Fei Sun

According to our database, Fei Sun authored at least 79 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

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

Unlink to Unlearn: Simplifying Edge Unlearning in GNNs.

Jiajun Tan, Fei Sun, Ruichen Qiu, Du Su, Huawei Shen

Proceedings of the Companion Proceedings of the ACM on Web Conference 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, 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, 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, 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, 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, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

History Driven Sampling for Scalable Graph Neural Networks.

Yang Li, Bingbing Xu, Fei Sun, Qi Cao, Yige Yuan, Huawei Shen, Xueqi Cheng

Proceedings of the Database Systems for Advanced Applications, 2024

TEA: Test-Time Energy Adaptation.

Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the Findings of the Association for Computational Linguistics, 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

Proceedings of the Findings of the Association for Computational Linguistics, 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), 2024

PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion.

Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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., November, 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

Graph Neural Networks in Recommender Systems: A Survey.

Shiwen Wu, Fei Sun, Wentao Zhang, Xu Xie, Bin Cui

ACM Comput. Surv., 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

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

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

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

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

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

LegoNet: A Fast and Exact Unlearning Architecture.

Sihao Yu, Fei Sun, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng

CoRR, 2022

Proactively Control Privacy in Recommender Systems.

Ziqian Chen, Fei Sun, Yifan Tang, Haokun Chen, Jinyang Gao, Bolin Ding

CoRR, 2022

Recommendation Unlearning.

Chong Chen, Fei Sun, Min Zhang, Bolin Ding

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 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

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Contrastive Learning for Sequential Recommendation.

Xu Xie, Fei Sun, Zhaoyang Liu, Shiwen Wu, Jinyang Gao, Jiandong Zhang, Bolin Ding, Bin Cui

Proceedings of the 38th IEEE International Conference on Data Engineering, 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

Proceedings of the Database Systems for Advanced Applications, 2022

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

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

GRN: Generative Rerank Network for Context-wise Recommendation.

Yufei Feng, Binbin Hu, 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

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 Slate Recommendations.

Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei, Yongfeng Zhang

Proceedings of the WWW '21: The Web Conference 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

Proceedings of the WSDM '21, 2021

Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning.

Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, Wai Lam

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Explore User Neighborhood for Real-time E-commerce Recommendation.

Xu Xie, Fei Sun, Xiaoyong Yang, Zhao Yang, Jinyang Gao, Wenwu Ou, Bin Cui

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation.

Yuexiang Xie, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

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

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

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

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 Neural Networks in Recommender Systems: A Survey.

Shiwen Wu, Wentao Zhang, Fei Sun, Bin Cui

CoRR, 2020

Contrastive Pre-training for Sequential Recommendation.

Xu Xie, Fei Sun, Zhaoyang Liu, Jinyang Gao, Bolin Ding, Bin Cui

CoRR, 2020

Unclicked User Behaviors Enhanced Sequential Recommendation.

Fuyu Lv, Mengxue Li, Tonglei Guo, Changlong Yu, Fei Sun, Taiwei Jin, Keping Yang

CoRR, 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

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 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, 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, 2020

Node Conductance: A Scalable Node Centrality Measure on Big Networks.

Tianshu Lyu, Fei Sun, Yan Zhang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 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

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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, 2020

Ranking Enhanced Dialogue Generation.

Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 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

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Improving End-to-End Sequential Recommendations with Intent-aware Diversification.

Wanyu Chen, Pengjie Ren, Fei Cai, Fei Sun, Maarten de Rijke

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Compositional Network Embedding.

Tianshu Lyu, Fei Sun, Peng Jiang, Wenwu Ou, Yan Zhang

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

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

Value-aware Recommendation based on Reinforcement Profit Maximization.

Changhua Pei, Xinru Yang, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang

Proceedings of the World Wide Web Conference, 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, 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, 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, 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, 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, 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, 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, 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, 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, 2019

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, 2019

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, 2018

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, 2018

2016

Semantic Regularities in Document Representations.

Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng

CoRR, 2016

Sparse Word Embeddings Using ℓ₁ Regularized Online Learning.

Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

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, 2016

2015

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

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, 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, 2015

2011

DOM based content extraction via text density.

Fei Sun, Dandan Song, Lejian Liao

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011