Fuli Feng

ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 261

Top Venues

Publications

Yongqi Li, Xinyu Lin, Wenjie Wang, Fuli Feng, Liang Pang, Wenjie Li, Liqiang Nie, Xiangnan He, Tat-Seng Chua
A Survey of Generative Search and Recommendation in the Era of Large Language Models. CoRR (2024)
Wenjie Wang, Changsheng Wang, Fuli Feng, Wentao Shi, Daizong Ding, Tat-Seng Chua
Uplift Modeling for Target User Attacks on Recommender Systems. CoRR (2024)
Xun Deng, Fuli Feng, Xiang Wang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua
Learning to Double-Check Model Prediction From a Causal Perspective. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Zihao Zhao, Yi Jing, Fuli Feng, Jiancan Wu, Chongming Gao, Xiangnan He
Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients. CoRR (2024)
Xinyuan Zhu, Yang Zhang, Fuli Feng, Xun Yang, Dingxian Wang, Xiangnan He
Mitigating Hidden Confounding Effects for Causal Recommendation. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Meng Jiang, Keqin Bao, Jizhi Zhang, Wenjie Wang, Zhengyi Yang, Fuli Feng, Xiangnan He
Item-side Fairness of Large Language Model-based Recommendation System. CoRR (2024)
Ouxiang Li, Yanbin Hao, Zhicai Wang, Bin Zhu, Shuo Wang, Zaixi Zhang, Fuli Feng
Model Inversion Attacks Through Target-Specific Conditional Diffusion Models. CoRR (2024)
Zhiyu Hu, Yang Zhang, Minghao Xiao, Wenjie Wang, Fuli Feng, Xiangnan He
Exact and Efficient Unlearning for Large Language Model-based Recommendation. CoRR (2024)
Wentao Shi, Mengqi Yuan, Junkang Wu, Qifan Wang, Fuli Feng
Direct Multi-Turn Preference Optimization for Language Agents. CoRR (2024)
Shuxian Bi, Wenjie Wang, Hang Pan, Fuli Feng, Xiangnan He
Proactive Recommendation with Iterative Preference Guidance. WWW (Companion Volume) (2024)
Jinqiu Jin, Haoxuan Li, Fuli Feng
On the Maximal Local Disparity of Fairness-Aware Classifiers. CoRR (2024)
Sihao Ding, Fuli Feng, Xiangnan He, Yong Liao, Jun Shi, Yongdong Zhang
Causal Incremental Graph Convolution for Recommender System Retraining. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu
EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction. CoRR (2024)
Xinyu Lin, Wenjie Wang, Jujia Zhao, Yongqi Li, Fuli Feng, Tat-Seng Chua
Temporally and Distributionally Robust Optimization for Cold-Start Recommendation. AAAI (2024)
Wentao Shi, Chenxu Wang, Fuli Feng, Yang Zhang, Wenjie Wang, Junkang Wu, Xiangnan He
Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation. CoRR (2024)
Wenjie Wang, Honghui Bao, Xilin Chen, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua
Learnable Tokenizer for LLM-based Generative Recommendation. CoRR (2024)
Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He
DiFashion: Towards Personalized Outfit Generation and Recommendation. CoRR (2024)
Chen Gao, Yu Zheng, Wenjie Wang, Fuli Feng, Xiangnan He, Yong Li
Causal Inference in Recommender Systems: A Survey and Future Directions. ACM Trans. Inf. Syst. 42 (4) (2024)
Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He
Diffusion Models for Generative Outfit Recommendation. SIGIR (2024)
Fengbin Zhu, Chao Wang, Fuli Feng, Zifeng Ren, Moxin Li, Tat-Seng Chua
Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs. LREC/COLING (2024)
Yimeng Bai, Yang Zhang, Fuli Feng, Jing Lu, Xiaoxue Zang, Chenyi Lei, Yang Song
GradCraft: Elevating Multi-task Recommendations through Holistic Gradient Crafting. CoRR (2024)
Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng
Enhancing Long-Term Recommendation with Bi-level Learnable Large Language Model Planning. CoRR (2024)
Keqin Bao, Jizhi Zhang, Yang Zhang, Xinyue Huo, Chong Chen, Fuli Feng
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue for LLM-based Recommendation. CoRR (2024)
Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. CoRR (2024)
Xiaoyuan Li, Wenjie Wang, Moxin Li, Junrong Guo, Yang Zhang, Fuli Feng
Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction. CoRR (2024)
Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference. CoRR (2024)
Wenjie Wang, Changsheng Wang, Fuli Feng, Wentao Shi, Daizong Ding, Tat-Seng Chua
Uplift Modeling for Target User Attacks on Recommender Systems. WWW (2024)
Xinyu Lin, Wenjie Wang, Yongqi Li, Shuo Yang, Fuli Feng, Yinwei Wei, Tat-Seng Chua
Data-efficient Fine-tuning for LLM-based Recommendation. SIGIR (2024)
Keqin Bao, Jizhi Zhang, Xinyu Lin, Yang Zhang, Wenjie Wang, Fuli Feng
Large Language Models for Recommendation: Past, Present, and Future. SIGIR (2024)
Xinyuan Zhu, Xiaohan Ren, Wentao Shi, Changming Wang, Xuehan Liu, Yuqing Liu, Tao Tao, Fuli Feng
Improving Prostate Cancer Risk Prediction through Partial AUC Optimization. WWW (Companion Volume) (2024)
Wentao Shi, Chenxu Wang, Fuli Feng, Yang Zhang, Wenjie Wang, Junkang Wu, Xiangnan He
Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation. WWW (2024)
Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou
Debiased Recommendation with Noisy Feedback. CoRR (2024)
Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yunshan Ma, Tat-Seng Chua
Causal Disentangled Recommendation against User Preference Shifts. ACM Trans. Inf. Syst. 42 (1) (2024)
Jujia Zhao, Wang Wenjie, Yiyan Xu, Teng Sun, Fuli Feng, Tat-Seng Chua
Denoising Diffusion Recommender Model. SIGIR (2024)
Jujia Zhao, Wenjie Wang, Yiyan Xu, Teng Sun, Fuli Feng
Plug-In Diffusion Model for Embedding Denoising in Recommendation System. CoRR (2024)
Zihao Zhao, Yi Jing, Fuli Feng, Jiancan Wu, Chongming Gao, Xiangnan He
Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients. SIGIR (2024)
Xinyu Lin, Wenjie Wang, Yongqi Li, Shuo Yang, Fuli Feng, Yinwei Wei, Tat-Seng Chua
Data-efficient Fine-tuning for LLM-based Recommendation. CoRR (2024)
Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua
Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation. KDD (2024)
Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng
Large Language Models are Learnable Planners for Long-Term Recommendation. SIGIR (2024)
Yimeng Bai, Yang Zhang, Fuli Feng, Jing Lu, Xiaoxue Zang, Chenyi Lei, Yang Song
GradCraft: Elevating Multi-task Recommendations through Holistic Gradient Crafting. KDD (2024)
Yimeng Bai, Yang Zhang, Jing Lu, Jianxin Chang, Xiaoxue Zang, Yanan Niu, Yang Song, Fuli Feng
LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting. WSDM (2024)
Tianhao Shi, Yang Zhang, Jizhi Zhang, Fuli Feng, Xiangnan He
Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach. SIGIR (2024)
Penggang Qin, Shiwei Wu, Tong Xu, Yanbin Hao, Fuli Feng, Chen Zhu, Enhong Chen
When I Fall in Love: Capturing Video-Oriented Social Relationship Evolution via Attentive GNN. IEEE Trans. Circuits Syst. Video Technol. 34 (6) (2024)
Fengbin Zhu, Ziyang Liu, Fuli Feng, Chao Wang, Moxin Li, Tat-Seng Chua
TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data. CoRR (2024)
Tianhao Shi, Yang Zhang, Jizhi Zhang, Fuli Feng, Xiangnan He
Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach. CoRR (2024)
Yang Zhang, Keqin Bao, Ming Yan, Wenjie Wang, Fuli Feng, Xiangnan He
Text-like Encoding of Collaborative Information in Large Language Models for Recommendation. ACL (1) (2024)
Shengyu Zhang, Tan Jiang, Kun Kuang, Fuli Feng, Jin Yu, Jianxin Ma, Zhou Zhao, Jianke Zhu, Hongxia Yang, Tat-Seng Chua, Fei Wu
SLED: Structure Learning based Denoising for Recommendation. ACM Trans. Inf. Syst. 42 (2) (2024)
Xun Deng, Junlong Liu, Han Zhong, Fuli Feng, Chen Shen, Xiangnan He, Jieping Ye, Zheng Wang
A3S: A General Active Clustering Method with Pairwise Constraints. CoRR (2024)
Jinqiu Jin, Sihao Ding, Wenjie Wang, Fuli Feng
Understanding and Counteracting Feature-Level Bias in Click-Through Rate Prediction. CoRR (2024)
Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
Large Language Models for Recommendation: Progresses and Future Directions. WWW (Companion Volume) (2024)
Jinqiu Jin, Sihao Ding, Wenjie Wang, Fuli Feng
Understanding and Counteracting Feature-Level Bias in Click-Through Rate Prediction. WWW (Companion Volume) (2024)
Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He
The 2nd Workshop on Recommendation with Generative Models. CoRR (2024)
Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He
The 2nd Workshop on Recommendation with Generative Models. WWW (Companion Volume) (2024)
Shengyu Zhang, Qiaowei Miao, Ping Nie, Mengze Li, Zhengyu Chen, Fuli Feng, Kun Kuang, Fei Wu
Transferring Causal Mechanism over Meta-representations for Target-Unknown Cross-domain Recommendation. ACM Trans. Inf. Syst. 42 (4) (2024)
Moxin Li, Wenjie Wang, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat-Seng Chua
Think Twice Before Assure: Confidence Estimation for Large Language Models through Reflection on Multiple Answers. CoRR (2024)
Meng Jiang, Keqin Bao, Jizhi Zhang, Wenjie Wang, Zhengyi Yang, Fuli Feng, Xiangnan He
Item-side Fairness of Large Language Model-based Recommendation System. WWW (2024)
Yi Fang, Moxin Li, Wenjie Wang, Hui Lin, Fuli Feng
Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs. CoRR (2024)
Boyi Deng, Wenjie Wang, Fengbin Zhu, Qifan Wang, Fuli Feng
CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG. CoRR (2024)
Yang Zhang, Keqin Bao, Ming Yang, Wenjie Wang, Fuli Feng, Xiangnan He
Text-like Encoding of Collaborative Information in Large Language Models for Recommendation. CoRR (2024)
Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou
Debiased Recommendation with Noisy Feedback. KDD (2024)
Jizhi Zhang, Keqin Bao, Wenjie Wang, Yang Zhang, Wentao Shi, Wanhong Xu, Fuli Feng, Tat-Seng Chua
Prospect Personalized Recommendation on Large Language Model-based Agent Platform. CoRR (2024)
Shuxian Bi, Wenjie Wang, Hang Pan, Fuli Feng, Xiangnan He
Proactive Recommendation with Iterative Preference Guidance. CoRR (2024)
Xiaoyuan Li, Wenjie Wang, Moxin Li, Junrong Guo, Yang Zhang, Fuli Feng
Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction. ACL (Findings) (2024)
Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference. ICLR (2024)
Muchen Yang, Moxin Li, Yongle Li, Zijun Chen, Chongming Gao, Junqi Zhang, Yangyang Li, Fuli Feng
Dual-Phase Accelerated Prompt Optimization. CoRR (2024)
Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu
MUSTIE: Multimodal Structural Transformer for Web Information Extraction. ACL (1) (2023)
Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu
APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models. EMNLP (2023)
Gang Chen, Jiawei Chen, Fuli Feng, Sheng Zhou, Xiangnan He
Unbiased Knowledge Distillation for Recommendation. WSDM (2023)
Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat-Seng Chua
Diffusion Recommender Model. SIGIR (2023)
Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation. RecSys (2023)
Changsheng Wang, Jianbai Ye, Wenjie Wang, Chongming Gao, Fuli Feng, Xiangnan He
RecAD: Towards A Unified Library for Recommender Attack and Defense. RecSys (2023)
Zeyu Yang, Jizhi Zhang, Fuli Feng, Chongming Gao, Qifan Wang, Xiangnan He
Interactive active learning for fairness with partial group label. AI Open 4 (2023)
Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, Dongfang Liu
MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction. ACL (Findings) (2023)
Boyi Deng, Wenjie Wang, Fuli Feng, Yang Deng, Qifan Wang, Xiangnan He
Attack Prompt Generation for Red Teaming and Defending Large Language Models. CoRR (2023)
Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. EMNLP (Findings) (2023)
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
Video-Audio Domain Generalization via Confounder Disentanglement. AAAI (2023)
Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang
Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation. SIGIR (2023)
Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. CoRR (2023)
Yang Zhang, Fuli Feng, Jizhi Zhang, Keqin Bao, Qifan Wang, Xiangnan He
CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation. CoRR (2023)
Yang Liu, Xiang Ao, Fuli Feng, Yunshan Ma, Kuan Li, Tat-Seng Chua, Qing He
FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs. KDD (2023)
Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, Xiangnan He
Bias and Debias in Recommender System: A Survey and Future Directions. ACM Trans. Inf. Syst. 41 (3) (2023)
Keqin Bao, Jizhi Zhang, Yang Zhang, Wang Wenjie, Fuli Feng, Xiangnan He
Large Language Models for Recommendation: Progresses and Future Directions. SIGIR-AP (2023)
Xun Deng, Wenjie Wang, Fuli Feng, Hanwang Zhang, Xiangnan He, Yong Liao
Counterfactual Active Learning for Out-of-Distribution Generalization. ACL (1) (2023)
Yang Zhang, Yimeng Bai, Jianxin Chang, Xiaoxue Zang, Song Lu, Jing Lu, Fuli Feng, Yanan Niu, Yang Song
Leveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework. CoRR (2023)
Hang Pan, Jiawei Chen, Fuli Feng, Wentao Shi, Junkang Wu, Xiangnan He
Discriminative-Invariant Representation Learning for Unbiased Recommendation. IJCAI (2023)
Xin-Yu Lin, Yi-Yan Xu, Wen-Jie Wang, Yang Zhang, Fuli Feng
Mitigating Spurious Correlations for Self-supervised Recommendation. Mach. Intell. Res. 20 (2) (2023)
Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang
Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation. CoRR (2023)
Tianhao Shi, Yang Zhang, Zhijian Xu, Chong Chen, Fuli Feng, Xiangnan He, Qi Tian
Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems. CoRR (2023)
Fengbin Zhu, Chao Wang, Fuli Feng, Zifeng Ren, Moxin Li, Tat-Seng Chua
Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents with Semantic-Oriented Hierarchical Graphs. CoRR (2023)
Wei Ji, Renjie Liang, Lizi Liao, Hao Fei, Fuli Feng
Partial Annotation-based Video Moment Retrieval via Iterative Learning. ACM Multimedia (2023)
Wenjie Wang, Yang Zhang, Haoxuan Li, Peng Wu, Fuli Feng, Xiangnan He
Causal Recommendation: Progresses and Future Directions. SIGIR (2023)
Keqin Bao, Jizhi Zhang, Wenjie Wang, Yang Zhang, Zhengyi Yang, Yancheng Luo, Fuli Feng, Xiangnaan He, Qi Tian
A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems. CoRR (2023)
Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua
A Multi-facet Paradigm to Bridge Large Language Model and Recommendation. CoRR (2023)
Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community. CoRR (2023)
Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. AI Open 4 (2023)
Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He
On the Theories Behind Hard Negative Sampling for Recommendation. WWW (2023)
Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yunshan Ma, Tat-Seng Chua
Causal Disentangled Recommendation Against User Preference Shifts. CoRR (2023)
Jinqiu Jin, Haoxuan Li, Fuli Feng, Sihao Ding, Peng Wu, Xiangnan He
Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach. NeurIPS (2023)
Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat-Seng Chua
Diffusion Recommender Model. CoRR (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Fuli Feng