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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

GS2P: a generative pre-trained learning to rank model with over-parameterization for web-scale search. - Li, Yuchen; Xiong, Haoyi; Kong, Linghe; Bian, Jiang; Wang, Shuaiqiang; Chen, Guihai; Yin, Dawei (Mach. Learn., 2024)

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

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

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

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

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

Exploring Memorization in Fine-tuned Language Models. - Zeng, Shenglai; Li, Yaxin; Ren, Jie; Liu, Yiding; Xu, Han; He, Pengfei; Xing, Yue; Wang, Shuaiqiang; Tang, Jiliang; Yin, Dawei (2024)

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

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

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

Hyperbolic Contrastive Learning for Cross-Domain Recommendation. - Yang, Xin; Chang, Heng; Lai, Zhijian; Yang, Jinze; Li, Xingrun; Lu, Yu; Wang, Shuaiqiang; Yin, Dawei; Min, Erxue (2024)

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

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

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

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

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

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

Towards Verifiable Text Generation with Evolving Memory and Self-Reflection. - Sun, Hao; Cai, Hengyi; Wang, Bo; Hou, Yingyan; Wei, Xiaochi; Wang, Shuaiqiang; Zhang, Yan; Yin, Dawei (2024)

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

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

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

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

LT2R: Learning to Online Learning to Rank for Web Search. - Chu, Xiaokai; Hao, Changying; Wang, Shuaiqiang; Yin, Dawei; Zhao, Jiashu; Zou, Lixin; Li, Chenliang (2024)

Graph Neural Stochastic Diffusion for Estimating Uncertainty in Node Classification. - Lin, Xixun; Zhang, Wenxiao; Shi, Fengzhao; Zhou, Chuan; Zou, Lixin; Zhao, Xiangyu; Yin, Dawei; Pan, Shirui; Cao, Yanan (2024)

GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract). - Li, Yuchen; Xiong, Haoyi; Kong, Linghe; Bian, Jiang; Wang, Shuaiqiang; Chen, Guihai; Yin, Dawei (2024)

MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract). - Li, Yuchen; Xiong, Haoyi; Kong, Linghe; Sun, Zeyi; Chen, Hongyang; Wang, Shuaiqiang; Yin, Dawei (2024)

Theoretical Bounds for the Size of Elementary Trapping Sets by Graph Theory Methods. - Xiong, Haoran; Ye, Zicheng; Zhang, Huazi; Wang, Jun; Liu, Ke; Yin, Dawei; Wang, Guanghui; Yan, Guiying; Ma, Zhiming (2024)

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

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

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

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

A Robust Semantics-based Watermark for Large Language Model against Paraphrasing. - Ren, Jie; Xu, Han; Liu, Yiding; Cui, Yingqian; Wang, Shuaiqiang; Yin, Dawei; Tang, Jiliang (2024)

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

MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion. - Jia, Pengyue; Liu, Yiding; Zhao, Xiangyu; Li, Xiaopeng; Hao, Changying; Wang, Shuaiqiang; Yin, Dawei (2024)

UEGP: Unified Expert-Guided Pre-training for Knowledge Rekindle. - Mou, Yutao; Wang, Kexiang; Lin, Jianhe; Ma, Dehong; Fan, Jun; Shi, Daiting; Cheng, Zhicong; Gu, Simiu; Yin, Dawei; Xu, Weiran (2024)

Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method. - Zhao, Yukun; Yan, Lingyong; Sun, Weiwei; Xing, Guoliang; Meng, Chong; Wang, Shuaiqiang; Cheng, Zhicong; Ren, Zhaochun; Yin, Dawei (2024)

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

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

PSP: Pre-training and Structure Prompt Tuning for Graph Neural Networks. - Ge, Qingqing; Zhao, Zeyuan; Liu, Yiding; Cheng, Anfeng; Li, Xiang; Wang, Shuaiqiang; Yin, Dawei (2024)

Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback. - Dong, Qian; Liu, Yiding; Ai, Qingyao; Wu, Zhijing; Li, Haitao; Liu, Yiqun; Wang, Shuaiqiang; Yin, Dawei; Ma, Shaoping (2024)

GraphGPT: Graph Instruction Tuning for Large Language Models. - Tang, Jiabin; Yang, Yuhao; Wei, Wei; Shi, Lei; Su, Lixin; Cheng, Suqi; Yin, Dawei; Huang, Chao (2024)

Unbiased Learning-to-Rank Needs Unconfounded Propensity Estimation. - Luo, Dan; Zou, Lixin; Ai, Qingyao; Chen, Zhiyu; Li, Chenliang; Yin, Dawei; Davison, Brian D. (2024)

AgentIR: 1st Workshop on Agent-based Information Retrieval. - Cai, Qingpeng; Zhao, Xiangyu; Pan, Ling; Xin, Xin; Huang, Jin; Zhang, Weinan; Zhao, Li; Yin, Dawei; Yang, Grace Hui (2024)

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

LLMRec: Large Language Models with Graph Augmentation for Recommendation. - Wei, Wei; Ren, Xubin; Tang, Jiabin; Wang, Qinyong; Su, Lixin; Cheng, Suqi; Wang, Junfeng; Yin, Dawei; Huang, Chao (2024)

Large Language Models for Graphs: Progresses and Directions. - Huang, Chao; Ren, Xubin; Tang, Jiabin; Yin, Dawei; Chawla, Nitesh V. (2024)

Whole Page Unbiased Learning to Rank. - Mao, Haitao; Zou, Lixin; Zheng, Yujia; Tang, Jiliang; Chu, Xiaokai; Zhao, Jiashu; Wang, Qian; Yin, Dawei (2024)

Representation Learning with Large Language Models for Recommendation. - Ren, Xubin; Wei, Wei; Xia, Lianghao; Su, Lixin; Cheng, Suqi; Wang, Junfeng; Yin, Dawei; Huang, Chao (2024)

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

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

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

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

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

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

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

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

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

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

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

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

XL2Bench: A Benchmark for Extremely Long Context Understanding with Long-range Dependencies. - Ni, Xuanfan; Cai, Hengyi; Wei, Xiaochi; Wang, Shuaiqiang; Yin, Dawei; Li, Piji (CoRR, 2024)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Feature-Level Debiased Natural Language Understanding. - Lyu, Yougang; Li, Piji; Yang, Yechang; Rijke, Maarten de; Ren, Pengjie; Zhao, Yukun; Yin, Dawei; Ren, Zhaochun (2023)

Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? - Li, Juanhui; Shomer, Harry; Ding, Jiayuan; Wang, Yiqi; Ma, Yao; Shah, Neil; Tang, Jiliang; Yin, Dawei (2023)

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

I3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval. - Dong, Qian; Liu, Yiding; Ai, Qingyao; Li, Haitao; Wang, Shuaiqiang; Liu, Yiqun; Yin, Dawei; Ma, Shaoping (2023)

DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval. - Xin, Xin; Zhao, Xiangyu; Huang, Jin; Zhang, Weinan; Zhao, Li; Yin, Dawei; Yang, Grace Hui (2023)

GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search. - Li, Yuchen; Xiong, Haoyi; Kong, Linghe; Bian, Jiang; Wang, Shuaiqiang; Chen, Guihai; Yin, Dawei (2023)

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents. - Sun, Weiwei; Yan, Lingyong; Ma, Xinyu; Wang, Shuaiqiang; Ren, Pengjie; Chen, Zhumin; Yin, Dawei; Ren, Zhaochun (2023)

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

MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale. - Li, Yuchen; Xiong, Haoyi; Kong, Linghe; Sun, Zeyi; Chen, Hongyang; Wang, Shuaiqiang; Yin, Dawei (2023)

Learning Discrete Document Representations in Web Search. - Huang, Rong; Zhang, Danfeng; Lu, Weixue; Li, Han; Wang, Meng; Shi, Daiting; Fan, Jun; Cheng, Zhicong; Gu, Simiu; Yin, Dawei (2023)

S2phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data. - Li, Yuchen; Xiong, Haoyi; Kong, Linghe; Wang, Qingzhong; Wang, Shuaiqiang; Chen, Guihai; Yin, Dawei (2023)

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

Knowing Before Seeing: Incorporating Post-retrieval Information into Pre-retrieval Query Intention Classification. - Ma, Xueqing; Wei, Xiaochi; Gao, Yixing; Feng, Runyang; Yin, Dawei; Chang, Yi (2023)

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

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

LtrGCN: Large-Scale Graph Convolutional Networks-Based Learning to Rank for Web Search. - Li, Yuchen; Xiong, Haoyi; Kong, Linghe; Wang, Shuaiqiang; Sun, Zeyi; Chen, Hongyang; Chen, Guihai; Yin, Dawei (2023)

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

Graph Enhanced BERT for Query Understanding. - Li, Juanhui; Zeng, Wei; Cheng, Suqi; Ma, Yao; Tang, Jiliang; Wang, Shuaiqiang; Yin, Dawei (2023)

Sequential Recommendation with User Evolving Preference Decomposition. - Shao, Weiqi; Chen, Xu; Zhao, Jiashu; Xia, Long; Zhang, Jingsen; Yin, Dawei (2023)

Model-based Unbiased Learning to Rank. - Luo, Dan; Zou, Lixin; Ai, Qingyao; Chen, Zhiyu; Yin, Dawei; Davison, Brian D. (2023)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

On Length Divergence Bias in Textual Matching Models. - Jiang, Lan; Lyu, Tianshu; Lin, Yankai; Meng, Chong; Lyu, Xiaoyong; Yin, Dawei (2022)

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

Self-Supervised Learning for Recommendation. - Huang, Chao; Xia, Lianghao; Wang, Xiang; He, Xiangnan; Yin, Dawei (2022)

Original Content Is All You Need! an Empirical Study on Leveraging Answer Summary for WikiHowQA Answer Selection Task. - Wen, Liang; Li, Juan; Wang, Houfeng; Luo, Yingwei; Wang, Xiaolin; Zhang, Xiaodong; Cheng, Zhicong; Yin, Dawei (2022)

Contrastive Disentangled Graph Convolutional Network for Weakly-Supervised Classification. - Chu, Xiaokai; Zhao, Jiashu; Fan, Xinxin; Yao, Di; Zhu, Zhihua; Zou, Lixin; Yin, Dawei; Bi, Jingping (2022)

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

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

A Question-Oriented Propagation Network for News Reading Comprehension. - Wen, Liang; Wang, Houfeng; Ma, Dehong; Fan, Jun; Luo, Yingwei; Wang, Xiaolin; Shi, Daiting; Cheng, Zhicong; Yin, Dawei (2022)

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

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

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

H-ERNIE: A Multi-Granularity Pre-Trained Language Model for Web Search. - Chu, Xiaokai; Zhao, Jiashu; Zou, Lixin; Yin, Dawei (2022)

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

Self-Supervised Learning for Recommender System. - Huang, Chao; Wang, Xiang; He, Xiangnan; Yin, Dawei (2022)

DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval. - Zhao, Xiangyu; Xin, Xin; Zhang, Weinan; Zhao, Li; Yin, Dawei; Yang, Grace Hui (2022)

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

Fast Semantic Matching via Flexible Contextualized Interaction. - Ye, Wenwen; Liu, Yiding; Zou, Lixin; Cai, Hengyi; Cheng, Suqi; Wang, Shuaiqiang; Yin, Dawei (2022)

A GNN-based Multi-task Learning Framework for Personalized Video Search. - Zhang, Li; Shi, Lei; Zhao, Jiashu; Yang, Juan; Lyu, Tianshu; Yin, Dawei; Lu, Haiping (2022)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

MGNETS: Multi-Graph Neural Networks for Table Search. - Chen, Zhiyu; Trabelsi, Mohamed; Heflin, Jeff; Yin, Dawei; Davison, Brian D. (2021)

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

CLASS: A Novel Method for Chinese Legal Judgments Summarization. - Li, Dongjin; Yang, Ke; Zhang, Lijun; Yin, Dawei; Peng, Dezhong (2021)

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

Purchase Intent Forecasting with Convolutional Hierarchical Transformer Networks. - Huang, Chao; Zhao, Jiashu; Yin, Dawei (2021)

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

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

2nd International Workshop on Industrial Recommendation Systems (IRS). - Xu, Jianpeng; Wu, Lingfei; Pang, Xiaolin; Sharma, Mohit; Yin, Dawei; Karypis, George; Basilico, Justin; Yu, Philip S. (2021)

Search for Good Irregular Low-Density Parity-Check Codes Via Graph Spectrum. - Yin, Dawei; Zhang, Xiaojing; Shu, Xichao; Yan, Guiying; Wang, Guanghui (2021)

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

DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval. - Zhang, Weinan; Zhao, Xiangyu; Zhao, Li; Yin, Dawei; Yang, Grace Hui (2021)

Unbiased Learning to Rank in Feeds Recommendation. - Wu, Xinwei; Chen, Hechang; Zhao, Jiashu; He, Li; Yin, Dawei; Chang, Yi (2021)

UserSim: User Simulation via Supervised GenerativeAdversarial Network. - Zhao, Xiangyu; Xia, Long; Zou, Lixin; Liu, Hui; Yin, Dawei; Tang, Jiliang (2021)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Whole-Chain Recommendations. - Zhao, Xiangyu; Xia, Long; Zou, Lixin; Liu, Hui; Yin, Dawei; Tang, Jiliang (2020)

Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems. - Gu, Yulong; Ding, Zhuoye; Wang, Shuaiqiang; Zou, Lixin; Liu, Yiding; Yin, Dawei (2020)

Game Recommendation Based on Dynamic Graph Convolutional Network. - Ye, Wenwen; Qin, Zheng; Ding, Zhuoye; Yin, Dawei (2020)

Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks. - Xu, Huance; Huang, Chao; Xu, Yong; Xia, Lianghao; Xing, Hao; Yin, Dawei (2020)

Exemplar Guided Neural Dialogue Generation. - Cai, Hengyi; Chen, Hongshen; Song, Yonghao; Zhao, Xiaofang; Yin, Dawei (2020)

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

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

Reinforcement Learning to Rank with Pairwise Policy Gradient. - Xu, Jun; Wei, Zeng; Xia, Long; Lan, Yanyan; Yin, Dawei; Cheng, Xueqi; Wen, Ji-Rong (2020)

Streaming Graph Neural Networks. - Ma, Yao; Guo, Ziyi; Ren, Zhaochun; Tang, Jiliang; Yin, Dawei (2020)

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

Time Matters: Sequential Recommendation with Complex Temporal Information. - Ye, Wenwen; Wang, Shuaiqiang; Chen, Xu; Wang, Xuepeng; Qin, Zheng; Yin, Dawei (2020)

User-Inspired Posterior Network for Recommendation Reason Generation. - Zhan, Haolan; Zhang, Hainan; Chen, Hongshen; Shen, Lei; Lan, Yanyan; Ding, Zhuoye; Yin, Dawei (2020)

AIIS: The SIGIR 2020 Workshop on Applied Interactive Information Systems. - Chen, Hongshen; Ren, Zhaochun; Ren, Pengjie; Yin, Dawei; He, Xiaodong (2020)

Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances. - Zhang, Weinan; Zhao, Xiangyu; Zhao, Li; Yin, Dawei; Yang, Grace Hui; Beutel, Alex (2020)

Hierarchical User Profiling for E-commerce Recommender Systems. - Gu, Yulong; Ding, Zhuoye; Wang, Shuaiqiang; Yin, Dawei (2020)

Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation. - Zou, Lixin; Xia, Long; Du, Pan; Zhang, Zhuo; Bai, Ting; Liu, Weidong; Nie, Jian-Yun; Yin, Dawei (2020)

NLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations. - Ren, Pengjie; Ren, Zhaochun; Sun, Fei; He, Xiangnan; Yin, Dawei; Rijke, Maarten de (2020)

Keywords Generation Improves E-Commerce Session-based Recommendation. - Liu, Yuanxing; Ren, Zhaochun; Zhang, Wei-Nan; Che, Wanxiang; Liu, Ting; Yin, Dawei (2020)

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

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

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

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

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

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

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

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

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

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

Spectral Clustering in Heterogeneous Information Networks. - Li, Xiang; Kao, Ben; Ren, Zhaochun; Yin, Dawei (2019)

A Dynamic Product-aware Learning Model for E-commerce Query Intent Understanding. - Zhao, Jiashu; Chen, Hongshen; Yin, Dawei (2019)

Fine-Grained Product Categorization in E-commerce. - Chen, Hongshen; Zhao, Jiashu; Yin, Dawei (2019)

Reinforcement Learning to Diversify Top-N Recommendation. - Zou, Lixin; Xia, Long; Ding, Zhuoye; Yin, Dawei; Song, Jiaxing; Liu, Weidong (2019)

Adaptive Parameterization for Neural Dialogue Generation. - Cai, Hengyi; Chen, Hongshen; Zhang, Cheng; Song, Yonghao; Zhao, Xiaofang; Yin, Dawei (2019)

Attribute-aware Sequence Network for Review Summarization. - Li, Junjie; Wang, Xuepeng; Yin, Dawei; Zong, Chengqing (2019)

Weight Loss Prediction in Social-Temporal Context. - Wang, Zhiwei; Liu, Xiaorui; Tang, Jiliang; Yin, Dawei (2019)

Semi-supervised User Profiling with Heterogeneous Graph Attention Networks. - Chen, Weijian; Gu, Yulong; Ren, Zhaochun; He, Xiangnan; Xie, Hongtao; Guo, Tong; Yin, Dawei; Zhang, Yongdong (2019)

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

Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics. - Huang, Chao; Wu, Xian; Zhang, Xuchao; Zhang, Chuxu; Zhao, Jiashu; Yin, Dawei; Chawla, Nitesh V. (2019)

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

Deep social collaborative filtering. - Fan, Wenqi; Ma, Yao; Yin, Dawei; Wang, Jianping; Tang, Jiliang; Li, Qing (2019)

Multi-dimensional Graph Convolutional Networks. - Ma, Yao; Wang, Suhang; Aggarwal, Charu C.; Yin, Dawei; Tang, Jiliang (2019)

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

DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications. - Fan, Yixing; Ai, Qingyao; Ren, Zhaochun; Hong, Liangjie; Yin, Dawei; Guo, Jiafeng (2019)

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

MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting. - Huang, Chao; Zhang, Chuxu; Zhao, Jiashu; Wu, Xian; Chawla, Nitesh V.; Yin, Dawei (2019)

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

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

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

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

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

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

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

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

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

Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures. - Lei, Wenqiang; Jin, Xisen; Kan, Min-Yen; Ren, Zhaochun; He, Xiangnan; Yin, Dawei (2018)

Knowledge Diffusion for Neural Dialogue Generation. - Liu, Shuman; Chen, Hongshen; Ren, Zhaochun; Feng, Yang; Liu, Qun; Yin, Dawei (2018)

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

Learning Tag Dependencies for Sequence Tagging. - Zhang, Yuan; Chen, Hongshen; Zhao, Yihong; Liu, Qun; Yin, Dawei (2018)

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

Deep reinforcement learning for page-wise recommendations. - Zhao, Xiangyu; Xia, Long; Zhang, Liang; Ding, Zhuoye; Yin, Dawei; Tang, Jiliang (2018)

Information Discovery in E-commerce: Half-day SIGIR 2018 Tutorial. - Ren, Zhaochun; He, Xiangnan; Yin, Dawei; Rijke, Maarten de (2018)

Multi-Dimensional Network Embedding with Hierarchical Structure. - Ma, Yao; Ren, Zhaochun; Jiang, Ziheng; Tang, Jiliang; Yin, Dawei (2018)

A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce. - Wang, Zihan; Jiang, Ziheng; Ren, Zhaochun; Tang, Jiliang; Yin, Dawei (2018)

Micro Behaviors: A New Perspective in E-commerce Recommender Systems. - Zhou, Meizi; Ding, Zhuoye; Tang, Jiliang; Yin, Dawei (2018)

Hierarchical Variational Memory Network for Dialogue Generation. - Chen, Hongshen; Ren, Zhaochun; Tang, Jiliang; Zhao, Yihong Eric; Yin, Dawei (2018)

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

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

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

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

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

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

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

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

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

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

Understanding and Predicting Weight Loss with Mobile Social Networking Data. - Wang, Zhiwei; Derr, Tyler; Yin, Dawei; Tang, Jiliang (2017)

Streaming Recommender Systems. - Chang, Shiyu; Zhang, Yang; Tang, Jiliang; Yin, Dawei; Chang, Yi; Hasegawa-Johnson, Mark A.; Huang, Thomas S. (2017)

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

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

Recommendation with Social Dimensions. - Tang, Jiliang; Wang, Suhang; Hu, Xia; Yin, Dawei; Bi, Yingzhou; Chang, Yi; Liu, Huan (2016)

Learning to Rewrite Queries. - He, Yunlong; Tang, Jiliang; Ouyang, Hua; Kang, Changsung; Yin, Dawei; Chang, Yi (2016)

Timeline Summarization from Social Media with Life Cycle Models. - Chang, Yi; Tang, Jiliang; Yin, Dawei; Yamada, Makoto; Liu, Yan (2016)

Ranking Relevance in Yahoo Search. - Yin, Dawei; Hu, Yuening; Tang, Jiliang; Daly, Tim, Jr.; Zhou, Mianwei; Ouyang, Hua; Chen, Jianhui; Kang, Changsung; Deng, Hongbo; Nobata, Chikashi; Langlois, Jean-Marc; Chang, Yi (2016)

Positive-Unlabeled Learning in Streaming Networks. - Chang, Shiyu; Zhang, Yang; Tang, Jiliang; Yin, Dawei; Chang, Yi; Hasegawa-Johnson, Mark A.; Huang, Thomas S. (2016)

Learning Query and Document Relevance from a Web-scale Click Graph. - Jiang, Shan; Hu, Yuening; Kang, Changsung; Daly, Tim, Jr.; Yin, Dawei; Chang, Yi; Zhai, ChengXiang (2016)

Leveraging User Interaction Signals for Web Image Search. - O'Hare, Neil; Juan, Paloma de; Schifanella, Rossano; He, Yunlong; Yin, Dawei; Chang, Yi (2016)

Beyond Ranking: Optimizing Whole-Page Presentation. - Wang, Yue; Yin, Dawei; Jie, Luo; Wang, Pengyuan; Yamada, Makoto; Chang, Yi; Mei, Qiaozhu (2016)

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

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

Causal Inference via Sparse Additive Models with Application to Online Advertising. - Sun, Wei; Wang, Pengyuan; Yin, Dawei; Yang, Jian; Chang, Yi (2015)

Consistent Collective Matrix Completion under Joint Low Rank Structure. - Gunasekar, Suriya; Yamada, Makoto; Yin, Dawei; Chang, Yi (2015)

Robust Tree-based Causal Inference for Complex Ad Effectiveness Analysis. - Wang, Pengyuan; Sun, Wei; Yin, Dawei; Yang, Jian; Chang, Yi (2015)

The 2nd workshop on Vertical Search Relevance at WSDM 2015. - Yin, Dawei; Hung, Chih-Chieh; Li, Rui; Chang, Yi (2015)

Rethink Targeting: Detect 'Smart Cheating' in Online Advertising through Causal Inference. - Wang, Pengyuan; Yin, Dawei; Yang, Jian; Chang, Yi; Meytlis, Marsha (2015)

What Size Should A Mobile Ad Be? - Wang, Pengyuan; Sun, Wei; Yin, Dawei (2015)

Recommendation in Academia: A joint multi-relational model. - Yang, Zaihan; Yin, Dawei; Davison, Brian D. (2014)

Exploiting contextual factors for click modeling in sponsored search. - Yin, Dawei; Mei, Shike; Cao, Bin; Sun, Jian-Tao; Davison, Brian D. (2014)

Estimating ad group performance in sponsored search. - Yin, Dawei; Cao, Bin; Sun, Jian-Tao; Davison, Brian D. (2014)

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

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

Convex Collective Matrix Factorization. - Bouchard, Guillaume; Yin, Dawei; Guo, Shengbo (2013)

Connecting comments and tags: improved modeling of social tagging systems. - Yin, Dawei; Guo, Shengbo; Chidlovskii, Boris; Davison, Brian D.; Archambeau, Cédric; Bouchard, Guillaume (2013)

Co-evolution of symptom-herb relationship. - Poon, Josiah; Yin, Dawei; Poon, Simon K.; Zhang, Runshun; Liu, Baoyan; Sze, Daniel Man-yuen (2012)

Normalizing Microtext. - Xue, Zhenzhen; Yin, Dawei; Davison, Brian D. (2011)

Temporal Dynamics of User Interests in Tagging Systems. - Yin, Dawei; Hong, Liangjie; Xue, Zhenzhen; Davison, Brian D. (2011)

Co-evolutionary genetic algorithm in symptom-herb relationship discovery. - Poon, Josiah; Yin, Dawei; Poon, Simon K.; Zhou, Xuezhong; Zhang, Runshun; Liu, Baoyan; Sze, Daniel Man-yuen (2011)

Structural link analysis and prediction in microblogs. - Yin, Dawei; Hong, Liangjie; Davison, Brian D. (2011)

Tracking trends: incorporating term volume into temporal topic models. - Hong, Liangjie; Yin, Dawei; Guo, Jian; Davison, Brian D. (2011)

Award prediction with temporal citation network analysis. - Yang, Zaihan; Yin, Dawei; Davison, Brian D. (2011)

Link formation analysis in microblogs. - Yin, Dawei; Hong, Liangjie; Xiong, Xiong; Davison, Brian D. (2011)

Exploiting session-like behaviors in tag prediction. - Yin, Dawei; Hong, Liangjie; Davison, Brian D. (2011)

Studying herb-herb interaction for insomnia through the theory of complementarities. - Poon, Josiah; Poon, Simon K.; Yin, Dawei; Chan, Kelvin; Loy, Clement; Zhou, Xuezhong; Zhang, Runshun; Liu, Baoyan; Kwan, Paul; Sze, Daniel Man-yuen; Gao, Junbin (2010)

Choosing your own adventure: automatic taxonomy generation to permit many paths. - Qi, Xiaoguang; Yin, Dawei; Xue, Zhenzhen; Davison, Brian D. (2010)

Safely selecting subsets of training data. - Yin, Dawei; An, Chang; Baird, Henry S. (2010)

Time and space optimization of document content classifiers. - Yin, Dawei; Baird, Henry S.; An, Chang (2010)

Document Segmentation Using Pixel-Accurate Ground Truth. - An, Chang; Yin, Dawei; Baird, Henry S. (2010)

Imbalance and Concentration in k-NN Classification. - Yin, Dawei; An, Chang; Baird, Henry S. (2010)

A probabilistic model for personalized tag prediction. - Yin, Dawei; Xue, Zhenzhen; Hong, Liangjie; Davison, Brian D. (2010)

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

Diversifying Search Results with Popular Subtopics. - Yin, Dawei; Xue, Zhenzhen; Qi, Xiaoguang; Davison, Brian D. (2009)