Low-Entropy Watermark Detection via Bayes' Rule Derived Detector - Beining Huang; Du Su; Fei Sun; Qi Cao; Huawei Shen; Xueqi Cheng (Findings of the Association for Computational Linguistics, ACL 2025, Vienna, Austria, July 27 - August 1, 2025, 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 (Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2025, Vienna, Austria, July 27 - August 1, 2025, 2025)

PRDetect: Perturbation-Robust LLM-generated Text Detection Based on Syntax Tree - Xiang Li; Zhiyi Yin; Hexiang Tan; Shaoling Jing; Du Su; Yi Cheng; Huawei Shen; Fei Sun (Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29 - May 4, 2025, 2025)

Fact-Level Calibration and Correction for Long-Form Generations - Yige Yuan; Bingbing Xu; Hexiang Tan; Fei Sun; Teng Xiao; Wei Li; Huawei Shen; Xueqi Cheng (Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025, 2025)

The 1st Workshop on Human-Centered Recommender Systems - Kaike Zhang; Yunfan Wu; Yougang Lyu; Du Su; Yingqiang Ge; Shuchang Liu; Qi Cao; Zhaochun Ren; Fei Sun (Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025, 2025)

Personalized Denoising Implicit Feedback for Robust Recommender System - Kaike Zhang; Qi Cao; Yunfan Wu; Fei Sun; Huawei Shen; Xueqi Cheng (Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025, 2025)

Personalized Denoising Implicit Feedback for Robust Recommender System - Kaike Zhang; Qi Cao; Yunfan Wu; Fei Sun; Huawei Shen; Xueqi Cheng (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)

Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs - Hexiang Tan; Fei Sun; Sha Liu; Du Su; Qi Cao; Xin Chen; Jingang Wang; Xunliang Cai; Yuanzhuo Wang; Huawei Shen; Xueqi Cheng (CoRR, 2025)

PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion - Yige Yuan; Bingbing Xu; Bo Lin; Liang Hou; Fei Sun; Huawei Shen; Xueqi Cheng (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 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)

When to Trust LLMs: Aligning Confidence with Response Quality - Shuchang Tao; Liuyi Yao; Hanxing Ding; Yuexiang Xie; Qi Cao; Fei Sun; Jinyang Gao; Huawei Shen; Bolin Ding (Findings of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, August 11-16, 2024, 2024)

Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts? - Hexiang Tan; Fei Sun; Wanli Yang; Yuanzhuo Wang; Qi Cao; Xueqi Cheng (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)

TEA: Test-Time Energy Adaptation - Yige Yuan; Bingbing Xu; Liang Hou; Fei Sun; Huawei Shen; Xueqi Cheng (IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 16-22, 2024, 2024)

History Driven Sampling for Scalable Graph Neural Networks - Yang Li; Bingbing Xu; Fei Sun; Qi Cao; Yige Yuan; Huawei Shen; Xueqi Cheng (Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Gifu, Japan, July 2-5, 2024, Proceedings, Part VI, 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)

Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation - Kaike Zhang; Qi Cao; Yunfan Wu; Fei Sun; Huawei Shen; Xueqi Cheng (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)

MMGCL: Meta Knowledge-Enhanced Multi-view Graph Contrastive Learning for Recommendations - Yuezihan Jiang; Changyu Li; Gaode Chen; Peiyi Li; Qi Zhang; Jingjian Lin; Peng Jiang; Fei Sun; Wentao Zhang (Proceedings of the 18th ACM Conference on Recommender Systems, RecSys 2024, Bari, Italy, October 14-18, 2024, 2024)

Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System - Kaike Zhang; Qi Cao; Yunfan Wu; Fei Sun; Huawei Shen; Xueqi Cheng (Proceedings of the 18th ACM Conference on Recommender Systems, RecSys 2024, Bari, Italy, October 14-18, 2024, 2024)

Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems - Yunfan Wu; Qi Cao; Shuchang Tao; Kaike Zhang; Fei Sun; Huawei Shen (Proceedings of the 18th ACM Conference on Recommender Systems, RecSys 2024, Bari, Italy, October 14-18, 2024, 2024)

LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation - Kaike Zhang; Qi Cao; Yunfan Wu; Fei Sun; Huawei Shen; Xueqi Cheng (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)

Unlink to Unlearn: Simplifying Edge Unlearning in GNNs - Jiajun Tan; Fei Sun; Ruichen Qiu; Du Su; Huawei Shen (Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024, 2024)

Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets - Xuhui Jiang; Chengjin Xu; Yinghan Shen; Yuanzhuo Wang; Fenglong Su; Zhichao Shi; Fei Sun; Zixuan Li; Jian Guo; Huawei Shen (Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024, 2024)

Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts for Open-Domain QA? - Hexiang Tan; Fei Sun; Wanli Yang; Yuanzhuo Wang; Qi Cao; Xueqi Cheng (CoRR, 2024)

LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks - Kaike Zhang; Qi Cao; Yunfan Wu; Fei Sun; Huawei Shen; Xueqi Cheng (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)

Unlink to Unlearn: Simplifying Edge Unlearning in GNNs - Jiajun Tan; Fei Sun; Ruichen Qiu; Du Su; Huawei Shen (CoRR, 2024)

When to Trust LLMs: Aligning Confidence with Response Quality - Shuchang Tao; Liuyi Yao; Hanxing Ding; Yuexiang Xie; Qi Cao; Fei Sun; Jinyang Gao; Huawei Shen; Bolin Ding (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)

Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems - Yunfan Wu; Qi Cao; Shuchang Tao; Kaike Zhang; Fei Sun; Huawei Shen (CoRR, 2024)

Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System - Kaike Zhang; Qi Cao; Yunfan Wu; Fei Sun; Huawei Shen; Xueqi Cheng (CoRR, 2024)

MITA: Bridging the Gap between Model and Data for Test-time Adaptation - Yige Yuan; Bingbing Xu; Teng Xiao; Liang Hou; Fei Sun; Huawei Shen; Xueqi Cheng (CoRR, 2024)

Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation - Kaike Zhang; Qi Cao; Yunfan Wu; Fei Sun; Huawei Shen; Xueqi Cheng (CoRR, 2024)

KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks - Quan Zhou; Changhua Pei; Fei Sun; Jing Han; Zhengwei Gao; Dan Pei; Haiming Zhang; Gaogang Xie; Jianhui Li (CoRR, 2024)

Fact-Level Confidence Calibration and Self-Correction - Yige Yuan; Bingbing Xu; Hexiang Tan; Fei Sun; Teng Xiao; Wei Li; Huawei Shen; Xueqi Cheng (CoRR, 2024)

The 1st Workshop on Human-Centered Recommender Systems - Kaike Zhang; Yunfan Wu; Yougang Lyu; Du Su; Yingqiang Ge; Shuchang Liu; Qi Cao; Zhaochun Ren; Fei Sun (CoRR, 2024)

Graph Neural Networks in Recommender Systems: A Survey - Shiwen Wu; Fei Sun; Wentao Zhang; Xu Xie; Bin Cui (ACM Comput. Surv., 2023)

Adversarial camouflage for node injection attack on graphs - Shuchang Tao; Qi Cao; Huawei Shen; Yunfan Wu; Liang Hou; Fei Sun; Xueqi Cheng (Inf. Sci., 2023)

Studying the Impact of Data Disclosure Mechanism in Recommender Systems via Simulation - Ziqian Chen; Fei Sun; Yifan Tang; Haokun Chen; Jinyang Gao; Bolin Ding (ACM Trans. Inf. Syst., 2023)

ReFSQL: A Retrieval-Augmentation Framework for Text-to-SQL Generation - Kun Zhang; Xiexiong Lin; Yuanzhuo Wang; Xin Zhang; Fei Sun; Jianhe Cen; Hexiang Tan; Xuhui Jiang; Huawei Shen (Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023, 2023)

Rethinking GNN-based Entity Alignment on Heterogeneous Knowledge Graphs: New Datasets and A New Method - Xuhui Jiang; Chengjin Xu; Yinghan Shen; Fenglong Su; Yuanzhuo Wang; Fei Sun; Zixuan Li; Huawei Shen (CoRR, 2023)

PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion - Yige Yuan; Bingbing Xu; Bo Lin; Liang Hou; Fei Sun; Huawei Shen; Xueqi Cheng (CoRR, 2023)

A Large Language Model Enhanced Conversational Recommender System - Yue Feng; Shuchang Liu; Zhenghai Xue; Qingpeng Cai; Lantao Hu; Peng Jiang; Kun Gai; Fei Sun (CoRR, 2023)

Robust Recommender System: A Survey and Future Directions - Kaike Zhang; Qi Cao; Fei Sun; Yunfan Wu; Shuchang Tao; Huawei Shen; Xueqi Cheng (CoRR, 2023)

TEA: Test-time Energy Adaptation - Yige Yuan; Bingbing Xu; Liang Hou; Fei Sun; Huawei Shen; Xueqi Cheng (CoRR, 2023)

Multi-interest Diversification for End-to-end Sequential Recommendation - Wanyu Chen; Pengjie Ren; Fei Cai; Fei Sun; Maarten de Rijke (ACM Trans. Inf. Syst., 2022)

Semantic Models for the First-Stage Retrieval: A Comprehensive Review - Jiafeng Guo; Yinqiong Cai; Yixing Fan; Fei Sun; Ruqing Zhang; Xueqi Cheng (ACM Trans. Inf. Syst., 2022)

XDM: Improving Sequential Deep Matching with Unclicked User Behaviors for Recommender System - Fuyu Lv; Mengxue Li; Tonglei Guo; Changlong Yu; Fei Sun; Taiwei Jin; Wilfred Ng (Database Systems for Advanced Applications - 27th International Conference, DASFAA 2022, Virtual Event, April 11-14, 2022, Proceedings, Part III, 2022)

Contrastive Learning for Sequential Recommendation - Xu Xie; Fei Sun; Zhaoyang Liu; Shiwen Wu; Jinyang Gao; Jiandong Zhang; Bolin Ding; Bin Cui (38th IEEE International Conference on Data Engineering, ICDE 2022, Kuala Lumpur, Malaysia, May 9-12, 2022, 2022)

Debiasing Learning for Membership Inference Attacks Against Recommender Systems - Zihan Wang; Na Huang; Fei Sun; Pengjie Ren; Zhumin Chen; Hengliang Luo; Maarten de Rijke; Zhaochun Ren (KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14 - 18, 2022, 2022)

Recommendation Unlearning - Chong Chen; Fei Sun; Min Zhang; Bolin Ding (WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022, 2022)

Recommendation Unlearning - Chong Chen; Fei Sun; Min Zhang; Bolin Ding (CoRR, 2022)

Proactively Control Privacy in Recommender Systems - Ziqian Chen; Fei Sun; Yifan Tang; Haokun Chen; Jinyang Gao; Bolin Ding (CoRR, 2022)

Debiasing Learning for Membership Inference Attacks Against Recommender Systems - Zihan Wang; Na Huang; Fei Sun; Pengjie Ren; Zhumin Chen; Hengliang Luo; Maarten de Rijke; Zhaochun Ren (CoRR, 2022)

LegoNet: A Fast and Exact Unlearning Architecture - Sihao Yu; Fei Sun; Jiafeng Guo; Ruqing Zhang; Xueqi Cheng (CoRR, 2022)

CausCF: Causal Collaborative Filtering for Recommendation Effect Estimation - Xu Xie; Zhaoyang Liu; Shiwen Wu; Fei Sun; Cihang Liu; Jiawei Chen; Jinyang Gao; Bin Cui; Bolin Ding (CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021, 2021)

Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation - Yuexiang Xie; Fei Sun; Yang Deng; Yaliang Li; Bolin Ding (Findings of the Association for Computational Linguistics: EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 16-20 November, 2021, 2021)

Explore User Neighborhood for Real-time E-commerce Recommendation - Xu Xie; Fei Sun; Xiaoyong Yang; Zhao Yang; Jinyang Gao; Wenwu Ou; Bin Cui (37th IEEE International Conference on Data Engineering, ICDE 2021, Chania, Greece, April 19-22, 2021, 2021)

Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning - Yang Deng; Yaliang Li; Fei Sun; Bolin Ding; Wai Lam (SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021, 2021)

Towards Long-term Fairness in Recommendation - Yingqiang Ge; Shuchang Liu; Ruoyuan Gao; Yikun Xian; Yunqi Li; Xiangyu Zhao; Changhua Pei; Fei Sun; Junfeng Ge; Wenwu Ou; Yongfeng Zhang (WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021, 2021)

Variation Control and Evaluation for Generative Slate Recommendations - Shuchang Liu; Fei Sun; Yingqiang Ge; Changhua Pei; Yongfeng Zhang (WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021, 2021)

Towards Long-term Fairness in Recommendation - Yingqiang Ge; Shuchang Liu; Ruoyuan Gao; Yikun Xian; Yunqi Li; Xiangyu Zhao; Changhua Pei; Fei Sun; Junfeng Ge; Wenwu Ou; Yongfeng Zhang (CoRR, 2021)

Revisit Recommender System in the Permutation Prospective - Yufei Feng; Yu Gong; Fei Sun; Qingwen Liu; Wenwu Ou (CoRR, 2021)

Variation Control and Evaluation for Generative SlateRecommendations - Shuchang Liu; Fei Sun; Yingqiang Ge; Changhua Pei; Yongfeng Zhang (CoRR, 2021)

Explore User Neighborhood for Real-time E-commerce Recommendation - Xu Xie; Fei Sun; Xiaoyong Yang; Zhao Yang; Jinyang Gao; Wenwu Ou; Bin Cui (CoRR, 2021)

Semantic Models for the First-stage Retrieval: A Comprehensive Review - Yinqiong Cai; Yixing Fan; Jiafeng Guo; Fei Sun; Ruqing Zhang; Xueqi Cheng (CoRR, 2021)

GRN: Generative Rerank Network for Context-wise Recommendation - Yufei Feng; Binbin Hu; Yu Gong; Fei Sun; Qingwen Liu; Wenwu Ou (CoRR, 2021)

Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning - Yang Deng; Yaliang Li; Fei Sun; Bolin Ding; Wai Lam (CoRR, 2021)

CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation - Xu Xie; Zhaoyang Liu; Shiwen Wu; Fei Sun; Cihang Liu; Jiawei Chen; Jinyang Gao; Bin Cui; Bolin Ding (CoRR, 2021)

Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation - Yuexiang Xie; Fei Sun; Yang Deng; Yaliang Li; Bolin Ding (CoRR, 2021)

Counterfactual Evaluation for Explainable AI - Yingqiang Ge; Shuchang Liu; Zelong Li; Shuyuan Xu; Shijie Geng; Yunqi Li; Juntao Tan; Fei Sun; Yongfeng Zhang (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)

Graph-based Regularization on Embedding Layers for Recommendation - Yuan Zhang; Fei Sun; Xiaoyong Yang; Chen Xu; Wenwu Ou; Yan Zhang (ACM Trans. Inf. Syst., 2020)

Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization - Min Yang; Chengming Li; Fei Sun; Zhou Zhao; Ying Shen; Chenglin Wu (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)

Improving End-to-End Sequential Recommendations with Intent-aware Diversification - Wanyu Chen; Pengjie Ren; Fei Cai; Fei Sun; Maarten de Rijke (CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020, 2020)

Ranking Enhanced Dialogue Generation - Changying Hao; Liang Pang; Yanyan Lan; Fei Sun; Jiafeng Guo; Xueqi Cheng (CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020, 2020)

MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction - Yufei Feng; Fuyu Lv; Binbin Hu; Fei Sun; Kun Kuang; Yang Liu; Qingwen Liu; Wenwu Ou (CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020, 2020)

Intent Preference Decoupling for User Representation on Online Recommender System - Zhaoyang Liu; Haokun Chen; Fei Sun; Xu Xie; Jinyang Gao; Bolin Ding; Yanyan Shen (Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020, 2020)

Privileged Features Distillation at Taobao Recommendations - Chen Xu; Quan Li; Junfeng Ge; Jinyang Gao; Xiaoyong Yang; Changhua Pei; Fei Sun; Jian Wu; Hanxiao Sun; Wenwu Ou (KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, 2020, 2020)

Node Conductance: A Scalable Node Centrality Measure on Big Networks - Tianshu Lyu; Fei Sun; Yan Zhang (Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings, Part II, 2020)

Learning Personalized Risk Preferences for Recommendation - Yingqiang Ge; Shuyuan Xu; Shuchang Liu; Zuohui Fu; Fei Sun; Yongfeng Zhang (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)

Understanding Echo Chambers in E-commerce Recommender Systems - Yingqiang Ge; Shuya Zhao; Honglu Zhou; Changhua Pei; Fei Sun; Wenwu Ou; Yongfeng Zhang (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)

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)

Understanding Echo Chambers in E-commerce Recommender Systems - Yingqiang Ge; Shuya Zhao; Honglu Zhou; Changhua Pei; Fei Sun; Wenwu Ou; Yongfeng Zhang (CoRR, 2020)

Learning Personalized Risk Preferences for Recommendation - Yingqiang Ge; Shuyuan Xu; Shuchang Liu; Zuohui Fu; Fei Sun; Yongfeng Zhang (CoRR, 2020)

Ranking Enhanced Dialogue Generation - Changying Hao; Liang Pang; Yanyan Lan; Fei Sun; Jiafeng Guo; Xueqi Cheng (CoRR, 2020)

MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction - Yufei Feng; Fuyu Lv; Binbin Hu; Fei Sun; Kun Kuang; Yang Liu; Qingwen Liu; Wenwu Ou (CoRR, 2020)

Unclicked User Behaviors Enhanced Sequential Recommendation - Fuyu Lv; Mengxue Li; Tonglei Guo; Changlong Yu; Fei Sun; Taiwei Jin; Keping Yang (CoRR, 2020)

Contrastive Pre-training for Sequential Recommendation - Xu Xie; Fei Sun; Zhaoyang Liu; Jinyang Gao; Bolin Ding; Bin Cui (CoRR, 2020)

Graph Neural Networks in Recommender Systems: A Survey - Shiwen Wu; Wentao Zhang; Fei Sun; Bin Cui (CoRR, 2020)

Improving Multi-turn Dialogue Modelling with Utterance ReWriter - Hui Su; Xiaoyu Shen; Rongzhi Zhang; Fei Sun; Pengwei Hu; Cheng Niu; Jie Zhou (Proceedings of the 57th Conference of the Association for Computational Linguistics, ACL 2019, Florence, Italy, July 28- August 2, 2019, Volume 1: Long Papers, 2019)

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer - Fei Sun; Jun Liu; Jian Wu; Changhua Pei; Xiao Lin; Wenwu Ou; Peng Jiang (Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019, 2019)

SDM: Sequential Deep Matching Model for Online Large-scale Recommender System - Fuyu Lv; Taiwei Jin; Changlong Yu; Fei Sun; Quan Lin; Keping Yang; Wilfred Ng (Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019, 2019)

Deep Session Interest Network for Click-Through Rate Prediction - Yufei Feng; Fuyu Lv; Weichen Shen; Menghan Wang; Fei Sun; Yu Zhu; Keping Yang (Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019, 2019)

Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks - Yun Wang; Lun Du; Guojie Song; Xiaojun Ma; Lichen Jin; Wei Lin; Fei Sun (Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019, 2019)

Exact-K Recommendation via Maximal Clique Optimization - Yu Gong; Yu Zhu; Lu Duan; Qingwen Liu; Ziyu Guan; Fei Sun; Wenwu Ou; Kenny Q. Zhu (Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019, 2019)

POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion - Wen Chen; Pipei Huang; Jiaming Xu; Xin Guo; Cheng Guo; Fei Sun; Chao Li; Andreas Pfadler; Huan Zhao; Binqiang Zhao (Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019, 2019)

Personalized re-ranking for recommendation - Changhua Pei; Yi Zhang; Yongfeng Zhang; Fei Sun; Xiao Lin; Hanxiao Sun; Jian Wu; Peng Jiang; Junfeng Ge; Wenwu Ou; Dan Pei (Proceedings of the 13th ACM Conference on Recommender Systems, RecSys 2019, Copenhagen, Denmark, September 16-20, 2019, 2019)

A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation - Xiao Lin; Hongjie Chen; Changhua Pei; Fei Sun; Xuanji Xiao; Hanxiao Sun; Yongfeng Zhang; Wenwu Ou; Peng Jiang (Proceedings of the 13th ACM Conference on Recommender Systems, RecSys 2019, Copenhagen, Denmark, September 16-20, 2019, 2019)

Compositional network embedding for link prediction - Tianshu Lyu; Fei Sun; Peng Jiang; Wenwu Ou; Yan Zhang (Proceedings of the 13th ACM Conference on Recommender Systems, RecSys 2019, Copenhagen, Denmark, September 16-20, 2019, 2019)

Value-aware Recommendation based on Reinforcement Profit Maximization - Changhua Pei; Xinru Yang; Qing Cui; Xiao Lin; Fei Sun; Peng Jiang; Wenwu Ou; Yongfeng Zhang (The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019, 2019)

Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems - Changhua Pei; Xinru Yang; Qing Cui; Xiao Lin; Fei Sun; Peng Jiang; Wenwu Ou; Yongfeng Zhang (CoRR, 2019)

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer - Fei Sun; Jun Liu; Jian Wu; Changhua Pei; Xiao Lin; Wenwu Ou; Peng Jiang (CoRR, 2019)

Personalized Context-aware Re-ranking for E-commerce Recommender Systems - Changhua Pei; Yi Zhang; Yongfeng Zhang; Fei Sun; Xiao Lin; Hanxiao Sun; Jian Wu; Peng Jiang; Wenwu Ou; Dan Pei (CoRR, 2019)

Compositional Network Embedding - Tianshu Lyu; Fei Sun; Peng Jiang; Wenwu Ou; Yan Zhang (CoRR, 2019)

POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion - Wen Chen; Pipei Huang; Jiaming Xu; Xin Guo; Cheng Guo; Fei Sun; Chao Li; Andreas Pfadler; Huan Zhao; Binqiang Zhao (CoRR, 2019)

Deep Session Interest Network for Click-Through Rate Prediction - Yufei Feng; Fuyu Lv; Weichen Shen; Menghan Wang; Fei Sun; Yu Zhu; Keping Yang (CoRR, 2019)

Exact-K Recommendation via Maximal Clique Optimization - Yu Gong; Yu Zhu; Lu Duan; Qingwen Liu; Ziyu Guan; Fei Sun; Wenwu Ou; Kenny Q. Zhu (CoRR, 2019)

Improving Multi-turn Dialogue Modelling with Utterance ReWriter - Hui Su; Xiaoyu Shen; Rongzhi Zhang; Fei Sun; Pengwei Hu; Cheng Niu; Jie Zhou (CoRR, 2019)

SDM: Sequential Deep Matching Model for Online Large-scale Recommender System - Fuyu Lv; Taiwei Jin; Changlong Yu; Fei Sun; Quan Lin; Keping Yang; Wilfred Ng (CoRR, 2019)

Multi-Source Pointer Network for Product Title Summarization - Fei Sun; Peng Jiang; Hanxiao Sun; Changhua Pei; Wenwu Ou; Xiaobo Wang (Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018, 2018)

Modeling Consumer Buying Decision for Recommendation Based on Multi-Task Deep Learning - Qiaolin Xia; Peng Jiang; Fei Sun; Yi Zhang; Xiaobo Wang; Zhifang Sui (Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018, 2018)

Multi-Source Pointer Network for Product Title Summarization - Fei Sun; Peng Jiang; Hanxiao Sun; Changhua Pei; Wenwu Ou; Xiaobo Wang (CoRR, 2018)

Inside Out: Two Jointly Predictive Models for Word Representations and Phrase Representations - Fei Sun; Jiafeng Guo; Yanyan Lan; Jun Xu; Xueqi Cheng (Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA, 2016)

Sparse Word Embeddings Using \(l\)\(_1\) Regularized Online Learning - Fei Sun; Jiafeng Guo; Yanyan Lan; Jun Xu; Xueqi Cheng (Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI 2016, New York, NY, USA, 9-15 July 2016, 2016)

Semantic Regularities in Document Representations - Fei Sun; Jiafeng Guo; Yanyan Lan; Jun Xu; Xueqi Cheng (CoRR, 2016)

A hybrid approach for content extraction with text density and visual importance of DOM nodes - Dandan Song; Fei Sun; Lejian Liao (Knowl. Inf. Syst., 2015)

Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations - Fei Sun; Jiafeng Guo; Yanyan Lan; Jun Xu; Xueqi Cheng (Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL 2015, July 26-31, 2015, Beijing, China, Volume 1: Long Papers, 2015)

Component-Enhanced Chinese Character Embeddings - Yanran Li; Wenjie Li; Fei Sun; Sujian Li (Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015, Lisbon, Portugal, September 17-21, 2015, 2015)

Component-Enhanced Chinese Character Embeddings - Yanran Li; Wenjie Li; Fei Sun; Sujian Li (CoRR, 2015)

DOM based content extraction via text density - Fei Sun; Dandan Song; Lejian Liao (Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2011, Beijing, China, July 25-29, 2011, 2011)