Wang; Dawei Yin (CoRR, 2024)

The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse - Wanli Yang; Fei Sun; Xinyu Ma; Xun Liu; Dawei Yin; Xueqi Cheng (CoRR, 2024)

KnowTuning: Knowledge-aware Fine-tuning for Large Language Models - Yougang Lyu; Lingyong Yan; Shuaiqiang Wang; Haibo Shi; Dawei Yin; Pengjie Ren; Zhumin Chen; Maarten de Rijke; Zhaochun Ren (CoRR, 2024)

HiGPT: Heterogeneous Graph Language Model - Jiabin Tang; Yuhao Yang; Wei Wei; Lei Shi; Long Xia; Dawei Yin; Chao Huang (CoRR, 2024)

The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG) - Shenglai Zeng; Jiankun Zhang; Pengfei He; Yue Xing; Yiding Liu; Han Xu; Jie Ren; Shuaiqiang Wang; Dawei Yin; Yi Chang; Jiliang Tang (CoRR, 2024)

UrbanGPT: Spatio-Temporal Large Language Models - Zhonghang Li; Lianghao Xia; Jiabin Tang; Yong Xu; Lei Shi; Long Xia; Dawei Yin; Chao Huang (CoRR, 2024)

Learning to Use Tools via Cooperative and Interactive Agents - Zhengliang Shi; Shen Gao; Xiuyi Chen; Lingyong Yan; Haibo Shi; Dawei Yin; Zhumin Chen; Pengjie Ren; Suzan Verberne; Zhaochun Ren (CoRR, 2024)

Improving the Robustness of Large Language Models via Consistency Alignment - Yukun Zhao; Lingyong Yan; Weiwei Sun; Guoliang Xing; Shuaiqiang Wang; Chong Meng; Zhicong Cheng; Zhaochun Ren; Dawei Yin (CoRR, 2024)

MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification - Yiqun Chen; Jiaxin Mao; Yi Zhang; Dehong Ma; Long Xia; Jun Fan; Daiting Shi; Zhicong Cheng; Simiu Gu; Dawei Yin (CoRR, 2024)

On the Performance of Low-complexity Decoders of LDPC and Polar Codes - Qingqing Peng; Dawei Yin; Dongxu Chang; Yuan Li; Huazi Zhang; Guiying Yan; Guanghui Wang (CoRR, 2024)

Density Evolution Analysis of Generalized Low-density Parity-check Codes under a Posteriori Probability Decoder - Dongxu Chang; Qingqing Peng; Guanghui Wang; Dawei Yin (CoRR, 2024)

XL\(^2\)Bench: A Benchmark for Extremely Long Context Understanding with Long-range Dependencies - Xuanfan Ni; Hengyi Cai; Xiaochi Wei; Shuaiqiang Wang; Dawei Yin; Piji Li (CoRR, 2024)

Graph Machine Learning in the Era of Large Language Models (LLMs) - Wenqi Fan; Shijie Wang; Jiani Huang; Zhikai Chen; Yu Song; Wenzhuo Tang; Haitao Mao; Hui Liu; Xiaorui Liu; Dawei Yin; Qing Li (CoRR, 2024)

The Real, the Better: Aligning Large Language Models with Online Human Behaviors - Guanying Jiang; Lingyong Yan; Haibo Shi; Dawei Yin (CoRR, 2024)

GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation - Wenjie Zhou; Zhenxin Ding; Xiaodong Zhang; Haibo Shi; Junfeng Wang; Dawei Yin (CoRR, 2024)

A Survey on RAG Meets LLMs: Towards Retrieval-Augmented Large Language Models - Yujuan Ding; Wenqi Fan; Liangbo Ning; Shijie Wang; Hengyun Li; Dawei Yin; Tat-Seng Chua; Qing Li (CoRR, 2024)

A Survey of Large Language Models for Graphs - Xubin Ren; Jiabin Tang; Dawei Yin; Nitesh V. Chawla; Chao Huang (CoRR, 2024)

G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models - Pengyue Jia; Yiding Liu; Xiaopeng Li; Xiangyu Zhao; Yuhao Wang; Yantong Du; Xiao Han; Xuetao Wei; Shuaiqiang Wang; Dawei Yin (CoRR, 2024)

COLT: Towards Completeness-Oriented Tool Retrieval for Large Language Models - Changle Qu; Sunhao Dai; Xiaochi Wei; Hengyi Cai; Shuaiqiang Wang; Dawei Yin; Jun Xu; Ji-Rong Wen (CoRR, 2024)

Chain of Tools: Large Language Model is an Automatic Multi-tool Learner - Zhengliang Shi; Shen Gao; Xiuyi Chen; Yue Feng; Lingyong Yan; Haibo Shi; Dawei Yin; Zhumin Chen; Suzan Verberne; Zhaochun Ren (CoRR, 2024)

Tool Learning with Large Language Models: A Survey - Changle Qu; Sunhao Dai; Xiaochi Wei; Hengyi Cai; Shuaiqiang Wang; Dawei Yin; Jun Xu; Ji-Rong Wen (CoRR, 2024)

ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator - Junda Zhu; Lingyong Yan; Haibo Shi; Dawei Yin; Lei Sha (CoRR, 2024)

The Fall of ROME: Understanding the Collapse of LLMs in Model Editing - Wanli Yang; Fei Sun; Jiajun Tan; Xinyu Ma; Du Su; Dawei Yin; Huawei Shen (CoRR, 2024)

TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy - Yiqun Chen; Qi Liu; Yi Zhang; Weiwei Sun; Daiting Shi; Jiaxin Mao; Dawei Yin (CoRR, 2024)

Hyperbolic Knowledge Transfer in Cross-Domain Recommendation System - Xin Yang; Heng Chang; Zhijian Lai; Jinze Yang; Xingrun Li; Yu Lu; Shuaiqiang Wang; Dawei Yin; Erxue Min (CoRR, 2024)

When Search Engine Services meet Large Language Models: Visions and Challenges - Haoyi Xiong; Jiang Bian; Yuchen Li; Xuhong Li; Mengnan Du; Shuaiqiang Wang; Dawei Yin; Sumi Helal (CoRR, 2024)

InverseCoder: Unleashing the Power of Instruction-Tuned Code LLMs with Inverse-Instruct - Yutong Wu; Di Huang; Wenxuan Shi; Wei Wang; Lingzhe Gao; Shihao Liu; Ziyuan Nan; Kaizhao Yuan; Rui Zhang; Xishan Zhang; Zidong Du; Qi Guo; et al. (CoRR, 2024)

Powerful and Flexible: Personalized Text-to-Image Generation via Reinforcement Learning - Fanyue Wei; Wei Zeng; Zhenyang Li; Dawei Yin; Lixin Duan; Wen Li (CoRR, 2024)

DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System - Xihong Yang; Heming Jing; Zixing Zhang; Jindong Wang; Huakang Niu; Shuaiqiang Wang; Yu Lu; Junfeng Wang; Dawei Yin; Xinwang Liu; En Zhu; Defu Lian; et al. (CoRR, 2024)

OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction - Zhonghang Li; Long Xia; Lei Shi; Yong Xu; Dawei Yin; Chao Huang (CoRR, 2024)

GenCRF: Generative Clustering and Reformulation Framework for Enhanced Intent-Driven Information Retrieval - Wonduk Seo; Haojie Zhang; Yueyang Zhang; Changhao Zhang; Songyao Duan; Lixin Su; Daiting Shi; Jiashu Zhao; Dawei Yin (CoRR, 2024)

LLMs + Persona-Plug = Personalized LLMs - Jiongnan Liu; Yutao Zhu; Shuting Wang; Xiaochi Wei; Erxue Min; Yu Lu; Shuaiqiang Wang; Dawei Yin; Zhicheng Dou (CoRR, 2024)

Pre-trained Graphformer-based Ranking at Web-scale Search (Extended Abstract) - Yuchen Li; Haoyi Xiong; Linghe Kong; Zeyi Sun; Hongyang Chen; Shuaiqiang Wang; Dawei Yin (CoRR, 2024)

Generative Pre-trained Ranking Model with Over-parameterization at Web-Scale (Extended Abstract) - Yuchen Li; Haoyi Xiong; Linghe Kong; Jiang Bian; Shuaiqiang Wang; Guihai Chen; Dawei Yin (CoRR, 2024)

Information Discovery in e-Commerce - Zhaochun Ren; Xiangnan He; Dawei Yin; Maarten de Rijke (CoRR, 2024)

FltLM: An Intergrated Long-Context Large Language Model for Effective Context Filtering and Understanding - Jingyang Deng; Zhengyang Shen; Boyang Wang; Lixin Su; Suqi Cheng; Ying Nie; Junfeng Wang; Dawei Yin; Jinwen Ma (CoRR, 2024)

MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization - Yougang Lyu; Lingyong Yan; Zihan Wang; Dawei Yin; Pengjie Ren; Maarten de Rijke; Zhaochun Ren (CoRR, 2024)

From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions - Changle Qu; Sunhao Dai; Xiaochi Wei; Hengyi Cai; Shuaiqiang Wang; Dawei Yin; Jun Xu; Ji-Rong Wen (CoRR, 2024)

MAIR: A Massive Benchmark for Evaluating Instructed Retrieval - Weiwei Sun; Zhengliang Shi; Jiulong Wu; Lingyong Yan; Xinyu Ma; Yiding Liu; Min Cao; Dawei Yin; Zhaochun Ren (CoRR, 2024)

JAILJUDGE: A Comprehensive Jailbreak Judge Benchmark with Multi-Agent Enhanced Explanation Evaluation Framework - Fan Liu; Yue Feng; Zhao Xu; Lixin Su; Xinyu Ma; Dawei Yin; Hao Liu (CoRR, 2024)

AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning - Hao Sun; Jiayi Wu; Hengyi Cai; Xiaochi Wei; Yue Feng; Bo Wang; Shuaiqiang Wang; Yan Zhang; Dawei Yin (CoRR, 2024)

Cross-model Control: Improving Multiple Large Language Models in One-time Training - Jiayi Wu; Hao Sun; Hengyi Cai; Lixin Su; Shuaiqiang Wang; Dawei Yin; Xiang Li; Ming Gao (CoRR, 2024)

PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization - Jiayi Wu; Hengyi Cai; Lingyong Yan; Hao Sun; Xiang Li; Shuaiqiang Wang; Dawei Yin; Ming Gao (CoRR, 2024)

Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models - Wenhan Liu; Xinyu Ma; Yutao Zhu; Ziliang Zhao; Shuaiqiang Wang; Dawei Yin; Zhicheng Dou (CoRR, 2024)

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community - Qingyao Ai; Ting Bai; Zhao Cao; Yi Chang; Jiawei Chen; Zhumin Chen; Zhiyong Cheng; Shoubin Dong; Zhicheng Dou; Fuli Feng; Shen Gao; Jiafeng Guo; et al. (AI Open, 2023)

Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs - Zhikai Chen; Haitao Mao; Hang Li; Wei Jin; Hongzhi Wen; Xiaochi Wei; Shuaiqiang Wang; Dawei Yin; Wenqi Fan; Hui Liu; Jiliang Tang (SIGKDD Explor., 2023)

COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search - Yuchen Li; Haoyi Xiong; Qingzhong Wang; Linghe Kong; Hao Liu; Haifang Li; Jiang Bian; Shuaiqiang Wang; Guihai Chen; Dejing Dou; Dawei Yin (IEEE Trans. Knowl. Data Eng., 2023)

Pre-trained Language Model-based Retrieval and Ranking for Web Search - Lixin Zou; Weixue Lu; Yiding Liu; Hengyi Cai; Xiaokai Chu; Dehong Ma; Daiting Shi; Yu Sun; Zhicong Cheng; Simiu Gu; Shuaiqiang Wang; Dawei Yin (ACM Trans. Web, 2023)

Feature-Level Debiased Natural Language Understanding - Yougang Lyu; Piji Li; Yechang Yang; Maarten de Rijke; Pengjie Ren; Yukun Zhao; Dawei Yin; Zhaochun Ren (Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023, 2023)

Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? - Juanhui Li; Harry Shomer; Jiayuan Ding; Yiqi Wang; Yao Ma; Neil Shah; Jiliang Tang; Dawei Yin (Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023, 2023)

Boosting Event Extraction with Denoised Structure-to-Text Augmentation - Bo Wang; Heyan Huang; Xiaochi Wei; Ge Shi; Xiao Liu; Chong Feng; Tong Zhou; Shuaiqiang Wang; Dawei Yin (Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023, 2023)

I3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval - Qian Dong; Yiding Liu; Qingyao Ai; Haitao Li; Shuaiqiang Wang; Yiqun Liu; Dawei Yin; Shaoping Ma (Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023, 2023)

DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval - Xin Xin; Xiangyu Zhao; Jin Huang; Weinan Zhang; Li Zhao; Dawei Yin; Grace Hui Yang (Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023, 2023)

GS\(^2\)P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search - Yuchen Li; Haoyi Xiong; Linghe Kong; Jiang Bian; Shuaiqiang Wang; Guihai Chen; Dawei Yin (10th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2023, Thessaloniki, Greece, October 9-13, 2023, 2023)

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents - Weiwei Sun; Lingyong Yan; Xinyu Ma; Shuaiqiang Wang; Pengjie Ren; Zhumin Chen; Dawei Yin; Zhaochun Ren (Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023, 2023)

DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment - Yukun Zhao; Lingyong Yan; Weiwei Sun; Chong Meng; Shuaiqiang Wang; Zhicong Cheng; Zhaochun Ren; Dawei Yin (Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023, 2023)

MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale - Yuchen Li; Haoyi Xiong; Linghe Kong; Zeyi Sun; Hongyang Chen; Shuaiqiang Wang; Dawei Yin (IEEE International Conference on Data Mining, ICDM 2023, Shanghai, China, December 1-4, 2023, 2023)

Learning Discrete Document Representations in Web Search - Rong Huang; Danfeng Zhang; Weixue Lu; Han Li; Meng Wang; Daiting Shi; Jun Fan; Zhicong Cheng; Simiu Gu; Dawei Yin (Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023, 2023)

S\(^2\)phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data - Yuchen Li; Haoyi Xiong; Linghe Kong; Qingzhong Wang; Shuaiqiang Wang; Guihai Chen; Dawei Yin (Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023, 2023)

Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies - Yubao Tang; Ruqing Zhang; Jiafeng Guo; Jiangui Chen; Zuowei Zhu; Shuaiqiang Wang; Dawei Yin; Xueqi Cheng (Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023, 2023)

Knowing Before Seeing: Incorporating Post-retrieval Information into Pre-retrieval Query Intention Classification - Xueqing Ma; Xiaochi Wei; Yixing Gao; Runyang Feng; Dawei Yin; Yi Chang (Knowledge Science, Engineering and Management - 16th International Conference, KSEM 2023, Guangzhou, China, August 16-18, 2023, Proceedings, Part II, 2023)

Learning to Tokenize for Generative Retrieval - Weiwei Sun; Lingyong Yan; Zheng Chen; Shuaiqiang Wang; Haichao Zhu; Pengjie Ren; Zhumin Chen; Dawei Yin; Maarten de Rijke; Zhaochun Ren (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking - Juanhui Li; Harry Shomer; Haitao Mao; Shenglai Zeng; Yao Ma; Neil Shah; Jiliang Tang; Dawei Yin (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

LtrGCN: Large-Scale Graph Convolutional Networks-Based Learning to Rank for Web Search - Yuchen Li; Haoyi Xiong; Linghe Kong; Shuaiqiang Wang; Zeyi Sun; Hongyang Chen; Guihai Chen; Dawei Yin (Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part VI, 2023)

Disentangled Contrastive Collaborative Filtering - Xubin Ren; Lianghao Xia; Jiashu Zhao; Dawei Yin; Chao Huang (Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023, 2023)

Graph Enhanced BERT for Query Understanding - Juanhui Li; Wei Zeng; Suqi Cheng; Yao Ma; Jiliang Tang; Shuaiqiang Wang; Dawei Yin (Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023, 2023)

Sequential Recommendation with User Evolving Preference Decomposition - Weiqi Shao; Xu Chen; Jiashu Zhao; Long Xia; Jingsen Zhang; Dawei Yin (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, SIGIR-AP 2023, Beijing, China, November 26-28, 2023, 2023)

Model-based Unbiased Learning to Rank - Dan Luo; Lixin Zou; Qingyao Ai; Zhiyu Chen; Dawei Yin; Brian D. Davison (Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023, 2023)

User Retention-oriented Recommendation with Decision Transformer - Kesen Zhao; Lixin Zou; Xiangyu Zhao; Maolin Wang; Dawei Yin (Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023, 2023)

Layout-aware Webpage Quality Assessment - Anfeng Cheng; Yiding Liu; Weibin Li; Qian Dong; Shuaiqiang Wang; Zhengjie Huang; Shikun Feng; Zhicong Cheng; Dawei Yin (CoRR, 2023)

User Retention-oriented Recommendation with Decision Transformer - Kesen Zhao; Lixin Zou; Xiangyu Zhao; Maolin Wang; Dawei Yin (CoRR, 2023)

An Optimization Model for Offline Scheduling Policy of Low-density Parity-check Codes - Dongxu Chang; Guanghui Wang; Guiying Yan; Dawei Yin (CoRR, 2023)

Learning to Tokenize for Generative Retrieval - Weiwei Sun; Lingyong Yan; Zheng Chen; Shuaiqiang Wang; Haichao Zhu; Pengjie Ren; Zhumin Chen; Dawei Yin; Maarten de Rijke; Zhaochun Ren (CoRR, 2023)

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent - Weiwei Sun; Lingyong Yan; Xinyu Ma; Pengjie Ren; Dawei Yin; Zhaochun Ren (CoRR, 2023)

Disentangled Contrastive Collaborative Filtering - Xubin Ren; Lianghao Xia; Jiashu Zhao; Dawei Yin; Chao Huang (CoRR, 2023)

Boosting Event Extraction with Denoised Structure-to-Text Augmentation - Bo Wang; Heyan Huang; Xiaochi Wei; Ge Shi; Xiao Liu; Chong Feng; Tong Zhou; Shuaiqiang Wang; Dawei Yin (CoRR, 2023)

Unconfounded Propensity Estimation for Unbiased Ranking - Dan Luo; Lixin Zou; Qingyao Ai; Zhiyu Chen; Chenliang Li; Dawei Yin; Brian D. Davison (CoRR, 2023)

Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies - Yubao Tang; Ruqing Zhang; Jiafeng Guo; Jiangui Chen; Zuowei Zhu; Shuaiqiang Wang; Dawei Yin; Xueqi Cheng (CoRR, 2023)

Pretrained Language Model based Web Search Ranking: From Relevance to Satisfaction - Canjia Li; Xiaoyang Wang; Dongdong Li; Yiding Liu; Yu Lu; Shuaiqiang Wang; Zhicong Cheng; Simiu Gu; Dawei Yin (CoRR, 2023)

I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval - Qian Dong; Yiding Liu; Qingyao Ai; Haitao Li; Shuaiqiang Wang; Yiqun Liu; Dawei Yin; Shaoping Ma (CoRR, 2023)

Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking - Juanhui Li; Harry Shomer; Haitao Mao; Shenglai Zeng; Yao Ma; Neil Shah; Jiliang Tang; Dawei Yin (CoRR, 2023)

Theoretical Bounds for the Size of Elementary Trapping Sets by Graphic Methods - Haoran Xiong; Zicheng Ye; Huazi Zhang; Jun Wang; Ke Liu; Dawei Yin; Guanghui Wang; Guiying Yan; Zhiming Ma (CoRR, 2023)

Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs - Zhikai Chen; Haitao Mao; Hang Li; Wei Jin; Hongzhi Wen; Xiaochi Wei; Shuaiqiang Wang; Dawei Yin; Wenqi Fan; Hui Liu; Jiliang Tang (CoRR, 2023)

Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community - Qingyao Ai; Ting Bai; Zhao Cao; Yi Chang; Jiawei Chen; Zhumin Chen; Zhiyong Cheng; Shoubin Dong; Zhicheng Dou; Fuli Feng; Shen Gao; Jiafeng Guo; et al. (CoRR, 2023)

Explainability for Large Language Models: A Survey - Haiyan Zhao; Hanjie Chen; Fan Yang; Ninghao Liu; Huiqi Deng; Hengyi Cai; Shuaiqiang Wang; Dawei Yin; Mengnan Du (CoRR, 2023)

Aligning the Capabilities of Large Language Models with the Context of Information Retrieval via Contrastive Feedback - Qian Dong; Yiding Liu; Qingyao Ai; Zhijing Wu; Haitao Li; Yiqun Liu; Shuaiqiang Wang; Dawei Yin; Shaoping Ma (CoRR, 2023)

Exploring Memorization in Fine-tuned Language Models - Shenglai Zeng; Yaxin Li; Jie Ren; Yiding Liu; Han Xu; Pengfei He; Yue Xing; Shuaiqiang Wang; Jiliang Tang; Dawei Yin (CoRR, 2023)

Prompt Tuning for Multi-View Graph Contrastive Learning - Chenghua Gong; Xiang Li; Jianxiang Yu; Cheng Yao; Jiaqi Tan; Chengcheng Yu; Dawei Yin (CoRR, 2023)

GraphGPT: Graph Instruction Tuning for Large Language Models - Jiabin Tang; Yuhao Yang; Wei Wei; Lei Shi; Lixin Su; Suqi Cheng; Dawei Yin; Chao Huang (CoRR, 2023)

Representation Learning with Large Language Models for Recommendation - Xubin Ren; Wei Wei; Lianghao Xia; Lixin Su; Suqi Cheng; Junfeng Wang; Dawei Yin; Chao Huang (CoRR, 2023)

DiQAD: A Benchmark Dataset for End-to-End Open-domain Dialogue Assessment - Yukun Zhao; Lingyong Yan; Weiwei Sun; Chong Meng; Shuaiqiang Wang; Zhicong Cheng; Zhaochun Ren; Dawei Yin (CoRR, 2023)

Enhancing Graph Neural Networks with Structure-Based Prompt - Qingqing Ge; Zeyuan Zhao; Yiding Liu; Anfeng Cheng; Xiang Li; Shuaiqiang Wang; Dawei Yin (CoRR, 2023)

Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method - Yukun Zhao; Lingyong Yan; Weiwei Sun; Guoliang Xing; Chong Meng; Shuaiqiang Wang; Zhicong Cheng; Zhaochun Ren; Dawei Yin (CoRR, 2023)

Embedding in Recommender Systems: A Survey - Xiangyu Zhao; Maolin Wang; Xinjian Zhao; Jiansheng Li; Shucheng Zhou; Dawei Yin; Qing Li; Jiliang Tang; Ruocheng Guo (CoRR, 2023)

MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion - Pengyue Jia; Yiding Liu; Xiangyu Zhao; Xiaopeng Li; Changying Hao; Shuaiqiang Wang; Dawei Yin (CoRR, 2023)

LLMRec: Large Language Models with Graph Augmentation for Recommendation - Wei Wei; Xubin Ren; Jiabin Tang; Qinyong Wang; Lixin Su; Suqi Cheng; Junfeng Wang; Dawei Yin; Chao Huang (CoRR, 2023)

Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers - Weiwei Sun; Zheng Chen; Xinyu Ma; Lingyong Yan; Shuaiqiang Wang; Pengjie Ren; Zhumin Chen; Dawei Yin; Zhaochun Ren (CoRR, 2023)

A Robust Semantics-based Watermark for Large Language Model against Paraphrasing - Jie Ren; Han Xu; Yiding Liu; Yingqian Cui; Shuaiqiang Wang; Dawei Yin; Jiliang Tang (CoRR, 2023)

Towards Verifiable Text Generation with Evolving Memory and Self-Reflection - Hao Sun; Hengyi Cai; Bo Wang; Yingyan Hou; Xiaochi Wei; Shuaiqiang Wang; Yan Zhang; Dawei Yin (CoRR, 2023)

Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-agent LLM - Xiaopeng Li; Lixin Su; Pengyue Jia; Xiangyu Zhao; Suqi Cheng; Junfeng Wang; Dawei Yin (CoRR, 2023)

A Graph Neural Network Framework for Social Recommendations - Wenqi Fan; Yao Ma; Qing Li; Jianping Wang; Guoyong Cai; Jiliang Tang; Dawei Yin (IEEE Trans. Knowl. Data Eng., 2022)

On Length Divergence Bias in Textual Matching Models - Lan Jiang; Tianshu Lyu; Yankai Lin; Chong Meng; Xiaoyong Lyu; Dawei Yin (Findings of the Association for Computational Linguistics: ACL 2022, Dublin, Ireland, May 22-27, 2022, 2022)

Approximated Doubly Robust Search Relevance Estimation - Lixin Zou; Changying Hao; Hengyi Cai; Shuaiqiang Wang; Suqi Cheng; Zhicong Cheng; Wenwen Ye; Simiu Gu; Dawei Yin (Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022, 2022)

Self-Supervised Learning for Recommendation - Chao Huang; Lianghao Xia; Xiang Wang; Xiangnan He; Dawei Yin (Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022, 2022)

Original Content Is All You Need! an Empirical Study on Leveraging Answer Summary for WikiHowQA Answer Selection Task - Liang Wen; Juan Li; Houfeng Wang; Yingwei Luo; Xiaolin Wang; Xiaodong Zhang; Zhicong Cheng; Dawei Yin (Proceedings of the 29th International Conference on Computational Linguistics, COLING 2022, Gyeongju, Republic of Korea, October 12-17, 2022, 2022)

Contrastive Disentangled Graph Convolutional Network for Weakly-Supervised Classification - Xiaokai Chu; Jiashu Zhao; Xinxin Fan; Di Yao; Zhihua Zhu; Lixin Zou; Dawei Yin; Jingping Bi (Database Systems for Advanced Applications - 27th International Conference, DASFAA 2022, Virtual Event, April 11-14, 2022, Proceedings, Part I, 2022)

PILE: Pairwise Iterative Logits Ensemble for Multi-Teacher Labeled Distillation - Lianshang Cai; Linhao Zhang; Dehong Ma; Jun Fan; Daiting Shi; Yi Wu; Zhicong Cheng; Simiu Gu; Dawei Yin (Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7 - 11, 2022, 2022)

On the Message Passing Efficiency of Polar and Low-Density Parity-Check Decoders - Dawei Yin; Yuan Li; Xianbin Wang; Jiajie Tong; Huazi Zhang; Jun Wang; Guanghui Wang; Guiying Yan; Zhiming Ma (IEEE Globecom 2022 Workshops, Rio de Janeiro, Brazil, December 4-8, 2022, 2022)

A Question-Oriented Propagation Network for News Reading Comprehension - Liang Wen; Houfeng Wang; Dehong Ma; Jun Fan; Yingwei Luo; Xiaolin Wang; Daiting Shi; Zhicong Cheng; Dawei Yin (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022, Virtual and Singapore, 23-27 May 2022, 2022)

Factorized and Controllable Neural Re-Rendering of Outdoor Scene for Photo Extrapolation - Boming Zhao; Bangbang Yang; Zhenyang Li; Zuoyue Li; Guofeng Zhang; Jiashu Zhao; Dawei Yin; Zhaopeng Cui; Hujun Bao (MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10 - 14, 2022, 2022)

A Large Scale Search Dataset for Unbiased Learning to Rank - Lixin Zou; Haitao Mao; Xiaokai Chu; Jiliang Tang; Wenwen Ye; Shuaiqiang Wang; Dawei Yin (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Hypergraph Contrastive Collaborative Filtering - Lianghao Xia; Chao Huang; Yong Xu; Jiashu Zhao; Dawei Yin; Jimmy X. Huang (SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022, 2022)

H-ERNIE: A Multi-Granularity Pre-Trained Language Model for Web Search - Xiaokai Chu; Jiashu Zhao; Lixin Zou; Dawei Yin (SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022, 2022)

Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking - Qian Dong; Yiding Liu; Suqi Cheng; Shuaiqiang Wang; Zhicong Cheng; Shuzi Niu; Dawei Yin (SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022, 2022)

Self-Supervised Learning for Recommender System - Chao Huang; Xiang Wang; Xiangnan He; Dawei Yin (SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022, 2022)

DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval - Xiangyu Zhao; Xin Xin; Weinan Zhang; Li Zhao; Dawei Yin; Grace Hui Yang (SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022, 2022)

Contrastive Meta Learning with Behavior Multiplicity for Recommendation - Wei Wei; Chao Huang; Lianghao Xia; Yong Xu; Jiashu Zhao; Dawei Yin (WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022, 2022)

Fast Semantic Matching via Flexible Contextualized Interaction - Wenwen Ye; Yiding Liu; Lixin Zou; Hengyi Cai; Suqi Cheng; Shuaiqiang Wang; Dawei Yin (WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022, 2022)

A GNN-based Multi-task Learning Framework for Personalized Video Search - Li Zhang; Lei Shi; Jiashu Zhao; Juan Yang; Tianshu Lyu; Dawei Yin; Haiping Lu (WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022, 2022)

Contrastive Meta Learning with Behavior Multiplicity for Recommendation - Wei Wei; Chao Huang; Lianghao Xia; Yong Xu; Jiashu Zhao; Dawei Yin (CoRR, 2022)

Sequential Recommendation with User Evolving Preference Decomposition - Weiqi Shao; Xu Chen; Long Xia; Jiashu Zhao; Dawei Yin (CoRR, 2022)

Graph Enhanced BERT for Query Understanding - Juan-Hui Li; Yao Ma; Wei Zeng; Suqi Cheng; Jiliang Tang; Shuaiqiang Wang; Dawei Yin (CoRR, 2022)

Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking - Qian Dong; Yiding Liu; Suqi Cheng; Shuaiqiang Wang; Zhicong Cheng; Shuzi Niu; Dawei Yin (CoRR, 2022)

Hypergraph Contrastive Collaborative Filtering - Lianghao Xia; Chao Huang; Yong Xu; Jiashu Zhao; Dawei Yin; Jimmy Xiangji Huang (CoRR, 2022)

ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval - Yuxiang Lu; Yiding Liu; Jiaxiang Liu; Yunsheng Shi; Zhengjie Huang; Shikun Feng; Yu Sun; Hao Tian; Hua Wu; Shuaiqiang Wang; Dawei Yin; Haifeng Wang (CoRR, 2022)

Practical Strategies of Active Learning to Rank for Web Search - Qingzhong Wang; Haifang Li; Haoyi Xiong; Wen Wang; Jiang Bian; Yu Lu; Shuaiqiang Wang; Zhicong Cheng; Jingbo Zhou; Dawei Yin; Dejing Dou (CoRR, 2022)

Are Graph Neural Networks Really Helpful for Knowledge Graph Completion? - Juan-Hui Li; Harry Shomer; Jiayuan Ding; Yiqi Wang; Yao Ma; Neil Shah; Jiliang Tang; Dawei Yin (CoRR, 2022)

On the Message Passing Efficiency of Polar and Low-Density Parity-Check Decoders - Dawei Yin; Yuan Li; Xianbin Wang; Jiajie Tong; Huazi Zhang; Jun Wang; Guanghui Wang; Guiying Yan; Zhiming Ma (CoRR, 2022)

Geometry Contrastive Learning on Heterogeneous Graphs - Shichao Zhu; Chuan Zhou; Anfeng Cheng; Shirui Pan; Shuaiqiang Wang; Dawei Yin; Bin Wang (CoRR, 2022)

A Large Scale Search Dataset for Unbiased Learning to Rank - Lixin Zou; Haitao Mao; Xiaokai Chu; Jiliang Tang; Wenwen Ye; Shuaiqiang Wang; Dawei Yin (CoRR, 2022)

Factorized and Controllable Neural Re-Rendering of Outdoor Scene for Photo Extrapolation - Boming Zhao; Bangbang Yang; Zhenyang Li; Zuoyue Li; Guofeng Zhang; Jiashu Zhao; Dawei Yin; Zhaopeng Cui; Hujun Bao (CoRR, 2022)

Model-based Unbiased Learning to Rank - Dan Luo; Lixin Zou; Qingyao Ai; Zhiyu Chen; Dawei Yin; Brian D. Davison (CoRR, 2022)

Approximated Doubly Robust Search Relevance Estimation - Lixin Zou; Changying Hao; Hengyi Cai; Suqi Cheng; Shuaiqiang Wang; Wenwen Ye; Zhicong Cheng; Simiu Gu; Dawei Yin (CoRR, 2022)

Whole Page Unbiased Learning to Rank - Haitao Mao; Lixin Zou; Yujia Zheng; Jiliang Tang; Xiaokai Chu; Jiashu Zhao; Dawei Yin (CoRR, 2022)

PILE: Pairwise Iterative Logits Ensemble for Multi-Teacher Labeled Distillation - Lianshang Cai; Linhao Zhang; Dehong Ma; Jun Fan; Daiting Shi; Yi Wu; Zhicong Cheng; Simiu Gu; Dawei Yin (CoRR, 2022)

Feature-Level Debiased Natural Language Understanding - Yougang Lyu; Piji Li; Yechang Yang; Maarten de Rijke; Pengjie Ren; Yukun Zhao; Dawei Yin; Zhaochun Ren (CoRR, 2022)

MGNETS: Multi-Graph Neural Networks for Table Search - Zhiyu Chen; Mohamed Trabelsi; Jeff Heflin; Dawei Yin; Brian D. Davison (CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021, 2021)

Enhancing Question Generation with Commonsense Knowledge - Xin Jia; Hao Wang; Dawei Yin; Yunfang Wu (Chinese Computational Linguistics - 20th China National Conference, CCL 2021, Hohhot, China, August 13-15, 2021, Proceedings, 2021)

CLASS: A Novel Method for Chinese Legal Judgments Summarization - Dongjin Li; Ke Yang; Lijun Zhang; Dawei Yin; Dezhong Peng (CSAE 2021: The 5th International Conference on Computer Science and Application Engineering, Sanya, China, October 19 - 21, 2021, 2021)

SceneRec: Scene-Based Graph Neural Networks for Recommender Systems - Gang Wang; Ziyi Guo; Xiang Li; Dawei Yin; Shuai Ma (Proceedings of the 24th International Conference on Extending Database Technology, EDBT 2021, Nicosia, Cyprus, March 23 - 26, 2021, 2021)

Purchase Intent Forecasting with Convolutional Hierarchical Transformer Networks - Chao Huang; Jiashu Zhao; Dawei Yin (37th IEEE International Conference on Data Engineering, ICDE 2021, Chania, Greece, April 19-22, 2021, 2021)

Pre-trained Language Model for Web-scale Retrieval in Baidu Search - Yiding Liu; Weixue Lu; Suqi Cheng; Daiting Shi; Shuaiqiang Wang; Zhicong Cheng; Dawei Yin (KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, Singapore, August 14-18, 2021, 2021)

Pre-trained Language Model based Ranking in Baidu Search - Lixin Zou; Shengqiang Zhang; Hengyi Cai; Dehong Ma; Suqi Cheng; Shuaiqiang Wang; Daiting Shi; Zhicong Cheng; Dawei Yin (KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, Singapore, August 14-18, 2021, 2021)

2nd International Workshop on Industrial Recommendation Systems (IRS) - Jianpeng Xu; Lingfei Wu; Xiaolin Pang; Mohit Sharma; Dawei Yin; George Karypis; Justin Basilico; Philip S. Yu (KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, Singapore, August 14-18, 2021, 2021)

Search for Good Irregular Low-Density Parity-Check Codes Via Graph Spectrum - Dawei Yin; Xiaojing Zhang; Xichao Shu; Guiying Yan; Guanghui Wang (32nd IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2021, Helsinki, Finland, September 13-16, 2021, 2021)

Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation - Siyuan Guo; Lixin Zou; Yiding Liu; Wenwen Ye; Suqi Cheng; Shuaiqiang Wang; Hechang Chen; Dawei Yin; Yi Chang (SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021, 2021)

DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval - Weinan Zhang; Xiangyu Zhao; Li Zhao; Dawei Yin; Grace Hui Yang (SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021, 2021)

Unbiased Learning to Rank in Feeds Recommendation - Xinwei Wu; Hechang Chen; Jiashu Zhao; Li He; Dawei Yin; Yi Chang (WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021, 2021)

UserSim: User Simulation via Supervised GenerativeAdversarial Network - Xiangyu Zhao; Long Xia; Lixin Zou; Hui Liu; Dawei Yin; Jiliang Tang (WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021, 2021)

SceneRec: Scene-Based Graph Neural Networks for Recommender Systems - Gang Wang; Ziyi Guo; Xiang Li; Dawei Yin; Shuai Ma (CoRR, 2021)

User-Inspired Posterior Network for Recommendation Reason Generation - Haolan Zhan; Hainan Zhang; Hongshen Chen; Lei Shen; Yanyan Lan; Zhuoye Ding; Dawei Yin (CoRR, 2021)

First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction - Lianzhe Huang; Peiyi Wang; Sujian Li; Tianyu Liu; Xiaodong Zhang; Zhicong Cheng; Dawei Yin; Houfeng Wang (CoRR, 2021)

Data-Efficient Reinforcement Learning for Malaria Control - Lixin Zou; Long Xia; Linfang Hou; Xiangyu Zhao; Dawei Yin (CoRR, 2021)

Pre-trained Language Model based Ranking in Baidu Search - Lixin Zou; Shengqiang Zhang; Hengyi Cai; Dehong Ma; Suqi Cheng; Daiting Shi; Shuaiqiang Wang; Zhicong Cheng; Dawei Yin (CoRR, 2021)

Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation - Siyuan Guo; Lixin Zou; Yiding Liu; Wenwen Ye; Suqi Cheng; Shuaiqiang Wang; Hechang Chen; Dawei Yin; Yi Chang (CoRR, 2021)

Pre-trained Language Model for Web-scale Retrieval in Baidu Search - Yiding Liu; Guan Huang; Jiaxiang Liu; Weixue Lu; Suqi Cheng; Yukun Li; Daiting Shi; Shuaiqiang Wang; Zhicong Cheng; Dawei Yin (CoRR, 2021)

Enhancing Question Generation with Commonsense Knowledge - Xin Jia; Hao Wang; Dawei Yin; Yunfang Wu (CoRR, 2021)

Exposing Length Divergence Bias of Textual Matching Models - Lan Jiang; Tianshu Lyu; Chong Meng; Xiaoyong Lyu; Dawei Yin (CoRR, 2021)

Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks - Huance Xu; Chao Huang; Yong Xu; Lianghao Xia; Hao Xing; Dawei Yin (CoRR, 2021)

Learning Reinforced Dynamic Representations for Sequential Recommendation - Weiqi Shao; Xu Chen; Jiashu Zhao; Long Xia; Dawei Yin (CoRR, 2021)

Sequential Recommendation with Adaptive Preference Disentanglement - Weiqi Shao; Xu Chen; Jiashu Zhao; Long Xia; Dawei Yin (CoRR, 2021)

Report on the international workshop on natural language processing for recommendations (NLP4REC 2020) workshop held at WSDM 2020 - Xiao Huang; Pengjie Ren; Zhaochun Ren; Fei Sun; Xiangnan He; Dawei Yin; Maarten de Rijke (SIGIR Forum, 2020)

Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network - Xu Chen; Kun Xiong; Yongfeng Zhang; Long Xia; Dawei Yin; Jimmy Xiangji Huang (ACM Trans. Inf. Syst., 2020)

Learning from Easy to Complex: Adaptive Multi-Curricula Learning for Neural Dialogue Generation - Hengyi Cai; Hongshen Chen; Cheng Zhang; Yonghao Song; Xiaofang Zhao; Yangxi Li; Dongsheng Duan; Dawei Yin (The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, 2020)

Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network - Shaoxiong Feng; Hongshen Chen; Kan Li; Dawei Yin (The Thirty-Fourth AAAI Conference on Artificial Intelligence, AAAI 2020, The Thirty-Second Innovative Applications of Artificial Intelligence Conference, IAAI 2020, The Tenth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2020, New York, NY, USA, February 7-12, 2020, 2020)

Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight - Hengyi Cai; Hongshen Chen; Yonghao Song; Cheng Zhang; Xiaofang Zhao; Dawei Yin (Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Online, July 5-10, 2020, 2020)

Whole-Chain Recommendations - Xiangyu Zhao; Long Xia; Lixin Zou; Hui Liu; Dawei Yin; Jiliang Tang (CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020, 2020)

Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems - Yulong Gu; Zhuoye Ding; Shuaiqiang Wang; Lixin Zou; Yiding Liu; Dawei Yin (CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020, 2020)

Game Recommendation Based on Dynamic Graph Convolutional Network - Wenwen Ye; Zheng Qin; Zhuoye Ding; Dawei Yin (Database Systems for Advanced Applications - 25th International Conference, DASFAA 2020, Jeju, South Korea, September 24-27, 2020, Proceedings, Part I, 2020)

Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks - Huance Xu; Chao Huang; Yong Xu; Lianghao Xia; Hao Xing; Dawei Yin (20th IEEE International Conference on Data Mining, ICDM 2020, Sorrento, Italy, November 17-20, 2020, 2020)

Exemplar Guided Neural Dialogue Generation - Hengyi Cai; Hongshen Chen; Yonghao Song; Xiaofang Zhao; Dawei Yin (Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020, 2020)

Modeling Topical Relevance for Multi-Turn Dialogue Generation - Hainan Zhang; Yanyan Lan; Liang Pang; Hongshen Chen; Zhuoye Ding; Dawei Yin (Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020, 2020)

CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data - Xiang Li; Ben Kao; Caihua Shan; Dawei Yin; Martin Ester (KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, 2020, 2020)

Reinforcement Learning to Rank with Pairwise Policy Gradient - Jun Xu; Zeng Wei; Long Xia; Yanyan Lan; Dawei Yin; Xueqi Cheng; Ji-Rong Wen (Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020, 2020)

Streaming Graph Neural Networks - Yao Ma; Ziyi Guo; Zhaochun Ren; Jiliang Tang; Dawei Yin (Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020, 2020)

Neural Interactive Collaborative Filtering - Lixin Zou; Long Xia; Yulong Gu; Xiangyu Zhao; Weidong Liu; Jimmy Xiangji Huang; Dawei Yin (Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020, 2020)

Time Matters: Sequential Recommendation with Complex Temporal Information - Wenwen Ye; Shuaiqiang Wang; Xu Chen; Xuepeng Wang; Zheng Qin; Dawei Yin (Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020, 2020)

User-Inspired Posterior Network for Recommendation Reason Generation - Haolan Zhan; Hainan Zhang; Hongshen Chen; Lei Shen; Yanyan Lan; Zhuoye Ding; Dawei Yin (Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020, 2020)

AIIS: The SIGIR 2020 Workshop on Applied Interactive Information Systems - Hongshen Chen; Zhaochun Ren; Pengjie Ren; Dawei Yin; Xiaodong He (Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020, 2020)

Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances - Weinan Zhang; Xiangyu Zhao; Li Zhao; Dawei Yin; Grace Hui Yang; Alex Beutel (Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, SIGIR 2020, Virtual Event, China, July 25-30, 2020, 2020)

Hierarchical User Profiling for E-commerce Recommender Systems - Yulong Gu; Zhuoye Ding; Shuaiqiang Wang; Dawei Yin (WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020, 2020)

Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation - Lixin Zou; Long Xia; Pan Du; Zhuo Zhang; Ting Bai; Weidong Liu; Jian-Yun Nie; Dawei Yin (WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020, 2020)

NLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations - Pengjie Ren; Zhaochun Ren; Fei Sun; Xiangnan He; Dawei Yin; Maarten de Rijke (WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020, 2020)

Keywords Generation Improves E-Commerce Session-based Recommendation - Yuanxing Liu; Zhaochun Ren; Wei-Nan Zhang; Wanxiang Che; Ting Liu; Dawei Yin (WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020)

GraphLIME: Local Interpretable Model Explanations for Graph Neural Networks - Qiang Huang; Makoto Yamada; Yuan Tian; Dinesh Singh; Dawei Yin; Yi Chang (CoRR, 2020)

Adaptive Parameterization for Neural Dialogue Generation - Hengyi Cai; Hongshen Chen; Cheng Zhang; Yonghao Song; Xiaofang Zhao; Dawei Yin (CoRR, 2020)

Learning from Easy to Complex: Adaptive Multi-curricula Learning for Neural Dialogue Generation - Hengyi Cai; Hongshen Chen; Cheng Zhang; Yonghao Song; Xiaofang Zhao; Yangxi Li; Dongsheng Duan; Dawei Yin (CoRR, 2020)

Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network - Shaoxiong Feng; Hongshen Chen; Kan Li; Dawei Yin (CoRR, 2020)

Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight - Hengyi Cai; Hongshen Chen; Yonghao Song; Cheng Zhang; Xiaofang Zhao; Dawei Yin (CoRR, 2020)

Robust Reinforcement Learning with Wasserstein Constraint - Linfang Hou; Liang Pang; Xin Hong; Yanyan Lan; Zhiming Ma; Dawei Yin (CoRR, 2020)

CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data - Xiang Li; Ben Kao; Caihua Shan; Dawei Yin; Martin Ester (CoRR, 2020)

Neural Interactive Collaborative Filtering - Lixin Zou; Long Xia; Yulong Gu; Xiangyu Zhao; Weidong Liu; Jimmy Xiangji Huang; Dawei Yin (CoRR, 2020)

Modeling Topical Relevance for Multi-Turn Dialogue Generation - Hainan Zhang; Yanyan Lan; Liang Pang; Hongshen Chen; Zhuoye Ding; Dawei Yin (CoRR, 2020)

Deep reinforcement learning for search, recommendation, and online advertising: a survey - Xiangyu Zhao; Long Xia; Jiliang Tang; Dawei Yin (SIGWEB Newsl., 2019)

Spectral Clustering in Heterogeneous Information Networks - Xiang Li; Ben Kao; Zhaochun Ren; Dawei Yin (The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, The Thirty-First Innovative Applications of Artificial Intelligence Conference, IAAI 2019, The Ninth AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019, Honolulu, Hawaii, USA, January 27 - February 1, 2019, 2019)

A Dynamic Product-aware Learning Model for E-commerce Query Intent Understanding - Jiashu Zhao; Hongshen Chen; Dawei Yin (Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019, 2019)

Fine-Grained Product Categorization in E-commerce - Hongshen Chen; Jiashu Zhao; Dawei Yin (Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019, 2019)

Reinforcement Learning to Diversify Top-N Recommendation - Lixin Zou; Long Xia; Zhuoye Ding; Dawei Yin; Jiaxing Song; Weidong Liu (Database Systems for Advanced Applications - 24th International Conference, DASFAA 2019, Chiang Mai, Thailand, April 22-25, 2019, Proceedings, Part II, 2019)

Adaptive Parameterization for Neural Dialogue Generation - Hengyi Cai; Hongshen Chen; Cheng Zhang; Yonghao Song; Xiaofang Zhao; Dawei Yin (Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019, 2019)

Attribute-aware Sequence Network for Review Summarization - Junjie Li; Xuepeng Wang; Dawei Yin; Chengqing Zong (Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019, 2019)

Weight Loss Prediction in Social-Temporal Context - Zhiwei Wang; Xiaorui Liu; Jiliang Tang; Dawei Yin (2019 IEEE International Conference on Healthcare Informatics, ICHI 2019, Xi'an, China, June 10-13, 2019, 2019)

Semi-supervised User Profiling with Heterogeneous Graph Attention Networks - Weijian Chen; Yulong Gu; Zhaochun Ren; Xiangnan He; Hongtao Xie; Tong Guo; Dawei Yin; Yongdong Zhang (Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019, 2019)

Off-policy Learning for Multiple Loggers - Li He; Long Xia; Wei Zeng; Zhi-Ming Ma; Yihong Zhao; Dawei Yin (Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019, 2019)

Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics - Chao Huang; Xian Wu; Xuchao Zhang; Chuxu Zhang; Jiashu Zhao; Dawei Yin; Nitesh V. Chawla (Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019, 2019)

Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems - Lixin Zou; Long Xia; Zhuoye Ding; Jiaxing Song; Weidong Liu; Dawei Yin (Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019, 2019)

Deep social collaborative filtering - Wenqi Fan; Yao Ma; Dawei Yin; Jianping Wang; Jiliang Tang; Qing Li (Proceedings of the 13th ACM Conference on Recommender Systems, RecSys 2019, Copenhagen, Denmark, September 16-20, 2019, 2019)

Multi-dimensional Graph Convolutional Networks - Yao Ma; Suhang Wang; Charu C. Aggarwal; Dawei Yin; Jiliang Tang (Proceedings of the 2019 SIAM International Conference on Data Mining, SDM 2019, Calgary, Alberta, Canada, May 2-4, 2019, 2019)

Product-Aware Answer Generation in E-Commerce Question-Answering - Shen Gao; Zhaochun Ren; Yihong Eric Zhao; Dongyan Zhao; Dawei Yin; Rui Yan (Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019, 2019)

DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications - Yixing Fan; Qingyao Ai; Zhaochun Ren; Liangjie Hong; Dawei Yin; Jiafeng Guo (Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019, 2019)

Graph Neural Networks for Social Recommendation - Wenqi Fan; Yao Ma; Qing Li; Yuan He; Yihong Eric Zhao; Jiliang Tang; Dawei Yin (The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019, 2019)

MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting - Chao Huang; Chuxu Zhang; Jiashu Zhao; Xian Wu; Nitesh V. Chawla; Dawei Yin (The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019, 2019)

Product-Aware Answer Generation in E-Commerce Question-Answering - Shen Gao; Zhaochun Ren; Yihong Eric Zhao; Dongyan Zhao; Dawei Yin; Rui Yan (CoRR, 2019)

Model-Based Reinforcement Learning for Whole-Chain Recommendations - Xiangyu Zhao; Long Xia; Yihong Zhao; Dawei Yin; Jiliang Tang (CoRR, 2019)

Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems - Lixin Zou; Long Xia; Zhuoye Ding; Jiaxing Song; Weidong Liu; Dawei Yin (CoRR, 2019)

Graph Neural Networks for Social Recommendation - Wenqi Fan; Yao Ma; Qing Li; Yuan He; Yihong Eric Zhao; Jiliang Tang; Dawei Yin (CoRR, 2019)

Toward Simulating Environments in Reinforcement Learning Based Recommendations - Xiangyu Zhao; Long Xia; Zhuoye Ding; Dawei Yin; Jiliang Tang (CoRR, 2019)

Deep Social Collaborative Filtering - Wenqi Fan; Yao Ma; Dawei Yin; Jianping Wang; Jiliang Tang; Qing Li (CoRR, 2019)

Off-policy Learning for Multiple Loggers - Li He; Long Xia; Wei Zeng; Zhi-Ming Ma; Yihong Zhao; Dawei Yin (CoRR, 2019)

Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data - Makoto Yamada; Jiliang Tang; Jose Lugo-Martinez; Ermin Hodzic; Raunak Shrestha; Avishek Saha; Hua Ouyang; Dawei Yin; Hiroshi Mamitsuka; Süleyman Cenk Sahinalp; Predrag Radivojac; Filippo Menczer; et al. (IEEE Trans. Knowl. Data Eng., 2018)

Optimizing Whole-Page Presentation for Web Search - Yue Wang; Dawei Yin; Luo Jie; Pengyuan Wang; Makoto Yamada; Yi Chang; Qiaozhu Mei (ACM Trans. Web, 2018)

Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures - Wenqiang Lei; Xisen Jin; Min-Yen Kan; Zhaochun Ren; Xiangnan He; Dawei Yin (Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, July 15-20, 2018, Volume 1: Long Papers, 2018)

Knowledge Diffusion for Neural Dialogue Generation - Shuman Liu; Hongshen Chen; Zhaochun Ren; Yang Feng; Qun Liu; Dawei Yin (Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, July 15-20, 2018, Volume 1: Long Papers, 2018)

Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation - Xisen Jin; Wenqiang Lei; Zhaochun Ren; Hongshen Chen; Shangsong Liang; Yihong Zhao; Dawei Yin (Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018, 2018)

Learning Tag Dependencies for Sequence Tagging - Yuan Zhang; Hongshen Chen; Yihong Zhao; Qun Liu; Dawei Yin (Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stockholm, Sweden, 2018)

Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning - Xiangyu Zhao; Liang Zhang; Zhuoye Ding; Long Xia; Jiliang Tang; Dawei Yin (Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2018, London, UK, August 19-23, 2018, 2018)

Deep reinforcement learning for page-wise recommendations - Xiangyu Zhao; Long Xia; Liang Zhang; Zhuoye Ding; Dawei Yin; Jiliang Tang (Proceedings of the 12th ACM Conference on Recommender Systems, RecSys 2018, Vancouver, BC, Canada, October 2-7, 2018, 2018)

Information Discovery in E-commerce: Half-day SIGIR 2018 Tutorial - Zhaochun Ren; Xiangnan He; Dawei Yin; Maarten de Rijke (The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018, 2018)

Multi-Dimensional Network Embedding with Hierarchical Structure - Yao Ma; Zhaochun Ren; Ziheng Jiang; Jiliang Tang; Dawei Yin (Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018, 2018)

A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce - Zihan Wang; Ziheng Jiang; Zhaochun Ren; Jiliang Tang; Dawei Yin (Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018, 2018)

Micro Behaviors: A New Perspective in E-commerce Recommender Systems - Meizi Zhou; Zhuoye Ding; Jiliang Tang; Dawei Yin (Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018, 2018)

Hierarchical Variational Memory Network for Dialogue Generation - Hongshen Chen; Zhaochun Ren; Jiliang Tang; Yihong Eric Zhao; Dawei Yin (Proceedings of the 2018 World Wide Web Conference on World Wide Web, WWW 2018, Lyon, France, April 23-27, 2018, 2018)

Deep Reinforcement Learning for List-wise Recommendations - Xiangyu Zhao; Liang Zhang; Zhuoye Ding; Dawei Yin; Yihong Zhao; Jiliang Tang (CoRR, 2018)

Recommendations with Negative Feedback via Pairwise Deep Reinforcement Learning - Xiangyu Zhao; Liang Zhang; Zhuoye Ding; Long Xia; Jiliang Tang; Dawei Yin (CoRR, 2018)

Deep Reinforcement Learning for Page-wise Recommendations - Xiangyu Zhao; Long Xia; Liang Zhang; Zhuoye Ding; Dawei Yin; Jiliang Tang (CoRR, 2018)

Multi-dimensional Graph Convolutional Networks - Yao Ma; Suhang Wang; Charu C. Aggarwal; Dawei Yin; Jiliang Tang (CoRR, 2018)

Linked Recurrent Neural Networks - Zhiwei Wang; Yao Ma; Dawei Yin; Jiliang Tang (CoRR, 2018)

Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation - Xisen Jin; Wenqiang Lei; Zhaochun Ren; Hongshen Chen; Shangsong Liang; Yihong Zhao; Dawei Yin (CoRR, 2018)

Dynamic Graph Neural Networks - Yao Ma; Ziyi Guo; Zhaochun Ren; Yihong Eric Zhao; Jiliang Tang; Dawei Yin (CoRR, 2018)

Reinforcement Learning for Online Information Seeking - Xiangyu Zhao; Long Xia; Jiliang Tang; Dawei Yin (CoRR, 2018)

A Survey on Dialogue Systems: Recent Advances and New Frontiers - Hongshen Chen; Xiaorui Liu; Dawei Yin; Jiliang Tang (SIGKDD Explor., 2017)

Large-Scale Location Prediction for Web Pages - Yuening Hu; Changsung Kang; Jiliang Tang; Dawei Yin; Yi Chang (IEEE Trans. Knowl. Data Eng., 2017)

Understanding and Predicting Weight Loss with Mobile Social Networking Data - Zhiwei Wang; Tyler Derr; Dawei Yin; Jiliang Tang (Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017, 2017)

Streaming Recommender Systems - Shiyu Chang; Yang Zhang; Jiliang Tang; Dawei Yin; Yi Chang; Mark A. Hasegawa-Johnson; Thomas S. Huang (Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017, 2017)

Preserving Local and Global Information for Network Embedding - Yao Ma; Suhang Wang; Zhaochun Ren; Dawei Yin; Jiliang Tang (CoRR, 2017)

A Survey on Dialogue Systems: Recent Advances and New Frontiers - Hongshen Chen; Xiaorui Liu; Dawei Yin; Jiliang Tang (CoRR, 2017)

Recommendation with Social Dimensions - Jiliang Tang; Suhang Wang; Xia Hu; Dawei Yin; Yingzhou Bi; Yi Chang; Huan Liu (Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA, 2016)

Learning to Rewrite Queries - Yunlong He; Jiliang Tang; Hua Ouyang; Changsung Kang; Dawei Yin; Yi Chang (Proceedings of the 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, USA, October 24-28, 2016, 2016)

Timeline Summarization from Social Media with Life Cycle Models - Yi Chang; Jiliang Tang; Dawei Yin; Makoto Yamada; Yan Liu (Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016, 2016)

Ranking Relevance in Yahoo Search - Dawei Yin; Yuening Hu; Jiliang Tang; Tim Daly Jr.; Mianwei Zhou; Hua Ouyang; Jianhui Chen; Changsung Kang; Hongbo Deng; Chikashi Nobata; Jean-Marc Langlois; Yi Chang (Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13-17, 2016, 2016)

Positive-Unlabeled Learning in Streaming Networks - Shiyu Chang; Yang Zhang; Jiliang Tang; Dawei Yin; Yi Chang; Mark A. Hasegawa-Johnson; Thomas S. Huang (Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA, August 13-17, 2016, 2016)

Learning Query and Document Relevance from a Web-scale Click Graph - Shan Jiang; Yuening Hu; Changsung Kang; Tim Daly Jr.; Dawei Yin; Yi Chang; ChengXiang Zhai (Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, SIGIR 2016, Pisa, Italy, July 17-21, 2016, 2016)

Leveraging User Interaction Signals for Web Image Search - Neil O'Hare; Paloma de Juan; Rossano Schifanella; Yunlong He; Dawei Yin; Yi Chang (Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, SIGIR 2016, Pisa, Italy, July 17-21, 2016, 2016)

Beyond Ranking: Optimizing Whole-Page Presentation - Yue Wang; Dawei Yin; Luo Jie; Pengyuan Wang; Makoto Yamada; Yi Chang; Qiaozhu Mei (Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, San Francisco, CA, USA, February 22-25, 2016, 2016)

Streaming Recommender Systems - Shiyu Chang; Yang Zhang; Jiliang Tang; Dawei Yin; Yi Chang; Mark A. Hasegawa-Johnson; Thomas S. Huang (CoRR, 2016)

Learning to rank related entities in Web search - Changsung Kang; Dawei Yin; Ruiqiang Zhang; Nicolas Torzec; Jianzhang He; Yi Chang (Neurocomputing, 2015)

Causal Inference via Sparse Additive Models with Application to Online Advertising - Wei Sun; Pengyuan Wang; Dawei Yin; Jian Yang; Yi Chang (Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA, 2015)

Consistent Collective Matrix Completion under Joint Low Rank Structure - Suriya Gunasekar; Makoto Yamada; Dawei Yin; Yi Chang (Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2015, San Diego, California, USA, May 9-12, 2015, 2015)

Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis - Pengyuan Wang; Wei Sun; Dawei Yin; Jian Yang; Yi Chang (Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, WSDM 2015, Shanghai, China, February 2-6, 2015, 2015)

The 2nd workshop on Vertical Search Relevance at WSDM 2015 - Dawei Yin; Chih-Chieh Hung; Rui Li; Yi Chang (Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, WSDM 2015, Shanghai, China, February 2-6, 2015, 2015)

Rethink Targeting: Detect 'Smart Cheating' in Online Advertising through Causal Inference - Pengyuan Wang; Dawei Yin; Jian Yang; Yi Chang; Marsha Meytlis (Proceedings of the 24th International Conference on World Wide Web Companion, WWW 2015, Florence, Italy, May 18-22, 2015 - Companion Volume, 2015)

What Size Should A Mobile Ad Be? - Pengyuan Wang; Wei Sun; Dawei Yin (Proceedings of the 24th International Conference on World Wide Web Companion, WWW 2015, Florence, Italy, May 18-22, 2015 - Companion Volume, 2015)

Recommendation in Academia: A joint multi-relational model - Zaihan Yang; Dawei Yin; Brian D. Davison (2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014, Beijing, China, August 17-20, 2014, 2014)

Exploiting contextual factors for click modeling in sponsored search - Dawei Yin; Shike Mei; Bin Cao; Jian-Tao Sun; Brian D. Davison (Seventh ACM International Conference on Web Search and Data Mining, WSDM 2014, New York, NY, USA, February 24-28, 2014, 2014)

Estimating ad group performance in sponsored search - Dawei Yin; Bin Cao; Jian-Tao Sun; Brian D. Davison (Seventh ACM International Conference on Web Search and Data Mining, WSDM 2014, New York, NY, USA, February 24-28, 2014, 2014)

N^3LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data - Makoto Yamada; Avishek Saha; Hua Ouyang; Dawei Yin; Yi Chang (CoRR, 2014)

Consistent Collective Matrix Completion under Joint Low Rank Structure - Suriya Gunasekar; Makoto Yamada; Dawei Yin; Yi Chang (CoRR, 2014)

Convex Collective Matrix Factorization - Guillaume Bouchard; Dawei Yin; Shengbo Guo (Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2013, Scottsdale, AZ, USA, April 29 - May 1, 2013, 2013)

Connecting comments and tags: improved modeling of social tagging systems - Dawei Yin; Shengbo Guo; Boris Chidlovskii; Brian D. Davison; Cédric Archambeau; Guillaume Bouchard (Sixth ACM International Conference on Web Search and Data Mining, WSDM 2013, Rome, Italy, February 4-8, 2013, 2013)

Co-evolution of symptom-herb relationship - Josiah Poon; Dawei Yin; Simon K. Poon; Runshun Zhang; Baoyan Liu; Daniel Man-yuen Sze (Proceedings of the IEEE Congress on Evolutionary Computation, CEC 2012, Brisbane, Australia, June 10-15, 2012, 2012)

Normalizing Microtext - Zhenzhen Xue; Dawei Yin; Brian D. Davison (Analyzing Microtext, Papers from the 2011 AAAI Workshop, San Francisco, California, USA, August 8, 2011, 2011)

Temporal Dynamics of User Interests in Tagging Systems - Dawei Yin; Liangjie Hong; Zhenzhen Xue; Brian D. Davison (Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2011, San Francisco, California, USA, August 7-11, 2011, 2011)

Co-evolutionary genetic algorithm in symptom-herb relationship discovery - Josiah Poon; Dawei Yin; Simon K. Poon; Xuezhong Zhou; Runshun Zhang; Baoyan Liu; Daniel Man-yuen Sze (2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2011, Atlanta, GA, USA, November 12-15, 2011, 2011)

Structural link analysis and prediction in microblogs - Dawei Yin; Liangjie Hong; Brian D. Davison (Proceedings of the 20th ACM Conference on Information and Knowledge Management, CIKM 2011, Glasgow, United Kingdom, October 24-28, 2011, 2011)

Tracking trends: incorporating term volume into temporal topic models - Liangjie Hong; Dawei Yin; Jian Guo; Brian D. Davison (Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Diego, CA, USA, August 21-24, 2011, 2011)

Award prediction with temporal citation network analysis - Zaihan Yang; Dawei Yin; Brian D. Davison (Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2011, Beijing, China, July 25-29, 2011, 2011)

Link formation analysis in microblogs - Dawei Yin; Liangjie Hong; Xiong Xiong; Brian D. Davison (Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2011, Beijing, China, July 25-29, 2011, 2011)

Exploiting session-like behaviors in tag prediction - Dawei Yin; Liangjie Hong; Brian D. Davison (Proceedings of the 20th International Conference on World Wide Web, WWW 2011, Hyderabad, India, March 28 - April 1, 2011 (Companion Volume), 2011)

Studying herb-herb interaction for insomnia through the theory of complementarities - Josiah Poon; Simon K. Poon; Dawei Yin; Kelvin Chan; Clement Loy; Xuezhong Zhou; Runshun Zhang; Baoyan Liu; Paul Kwan; Daniel Man-yuen Sze; Junbin Gao (2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010, Hong Kong, December 18, 2010, 2010)

Choosing your own adventure: automatic taxonomy generation to permit many paths - Xiaoguang Qi; Dawei Yin; Zhenzhen Xue; Brian D. Davison (Proceedings of the 19th ACM Conference on Information and Knowledge Management, CIKM 2010, Toronto, Ontario, Canada, October 26-30, 2010, 2010)

Safely selecting subsets of training data - Dawei Yin; Chang An; Henry S. Baird (The Ninth IAPR International Workshop on Document Analysis Systems, DAS 2010, June 9-11, 2010, Boston, Massachusetts, USA, 2010)

Time and space optimization of document content classifiers - Dawei Yin; Henry S. Baird; Chang An (Document Recognition and Retrieval XVII, part of the IS&T-SPIE Electronic Imaging Symposium, San Jose, CA, USA, January 19-21, 2010, Proceedings, 2010)

Document Segmentation Using Pixel-Accurate Ground Truth - Chang An; Dawei Yin; Henry S. Baird (20th International Conference on Pattern Recognition, ICPR 2010, Istanbul, Turkey, 23-26 August 2010, 2010)

Imbalance and Concentration in k-NN Classification - Dawei Yin; Chang An; Henry S. Baird (20th International Conference on Pattern Recognition, ICPR 2010, Istanbul, Turkey, 23-26 August 2010, 2010)

A probabilistic model for personalized tag prediction - Dawei Yin; Zhenzhen Xue; Liangjie Hong; Brian D. Davison (Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, July 25-28, 2010, 2010)

A note on on-line broadcast scheduling with deadlines - Xin Han; He Guo; Dawei Yin; Yong Zhang (Inf. Process. Lett., 2009)

Diversifying Search Results with Popular Subtopics - Dawei Yin; Zhenzhen Xue; Xiaoguang Qi; Brian D. Davison (Proceedings of The Eighteenth Text REtrieval Conference, TREC 2009, Gaithersburg, Maryland, USA, November 17-20, 2009, 2009)