Long-Term Active Integrator Prediction in the Evaluation of Code Contributions. - Jing Jiang 005; Fuli Feng; Xiaoli Lian; Li Zhang 029 (SEKE, 2016)

Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution. - Guangyao Shen; Jia Jia 001; Liqiang Nie; Fuli Feng; Cunjun Zhang; Tianrui Hu; Tat-Seng Chua; Wenwu Zhu 001 (IJCAI, 2017)

NeuroStylist: Neural Compatibility Modeling for Clothing Matching. - Xuemeng Song; Fuli Feng; Jinhuan Liu; Zekun Li 001; Liqiang Nie; Jun Ma 001 (ACM Multimedia, 2017)

Computational Social Indicators: A Case Study of Chinese University Ranking. - Fuli Feng; Liqiang Nie; Xiang Wang 010; Richang Hong; Tat-Seng Chua (SIGIR, 2017)

Understanding inactive yet available assignees in GitHub. - Jing Jiang 005; David Lo 001; Xinyu Ma; Fuli Feng; Li Zhang 029 (Inf. Softw. Technol., 2017)

Discrete Factorization Machines for Fast Feature-based Recommendation. - Han Liu; Xiangnan He 001; Fuli Feng; Liqiang Nie; Rui Liu 019; Hanwang Zhang (IJCAI, 2018)

Cross-Domain Depression Detection via Harvesting Social Media. - Tiancheng Shen; Jia Jia 001; Guangyao Shen; Fuli Feng; Xiangnan He 001; Huanbo Luan; Jie Tang 001; Thanassis Tiropanis; Tat-Seng Chua; Wendy Hall 001 (IJCAI, 2018)

Quality Matters: Assessing cQA Pair Quality via Transductive Multi-View Learning. - Xiaochi Wei; Heyan Huang; Liqiang Nie; Fuli Feng; Richang Hong; Tat-Seng Chua (IJCAI, 2018)

Deep Understanding of Cooking Procedure for Cross-modal Recipe Retrieval. - Jingjing Chen 001; Chong-Wah Ngo; Fuli Feng; Tat-Seng Chua (ACM Multimedia, 2018)

Neural Compatibility Modeling with Attentive Knowledge Distillation. - Xuemeng Song; Fuli Feng; Xianjing Han; Xin Yang 008; Wei Liu 005; Liqiang Nie (SIGIR, 2018)

An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data. - Jingtao Ding; Fuli Feng; Xiangnan He 001; Guanghui Yu; Yong Li 008; Depeng Jin (WWW (Companion Volume), 2018)

Learning on Partial-Order Hypergraphs. - Fuli Feng; Xiangnan He 001; Yiqun Liu 001; Liqiang Nie; Tat-Seng Chua (WWW, 2018)

TEM: Tree-enhanced Embedding Model for Explainable Recommendation. - Xiang Wang 010; Xiangnan He 001; Fuli Feng; Liqiang Nie; Tat-Seng Chua (WWW, 2018)

Learning Recommender Systems from Multi-Behavior Data. - Chen Gao 001; Xiangnan He 001; Dahua Gan; Xiangning Chen; Fuli Feng; Yong Li 008; Tat-Seng Chua; Depeng Jin (CoRR, 2018)

Visually-aware Collaborative Food Recommendation. - Xiaoyan Gao; Fuli Feng; Xiangnan He 001; Heyan Huang; Xinyu Guan; Chong Feng 001; Zhaoyan Ming; Tat-Seng Chua (CoRR, 2018)

Improving Stock Movement Prediction with Adversarial Training. - Fuli Feng; Huimin Chen; Xiangnan He 001; Ji Ding 005; Maosong Sun 001; Tat-Seng Chua (CoRR, 2018)

Explicit Interaction Model towards Text Classification. - Cunxiao Du; Zhaozheng Chen; Fuli Feng; Lei Zhu 002; Tian Gan; Liqiang Nie (AAAI, 2019)

Neural Multi-task Recommendation from Multi-behavior Data. - Chen Gao 001; Xiangnan He 001; Dahua Gan; Xiangning Chen; Fuli Feng; Yong Li 008; Tat-Seng Chua; Depeng Jin (ICDE, 2019)

Enhancing Stock Movement Prediction with Adversarial Training. - Fuli Feng; Huimin Chen; Xiangnan He 001; Ji Ding 005; Maosong Sun 001; Tat-Seng Chua (IJCAI, 2019)

Personalized Capsule Wardrobe Creation with Garment and User Modeling. - Xue Dong; Xuemeng Song; Fuli Feng; Peiguang Jing; Xin-Shun Xu; Liqiang Nie (ACM Multimedia, 2019)

Supervised Hierarchical Cross-Modal Hashing. - Changchang Sun; Xuemeng Song; Fuli Feng; Wayne Xin Zhao; Hao Zhang; Liqiang Nie (SIGIR, 2019)

Neural Graph Collaborative Filtering. - Xiang Wang 010; Xiangnan He 001; Meng Wang 001; Fuli Feng; Tat-Seng Chua (SIGIR, 2019)

Interpretable Fashion Matching with Rich Attributes. - Xun Yang 001; Xiangnan He 001; Xiang Wang 010; Yunshan Ma; Fuli Feng; Meng Wang 001; Tat-Seng Chua (SIGIR, 2019)

Cross-domain Recommendation Without Sharing User-relevant Data. - Chen Gao 001; Xiangning Chen; Fuli Feng; Kai Zhao; Xiangnan He 001; Yong Li 008; Depeng Jin (WWW, 2019)

Temporal Relational Ranking for Stock Prediction. - Fuli Feng; Xiangnan He 001; Xiang Wang 010; Cheng Luo 001; Yiqun Liu 001; Tat-Seng Chua (ACM Trans. Inf. Syst., 2019)

Solving Sequential Text Classification as Board-Game Playing. - Chen Qian 003; Fuli Feng; Lijie Wen 001; Zhenpeng Chen; Li Lin 011; Yanan Zheng; Tat-Seng Chua (AAAI, 2020)

Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning. - Tianxin Wei; Ziwei Wu; Ruirui Li 002; Ziniu Hu; Fuli Feng; Xiangnan He 001; Yizhou Sun; Wei Wang 010 (ICDM, 2020)

Bilinear Graph Neural Network with Neighbor Interactions. - Hongmin Zhu; Fuli Feng; Xiangnan He 001; Xiang Wang 010; Yan Li 068; Kai Zheng 001; Yongdong Zhang 001 (IJCAI, 2020)

Heterogeneous Fusion of Semantic and Collaborative Information for Visually-Aware Food Recommendation. - Lei Meng 001; Fuli Feng; Xiangnan He 001; Xiaoyan Gao; Tat-Seng Chua (ACM Multimedia, 2020)

Enhancing Text Classification via Discovering Additional Semantic Clues from Logograms. - Chen Qian 003; Fuli Feng; Lijie Wen 001; Li Lin 011; Tat-Seng Chua (SIGIR, 2020)

FinIR 2020: The First Workshop on Information Retrieval in Finance. - Fuli Feng; Cheng Luo 001; Xiangnan He 001; Yiqun Liu 001; Tat-Seng Chua (SIGIR, 2020)

How to Retrain Recommender System?: A Sequential Meta-Learning Method. - Yang Zhang 072; Fuli Feng; Chenxu Wang; Xiangnan He 001; Meng Wang 001; Yan Li 068; Yongdong Zhang 001 (SIGIR, 2020)

Bilinear Graph Neural Network with Node Interactions. - Hongmin Zhu; Fuli Feng; Xiangnan He 001; Xiang Wang 010; Yan Li 068; Kai Zheng 001; Yongdong Zhang 001 (CoRR, 2020)

Cross-GCN: Enhancing Graph Convolutional Network with k-Order Feature Interactions. - Fuli Feng; Xiangnan He 001; Hanwang Zhang; Tat-Seng Chua (CoRR, 2020)

Data Augmentation View on Graph Convolutional Network and the Proposal of Monte Carlo Graph Learning. - Hande Dong; Zhaolin Ding; Xiangnan He 001; Fuli Feng; Shuxian Bi (CoRR, 2020)

"Click" Is Not Equal to "Like": Counterfactual Recommendation for Mitigating Clickbait Issue. - Wenjie Wang 007; Fuli Feng; Xiangnan He 001; Hanwang Zhang; Tat-Seng Chua (CoRR, 2020)

Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method. - Fuli Feng; Weiran Huang 002; Xin Xin 003; Xiangnan He 001; Tat-Seng Chua (CoRR, 2020)

Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System. - Tianxin Wei; Fuli Feng; Jiawei Chen 007; Chufeng Shi; Ziwei Wu; Jinfeng Yi; Xiangnan He 001 (CoRR, 2020)

Hierarchical Attention Network for Visually-Aware Food Recommendation. - Xiaoyan Gao; Fuli Feng; Xiangnan He 001; Heyan Huang; Xinyu Guan; Chong Feng 001; Zhaoyan Ming; Tat-Seng Chua (IEEE Trans. Multim., 2020)

Large-Scale Question Tagging via Joint Question-Topic Embedding Learning. - Liqiang Nie; Yongqi Li 001; Fuli Feng; Xuemeng Song; Meng Wang 001; Yinglong Wang 001 (ACM Trans. Inf. Syst., 2020)

Conceptualized and Contextualized Gaussian Embedding. - Chen Qian 003; Fuli Feng; Lijie Wen 001; Tat-Seng Chua (AAAI, 2021)

Counterfactual Inference for Text Classification Debiasing. - Chen Qian 003; Fuli Feng; Lijie Wen 001; Chunping Ma; Pengjun Xie (ACL/IJCNLP (1), 2021)

Empowering Language Understanding with Counterfactual Reasoning. - Fuli Feng; Jizhi Zhang; Xiangnan He 001; Hanwang Zhang; Tat-Seng Chua (ACL/IJCNLP (Findings), 2021)

TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance. - Fengbin Zhu; Wenqiang Lei; Youcheng Huang; Chao Wang 049; Shuo Zhang 006; Jiancheng Lv 001; Fuli Feng; Tat-Seng Chua (ACL/IJCNLP (1), 2021)

Learning to Learn the Future: Modeling Concept Drifts in Time Series Prediction. - Xiaoyu You; Mi Zhang 001; Daizong Ding; Fuli Feng; Yuanmin Huang 001 (CIKM, 2021)

Pre-training and evaluation of numeracy-oriented language model. - Fuli Feng; Xilin Rui; Wenjie Wang 007; Yixin Cao 002; Tat-Seng Chua (ICAIF, 2021)

Time horizon-aware modeling of financial texts for stock price prediction. - Fuli Feng; Xiang Wang 010; Xiangnan He 001; Ritchie Ng; Tat-Seng Chua (ICAIF, 2021)

Deconfounded Recommendation for Alleviating Bias Amplification. - Wenjie Wang 007; Fuli Feng; Xiangnan He 001; Xiang Wang 010; Tat-Seng Chua (KDD, 2021)

Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System. - Tianxin Wei; Fuli Feng; Jiawei Chen 007; Ziwei Wu; Jinfeng Yi; Xiangnan He 001 (KDD, 2021)

Bias Issues and Solutions in Recommender System: Tutorial on the RecSys 2021. - Jiawei Chen 007; Xiang Wang 010; Fuli Feng; Xiangnan He 001 (RecSys, 2021)

Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method. - Fuli Feng; Weiran Huang 002; Xiangnan He 001; Xin Xin 003; Qifan Wang 001; Tat-Seng Chua (SIGIR, 2021)

Hybrid Learning to Rank for Financial Event Ranking. - Fuli Feng; Moxin Li; Cheng Luo 001; Ritchie Ng; Tat-Seng Chua (SIGIR, 2021)

Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue. - Wenjie Wang 007; Fuli Feng; Xiangnan He 001; Hanwang Zhang; Tat-Seng Chua (SIGIR, 2021)

Self-supervised Graph Learning for Recommendation. - Jiancan Wu; Xiang Wang 010; Fuli Feng; Xiangnan He 001; Liang Chen 001; Jianxun Lian; Xing Xie 001 (SIGIR, 2021)

Deconfounded Video Moment Retrieval with Causal Intervention. - Xun Yang 001; Fuli Feng; Wei Ji 008; Meng Wang 001; Tat-Seng Chua (SIGIR, 2021)

Causal Intervention for Leveraging Popularity Bias in Recommendation. - Yang Zhang 072; Fuli Feng; Xiangnan He 001; Tianxin Wei; Chonggang Song; Guohui Ling; Yongdong Zhang 001 (SIGIR, 2021)

Denoising Implicit Feedback for Recommendation. - Wenjie Wang 007; Fuli Feng; Xiangnan He 001; Liqiang Nie; Tat-Seng Chua (WSDM, 2021)

On the Equivalence of Decoupled Graph Convolution Network and Label Propagation. - Hande Dong; Jiawei Chen 007; Fuli Feng; Xiangnan He 001; Shuxian Bi; Zhaolin Ding; Peng Cui 001 (WWW, 2021)

Structure-enhanced meta-learning for few-shot graph classification. - Shunyu Jiang; Fuli Feng; Weijian Chen 001; Xiang Li 067; Xiangnan He 001 (AI Open, 2021)

Probabilistic and Variational Recommendation Denoising. - Yu Wang; Xin Xin 003; Zaiqiao Meng; Xiangnan He 001; Joemon M. Jose; Fuli Feng (CoRR, 2021)

Learning Robust Recommender from Noisy Implicit Feedback. - Wenjie Wang 007; Fuli Feng; Xiangnan He 001; Liqiang Nie; Tat-Seng Chua (CoRR, 2021)

Sampler Design for Bayesian Personalized Ranking by Leveraging View Data. - Jingtao Ding; Guanghui Yu; Xiangnan He 001; Fuli Feng; Yong Li 008; Depeng Jin (IEEE Trans. Knowl. Data Eng., 2021)

Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure. - Fuli Feng; Xiangnan He 001; Jie Tang 001; Tat-Seng Chua (IEEE Trans. Knowl. Data Eng., 2021)

Learning to Recommend With Multiple Cascading Behaviors. - Chen Gao 001; Xiangnan He 001; Dahua Gan; Xiangning Chen; Fuli Feng; Yong Li 008; Tat-Seng Chua; Lina Yao 001; Yang Song 001; Depeng Jin (IEEE Trans. Knowl. Data Eng., 2021)

Urban Perception: Sensing Cities via a Deep Interactive Multi-task Learning Framework. - Weili Guan; Zhaozheng Chen; Fuli Feng; Weifeng Liu 001; Liqiang Nie (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Attribute-wise Explainable Fashion Compatibility Modeling. - Xin Yang 008; Xuemeng Song; Fuli Feng; Haokun Wen; Ling-Yu Duan; Liqiang Nie (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning. - Moxin Li; Fuli Feng; Hanwang Zhang; Xiangnan He 001; Fengbin Zhu; Tat-Seng Chua (ACL (1), 2022)

Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation. - Qifan Wang 001; Li Yang; Xiaojun Quan; Fuli Feng; Dongfang Liu; Zenglin Xu; Sinong Wang; Hao Ma 001 (EMNLP, 2022)

Towards Backdoor Attack on Deep Learning based Time Series Classification. - Daizong Ding; Mi Zhang 001; Yuanmin Huang 001; Xudong Pan; Fuli Feng; Erling Jiang; Min Yang 002 (ICDE, 2022)

Dynamic Hypergraph Convolutional Network. - Nan Yin; Fuli Feng; Zhigang Luo; Xiang Zhang 008; Wenjie Wang 007; Xiao Luo 001; Chong Chen 002; Xian-Sheng Hua 001 (ICDE, 2022)

Copy Motion From One to Another: Fake Motion Video Generation. - Zhenguang Liu; Sifan Wu 001; Chejian Xu; Xiang Wang 010; Lei Zhu 002; Shuang Wu 002; Fuli Feng (IJCAI, 2022)

GL-RG: Global-Local Representation Granularity for Video Captioning. - Liqi Yan; Qifan Wang 001; Yiming Cui 002; Fuli Feng; Xiaojun Quan; Xiangyu Zhang 001; Dongfang Liu (IJCAI, 2022)

Addressing Unmeasured Confounder for Recommendation with Sensitivity Analysis. - Sihao Ding 003; Peng Wu 012; Fuli Feng; Yitong Wang; Xiangnan He 001; Yong Liao; Yongdong Zhang 001 (KDD, 2022)

UD-GNN: Uncertainty-aware Debiased Training on Semi-Homophilous Graphs. - Yang Liu 200; Xiang Ao 001; Fuli Feng; Qing He 003 (KDD, 2022)

Invariant Representation Learning for Multimedia Recommendation. - Xiaoyu Du 002; Zike Wu; Fuli Feng; Xiangnan He 001; Jinhui Tang 001 (ACM Multimedia, 2022)

Towards Complex Document Understanding By Discrete Reasoning. - Fengbin Zhu; Wenqiang Lei; Fuli Feng; Chao Wang 049; Haozhou Zhang; Tat-Seng Chua (ACM Multimedia, 2022)

Interpolative Distillation for Unifying Biased and Debiased Recommendation. - Sihao Ding 003; Fuli Feng; Xiangnan He 001; Jinqiu Jin; Wenjie Wang 007; Yong Liao; Yongdong Zhang 001 (SIGIR, 2022)

User-controllable Recommendation Against Filter Bubbles. - Wenjie Wang 007; Fuli Feng; Liqiang Nie; Tat-Seng Chua (SIGIR, 2022)

Structured and Natural Responses Co-generation for Conversational Search. - Chenchen Ye 001; Lizi Liao; Fuli Feng; Wei Ji 008; Tat-Seng Chua (SIGIR, 2022)

Accepted Tutorials at The Web Conference 2022. - Riccardo Tommasini 001; Senjuti Basu Roy; Xuan Wang 008; Hongwei Wang; Heng Ji 001; Jiawei Han 001; Preslav Nakov; Giovanni Da San Martino; Firoj Alam; Markus Schedl; Elisabeth Lex; Akash Bharadwaj; et al. (WWW (Companion Volume), 2022)

WebFormer: The Web-page Transformer for Structure Information Extraction. - Qifan Wang 001; Yi Fang 008; Anirudh Ravula; Fuli Feng; Xiaojun Quan; Dongfang Liu (WWW, 2022)

Causal Representation Learning for Out-of-Distribution Recommendation. - Wenjie Wang 007; Xinyu Lin 001; Fuli Feng; Xiangnan He 001; Min Lin; Tat-Seng Chua (WWW, 2022)

Learning Robust Recommenders through Cross-Model Agreement. - Yu Wang; Xin Xin 003; Zaiqiao Meng; Joemon M. Jose; Fuli Feng; Xiangnan He 001 (WWW, 2022)

Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation. - Shengyu Zhang 001; Lingxiao Yang; Dong Yao; Yujie Lu; Fuli Feng; Zhou Zhao 001; Tat-Seng Chua; Fei Wu 001 (WWW, 2022)

Training Free Graph Neural Networks for Graph Matching. - Zhiyuan Liu 001; Yixin Cao 002; Fuli Feng; Xiang Wang 010; Xindi Shang; Jie Tang 001; Kenji Kawaguchi; Tat-Seng Chua (CoRR, 2022)

Deconfounding to Explanation Evaluation in Graph Neural Networks. - Ying-Xin Wu 002; Xiang Wang 010; An Zhang 003; Xia Hu 001; Fuli Feng; Xiangnan He 001; Tat-Seng Chua (CoRR, 2022)

Graph Neural Network with Curriculum Learning for Imbalanced Node Classification. - Xiaohe Li; Lijie Wen 001; Yawen Deng; Fuli Feng; Xuming Hu; Lei Wang 077; Zide Fan (CoRR, 2022)

Explainable Sparse Knowledge Graph Completion via High-order Graph Reasoning Network. - Weijian Chen 001; Yixin Cao 002; Fuli Feng; Xiangnan He 001; Yongdong Zhang 001 (CoRR, 2022)

CCL4Rec: Contrast over Contrastive Learning for Micro-video Recommendation. - Shengyu Zhang 001; Bofang Li; Dong Yao; Fuli Feng; Jieming Zhu; Wenyan Fan; Zhou Zhao 001; Xiaofei He 001; Tat-Seng Chua; Fei Wu 001 (CoRR, 2022)

Causal Intervention for Fairness in Multi-behavior Recommendation. - Xi Wang; Wenjie Wang 007; Fuli Feng; Wenge Rong; Chuantao Yin (CoRR, 2022)

MC-Net: Learning mutually-complementary features for image manipulation localization. - Dengyun Xu; Xuanjing Shen; Yingda Lyu; Xiaoyu Du 002; Fuli Feng (Int. J. Intell. Syst., 2022)

Food recommendation with graph convolutional network. - Xiaoyan Gao; Fuli Feng; Heyan Huang; Xian-Ling Mao; Tian Lan 003; Zewen Chi (Inf. Sci., 2022)

Cross-domain Recommendation with Bridge-Item Embeddings. - Chen Gao 001; Yong Li 008; Fuli Feng; Xiangning Chen; Kai Zhao; Xiangnan He 001; Depeng Jin (ACM Trans. Knowl. Discov. Data, 2022)

Response Generation by Jointly Modeling Personalized Linguistic Styles and Emotions. - Teng Sun; Chun Wang; Xuemeng Song; Fuli Feng; Liqiang Nie (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Video-Audio Domain Generalization via Confounder Disentanglement. - Shengyu Zhang 001; Xusheng Feng; Wenyan Fan; Wenjing Fang; Fuli Feng; Wei Ji 008; Shuo Li; Li Wang 056; Shanshan Zhao 001; Zhou Zhao 001; Tat-Seng Chua; Fei Wu 001 (AAAI, 2023)

Black-Box Adversarial Attack on Time Series Classification. - Daizong Ding; Mi Zhang 001; Fuli Feng; Yuanmin Huang 001; Erling Jiang; Min Yang 002 (AAAI, 2023)

Counterfactual Active Learning for Out-of-Distribution Generalization. - Xun Deng; Wenjie Wang 007; Fuli Feng; Hanwang Zhang; Xiangnan He 001; Yong Liao (ACL (1), 2023)

Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context. - Moxin Li; Wenjie Wang 007; Fuli Feng; Hanwang Zhang; Qifan Wang 001; Tat-Seng Chua (ACL (Findings), 2023)

MUSTIE: Multimodal Structural Transformer for Web Information Extraction. - Qifan Wang 001; Jingang Wang; Xiaojun Quan; Fuli Feng; Zenglin Xu; Shaoliang Nie; Sinong Wang; Madian Khabsa; Hamed Firooz; Dongfang Liu (ACL (1), 2023)

MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction. - Li Yang; Qifan Wang 001; Jingang Wang; Xiaojun Quan; Fuli Feng; Yu Chen 022; Madian Khabsa; Sinong Wang; Zenglin Xu; Dongfang Liu (ACL (Findings), 2023)

The 1st Workshop on Recommendation with Generative Models. - Wenjie Wang 007; Yong Liu 020; Yang Zhang 072; Weiwen Liu; Fuli Feng; Xiangnan He 001; Aixin Sun (CIKM, 2023)

Leveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework. - Yang Zhang 072; Yimeng Bai; Jianxin Chang; Xiaoxue Zang; Song Lu 003; Jing Lu; Fuli Feng; Yanan Niu; Yang Song 008 (CIKM, 2023)

Attack Prompt Generation for Red Teaming and Defending Large Language Models. - Boyi Deng; Wenjie Wang 007; Fuli Feng; Yang Deng 002; Qifan Wang 001; Xiangnan He 001 (EMNLP (Findings), 2023)

RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. - Jaehyung Kim 001; Yuning Mao; Rui Hou; Hanchao Yu; Davis Liang; Pascale Fung; Qifan Wang 001; Fuli Feng; Lifu Huang; Madian Khabsa (EMNLP (Findings), 2023)

Robust Prompt Optimization for Large Language Models Against Distribution Shifts. - Moxin Li; Wenjie Wang 007; Fuli Feng; Yixin Cao 002; Jizhi Zhang; Tat-Seng Chua (EMNLP, 2023)

APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models. - Qifan Wang 001; Yuning Mao; Jingang Wang; Hanchao Yu; Shaoliang Nie; Sinong Wang; Fuli Feng; Lifu Huang; Xiaojun Quan; Zenglin Xu; Dongfang Liu (EMNLP, 2023)

LightMIRM: Light Meta-learned Invariant Risk Minimization for Trustworthy Loan Default Prediction. - Meng Jiang; Yang Zhang 072; Yuan Gao 020; Yansong Wang; Fuli Feng; Xiangnan He 001 (ICDE, 2023)

Discriminative-Invariant Representation Learning for Unbiased Recommendation. - Hang Pan 006; Jiawei Chen 007; Fuli Feng; Wentao Shi 002; Junkang Wu; Xiangnan He 001 (IJCAI, 2023)

FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs. - Yang Liu 200; Xiang Ao 001; Fuli Feng; Yunshan Ma; Kuan Li; Tat-Seng Chua; Qing He 003 (KDD, 2023)

Stable Prediction on Graphs with Agnostic Distribution Shifts. - Shengyu Zhang 001; Yunze Tong; Kun Kuang; Fuli Feng; Jiezhong Qiu; Jin Yu; Zhou Zhao 001; Hongxia Yang; Zhongfei Zhang; Fei Wu 001 (CDPD, 2023)

Partial Annotation-based Video Moment Retrieval via Iterative Learning. - Wei Ji 008; Renjie Liang; Lizi Liao; Hao Fei 001; Fuli Feng (ACM Multimedia, 2023)

Equivariant Learning for Out-of-Distribution Cold-start Recommendation. - Wenjie Wang 007; Xinyu Lin 001; Liuhui Wang; Fuli Feng; Yinwei Wei; Tat-Seng Chua (ACM Multimedia, 2023)

Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach. - Jinqiu Jin; Haoxuan Li 001; Fuli Feng; Sihao Ding 003; Peng Wu 012; Xiangnan He 001 (NeurIPS, 2023)

Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach. - Haoxuan Li 001; Kunhan Wu; Chunyuan Zheng 001; Yanghao Xiao; Hao Wang 049; Zhi Geng; Fuli Feng; Xiangnan He 001; Peng Wu 012 (NeurIPS, 2023)

TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation. - Keqin Bao; Jizhi Zhang; Yang Zhang 072; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (RecSys, 2023)

ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction. - Haoxuan Li 001; Taojun Hu; Zetong Xiong; Chunyuan Zheng 001; Fuli Feng; Xiangnan He 001; Xiao-Hua Zhou (RecSys, 2023)

RecAD: Towards A Unified Library for Recommender Attack and Defense. - Changsheng Wang; Jianbai Ye; Wenjie Wang 007; Chongming Gao; Fuli Feng; Xiangnan He 001 (RecSys, 2023)

Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation. - Jizhi Zhang; Keqin Bao; Yang Zhang 072; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (RecSys, 2023)

Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation. - Yulong Huang; Yang Zhang 072; Qifan Wang 001; Chenxu Wang; Fuli Feng (SIGIR, 2023)

Diffusion Recommender Model. - Wenjie Wang 007; Yiyan Xu; Fuli Feng; Xinyu Lin 001; Xiangnan He 001; Tat-Seng Chua (SIGIR, 2023)

Causal Recommendation: Progresses and Future Directions. - Wenjie Wang 007; Yang Zhang 072; Haoxuan Li 001; Peng Wu 012; Fuli Feng; Xiangnan He 001 (SIGIR, 2023)

Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation. - Yang Zhang 072; Tianhao Shi; Fuli Feng; Wenjie Wang 007; Dingxian Wang; Xiangnan He 001; Yongdong Zhang 001 (SIGIR, 2023)

A Causal View for Item-level Effect of Recommendation on User Preference. - Wei Cai; Fuli Feng; Qifan Wang 001; Tian Yang; Zhenguang Liu; Congfu Xu (WSDM, 2023)

Unbiased Knowledge Distillation for Recommendation. - Gang Chen; Jiawei Chen 007; Fuli Feng; Sheng Zhou 004; Xiangnan He 001 (WSDM, 2023)

On the Theories Behind Hard Negative Sampling for Recommendation. - Wentao Shi 002; Jiawei Chen 007; Fuli Feng; Jizhi Zhang; Junkang Wu; Chongming Gao; Xiangnan He 001 (WWW, 2023)

Anti-FakeU: Defending Shilling Attacks on Graph Neural Network based Recommender Model. - Xiaoyu You; Chi Li; Daizong Ding; Mi Zhang 001; Fuli Feng; Xudong Pan; Min Yang 002 (WWW, 2023)

MaSS: Model-agnostic, Semantic and Stealthy Data Poisoning Attack on Knowledge Graph Embedding. - Xiaoyu You; Beina Sheng; Daizong Ding; Mi Zhang 001; Xudong Pan; Min Yang 002; Fuli Feng (WWW, 2023)

SoarGraph: Numerical Reasoning over Financial Table-Text Data via Semantic-Oriented Hierarchical Graphs. - Fengbin Zhu; Moxin Li; Junbin Xiao; Fuli Feng; Chao Wang 049; Tat-Seng Chua (WWW (Companion Volume), 2023)

Generative Recommendation: Towards Next-generation Recommender Paradigm. - Wenjie Wang 007; Xinyu Lin 001; Fuli Feng; Xiangnan He 001; Tat-Seng Chua (CoRR, 2023)

Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents with Semantic-Oriented Hierarchical Graphs. - Fengbin Zhu; Chao Wang 049; Fuli Feng; Zifeng Ren; Moxin Li; Tat-Seng Chua (CoRR, 2023)

Robust Instruction Optimization for Large Language Models with Distribution Shifts. - Moxin Li; Wenjie Wang 007; Fuli Feng; Jizhi Zhang; Tat-Seng Chua (CoRR, 2023)

Recommendation Unlearning via Influence Function. - Yang Zhang 072; Zhiyu Hu; Yimeng Bai; Fuli Feng; Jiancan Wu; Qifan Wang 001; Xiangnan He 001 (CoRR, 2023)

A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems. - Keqin Bao; Jizhi Zhang; Wenjie Wang 007; Yang Zhang 072; Zhengyi Yang 007; Yancheng Luo; Fuli Feng; Xiangnan He 001; Qi Tian 001 (CoRR, 2023)

Label Denoising through Cross-Model Agreement. - Yu Wang; Xin Xin 003; Zaiqiao Meng; Xiangnan He 001; Joemon M. Jose; Fuli Feng (CoRR, 2023)

A Multi-facet Paradigm to Bridge Large Language Model and Recommendation. - Xinyu Lin 001; Wenjie Wang 007; Yongqi Li 001; Fuli Feng; See-Kiong Ng; Tat-Seng Chua (CoRR, 2023)

Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems. - Tianhao Shi; Yang Zhang 072; Zhijian Xu; Chong Chen 002; Fuli Feng; Xiangnan He 001; Qi Tian 001 (CoRR, 2023)

Reinforced Causal Explainer for Graph Neural Networks. - Xiang Wang 010; Yingxin Wu 002; An Zhang 003; Fuli Feng; Xiangnan He 001; Tat-Seng Chua (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Cross-GCN: Enhancing Graph Convolutional Network with $k$k-Order Feature Interactions. - Fuli Feng; Xiangnan He 001; Hanwang Zhang; Tat-Seng Chua (IEEE Trans. Knowl. Data Eng., 2023)

Addressing Confounding Feature Issue for Causal Recommendation. - Xiangnan He 001; Yang Zhang 072; Fuli Feng; Chonggang Song; Lingling Yi; Guohui Ling; Yongdong Zhang 001 (ACM Trans. Inf. Syst., 2023)

Bias and Debias in Recommender System: A Survey and Future Directions. - Jiawei Chen 007; Hande Dong; Xiang Wang 010; Fuli Feng; Meng Wang 001; Xiangnan He 001 (ACM Trans. Inf. Syst., 2023)

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. - Qingyao Ai; Ting Bai; Zhao Cao; Yi Chang 001; Jiawei Chen 007; Zhumin Chen; Zhiyong Cheng 001; Shoubin Dong; Zhicheng Dou; Fuli Feng; Shen Gao; Jiafeng Guo; et al. (AI Open, 2023)

Interactive active learning for fairness with partial group label. - Zeyu Yang; Jizhi Zhang; Fuli Feng; Chongming Gao; Qifan Wang 001; Xiangnan He 001 (AI Open, 2023)

Mitigating Spurious Correlations for Self-supervised Recommendation. - Xinyu Lin 001; Yiyan Xu; Wenjie Wang 007; Yang Zhang 072; Fuli Feng (Mach. Intell. Res., 2023)

CatGCN: Graph Convolutional Networks With Categorical Node Features. - Weijian Chen 001; Fuli Feng; Qifan Wang 001; Xiangnan He 001; Chonggang Song; Guohui Ling; Yongdong Zhang 001 (IEEE Trans. Knowl. Data Eng., 2023)

Personalized Latent Structure Learning for Recommendation. - Shengyu Zhang 001; Fuli Feng; Kun Kuang; Wenqiao Zhang; Zhou Zhao 001; Hongxia Yang; Tat-Seng Chua; Fei Wu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation. - Chenxu Wang; Fuli Feng; Yang Zhang 072; Qifan Wang 001; Xunhan Hu; Xiangnan He 001 (IEEE Trans. Big Data, 2023)

Temporally and Distributionally Robust Optimization for Cold-Start Recommendation. - Xinyu Lin 001; Wenjie Wang 007; Jujia Zhao; Yongqi Li 001; Fuli Feng; Tat-Seng Chua (AAAI, 2024)

Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction. - Xiaoyuan Li; Wenjie Wang 007; Moxin Li; Junrong Guo; Yang Zhang 072; Fuli Feng (ACL (Findings), 2024)

Text-like Encoding of Collaborative Information in Large Language Models for Recommendation. - Yang Zhang 072; Keqin Bao; Ming Yan; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (ACL (1), 2024)

Learnable Item Tokenization for Generative Recommendation. - Wenjie Wang 007; Honghui Bao; Xinyu Lin 001; Jizhi Zhang; Yongqi Li 001; Fuli Feng; See-Kiong Ng; Tat-Seng Chua (CIKM, 2024)

Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems. - Tianhao Shi; Yang Zhang 072; Zhijian Xu; Chong Chen 001; Fuli Feng; Xiangnan He 001; Qi Tian 001 (CIKM, 2024)

Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs. - Fengbin Zhu; Chao Wang 049; Fuli Feng; Zifeng Ren; Moxin Li; Tat-Seng Chua (LREC/COLING, 2024)

Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models. - Keqin Bao; Jizhi Zhang; Yang Zhang 072; Xinyue Huo; Chong Chen 001; Fuli Feng (EMNLP, 2024)

Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection. - Moxin Li; Wenjie Wang 007; Fuli Feng; Fengbin Zhu; Qifan Wang 001; Tat-Seng Chua (EMNLP (Findings), 2024)

Direct Multi-Turn Preference Optimization for Language Agents. - Wentao Shi 002; Mengqi Yuan; Junkang Wu; Qifan Wang 001; Fuli Feng (EMNLP, 2024)

M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning. - Taowen Wang; Yiyang Liu 003; James Liang; Junhan Zhao; Yiming Cui 002; Yuning Mao; Shaoliang Nie; Jiahao Liu; Fuli Feng; Zenglin Xu; Cheng Han 001; Lifu Huang; et al. (EMNLP, 2024)

Dual-Phase Accelerated Prompt Optimization. - Muchen Yang; Moxin Li; Yongle Li; Zijun Chen 001; Chongming Gao; Junqi Zhang; Yangyang Li; Fuli Feng (EMNLP (Findings), 2024)

EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction. - Li Yang; Qifan Wang 001; Jianfeng Chi; Jiahao Liu; Jingang Wang; Fuli Feng; Zenglin Xu; Yi Fang 008; Lifu Huang; Dongfang Liu (EMNLP (Findings), 2024)

TAT-LLM: A Specialized Language Model for Discrete Reasoning over Financial Tabular and Textual Data. - Fengbin Zhu; Ziyang Liu; Fuli Feng; Chao Wang 049; Moxin Li; Tat-Seng Chua (ICAIF, 2024)

Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference. - Haoxuan Li 001; Chunyuan Zheng 001; Sihao Ding 003; Peng Wu 012; Zhi Geng; Fuli Feng; Xiangnan He 001 (ICLR, 2024)

A3S: A General Active Clustering Method with Pairwise Constraints. - Xun Deng; Junlong Liu; Han Zhong; Fuli Feng; Chen Shen 003; Xiangnan He 001; Jieping Ye; Zheng Wang 027 (ICML, 2024)

On the Maximal Local Disparity of Fairness-Aware Classifiers. - Jinqiu Jin; Haoxuan Li 001; Fuli Feng (ICML, 2024)

GradCraft: Elevating Multi-task Recommendations through Holistic Gradient Crafting. - Yimeng Bai; Yang Zhang 072; Fuli Feng; Jing Lu; Xiaoxue Zang; Chenyi Lei; Yang Song 008 (KDD, 2024)

Debiased Recommendation with Noisy Feedback. - Haoxuan Li 001; Chunyuan Zheng 001; Wenjie Wang 007; Hao Wang 049; Fuli Feng; Xiao-Hua Zhou (KDD, 2024)

Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation. - Xinyu Lin 001; Wenjie Wang 007; Yongqi Li 001; Fuli Feng; See-Kiong Ng; Tat-Seng Chua (KDD, 2024)

Large Language Models for Recommendation: Past, Present, and Future. - Keqin Bao; Jizhi Zhang; Xinyu Lin 001; Yang Zhang 072; Wenjie Wang 007; Fuli Feng (SIGIR, 2024)

Data-efficient Fine-tuning for LLM-based Recommendation. - Xinyu Lin 001; Wenjie Wang 007; Yongqi Li 001; Shuo Yang 006; Fuli Feng; Yinwei Wei; Tat-Seng Chua (SIGIR, 2024)

Large Language Models are Learnable Planners for Long-Term Recommendation. - Wentao Shi 002; Xiangnan He 001; Yang Zhang 072; Chongming Gao; Xinyue Li; Jizhi Zhang; Qifan Wang 001; Fuli Feng (SIGIR, 2024)

Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach. - Tianhao Shi; Yang Zhang 072; Jizhi Zhang; Fuli Feng; Xiangnan He 001 (SIGIR, 2024)

Diffusion Models for Generative Outfit Recommendation. - Yiyan Xu; Wenjie Wang 007; Fuli Feng; Yunshan Ma; Jizhi Zhang; Xiangnan He 001 (SIGIR, 2024)

Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients. - Zihao Zhao 004; Yi Jing; Fuli Feng; Jiancan Wu; Chongming Gao; Xiangnan He 001 (SIGIR, 2024)

Denoising Diffusion Recommender Model. - Jujia Zhao; Wenjie Wang 007; Yiyan Xu; Teng Sun; Fuli Feng; Tat-Seng Chua (SIGIR, 2024)

LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting. - Yimeng Bai; Yang Zhang 072; Jing Lu; Jianxin Chang; Xiaoxue Zang; Yanan Niu; Yang Song 008; Fuli Feng (WSDM, 2024)

Proactive Recommendation with Iterative Preference Guidance. - Shuxian Bi; Wenjie Wang 007; Hang Pan 006; Fuli Feng; Xiangnan He 001 (WWW (Companion Volume), 2024)

Item-side Fairness of Large Language Model-based Recommendation System. - Meng Jiang; Keqin Bao; Jizhi Zhang; Wenjie Wang 007; Zhengyi Yang 007; Fuli Feng; Xiangnan He 001 (WWW, 2024)

Understanding and Counteracting Feature-Level Bias in Click-Through Rate Prediction. - Jinqiu Jin; Sihao Ding 003; Wenjie Wang 007; Fuli Feng (WWW (Companion Volume), 2024)

Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation. - Wentao Shi 002; Chenxu Wang; Fuli Feng; Yang Zhang 072; Wenjie Wang 007; Junkang Wu; Xiangnan He 001 (WWW, 2024)

Uplift Modeling for Target User Attacks on Recommender Systems. - Wenjie Wang 007; Changsheng Wang; Fuli Feng; Wentao Shi 002; Daizong Ding; Tat-Seng Chua (WWW, 2024)

The 2nd Workshop on Recommendation with Generative Models. - Wenjie Wang 007; Yang Zhang 072; Xinyu Lin 001; Fuli Feng; Weiwen Liu; Yong Liu 020; Xiangyu Zhao 001; Wayne Xin Zhao; Yang Song 008; Xiangnan He 001 (WWW (Companion Volume), 2024)

Large Language Models for Recommendation: Progresses and Future Directions. - Jizhi Zhang; Keqin Bao; Yang Zhang 072; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (WWW (Companion Volume), 2024)

Improving Prostate Cancer Risk Prediction through Partial AUC Optimization. - Xinyuan Zhu; Xiaohan Ren; Wentao Shi 002; Changming Wang; Xuehan Liu; Yuqing Liu; Tao Tao; Fuli Feng (WWW (Companion Volume), 2024)

Plug-In Diffusion Model for Embedding Denoising in Recommendation System. - Jujia Zhao; Wenjie Wang 007; Yiyan Xu; Teng Sun; Fuli Feng (CoRR, 2024)

TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data. - Fengbin Zhu; Ziyang Liu; Fuli Feng; Chao Wang 049; Moxin Li; Tat-Seng Chua (CoRR, 2024)

DiFashion: Towards Personalized Outfit Generation and Recommendation. - Yiyan Xu; Wenjie Wang 007; Fuli Feng; Yunshan Ma; Jizhi Zhang; Xiangnan He 001 (CoRR, 2024)

Prospect Personalized Recommendation on Large Language Model-based Agent Platform. - Jizhi Zhang; Keqin Bao; Wenjie Wang 007; Yang Zhang 072; Wentao Shi 002; Wanhong Xu; Fuli Feng; Tat-Seng Chua (CoRR, 2024)

Enhancing Long-Term Recommendation with Bi-level Learnable Large Language Model Planning. - Wentao Shi 002; Xiangnan He 001; Yang Zhang 072; Chongming Gao; Xinyue Li; Jizhi Zhang; Qifan Wang 001; Fuli Feng (CoRR, 2024)

Think Twice Before Assure: Confidence Estimation for Large Language Models through Reflection on Multiple Answers. - Moxin Li; Wenjie Wang 007; Fuli Feng; Fengbin Zhu; Qifan Wang 001; Tat-Seng Chua (CoRR, 2024)

Exact and Efficient Unlearning for Large Language Model-based Recommendation. - Zhiyu Hu; Yang Zhang 072; Minghao Xiao; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (CoRR, 2024)

A Survey of Generative Search and Recommendation in the Era of Large Language Models. - Yongqi Li 001; Xinyu Lin 001; Wenjie Wang 007; Fuli Feng; Liang Pang; Wenjie Li 002; Liqiang Nie; Xiangnan He 001; Tat-Seng Chua (CoRR, 2024)

Learnable Tokenizer for LLM-based Generative Recommendation. - Wenjie Wang 007; Honghui Bao; Xilin Chen 001; Jizhi Zhang; Yongqi Li 001; Fuli Feng; See-Kiong Ng; Tat-Seng Chua (CoRR, 2024)

Text-like Encoding of Collaborative Information in Large Language Models for Recommendation. - Yang Zhang 072; Keqin Bao; Ming Yang 001; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (CoRR, 2024)

Decoding Matters: Addressing Amplification Bias and Homogeneity Issue for LLM-based Recommendation. - Keqin Bao; Jizhi Zhang; Yang Zhang 072; Xinyue Huo; Chong Chen 001; Fuli Feng (CoRR, 2024)

Model Inversion Attacks Through Target-Specific Conditional Diffusion Models. - Ouxiang Li; Yanbin Hao; Zhicai Wang; Bin Zhu 006; Shuo Wang 008; Zaixi Zhang; Fuli Feng (CoRR, 2024)

Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation. - Chengbing Wang; Wentao Shi 002; Jizhi Zhang; Wenjie Wang 007; Hang Pan 006; Fuli Feng (CoRR, 2024)

Incorporate LLMs with Influential Recommender System. - Mingze Wang; Shuxian Bi; Wenjie Wang 007; Chongming Gao; Yangyang Li; Fuli Feng (CoRR, 2024)

Negative Sampling in Recommendation: A Survey and Future Directions. - Haokai Ma; Ruobing Xie; Lei Meng 001; Fuli Feng; Xiaoyu Du 002; Xingwu Sun; Zhanhui Kang; Xiangxu Meng (CoRR, 2024)

Proactive Recommendation in Social Networks: Steering User Interest via Neighbor Influence. - Hang Pan 006; Shuxian Bi; Wenjie Wang 007; Haoxuan Li 001; Peng Wu 012; Fuli Feng; Xiangnan He 001 (CoRR, 2024)

M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning. - Taowen Wang; Yiyang Liu 003; James Chenhao Liang; Junhan Zhao; Yiming Cui 002; Yuning Mao; Shaoliang Nie; Jiahao Liu; Fuli Feng; Zenglin Xu; Cheng Han 001; Lifu Huang; et al. (CoRR, 2024)

Personalized Image Generation with Large Multimodal Models. - Yiyan Xu; Wenjie Wang 007; Yang Zhang 072; Tang Biao; Peng Yan; Fuli Feng; Xiangnan He 001 (CoRR, 2024)

FLOW: A Feedback LOop FrameWork for Simultaneously Enhancing Recommendation and User Agents. - Shihao Cai; Jizhi Zhang; Keqin Bao; Chongming Gao; Fuli Feng (CoRR, 2024)

MMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document Understanding. - Fengbin Zhu; Ziyang Liu; Xiang Yao Ng; Haohui Wu; Wenjie Wang 007; Fuli Feng; Chao Wang 049; Huanbo Luan; Tat-Seng Chua (CoRR, 2024)

Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning. - Keqin Bao; Ming Yang 001; Yang Zhang 072; Jizhi Zhang; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (CoRR, 2024)

Causal Disentangled Recommendation against User Preference Shifts. - Wenjie Wang 007; Xinyu Lin 001; Liuhui Wang; Fuli Feng; Yunshan Ma; Tat-Seng Chua (ACM Trans. Inf. Syst., 2024)

Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. - Shengyu Zhang 001; Ziqi Jiang; Jiangchao Yao; Fuli Feng; Kun Kuang; Zhou Zhao 001; Shuo Li; Hongxia Yang; Tat-Seng Chua; Fei Wu 001 (IEEE Trans. Knowl. Data Eng., 2024)

SLED: Structure Learning based Denoising for Recommendation. - Shengyu Zhang 001; Tan Jiang; Kun Kuang; Fuli Feng; Jin Yu; Jianxin Ma; Zhou Zhao 001; Jianke Zhu; Hongxia Yang; Tat-Seng Chua; Fei Wu 001 (ACM Trans. Inf. Syst., 2024)

Learning to Double-Check Model Prediction From a Causal Perspective. - Xun Deng; Fuli Feng; Xiang Wang 010; Xiangnan He 001; Hanwang Zhang; Tat-Seng Chua (IEEE Trans. Neural Networks Learn. Syst., 2024)

Causal Incremental Graph Convolution for Recommender System Retraining. - Sihao Ding 003; Fuli Feng; Xiangnan He 001; Yong Liao; Jun Shi; Yongdong Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

When I Fall in Love: Capturing Video-Oriented Social Relationship Evolution via Attentive GNN. - Penggang Qin; Shiwei Wu; Tong Xu 001; Yanbin Hao; Fuli Feng; Chen Zhu 003; Enhong Chen (IEEE Trans. Circuits Syst. Video Technol., 2024)

Causal Inference in Recommender Systems: A Survey and Future Directions. - Chen Gao 001; Yu Zheng 010; Wenjie Wang 007; Fuli Feng; Xiangnan He 001; Yong Li 008 (ACM Trans. Inf. Syst., 2024)

Transferring Causal Mechanism over Meta-representations for Target-Unknown Cross-domain Recommendation. - Shengyu Zhang 001; Qiaowei Miao; Ping Nie; Mengze Li 001; Zhengyu Chen 001; Fuli Feng; Kun Kuang; Fei Wu 001 (ACM Trans. Inf. Syst., 2024)

Mitigating Hidden Confounding Effects for Causal Recommendation. - Xinyuan Zhu; Yang Zhang 072; Fuli Feng; Xun Yang 001; Dingxian Wang; Xiangnan He 001 (IEEE Trans. Knowl. Data Eng., 2024)

Causal Intervention for Fairness in Multibehavior Recommendation. - Xi Wang; Wenjie Wang 007; Fuli Feng; Wenge Rong; Chuantao Yin; Zhang Xiong 001 (IEEE Trans. Comput. Soc. Syst., 2024)

HoGRN: Explainable Sparse Knowledge Graph Completion via High-Order Graph Reasoning Network. - Weijian Chen 001; Yixin Cao 002; Fuli Feng; Xiangnan He 001; Yongdong Zhang 001 (IEEE Trans. Knowl. Data Eng., 2024)

CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG. - Boyi Deng; Wenjie Wang 007; Fengbin Zhu; Qifan Wang 001; Fuli Feng (AAAI, 2025)

Pre-trained Behavioral Model for Malicious User Prediction on Social Platform. - Meng Jiang; Wenjie Wang 007; Shaofeng Hu; Kaishen Ou; Zhenjing Zheng; Fuli Feng (AAAI, 2025)

Customizing In-context Learning for Dynamic Interest Adaption in LLM-based Recommendation. - Keqin Bao; Ming Yan; Yang Zhang 072; Jizhi Zhang; Wenjie Wang 007; Fuli Feng; Xiangnan He 001 (ACL (Findings), 2025)

K-order Ranking Preference Optimization for Large Language Models. - Shihao Cai; Chongming Gao; Yang Zhang 072; Wentao Shi 002; Jizhi Zhang; Keqin Bao; Qifan Wang 001; Fuli Feng (ACL (Findings), 2025)

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders. - Boyi Deng; Yu Wan 004; Baosong Yang; Yidan Zhang; Fuli Feng (ACL (1), 2025)

HellaSwag-Pro: A Large-Scale Bilingual Benchmark for Evaluating the Robustness of LLMs in Commonsense Reasoning. - Xiaoyuan Li; Moxin Li; Rui Men; Yichang Zhang; Keqin Bao; Wenjie Wang 007; Fuli Feng; Dayiheng Liu; Junyang Lin (ACL (Findings), 2025)

Self-Improvement Towards Pareto Optimality: Mitigating Preference Conflicts in Multi-Objective Alignment. - Moxin Li; Yuantao Zhang; Wenjie Wang 007; Wentao Shi 002; Zhuo Liu; Fuli Feng; Tat-Seng Chua (ACL (Findings), 2025)

Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization. - Yilun Qiu; Xiaoyan Zhao 005; Yang Zhang 072; Yimeng Bai; Wenjie Wang 007; Hong Cheng 001; Fuli Feng; Tat-Seng Chua (ACL (Findings), 2025)

Tunable LLM-based Proactive Recommendation Agent. - Mingze Wang; Chongming Gao; Wenjie Wang 007; Yangyang Li; Fuli Feng (ACL (1), 2025)

Personalized Generation In Large Model Era: A Survey. - Yiyan Xu; Jinghao Zhang; Alireza Salemi; Xinting Hu; Wenjie Wang 007; Fuli Feng; Hamed Zamani; Xiangnan He 001; Tat-Seng Chua (ACL (1), 2025)

Disentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning. - Ziang Ye; Zhenru Zhang; Yang Zhang 072; Jianxin Ma; Junyang Lin; Fuli Feng (ACL (Findings), 2025)

Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs. - Yi Fang 008; Moxin Li; Wenjie Wang 007; Lin Hui; Fuli Feng (COLING, 2025)

Efficient Inference for Large Language Model-based Generative Recommendation. - Xinyu Lin 001; Chaoqun Yang 002; Wenjie Wang 007; Yongqi Li 001; Cunxiao Du; Fuli Feng; See-Kiong Ng; Tat-Seng Chua (ICLR, 2025)

Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspective. - Ouxiang Li; Jiayin Cai; Yanbin Hao; Xiaolong Jiang; Yao Hu 002; Fuli Feng (KDD (1), 2025)

Large Language Models with Multi-faceted Relation Alignment for User Novel Interest Discovery. - Shuxian Bi; Wenjie Wang 007; Moxin Li; Chongming Gao; Fuli Feng (PAKDD (7), 2025)

Navigating Large Language Models for Recommendation: From Architecture to Learning Paradigms and Deployment. - Xinyu Lin 001; Keqin Bao; Jizhi Zhang; Yang Zhang 072; Wenjie Wang 007; Fuli Feng (SIGIR, 2025)

Order-agnostic Identifier for Large Language Model-based Generative Recommendation. - Xinyu Lin 001; Haihan Shi; Wenjie Wang 007; Fuli Feng; Qifan Wang 001; See-Kiong Ng; Tat-Seng Chua (SIGIR, 2025)

Unconstrained Monotonic Calibration of Predictions in Deep Ranking Systems. - Yimeng Bai; Shunyu Zhang; Yang Zhang 072; Hu Liu; Wentian Bao; Enyun Yu; Fuli Feng; Wenwu Ou (SIGIR, 2025)

Agentic Feedback Loop Modeling Improves Recommendation and User Simulation. - Shihao Cai; Jizhi Zhang; Keqin Bao; Chongming Gao; Qifan Wang 001; Fuli Feng; Xiangnan He 001 (SIGIR, 2025)

Fair Recommendation with Biased-Limited Sensitive Attribute. - Jizhi Zhang; Haoyu Shen; Tianhao Shi; Keqin Bao; Xin Chen 033; Yang Zhang 072; Fuli Feng (SIGIR, 2025)

FinIR: The 2nd Workshop on Financial Information Retrieval in the Era of Generative AI. - Fengbin Zhu; Yunshan Ma; Fuli Feng; Chao Wang 049; Huanbo Luan; Guangnan Ye; Shuo Zhang 006; Dhagash Mehta; Pingping Chen; Bing Xiang; Tat-Seng Chua (SIGIR, 2025)

Generative Recommendation: Towards Personalized Multimodal Content Generation. - Wenjie Wang 007; Xinyu Lin 001; Fuli Feng; Xiangnan He 001; Tat-Seng Chua (WWW (Companion Volume), 2025)

Debias Can Be Unreliable: Mitigating Bias in Evaluating Debiasing Recommendation. - Chengbing Wang; Wentao Shi 002; Jizhi Zhang; Wenjie Wang 007; Hang Pan 006; Fuli Feng (WWW (Companion Volume), 2025)

Leveraging LLMs for Influence Path Planning in Proactive Recommendation. - Mingze Wang; Shuxian Bi; Wenjie Wang 007; Chongming Gao; Yangyang Li; Fuli Feng (WWW (Companion Volume), 2025)

Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation. - Chengbing Wang; Yang Zhang 072; Fengbin Zhu; Jizhi Zhang; Tianhao Shi; Fuli Feng (WWW (Companion Volume), 2025)

Personalized Image Generation with Large Multimodal Models. - Yiyan Xu; Wenjie Wang 007; Yang Zhang 072; Biao Tang; Peng Yan; Fuli Feng; Xiangnan He 001 (WWW, 2025)

The 3rd Workshop on Personal Intelligence with Generative AI. - Yang Zhang 072; Wenjie Wang 007; Xinyu Lin 001; Fuli Feng; Hongzhi Yin; Wayne Xin Zhao; Lina Yao 001; Yang Song 008; Xiangnan He 001 (WWW (Companion Volume), 2025)

Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search. - Wentao Shi 002; Zichun Yu; Fuli Feng; Xiangnan He 001; Chenyan Xiong (CoRR, 2025)

Reason4Rec: Large Language Models for Recommendation with Deliberative User Preference Alignment. - Yi Fang 008; Wenjie Wang 007; Yang Zhang 072; Fengbin Zhu; Qifan Wang 001; Fuli Feng; Xiangnan He 001 (CoRR, 2025)

Optimizing Knowledge Integration in Retrieval-Augmented Generation with Self-Selection. - Yan Weng; Fengbin Zhu; Tong Ye; Haoyan Liu; Fuli Feng; Tat-Seng Chua (CoRR, 2025)

GENERator: A Long-Context Generative Genomic Foundation Model. - Wei Wu 045; Qiuyi Li; Mingyang Li; Kun Fu; Fuli Feng; Jieping Ye; Hui Xiong 001; Zheng Wang 027 (CoRR, 2025)

Less is More: Improving LLM Alignment via Preference Data Selection. - Xun Deng; Han Zhong; Rui Ai 004; Fuli Feng; Zheng Wang 027; Xiangnan He 001 (CoRR, 2025)

Addressing Overprescribing Challenges: Fine-Tuning Large Language Models for Medication Recommendation Tasks. - Zihao Zhao 004; Chenxiao Fan; Chongming Gao; Fuli Feng; Xiangnan He 001 (CoRR, 2025)

FinTMMBench: Benchmarking Temporal-Aware Multi-Modal RAG in Finance. - Fengbin Zhu; Junfeng Li; Liangming Pan; Wenjie Wang 007; Fuli Feng; Chao Wang 049; Huanbo Luan; Tat-Seng Chua (CoRR, 2025)

SPEED: Scalable, Precise, and Efficient Concept Erasure for Diffusion Models. - Ouxiang Li; Yuan Wang; Xinting Hu; Houcheng Jiang; Tao Liang; Yanbin Hao; Guojun Ma; Fuli Feng (CoRR, 2025)

Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 1. - Wenjie Wang 007; Zheng Liu 011; Fuli Feng; Zhicheng Dou; Qingyao Ai; Grace Hui Yang; Defu Lian; Lu Hou 002; Aixin Sun; Hamed Zamani; Donald Metzler; Maarten de Rijke (ACM Trans. Inf. Syst., 2025)

DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition. - Yiyan Xu; Wuqiang Zheng; Wenjie Wang 007; Fengbin Zhu; Xinting Hu; Yang Zhang 072; Fuli Feng; Tat-Seng Chua (CoRR, 2025)

Envisioning Recommendations on an LLM-Based Agent Platform. - Jizhi Zhang; Keqin Bao; Wenjie Wang 007; Yang Zhang 072; Wentao Shi 002; Wanhong Xu; Fuli Feng; Tat-Seng Chua (Commun. ACM, 2025)

MTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation. - Xiaoyuan Li; Keqin Bao; Yubo Ma; Moxin Li; Wenjie Wang 007; Rui Men; Yichang Zhang; Fuli Feng; Dayiheng Liu; Junyang Lin (CoRR, 2025)

Reinforced Latent Reasoning for LLM-based Recommendation. - Yang Zhang 072; Wenxin Xu; Xiaoyan Zhao 005; Wenjie Wang 007; Fuli Feng; Xiangnan He 001; Tat-Seng Chua (CoRR, 2025)

Assistant-Guided Mitigation of Teacher Preference Bias in LLM-as-a-Judge. - Zhuo Liu; Moxin Li; Xun Deng; Qifan Wang 001; Fuli Feng (CoRR, 2025)

Fine-grained List-wise Alignment for Generative Medication Recommendation. - Chenxiao Fan; Chongming Gao; Wentao Shi 002; Yaxin Gong; Zihao Zhao 004; Fuli Feng (CoRR, 2025)

CoLLM: Integrating Collaborative Embeddings Into Large Language Models for Recommendation. - Yang Zhang 072; Fuli Feng; Jizhi Zhang; Keqin Bao; Qifan Wang 001; Xiangnan He 001 (IEEE Trans. Knowl. Data Eng., 2025)

Independent or Social Driven Decision? A Counterfactual Refinement Strategy for Graph-Based Social Recommendation. - Dongyang Li; Jianshan Sun; Chongming Gao; Fuli Feng; Kun Yuan (ACM Trans. Inf. Syst., 2025)

NextQuill: Causal Preference Modeling for Enhancing LLM Personalization. - Xiaoyan Zhao 005; Juntao You; Yang Zhang 072; Wenjie Wang 007; Hong Cheng 001; Fuli Feng; See-Kiong Ng; Tat-Seng Chua (CoRR, 2025)

IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation. - Zijie Lin; Yang Zhang 072; Xiaoyan Zhao 005; Fengbin Zhu; Fuli Feng; Tat-Seng Chua (CoRR, 2025)

DiscRec: Disentangled Semantic-Collaborative Modeling for Generative Recommendation. - Chang Liu; Yimeng Bai; Xiaoyan Zhao 005; Yang Zhang 072; Fuli Feng; Wenge Rong (CoRR, 2025)

Recommendation Unlearning via Influence Function. - Yang Zhang 072; Zhiyu Hu; Yimeng Bai; Jiancan Wu; Qifan Wang 001; Fuli Feng (Trans. Recomm. Syst., 2025)

Heterogeneous User Modeling for LLM-based Recommendation. - Honghui Bao; Wenjie Wang 007; Xilin Chen 001; Fengbin Zhu; Teng Sun; Fuli Feng; Tat-Seng Chua (CoRR, 2025)

Unconditional Diffusion for Generative Sequential Recommendation. - Yimeng Bai; Yang Zhang 072; Sihao Ding 003; Shaohui Ruan; Han Yao; Danhui Guan; Fuli Feng; Tat-Seng Chua (CoRR, 2025)

VisualTrap: A Stealthy Backdoor Attack on GUI Agents via Visual Grounding Manipulation. - Ziang Ye; Yang Zhang 072; Wentao Shi 002; Xiaoyu You; Fuli Feng; Tat-Seng Chua (CoRR, 2025)

Boosting Parameter Efficiency in LLM-Based Recommendation through Sophisticated Pruning. - Shanle Zheng; Keqin Bao; Jizhi Zhang; Yang Zhang 072; Fuli Feng; Xiangnan He 001 (CoRR, 2025)

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code. - Keqin Bao; Nuo Chen; Xiaoyuan Li; Binyuan Hui; Bowen Yu 002; Fuli Feng; Xiangnan He 001; Dayiheng Liu (CoRR, 2025)

Generative Multi-Target Cross-Domain Recommendation. - Jinqiu Jin; Yang Zhang 072; Fuli Feng; Xiangnan He 001 (CoRR, 2025)

Sparse Autoencoder-guided Supervised Finetuning to Mitigate Unexpected Code-Switching in LLMs. - Boyi Deng; Yu Wan 004; Baosong Yang; Fei Huang 002; Wenjie Wang 007; Fuli Feng (CoRR, 2025)

MathOPEval: A Fine-grained Evaluation Benchmark for Visual Operations of MLLMs in Mathematical Reasoning. - Xiaoyuan Li; Moxin Li; Wenjie Wang 007; Rui Men; Yichang Zhang; Fuli Feng; Dayiheng Liu; Junyang Lin (CoRR, 2025)

Latent Inter-User Difference Modeling for LLM Personalization. - Yilun Qiu; Tianhao Shi; Xiaoyan Zhao 005; Fengbin Zhu; Yang Zhang 072; Fuli Feng (CoRR, 2025)

Navigating Through Paper Flood: Advancing LLM-based Paper Evaluation through Domain-Aware Retrieval and Latent Reasoning. - Wuqiang Zheng; Yiyan Xu; Xinyu Lin 001; Chongming Gao; Wenjie Wang 007; Fuli Feng (CoRR, 2025)

Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 2. - Wenjie Wang 007; Zheng Liu 011; Fuli Feng; Zhicheng Dou; Qingyao Ai; Grace Hui Yang; Defu Lian; Lu Hou 002; Aixin Sun; Hamed Zamani; Donald Metzler; Maarten de Rijke (ACM Trans. Inf. Syst., 2025)

A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems. - Keqin Bao; Jizhi Zhang; Wenjie Wang 007; Yang Zhang 072; Zhengyi Yang 007; Yanchen Luo; Chong Chen 001; Fuli Feng; Qi Tian 001 (Trans. Recomm. Syst., 2025)