DOM based content extraction via text density. - Fei Sun 001; Dandan Song; Lejian Liao (SIGIR, 2011)

Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations. - Fei Sun 001; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Xueqi Cheng (ACL (1), 2015)

Component-Enhanced Chinese Character Embeddings. - Yanran Li; Wenjie Li 002; Fei Sun 001; Sujian Li (EMNLP, 2015)

A hybrid approach for content extraction with text density and visual importance of DOM nodes. - Dandan Song; Fei Sun 001; Lejian Liao (Knowl. Inf. Syst., 2015)

Inside Out: Two Jointly Predictive Models for Word Representations and Phrase Representations. - Fei Sun 001; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Xueqi Cheng (AAAI, 2016)

Sparse Word Embeddings Using ℓ1 Regularized Online Learning. - Fei Sun 001; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Xueqi Cheng (IJCAI, 2016)

Semantic Regularities in Document Representations. - Fei Sun 001; Jiafeng Guo; Yanyan Lan; Jun Xu 001; Xueqi Cheng (CoRR, 2016)

Multi-Source Pointer Network for Product Title Summarization. - Fei Sun 001; Peng Jiang 002; Hanxiao Sun; Changhua Pei; Wenwu Ou; Xiaobo Wang 002 (CIKM, 2018)

Modeling Consumer Buying Decision for Recommendation Based on Multi-Task Deep Learning. - Qiaolin Xia; Peng Jiang 002; Fei Sun 001; Yi Zhang 001; Xiaobo Wang 002; Zhifang Sui (CIKM, 2018)

Improving Multi-turn Dialogue Modelling with Utterance ReWriter. - Hui Su; Xiaoyu Shen 001; Rongzhi Zhang; Fei Sun 001; Pengwei Hu 001; Cheng Niu; Jie Zhou 016 (ACL (1), 2019)

SDM: Sequential Deep Matching Model for Online Large-scale Recommender System. - Fuyu Lv; Taiwei Jin; Changlong Yu; Fei Sun 001; Quan Lin; Keping Yang; Wilfred Ng (CIKM, 2019)

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer. - Fei Sun 001; Jun Liu; Jian Wu 032; Changhua Pei; Xiao Lin 002; Wenwu Ou; Peng Jiang 002 (CIKM, 2019)

Deep Session Interest Network for Click-Through Rate Prediction. - Yufei Feng; Fuyu Lv; Weichen Shen; Menghan Wang; Fei Sun 001; Yu Zhu 007; Keping Yang (IJCAI, 2019)

Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks. - Yun Wang 012; Lun Du; Guojie Song; Xiaojun Ma; Lichen Jin; Wei Lin; Fei Sun 001 (IJCAI, 2019)

POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion. - Wen Chen 026; Pipei Huang; Jiaming Xu; Xin Guo; Cheng Guo; Fei Sun 001; Chao Li; Andreas Pfadler; Huan Zhao; Binqiang Zhao (KDD, 2019)

Exact-K Recommendation via Maximal Clique Optimization. - Yu Gong; Yu Zhu 007; Lu Duan; Qingwen Liu 002; Ziyu Guan; Fei Sun 001; Wenwu Ou; Kenny Q. Zhu (KDD, 2019)

A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation. - Xiao Lin 002; Hongjie Chen; Changhua Pei; Fei Sun 001; Xuanji Xiao; Hanxiao Sun; Yongfeng Zhang; Wenwu Ou; Peng Jiang 002 (RecSys, 2019)

Compositional network embedding for link prediction. - Tianshu Lyu; Fei Sun 001; Peng Jiang 002; Wenwu Ou; Yan Zhang 004 (RecSys, 2019)

Personalized re-ranking for recommendation. - Changhua Pei; Yi Zhang 001; Yongfeng Zhang; Fei Sun 001; Xiao Lin 002; Hanxiao Sun; Jian Wu 032; Peng Jiang 002; Junfeng Ge; Wenwu Ou; Dan Pei (RecSys, 2019)

Value-aware Recommendation based on Reinforcement Profit Maximization. - Changhua Pei; Xinru Yang; Qing Cui; Xiao Lin 002; Fei Sun 001; Peng Jiang 002; Wenwu Ou; Yongfeng Zhang (WWW, 2019)

Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems. - Changhua Pei; Xinru Yang; Qing Cui; Xiao Lin 002; Fei Sun 001; Peng Jiang 002; Wenwu Ou; Yongfeng Zhang (CoRR, 2019)

Personalized Context-aware Re-ranking for E-commerce Recommender Systems. - Changhua Pei; Yi Zhang 001; Yongfeng Zhang; Fei Sun 001; Xiao Lin 002; Hanxiao Sun; Jian Wu 032; Peng Jiang 002; Wenwu Ou; Dan Pei (CoRR, 2019)

Compositional Network Embedding. - Tianshu Lyu; Fei Sun 001; Peng Jiang 002; Wenwu Ou; Yan Zhang 004 (CoRR, 2019)

Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization. - Min Yang 007; Chengming Li; Fei Sun 001; Zhou Zhao 001; Ying Shen 001; Chenglin Wu (AAAI, 2020)

Improving End-to-End Sequential Recommendations with Intent-aware Diversification. - Wanyu Chen; Pengjie Ren; Fei Cai; Fei Sun 001; Maarten de Rijke (CIKM, 2020)

MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction. - Yufei Feng; Fuyu Lv; Binbin Hu; Fei Sun 001; Kun Kuang; Yang Liu; Qingwen Liu 002; Wenwu Ou (CIKM, 2020)

Ranking Enhanced Dialogue Generation. - Changying Hao; Liang Pang; Yanyan Lan; Fei Sun 001; Jiafeng Guo; Xueqi Cheng (CIKM, 2020)

Intent Preference Decoupling for User Representation on Online Recommender System. - Zhaoyang Liu 003; Haokun Chen; Fei Sun 001; Xu Xie; Jinyang Gao; Bolin Ding; Yanyan Shen (IJCAI, 2020)

Privileged Features Distillation at Taobao Recommendations. - Chen Xu; Quan Li; Junfeng Ge; Jinyang Gao; Xiaoyong Yang; Changhua Pei; Fei Sun 001; Jian Wu 032; Hanxiao Sun; Wenwu Ou (KDD, 2020)

Node Conductance: A Scalable Node Centrality Measure on Big Networks. - Tianshu Lyu; Fei Sun 001; Yan Zhang 004 (PAKDD (2), 2020)

Learning Personalized Risk Preferences for Recommendation. - Yingqiang Ge; Shuyuan Xu; Shuchang Liu 001; Zuohui Fu; Fei Sun 001; Yongfeng Zhang (SIGIR, 2020)

Understanding Echo Chambers in E-commerce Recommender Systems. - Yingqiang Ge; Shuya Zhao; Honglu Zhou; Changhua Pei; Fei Sun 001; Wenwu Ou; Yongfeng Zhang (SIGIR, 2020)

NLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations. - Pengjie Ren; Zhaochun Ren; Fei Sun 001; Xiangnan He 001; Dawei Yin; Maarten de Rijke (WSDM, 2020)

Unclicked User Behaviors Enhanced Sequential Recommendation. - Fuyu Lv; Mengxue Li; Tonglei Guo; Changlong Yu; Fei Sun 001; Taiwei Jin; Keping Yang (CoRR, 2020)

Contrastive Pre-training for Sequential Recommendation. - Xu Xie; Fei Sun 001; Zhaoyang Liu 003; Jinyang Gao; Bolin Ding; Bin Cui 001 (CoRR, 2020)

Graph Neural Networks in Recommender Systems: A Survey. - Shiwen Wu; Wentao Zhang 001; Fei Sun 001; Bin Cui 001 (CoRR, 2020)

Report on the international workshop on natural language processing for recommendations (NLP4REC 2020) workshop held at WSDM 2020. - Xiao Huang 001; Pengjie Ren; Zhaochun Ren; Fei Sun 001; Xiangnan He 001; Dawei Yin; Maarten de Rijke (SIGIR Forum, 2020)

Graph-based Regularization on Embedding Layers for Recommendation. - Yuan Zhang 024; Fei Sun 001; Xiaoyong Yang; Chen Xu; Wenwu Ou; Yan Zhang 004 (ACM Trans. Inf. Syst., 2020)

CausCF: Causal Collaborative Filtering for Recommendation Effect Estimation. - Xu Xie; Zhaoyang Liu 003; Shiwen Wu; Fei Sun 001; Cihang Liu; Jiawei Chen 007; Jinyang Gao; Bin Cui 001; Bolin Ding (CIKM, 2021)

Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation. - Yuexiang Xie; Fei Sun 001; Yang Deng 002; Yaliang Li; Bolin Ding (EMNLP (Findings), 2021)

Explore User Neighborhood for Real-time E-commerce Recommendation. - Xu Xie; Fei Sun 001; Xiaoyong Yang; Zhao Yang; Jinyang Gao; Wenwu Ou; Bin Cui 001 (ICDE, 2021)

Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning. - Yang Deng 002; Yaliang Li; Fei Sun 001; Bolin Ding; Wai Lam (SIGIR, 2021)

Towards Long-term Fairness in Recommendation. - Yingqiang Ge; Shuchang Liu 001; Ruoyuan Gao; Yikun Xian; Yunqi Li 003; Xiangyu Zhao 001; Changhua Pei; Fei Sun 001; Junfeng Ge; Wenwu Ou; Yongfeng Zhang (WSDM, 2021)

Variation Control and Evaluation for Generative Slate Recommendations. - Shuchang Liu 001; Fei Sun 001; Yingqiang Ge; Changhua Pei; Yongfeng Zhang (WWW, 2021)

Revisit Recommender System in the Permutation Prospective. - Yufei Feng; Yu Gong; Fei Sun 001; Qingwen Liu 002; Wenwu Ou (CoRR, 2021)

Variation Control and Evaluation for Generative SlateRecommendations. - Shuchang Liu 001; Fei Sun 001; Yingqiang Ge; Changhua Pei; Yongfeng Zhang (CoRR, 2021)

GRN: Generative Rerank Network for Context-wise Recommendation. - Yufei Feng; Binbin Hu; Yu Gong; Fei Sun 001; Qingwen Liu 002; Wenwu Ou (CoRR, 2021)

CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation. - Xu Xie; Zhaoyang Liu 003; Shiwen Wu; Fei Sun 001; Cihang Liu; Jiawei Chen 007; Jinyang Gao; Bin Cui 001; Bolin Ding (CoRR, 2021)

Counterfactual Evaluation for Explainable AI. - Yingqiang Ge; Shuchang Liu 001; Zelong Li; Shuyuan Xu; Shijie Geng; Yunqi Li 003; Juntao Tan; Fei Sun 001; Yongfeng Zhang (CoRR, 2021)

XDM: Improving Sequential Deep Matching with Unclicked User Behaviors for Recommender System. - Fuyu Lv; Mengxue Li; Tonglei Guo; Changlong Yu; Fei Sun 001; Taiwei Jin; Wilfred Ng (DASFAA (3), 2022)

Contrastive Learning for Sequential Recommendation. - Xu Xie; Fei Sun 001; Zhaoyang Liu 003; Shiwen Wu; Jinyang Gao; Jiandong Zhang; Bolin Ding; Bin Cui 001 (ICDE, 2022)

Debiasing Learning for Membership Inference Attacks Against Recommender Systems. - Zihan Wang 002; Na Huang; Fei Sun 001; Pengjie Ren; Zhumin Chen; Hengliang Luo; Maarten de Rijke; Zhaochun Ren (KDD, 2022)

Recommendation Unlearning. - Chong Chen 001; Fei Sun 001; Min Zhang 006; Bolin Ding (WWW, 2022)

Proactively Control Privacy in Recommender Systems. - Ziqian Chen; Fei Sun 001; Yifan Tang; Haokun Chen; Jinyang Gao; Bolin Ding (CoRR, 2022)

LegoNet: A Fast and Exact Unlearning Architecture. - Sihao Yu; Fei Sun 001; Jiafeng Guo; Ruqing Zhang 001; Xueqi Cheng (CoRR, 2022)

Multi-interest Diversification for End-to-end Sequential Recommendation. - Wanyu Chen; Pengjie Ren; Fei Cai; Fei Sun 001; 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 001; Ruqing Zhang 001; Xueqi Cheng (ACM Trans. Inf. Syst., 2022)

ReFSQL: A Retrieval-Augmentation Framework for Text-to-SQL Generation. - Kun Zhang 041; Xiexiong Lin; Yuanzhuo Wang; Xin Zhang; Fei Sun 001; Jianhe Cen; Hexiang Tan; Xuhui Jiang; Huawei Shen (EMNLP (Findings), 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 001; Zixuan Li 001; Huawei Shen (CoRR, 2023)

A Large Language Model Enhanced Conversational Recommender System. - Yue Feng; Shuchang Liu 006; Zhenghai Xue; Qingpeng Cai 001; Lantao Hu; Peng Jiang 002; Kun Gai; Fei Sun 001 (CoRR, 2023)

Robust Recommender System: A Survey and Future Directions. - Kaike Zhang; Qi Cao; Fei Sun 001; Yunfan Wu; Shuchang Tao; Huawei Shen; Xueqi Cheng (CoRR, 2023)

Graph Neural Networks in Recommender Systems: A Survey. - Shiwen Wu; Fei Sun 001; Wentao Zhang 001; Xu Xie; Bin Cui 001 (ACM Comput. Surv., 2023)

Studying the Impact of Data Disclosure Mechanism in Recommender Systems via Simulation. - Ziqian Chen; Fei Sun 001; Yifan Tang; Haokun Chen; Jinyang Gao; Bolin Ding (ACM Trans. Inf. Syst., 2023)

Adversarial camouflage for node injection attack on graphs. - Shuchang Tao; Qi Cao; Huawei Shen; Yunfan Wu; Liang Hou; Fei Sun 001; Xueqi Cheng (Inf. Sci., 2023)

PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion. - Yige Yuan; Bingbing Xu 001; Bo Lin; Liang Hou; Fei Sun 001; Huawei Shen; Xueqi Cheng (AAAI, 2024)

Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts? - Hexiang Tan; Fei Sun 001; Wanli Yang; Yuanzhuo Wang; Qi Cao; Xueqi Cheng (ACL (1), 2024)

When to Trust LLMs: Aligning Confidence with Response Quality. - Shuchang Tao; Liuyi Yao; Hanxing Ding; Yuexiang Xie; Qi Cao; Fei Sun 001; Jinyang Gao; Huawei Shen; Bolin Ding (ACL (Findings), 2024)

The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse. - Wanli Yang; Fei Sun 001; Xinyu Ma; Xun Liu; Dawei Yin; Xueqi Cheng (ACL (Findings), 2024)

TEA: Test-Time Energy Adaptation. - Yige Yuan; Bingbing Xu 001; Liang Hou; Fei Sun 001; Huawei Shen; Xueqi Cheng (CVPR, 2024)

History Driven Sampling for Scalable Graph Neural Networks. - Yang Li 202; Bingbing Xu 001; Fei Sun 001; Qi Cao; Yige Yuan; Huawei Shen; Xueqi Cheng (DASFAA (6), 2024)

The Fall of ROME: Understanding the Collapse of LLMs in Model Editing. - Wanli Yang; Fei Sun 001; Jiajun Tan; Xinyu Ma; Du Su; Dawei Yin; Huawei Shen (EMNLP (Findings), 2024)

Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation. - Kaike Zhang; Qi Cao; Yunfan Wu; Fei Sun 001; Huawei Shen; Xueqi Cheng (NeurIPS, 2024)

MMGCL: Meta Knowledge-Enhanced Multi-view Graph Contrastive Learning for Recommendations. - Yuezihan Jiang; Changyu Li; Gaode Chen; Peiyi Li 008; Qi Zhang 010; Jingjian Lin; Peng Jiang 002; Fei Sun 001; Wentao Zhang 001 (RecSys, 2024)

Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems. - Yunfan Wu; Qi Cao; Shuchang Tao; Kaike Zhang; Fei Sun 001; Huawei Shen (RecSys, 2024)

Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System. - Kaike Zhang; Qi Cao; Yunfan Wu; Fei Sun 001; Huawei Shen; Xueqi Cheng (RecSys, 2024)

LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation. - Kaike Zhang; Qi Cao; Yunfan Wu; Fei Sun 001; Huawei Shen; Xueqi Cheng (SIGIR, 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 001; Fei Sun 001; Zixuan Li 001; Jian Guo; Huawei Shen (WWW, 2024)

Unlink to Unlearn: Simplifying Edge Unlearning in GNNs. - Jiajun Tan; Fei Sun 001; Ruichen Qiu; Du Su; Huawei Shen (WWW (Companion Volume), 2024)

Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts for Open-Domain QA? - Hexiang Tan; Fei Sun 001; 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 001; Huawei Shen; Xueqi Cheng (CoRR, 2024)

MITA: Bridging the Gap between Model and Data for Test-time Adaptation. - Yige Yuan; Bingbing Xu 001; Teng Xiao; Liang Hou; Fei Sun 001; Huawei Shen; Xueqi Cheng (CoRR, 2024)

KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks. - Quan Zhou; Changhua Pei; Fei Sun 001; Jing Han; Zhengwei Gao; Dan Pei; Haiming Zhang 002; Gaogang Xie; Jianhui Li (CoRR, 2024)

Fact-Level Confidence Calibration and Self-Correction. - Yige Yuan; Bingbing Xu 001; Hexiang Tan; Fei Sun 001; Teng Xiao; Wei Li 176; Huawei Shen; Xueqi Cheng (CoRR, 2024)

Low-Entropy Watermark Detection via Bayes' Rule Derived Detector. - Beining Huang; Du Su; Fei Sun 001; Qi Cao; Huawei Shen; Xueqi Cheng (ACL (Findings), 2025)

The Mirage of Model Editing: Revisiting Evaluation in the Wild. - Wanli Yang; Fei Sun 001; Jiajun Tan; Xinyu Ma; Qi Cao; Dawei Yin; Huawei Shen; Xueqi Cheng (ACL (1), 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 001 (NAACL (Findings), 2025)

Fact-Level Calibration and Correction for Long-Form Generations. - Yige Yuan; Bingbing Xu 001; Hexiang Tan; Fei Sun 001; Teng Xiao; Wei Li 176; Huawei Shen; Xueqi Cheng (SIGIR, 2025)

Personalized Denoising Implicit Feedback for Robust Recommender System. - Kaike Zhang; Qi Cao; Yunfan Wu; Fei Sun 001; Huawei Shen; Xueqi Cheng (WWW, 2025)

The 1st Workshop on Human-Centered Recommender Systems. - Kaike Zhang; Yunfan Wu; Yougang Lyu; Du Su; Yingqiang Ge; Shuchang Liu 001; Qi Cao; Zhaochun Ren; Fei Sun 001 (WWW (Companion Volume), 2025)

Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs. - Hexiang Tan; Fei Sun 001; Sha Liu; Du Su; Qi Cao; Xin Chen; Jingang Wang; Xunliang Cai; Yuanzhuo Wang; Huawei Shen; Xueqi Cheng (CoRR, 2025)

LLM4MEA: Data-free Model Extraction Attacks on Sequential Recommenders via Large Language Models. - Shilong Zhao; Fei Sun 001; Kaike Zhang; Shaoling Jing; Du Su; Zhichao Shi 001; Zhiyi Yin; Huawei Shen; Xueqi Cheng (CoRR, 2025)

A Survey on AgentOps: Categorization, Challenges, and Future Directions. - Zexin Wang; Jingjing Li; Quan Zhou; Haotian Si; Yuanhao Liu; Jianhui Li; Gaogang Xie; Fei Sun 001; Dan Pei; Changhua Pei (CoRR, 2025)

From Generation to Consumption: Personalized List Value Estimation for Re-ranking. - Kaike Zhang; Xiaobei Wang; Xiaoyu Yang; Shuchang Liu 001; Hailan Yang; Xiang Li; Fei Sun 001; Qi Cao (CoRR, 2025)