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

PRDetect: Perturbation-Robust LLM-generated Text Detection Based on Syntax Tree. - Li, Xiang; Yin, Zhiyi; Tan, Hexiang; Jing, Shaoling; Su, Du; Cheng, Yi; Shen, Huawei; Sun, Fei (2025)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets. - Jiang, Xuhui; Xu, Chengjin; Shen, Yinghan; Wang, Yuanzhuo; Su, Fenglong; Shi, Zhichao; Sun, Fei; Li, Zixuan; Guo, Jian; Shen, Huawei (2024)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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