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Fuli Feng

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

173

Venues

19

Active years

2016–2026

Best venue rank

A*

Where they publish

Papers

173 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIDon't Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs.Ziyi Zhao, Chongming Gao, Yang Zhang, Haoyan Liu, Weinan Gan, Huifeng Guo, Yong Liu, Fuli Feng
2026AAAINavigating Through Paper Flood: Advancing LLM-Based Paper Evaluation Through Domain-Aware Retrieval and Latent Reasoning.Wuqiang Zheng, Yiyan Xu, Xinyu Lin, Chongming Gao, Wenjie Wang, Fuli Feng
2026ACLReList: A Multi-objective Reasoning Framework for Diversified Listwise Query Recommendation.Shuxian Bi, Chenxu Wang, Wenjie Wang, Yueqi Mou, Fuli Feng, Tang Biao, Peng Yan
2026ACLControllable LLM Reasoning via Sparse Autoencoder-Based Steering.Yi Fang, Wenjie Wang, Mingfeng Xue, Boyi Deng, Fengli Xu, Dayiheng Liu, Fuli Feng
2026ACLMTR-Bench: A Comprehensive Benchmark for Multi-Turn Reasoning Evaluation.Xiaoyuan Li, Keqin Bao, Yubo Ma, Moxin Li, Wenjie Wang, Rui Men, Yichang Zhang, Fuli Feng, Dayiheng Liu
2026ACLAJ-Bench: Benchmarking Agent-as-a-Judge for Environment-Aware Evaluation.Wentao Shi, Yu Wang, Yuyang Zhao, Yuxin Chen, Fuli Feng, Xueyuan Hao, Xi Su, Qi Gu, Hui Su, Xunliang Cai, Xiangnan He
2026ACLEfficient Multi-Agent System Training with Data Influence-Oriented Tree Search.Wentao Shi, Zichun Yu, Fuli Feng, Xiangnan He, Chenyan Xiong
2026ACLPERM: Psychology-grounded Empathetic Reward Modeling for Large Language Models.Chengbing Wang, Wuqiang Zheng, Yang Zhang, Fengbin Zhu, Junyi Cheng, Yi Xie, Wenjie Wang, Fuli Feng
2026ACLTROJail: Trajectory-Level Optimization for Multi-Turn Large Language Model Jailbreaks with Process Rewards.Xiqiao Xiong, Ouxiang Li, Zhuo Liu, Moxin Li, Wentao Shi, Fengbin Zhu, Qifan Wang, Fuli Feng
2026KDDMGFRec: Towards Reinforced Reasoning Recommendation with Multiple Groundings and Feedback.Shihao Cai, Chongming Gao, Haoyan Liu, Wentao Shi, Jianshan Sun, Ruiming Tang, Fuli Feng
2026MMMMMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document Understanding and Grounding.Fengbin Zhu, Ziyang Liu, Xiang Yao Ng, Haohui Wu, Wenjie Wang, Fuli Feng, Chao Wang, Huanbo Luan, Tat-Seng Chua
2026WWWBringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking.Xinyu Lin, Pengyuan Liu, Wenjie Wang, Yicheng Hu, Chen Xu, Fuli Feng, Qifan Wang, Tat-Seng Chua
2026SIGIRBi-Level Optimization for Generative Recommendation: Bridging Tokenization and Generation.Yimeng Bai, Chang Liu, Yang Zhang, Dingxian Wang, Frank Yang, Andrew Rabinovich, Wenge Rong, Fuli Feng
2026SIGIROne Adapts to Any: Meta Reward Modeling for Personalized LLM Alignment.Hongru Cai, Yongqi Li, Tiezheng Yu, Fengbin Zhu, Wenjie Wang, Fuli Feng, Wenjie Li
2026SIGIRVerifiable Reasoning for LLM-based Generative Recommendation.Xinyu Lin, Hanqing Zeng, Hanchao Yu, Yinglong Xia, Jiang Zhang, Aashu Singh, Fei Liu, Wenjie Wang, Fuli Feng, Tat-Seng Chua, Qifan Wang
2026SIGIRAlpsBench: An LLM Personalization Benchmark for Real-Dialogue Memorization and Preference Alignment.Jianfei Xiao, Xiang Yu, Chengbing Wang, Wuqiang Zheng, Xinyu Lin, Kaining Liu, Hongxun Ding, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
2026SIGIRLLM Personalization: Foundations, Breakthroughs, and Frontiers.Xiaoyan Zhao, Xinyu Lin, Chengbing Wang, Zeyu Zhang, Bohao Wang, Yang Zhang, Wenjie Wang, Fuli Feng
2025AAAICrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG.Boyi Deng, Wenjie Wang, Fengbin Zhu, Qifan Wang, Fuli Feng
2025AAAIPre-trained Behavioral Model for Malicious User Prediction on Social Platform.Meng Jiang, Wenjie Wang, Shaofeng Hu, Kaishen Ou, Zhenjing Zheng, Fuli Feng
2025ACLCustomizing In-context Learning for Dynamic Interest Adaption in LLM-based Recommendation.Keqin Bao, Ming Yan, Yang Zhang, Jizhi Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
2025ACLConsistency-Aware Online Multi-Objective Alignment for Related Search Query Generation.Shuxian Bi, Chongming Gao, Wenjie Wang, Yueqi Mou, Chenxu Wang, Tang Biao, Peng Yan, Fuli Feng
2025ACLK-order Ranking Preference Optimization for Large Language Models.Shihao Cai, Chongming Gao, Yang Zhang, Wentao Shi, Jizhi Zhang, Keqin Bao, Qifan Wang, Fuli Feng
2025ACLUnveiling Language-Specific Features in Large Language Models via Sparse Autoencoders.Boyi Deng, Yu Wan, Baosong Yang, Yidan Zhang, Fuli Feng
2025ACLHellaSwag-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, Fuli Feng, Dayiheng Liu, Junyang Lin
2025ACLSelf-Improvement Towards Pareto Optimality: Mitigating Preference Conflicts in Multi-Objective Alignment.Moxin Li, Yuantao Zhang, Wenjie Wang, Wentao Shi, Zhuo Liu, Fuli Feng, Tat-Seng Chua
2025ACLMeasuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization.Yilun Qiu, Xiaoyan Zhao, Yang Zhang, Yimeng Bai, Wenjie Wang, Hong Cheng, Fuli Feng, Tat-Seng Chua
2025ACLTunable LLM-based Proactive Recommendation Agent.Mingze Wang, Chongming Gao, Wenjie Wang, Yangyang Li, Fuli Feng
2025ACLPersonalized Generation In Large Model Era: A Survey.Yiyan Xu, Jinghao Zhang, Alireza Salemi, Xinting Hu, Wenjie Wang, Fuli Feng, Hamed Zamani, Xiangnan He, Tat-Seng Chua
2025ACLDisentangling Reasoning Tokens and Boilerplate Tokens For Language Model Fine-tuning.Ziang Ye, Zhenru Zhang, Yang Zhang, Jianxin Ma, Junyang Lin, Fuli Feng
2025CIKMAn LLM-based Behavior Modeling Framework for Malicious User Detection.Meng Jiang, Wenjie Wang, Chongming Gao, Shaofeng Hu, Kaishen Ou, Hui Lin, Fuli Feng
2025CIKMIncremental Learning for LLM-based Tokenization and Recommendation.Haihan Shi, Xinyu Lin, Wenjie Wang, Wentao Shi, Junwei Pan, Jie Jiang, Fuli Feng
2025CIKMAppAgent-Pro: A Proactive GUI Agent System for Multidomain Information Integration and User Assistance.Yuyang Zhao, Wentao Shi, Fuli Feng, Xiangnan He
2025COLINGCounterfactual Debating with Preset Stances for Hallucination Elimination of LLMs.Yi Fang, Moxin Li, Wenjie Wang, Lin Hui, Fuli Feng
2025EMNLPAssistant-Guided Mitigation of Teacher Preference Bias in LLM-as-a-Judge.Zhuo Liu, Moxin Li, Xun Deng, Qifan Wang, Fuli Feng
2025EMNLPLatent Inter-User Difference Modeling for LLM Personalization.Yilun Qiu, Tianhao Shi, Xiaoyan Zhao, Fengbin Zhu, Yang Zhang, Fuli Feng
2025EMNLPExamining False Positives under Inference Scaling for Mathematical Reasoning.Yu Wang, Nan Yang, Liang Wang, Furu Wei, Fuli Feng
2025EMNLPDecoding in Latent Spaces for Efficient Inference in LLM-based Recommendation.Chengbing Wang, Yang Zhang, Zhicheng Wang, Tianhao Shi, Keqin Bao, Fuli Feng, Tat-Seng Chua
2025EMNLPLeveraging Unpaired Feedback for Long-Term LLM-based Recommendation Tuning.Jizhi Zhang, Chongming Gao, Wentao Shi, Xi-Lin Chen, Jingang Wang, Xunliang Cai, Fuli Feng
2025ICLREfficient Inference for Large Language Model-based Generative Recommendation.Xinyu Lin, Chaoqun Yang, Wenjie Wang, Yongqi Li, Cunxiao Du, Fuli Feng, See-Kiong Ng, Tat-Seng Chua
2025IJCNLPItem-Language Model: Improving Large Language Model for Recommendation via Item-Language Representation Learning.Li Yang, Anushya Subbiah, Hardik Patel, Judith Yue Li, Yanwei Song, Reza Mirghaderi, Vikram Aggarwal, Fuli Feng, Zenglin Xu, Dongfang Liu, Qifan Wang
2025KDDImproving Synthetic Image Detection Towards Generalization: An Image Transformation Perspective.Ouxiang Li, Jiayin Cai, Yanbin Hao, Xiaolong Jiang, Yao Hu, Fuli Feng
2025PAKDDLarge Language Models with Multi-faceted Relation Alignment for User Novel Interest Discovery.Shuxian Bi, Wenjie Wang, Moxin Li, Chongming Gao, Fuli Feng
2025RecSysHeterogeneous User Modeling for LLM-based Recommendation.Honghui Bao, Wenjie Wang, Xinyu Lin, Fengbin Zhu, Teng Sun, Fuli Feng, Tat-Seng Chua
2025WWWGenerative Recommendation: Towards Personalized Multimodal Content Generation.Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Tat-Seng Chua
2025WWWDebias Can Be Unreliable: Mitigating Bias in Evaluating Debiasing Recommendation.Chengbing Wang, Wentao Shi, Jizhi Zhang, Wenjie Wang, Hang Pan, Fuli Feng
2025WWWLeveraging LLMs for Influence Path Planning in Proactive Recommendation.Mingze Wang, Shuxian Bi, Wenjie Wang, Chongming Gao, Yangyang Li, Fuli Feng
2025WWWLeveraging Memory Retrieval to Enhance LLM-based Generative Recommendation.Chengbing Wang, Yang Zhang, Fengbin Zhu, Jizhi Zhang, Tianhao Shi, Fuli Feng
2025WWWPersonalized Image Generation with Large Multimodal Models.Yiyan Xu, Wenjie Wang, Yang Zhang, Biao Tang, Peng Yan, Fuli Feng, Xiangnan He
2025WWWThe 3rd Workshop on Personal Intelligence with Generative AI.Yang Zhang, Wenjie Wang, Xinyu Lin, Fuli Feng, Hongzhi Yin, Wayne Xin Zhao, Lina Yao, Yang Song, Xiangnan He
2025SIGIRNavigating Large Language Models for Recommendation: From Architecture to Learning Paradigms and Deployment.Xinyu Lin, Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng
2025SIGIROrder-agnostic Identifier for Large Language Model-based Generative Recommendation.Xinyu Lin, Haihan Shi, Wenjie Wang, Fuli Feng, Qifan Wang, See-Kiong Ng, Tat-Seng Chua
2025SIGIRUnconstrained Monotonic Calibration of Predictions in Deep Ranking Systems.Yimeng Bai, Shunyu Zhang, Yang Zhang, Hu Liu, Wentian Bao, Enyun Yu, Fuli Feng, Wenwu Ou
2025SIGIRAgentic Feedback Loop Modeling Improves Recommendation and User Simulation.Shihao Cai, Jizhi Zhang, Keqin Bao, Chongming Gao, Qifan Wang, Fuli Feng, Xiangnan He
2025SIGIRFair Recommendation with Biased-Limited Sensitive Attribute.Jizhi Zhang, Haoyu Shen, Tianhao Shi, Keqin Bao, Xin Chen, Yang Zhang, Fuli Feng
2025SIGIRFinIR: The 2nd Workshop on Financial Information Retrieval in the Era of Generative AI.Fengbin Zhu, Yunshan Ma, Fuli Feng, Chao Wang, Huanbo Luan, Guangnan Ye, Shuo Zhang, Dhagash Mehta, Pingping Chen, Bing Xiang, Tat-Seng Chua
2024AAAITemporally and Distributionally Robust Optimization for Cold-Start Recommendation.Xinyu Lin, Wenjie Wang, Jujia Zhao, Yongqi Li, Fuli Feng, Tat-Seng Chua
2024ACLEvaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction.Xiaoyuan Li, Wenjie Wang, Moxin Li, Junrong Guo, Yang Zhang, Fuli Feng
2024ACLText-like Encoding of Collaborative Information in Large Language Models for Recommendation.Yang Zhang, Keqin Bao, Ming Yan, Wenjie Wang, Fuli Feng, Xiangnan He
2024CIKMLearnable Item Tokenization for Generative Recommendation.Wenjie Wang, Honghui Bao, Xinyu Lin, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua
2024CIKMPreliminary Study on Incremental Learning for Large Language Model-based Recommender Systems.Tianhao Shi, Yang Zhang, Zhijian Xu, Chong Chen, Fuli Feng, Xiangnan He, Qi Tian
2024COLINGDoc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs.Fengbin Zhu, Chao Wang, Fuli Feng, Zifeng Ren, Moxin Li, Tat-Seng Chua
2024EMNLPDecoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models.Keqin Bao, Jizhi Zhang, Yang Zhang, Xinyue Huo, Chong Chen, Fuli Feng
2024EMNLPThink Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection.Moxin Li, Wenjie Wang, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat-Seng Chua
2024EMNLPDirect Multi-Turn Preference Optimization for Language Agents.Wentao Shi, Mengqi Yuan, Junkang Wu, Qifan Wang, Fuli Feng
2024EMNLPM²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning.Taowen Wang, Yiyang Liu, James Liang, Junhan Zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu
2024EMNLPDual-Phase Accelerated Prompt Optimization.Muchen Yang, Moxin Li, Yongle Li, Zijun Chen, Chongming Gao, Junqi Zhang, Yangyang Li, Fuli Feng
2024EMNLPEAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction.Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu
2024ICLRBe Aware of the Neighborhood Effect: Modeling Selection Bias under Interference.Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He
2024ICMLA3S: A General Active Clustering Method with Pairwise Constraints.Xun Deng, Junlong Liu, Han Zhong, Fuli Feng, Chen Shen, Xiangnan He, Jieping Ye, Zheng Wang
2024ICMLOn the Maximal Local Disparity of Fairness-Aware Classifiers.Jinqiu Jin, Haoxuan Li, Fuli Feng
2024KDDGradCraft: Elevating Multi-task Recommendations through Holistic Gradient Crafting.Yimeng Bai, Yang Zhang, Fuli Feng, Jing Lu, Xiaoxue Zang, Chenyi Lei, Yang Song
2024KDDBridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation.Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua
2024KDDDebiased Recommendation with Noisy Feedback.Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou
2024WWWProactive Recommendation with Iterative Preference Guidance.Shuxian Bi, Wenjie Wang, Hang Pan, Fuli Feng, Xiangnan He
2024WWWItem-side Fairness of Large Language Model-based Recommendation System.Meng Jiang, Keqin Bao, Jizhi Zhang, Wenjie Wang, Zhengyi Yang, Fuli Feng, Xiangnan He
2024WWWUnderstanding and Counteracting Feature-Level Bias in Click-Through Rate Prediction.Jinqiu Jin, Sihao Ding, Wenjie Wang, Fuli Feng
2024WWWLower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation.Wentao Shi, Chenxu Wang, Fuli Feng, Yang Zhang, Wenjie Wang, Junkang Wu, Xiangnan He
2024WWWUplift Modeling for Target User Attacks on Recommender Systems.Wenjie Wang, Changsheng Wang, Fuli Feng, Wentao Shi, Daizong Ding, Tat-Seng Chua
2024WWWThe 2nd Workshop on Recommendation with Generative Models.Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He
2024WWWLarge Language Models for Recommendation: Progresses and Future Directions.Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
2024WWWImproving Prostate Cancer Risk Prediction through Partial AUC Optimization.Xinyuan Zhu, Xiaohan Ren, Wentao Shi, Changming Wang, Xuehan Liu, Yuqing Liu, Tao Tao, Fuli Feng
2024SIGIRLarge Language Models for Recommendation: Past, Present, and Future.Keqin Bao, Jizhi Zhang, Xinyu Lin, Yang Zhang, Wenjie Wang, Fuli Feng
2024SIGIRData-efficient Fine-tuning for LLM-based Recommendation.Xinyu Lin, Wenjie Wang, Yongqi Li, Shuo Yang, Fuli Feng, Yinwei Wei, Tat-Seng Chua
2024SIGIRLarge Language Models are Learnable Planners for Long-Term Recommendation.Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng
2024SIGIRFair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach.Tianhao Shi, Yang Zhang, Jizhi Zhang, Fuli Feng, Xiangnan He
2024SIGIRDiffusion Models for Generative Outfit Recommendation.Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He
2024SIGIRLeave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients.Zihao Zhao, Yi Jing, Fuli Feng, Jiancan Wu, Chongming Gao, Xiangnan He
2024SIGIRDenoising Diffusion Recommender Model.Jujia Zhao, Wenjie Wang, Yiyan Xu, Teng Sun, Fuli Feng, Tat-Seng Chua
2024WSDMLabelCraft: Empowering Short Video Recommendations with Automated Label Crafting.Yimeng Bai, Yang Zhang, Jing Lu, Jianxin Chang, Xiaoxue Zang, Yanan Niu, Yang Song, Fuli Feng
2023AAAIVideo-Audio Domain Generalization via Confounder Disentanglement.Shengyu Zhang, Xusheng Feng, Wenyan Fan, Wenjing Fang, Fuli Feng, Wei Ji, Shuo Li, Li Wang, Shanshan Zhao, Zhou Zhao, Tat-Seng Chua, Fei Wu
2023AAAIBlack-Box Adversarial Attack on Time Series Classification.Daizong Ding, Mi Zhang, Fuli Feng, Yuanmin Huang, Erling Jiang, Min Yang
2023ACLCounterfactual Active Learning for Out-of-Distribution Generalization.Xun Deng, Wenjie Wang, Fuli Feng, Hanwang Zhang, Xiangnan He, Yong Liao
2023ACLHypothetical Training for Robust Machine Reading Comprehension of Tabular Context.Moxin Li, Wenjie Wang, Fuli Feng, Hanwang Zhang, Qifan Wang, Tat-Seng Chua
2023ACLMUSTIE: Multimodal Structural Transformer for Web Information Extraction.Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu
2023ACLMixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction.Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, Dongfang Liu
2023CIKMThe 1st Workshop on Recommendation with Generative Models.Wenjie Wang, Yong Liu, Yang Zhang, Weiwen Liu, Fuli Feng, Xiangnan He, Aixin Sun
2023CIKMLeveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework.Yang Zhang, Yimeng Bai, Jianxin Chang, Xiaoxue Zang, Song Lu, Jing Lu, Fuli Feng, Yanan Niu, Yang Song
2023EMNLPAttack Prompt Generation for Red Teaming and Defending Large Language Models.Boyi Deng, Wenjie Wang, Fuli Feng, Yang Deng, Qifan Wang, Xiangnan He
2023EMNLPRoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training.Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa
2023EMNLPRobust Prompt Optimization for Large Language Models Against Distribution Shifts.Moxin Li, Wenjie Wang, Fuli Feng, Yixin Cao, Jizhi Zhang, Tat-Seng Chua
2023EMNLPAPrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models.Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu
2023ICDELightMIRM: Light Meta-learned Invariant Risk Minimization for Trustworthy Loan Default Prediction.Meng Jiang, Yang Zhang, Yuan Gao, Yansong Wang, Fuli Feng, Xiangnan He
2023IJCAIDiscriminative-Invariant Representation Learning for Unbiased Recommendation.Hang Pan, Jiawei Chen, Fuli Feng, Wentao Shi, Junkang Wu, Xiangnan He
2023KDDFLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs.Yang Liu, Xiang Ao, Fuli Feng, Yunshan Ma, Kuan Li, Tat-Seng Chua, Qing He
2023RecSysTALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation.Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
2023RecSysADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction.Haoxuan Li, Taojun Hu, Zetong Xiong, Chunyuan Zheng, Fuli Feng, Xiangnan He, Xiao-Hua Zhou
2023RecSysRecAD: Towards A Unified Library for Recommender Attack and Defense.Changsheng Wang, Jianbai Ye, Wenjie Wang, Chongming Gao, Fuli Feng, Xiangnan He
2023RecSysIs ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation.Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
2023WWWOn the Theories Behind Hard Negative Sampling for Recommendation.Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He
2023WWWAnti-FakeU: Defending Shilling Attacks on Graph Neural Network based Recommender Model.Xiaoyu You, Chi Li, Daizong Ding, Mi Zhang, Fuli Feng, Xudong Pan, Min Yang
2023WWWMaSS: Model-agnostic, Semantic and Stealthy Data Poisoning Attack on Knowledge Graph Embedding.Xiaoyu You, Beina Sheng, Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Fuli Feng
2023WWWSoarGraph: Numerical Reasoning over Financial Table-Text Data via Semantic-Oriented Hierarchical Graphs.Fengbin Zhu, Moxin Li, Junbin Xiao, Fuli Feng, Chao Wang, Tat-Seng Chua
2023SIGIRPrediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation.Yulong Huang, Yang Zhang, Qifan Wang, Chenxu Wang, Fuli Feng
2023SIGIRDiffusion Recommender Model.Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat-Seng Chua
2023SIGIRCausal Recommendation: Progresses and Future Directions.Wenjie Wang, Yang Zhang, Haoxuan Li, Peng Wu, Fuli Feng, Xiangnan He
2023SIGIRReformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation.Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang
2023WSDMA Causal View for Item-level Effect of Recommendation on User Preference.Wei Cai, Fuli Feng, Qifan Wang, Tian Yang, Zhenguang Liu, Congfu Xu
2023WSDMUnbiased Knowledge Distillation for Recommendation.Gang Chen, Jiawei Chen, Fuli Feng, Sheng Zhou, Xiangnan He
2022ACLLearning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning.Moxin Li, Fuli Feng, Hanwang Zhang, Xiangnan He, Fengbin Zhu, Tat-Seng Chua
2022EMNLPLearning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation.Qifan Wang, Li Yang, Xiaojun Quan, Fuli Feng, Dongfang Liu, Zenglin Xu, Sinong Wang, Hao Ma
2022ICDETowards Backdoor Attack on Deep Learning based Time Series Classification.Daizong Ding, Mi Zhang, Yuanmin Huang, Xudong Pan, Fuli Feng, Erling Jiang, Min Yang
2022ICDEDynamic Hypergraph Convolutional Network.Nan Yin, Fuli Feng, Zhigang Luo, Xiang Zhang, Wenjie Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua
2022IJCAICopy Motion From One to Another: Fake Motion Video Generation.Zhenguang Liu, Sifan Wu, Chejian Xu, Xiang Wang, Lei Zhu, Shuang Wu, Fuli Feng
2022IJCAIGL-RG: Global-Local Representation Granularity for Video Captioning.Liqi Yan, Qifan Wang, Yiming Cui, Fuli Feng, Xiaojun Quan, Xiangyu Zhang, Dongfang Liu
2022KDDAddressing Unmeasured Confounder for Recommendation with Sensitivity Analysis.Sihao Ding, Peng Wu, Fuli Feng, Yitong Wang, Xiangnan He, Yong Liao, Yongdong Zhang
2022KDDUD-GNN: Uncertainty-aware Debiased Training on Semi-Homophilous Graphs.Yang Liu, Xiang Ao, Fuli Feng, Qing He
2022WWWAccepted Tutorials at The Web Conference 2022.Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He
2022WWWWebFormer: The Web-page Transformer for Structure Information Extraction.Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu
2022WWWCausal Representation Learning for Out-of-Distribution Recommendation.Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Min Lin, Tat-Seng Chua
2022WWWLearning Robust Recommenders through Cross-Model Agreement.Yu Wang, Xin Xin, Zaiqiao Meng, Joemon M. Jose, Fuli Feng, Xiangnan He
2022WWWRe4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation.Shengyu Zhang, Lingxiao Yang, Dong Yao, Yujie Lu, Fuli Feng, Zhou Zhao, Tat-Seng Chua, Fei Wu
2022SIGIRInterpolative Distillation for Unifying Biased and Debiased Recommendation.Sihao Ding, Fuli Feng, Xiangnan He, Jinqiu Jin, Wenjie Wang, Yong Liao, Yongdong Zhang
2022SIGIRUser-controllable Recommendation Against Filter Bubbles.Wenjie Wang, Fuli Feng, Liqiang Nie, Tat-Seng Chua
2022SIGIRStructured and Natural Responses Co-generation for Conversational Search.Chenchen Ye, Lizi Liao, Fuli Feng, Wei Ji, Tat-Seng Chua
2021AAAIConceptualized and Contextualized Gaussian Embedding.Chen Qian, Fuli Feng, Lijie Wen, Tat-Seng Chua
2021ACLCounterfactual Inference for Text Classification Debiasing.Chen Qian, Fuli Feng, Lijie Wen, Chunping Ma, Pengjun Xie
2021ACLEmpowering Language Understanding with Counterfactual Reasoning.Fuli Feng, Jizhi Zhang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua
2021ACLTAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance.Fengbin Zhu, Wenqiang Lei, Youcheng Huang, Chao Wang, Shuo Zhang, Jiancheng Lv, Fuli Feng, Tat-Seng Chua
2021CIKMLearning to Learn the Future: Modeling Concept Drifts in Time Series Prediction.Xiaoyu You, Mi Zhang, Daizong Ding, Fuli Feng, Yuanmin Huang
2021KDDDeconfounded Recommendation for Alleviating Bias Amplification.Wenjie Wang, Fuli Feng, Xiangnan He, Xiang Wang, Tat-Seng Chua
2021KDDModel-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System.Tianxin Wei, Fuli Feng, Jiawei Chen, Ziwei Wu, Jinfeng Yi, Xiangnan He
2021RecSysBias Issues and Solutions in Recommender System: Tutorial on the RecSys 2021.Jiawei Chen, Xiang Wang, Fuli Feng, Xiangnan He
2021WWWOn the Equivalence of Decoupled Graph Convolution Network and Label Propagation.Hande Dong, Jiawei Chen, Fuli Feng, Xiangnan He, Shuxian Bi, Zhaolin Ding, Peng Cui
2021SIGIRShould Graph Convolution Trust Neighbors? A Simple Causal Inference Method.Fuli Feng, Weiran Huang, Xiangnan He, Xin Xin, Qifan Wang, Tat-Seng Chua
2021SIGIRHybrid Learning to Rank for Financial Event Ranking.Fuli Feng, Moxin Li, Cheng Luo, Ritchie Ng, Tat-Seng Chua
2021SIGIRClicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue.Wenjie Wang, Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua
2021SIGIRSelf-supervised Graph Learning for Recommendation.Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
2021SIGIRDeconfounded Video Moment Retrieval with Causal Intervention.Xun Yang, Fuli Feng, Wei Ji, Meng Wang, Tat-Seng Chua
2021SIGIRCausal Intervention for Leveraging Popularity Bias in Recommendation.Yang Zhang, Fuli Feng, Xiangnan He, Tianxin Wei, Chonggang Song, Guohui Ling, Yongdong Zhang
2021WSDMDenoising Implicit Feedback for Recommendation.Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua
2020AAAISolving Sequential Text Classification as Board-Game Playing.Chen Qian, Fuli Feng, Lijie Wen, Zhenpeng Chen, Li Lin, Yanan Zheng, Tat-Seng Chua
2020ICDMFast Adaptation for Cold-start Collaborative Filtering with Meta-learning.Tianxin Wei, Ziwei Wu, Ruirui Li, Ziniu Hu, Fuli Feng, Xiangnan He, Yizhou Sun, Wei Wang
2020IJCAIBilinear Graph Neural Network with Neighbor Interactions.Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang
2020SIGIREnhancing Text Classification via Discovering Additional Semantic Clues from Logograms.Chen Qian, Fuli Feng, Lijie Wen, Li Lin, Tat-Seng Chua
2020SIGIRFinIR 2020: The First Workshop on Information Retrieval in Finance.Fuli Feng, Cheng Luo, Xiangnan He, Yiqun Liu, Tat-Seng Chua
2020SIGIRHow to Retrain Recommender System?: A Sequential Meta-Learning Method.Yang Zhang, Fuli Feng, Chenxu Wang, Xiangnan He, Meng Wang, Yan Li, Yongdong Zhang
2019AAAIExplicit Interaction Model towards Text Classification.Cunxiao Du, Zhaozheng Chen, Fuli Feng, Lei Zhu, Tian Gan, Liqiang Nie
2019ICDENeural Multi-task Recommendation from Multi-behavior Data.Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Depeng Jin
2019IJCAIEnhancing Stock Movement Prediction with Adversarial Training.Fuli Feng, Huimin Chen, Xiangnan He, Ji Ding, Maosong Sun, Tat-Seng Chua
2019WWWCross-domain Recommendation Without Sharing User-relevant Data.Chen Gao, Xiangning Chen, Fuli Feng, Kai Zhao, Xiangnan He, Yong Li, Depeng Jin
2019SIGIRSupervised Hierarchical Cross-Modal Hashing.Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang, Liqiang Nie
2019SIGIRNeural Graph Collaborative Filtering.Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng, Tat-Seng Chua
2019SIGIRInterpretable Fashion Matching with Rich Attributes.Xun Yang, Xiangnan He, Xiang Wang, Yunshan Ma, Fuli Feng, Meng Wang, Tat-Seng Chua
2018IJCAIDiscrete Factorization Machines for Fast Feature-based Recommendation.Han Liu, Xiangnan He, Fuli Feng, Liqiang Nie, Rui Liu, Hanwang Zhang
2018IJCAICross-Domain Depression Detection via Harvesting Social Media.Tiancheng Shen, Jia Jia, Guangyao Shen, Fuli Feng, Xiangnan He, Huanbo Luan, Jie Tang, Thanassis Tiropanis, Tat-Seng Chua, Wendy Hall
2018IJCAIQuality Matters: Assessing cQA Pair Quality via Transductive Multi-View Learning.Xiaochi Wei, Heyan Huang, Liqiang Nie, Fuli Feng, Richang Hong, Tat-Seng Chua
2018WWWAn Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data.Jingtao Ding, Fuli Feng, Xiangnan He, Guanghui Yu, Yong Li, Depeng Jin
2018WWWLearning on Partial-Order Hypergraphs.Fuli Feng, Xiangnan He, Yiqun Liu, Liqiang Nie, Tat-Seng Chua
2018WWWTEM: Tree-enhanced Embedding Model for Explainable Recommendation.Xiang Wang, Xiangnan He, Fuli Feng, Liqiang Nie, Tat-Seng Chua
2018SIGIRNeural Compatibility Modeling with Attentive Knowledge Distillation.Xuemeng Song, Fuli Feng, Xianjing Han, Xin Yang, Wei Liu, Liqiang Nie
2017IJCAIDepression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution.Guangyao Shen, Jia Jia, Liqiang Nie, Fuli Feng, Cunjun Zhang, Tianrui Hu, Tat-Seng Chua, Wenwu Zhu
2017SIGIRComputational Social Indicators: A Case Study of Chinese University Ranking.Fuli Feng, Liqiang Nie, Xiang Wang, Richang Hong, Tat-Seng Chua
2016SEKELong-Term Active Integrator Prediction in the Evaluation of Code Contributions.Jing Jiang, Fuli Feng, Xiaoli Lian, Li Zhang