Yongfeng Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 300

Top Venues

Aberystwyth University, UK (PHD)

Education History

Aberystwyth University, UK

PHD

Publications

Juntao Tan, Shelby Heinecke, Zhiwei Liu, Yongjun Chen, Yongfeng Zhang, Huan Wang
Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training. SDM (2024)
Jianchao Ji, Yutong Chen, Mingyu Jin, Wujiang Xu, Wenyue Hua, Yongfeng Zhang
MoralBench: Moral Evaluation of LLMs. CoRR (2024)
Tiantian Xiao, Ziwei Wang, Yongfeng Zhang, Hongbin Lv, Shuai Wang, Hailing Feng, Yanna Zhao
Self-supervised Learning with Attention Mechanism for EEG-based seizure detection. Biomed. Signal Process. Control. 87 (Part A) (2024)
Hang Gao, Yongfeng Zhang
Memory Sharing for Large Language Model based Agents. CoRR (2024)
Zhichao Xu, Hansi Zeng, Juntao Tan, Zuohui Fu, Yongfeng Zhang, Qingyao Ai
A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability. ACM Trans. Inf. Syst. 42 (1) (2024)
Shuyuan Xu, Zelong Li, Kai Mei, Yongfeng Zhang
AIOS Compiler: LLM as Interpreter for Natural Language Programming and Flow Programming of AI Agents. CoRR (2024)
Wenyue Hua, Yingqiang Ge, Shuyuan Xu, Jianchao Ji, Zelong Li, Yongfeng Zhang
UP5: Unbiased Foundation Model for Fairness-aware Recommendation. EACL (1) (2024)
Dong Shu, Mingyu Jin, Tianle Chen, Chong Zhang, Yongfeng Zhang
Counterfactual Explainable Incremental Prompt Attack Analysis on Large Language Models. CoRR (2024)
Jianchao Ji, Zelong Li, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Juntao Tan, Yongfeng Zhang
GenRec: Large Language Model for Generative Recommendation. ECIR (3) (2024)
Hang Gao, Yongfeng Zhang
VRSD: Rethinking Similarity and Diversity for Retrieval in Large Language Models. CoRR (2024)
Mingyu Jin, Qinkai Yu, Jingyuan Huang, Qingcheng Zeng, Zhenting Wang, Wenyue Hua, Haiyan Zhao, Kai Mei, Yanda Meng, Kaize Ding, Fan Yang, Mengnan Du, Yongfeng Zhang
Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers? CoRR (2024)
Zelong Li, Wenyue Hua, Hao Wang, He Zhu, Yongfeng Zhang
Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents. CoRR (2024)
Juntao Tan, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Zelong Li, Yongfeng Zhang
IDGenRec: LLM-RecSys Alignment with Textual ID Learning. SIGIR (2024)
Ruosong Ye, Caiqi Zhang, Runhui Wang, Shuyuan Xu, Yongfeng Zhang
Language is All a Graph Needs. EACL (Findings) (2024)
Guo Lin, Wenyue Hua, Yongfeng Zhang
PromptCrypt: Prompt Encryption for Secure Communication with Large Language Models. CoRR (2024)
Lei Li, Yongfeng Zhang, Dugang Liu, Li Chen
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions. LREC/COLING (2024)
Kai Mei, Zelong Li, Shuyuan Xu, Ruosong Ye, Yingqiang Ge, Yongfeng Zhang
AIOS: LLM Agent Operating System. CoRR (2024)
Dong Shu, Tianle Chen, Mingyu Jin, Yiting Zhang, Chong Zhang, Mengnan Du, Yongfeng Zhang
Knowledge Graph Large Language Model (KG-LLM) for Link Prediction. CoRR (2024)
Yongfeng Zhang, Jinwei Bu, Xiaoqing Zuo, Kegen Yu, Qiulan Wang, Weimin Huang
Vegetation Water Content Retrieval from Spaceborne GNSS-R and Multi-Source Remote Sensing Data Using Ensemble Machine Learning Methods. Remote. Sens. 16 (15) (2024)
Mingyu Jin, Haochen Xue, Zhenting Wang, Boming Kang, Ruosong Ye, Kaixiong Zhou, Mengnan Du, Yongfeng Zhang
ProLLM: Protein Chain-of-Thoughts Enhanced LLM for Protein-Protein Interaction Prediction. CoRR (2024)
Mingyu Jin, Beichen Wang, Zhaoqian Xue, Suiyuan Zhu, Wenyue Hua, Hua Tang, Kai Mei, Mengnan Du, Yongfeng Zhang
What if LLMs Have Different World Views: Simulating Alien Civilizations with LLM-based Agents. CoRR (2024)
Wenyue Hua, Kaijie Zhu, Lingyao Li, Lizhou Fan, Shuhang Lin, Mingyu Jin, Haochen Xue, Zelong Li, Jindong Wang, Yongfeng Zhang
Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities. CoRR (2024)
Dong Shu, Mingyu Jin, Suiyuan Zhu, Beichen Wang, Zihao Zhou, Chong Zhang, Yongfeng Zhang
AttackEval: How to Evaluate the Effectiveness of Jailbreak Attacking on Large Language Models. CoRR (2024)
Lizhou Fan, Wenyue Hua, Lingyao Li, Haoyang Ling, Yongfeng Zhang
NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes. ACL (1) (2024)
Huizi Yu, Lizhou Fan, Lingyao Li, Jiayan Zhou, Zihui Ma, Lu Xian, Wenyue Hua, Sijia He, Mingyu Jin, Yongfeng Zhang, Ashvin Gandhi, Xin Ma
Large Language Models in Biomedical and Health Informatics: A Bibliometric Review. CoRR (2024)
Mingyu Jin, Hua Tang, Chong Zhang, Qinkai Yu, Chengzhi Liu, Suiyuan Zhu, Yongfeng Zhang, Mengnan Du
Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities. CoRR (2024)
Mingyu Jin, Qinkai Yu, Dong Shu, Haiyan Zhao, Wenyue Hua, Yanda Meng, Yongfeng Zhang, Mengnan Du
The Impact of Reasoning Step Length on Large Language Models. ACL (Findings) (2024)
Mingyu Jin, Qinkai Yu, Chong Zhang, Dong Shu, Suiyuan Zhu, Mengnan Du, Yongfeng Zhang, Yanda Meng
Health-LLM: Personalized Retrieval-Augmented Disease Prediction Model. CoRR (2024)
Runhui Wang, Luyang Kong, Yefan Tao, Andrew Borthwick, Davor Golac, Henrik Johnson, Shadie Hijazi, Dong Deng, Yongfeng Zhang
Neural Locality Sensitive Hashing for Entity Blocking. CoRR (2024)
Zelong Li, Shuyuan Xu, Kai Mei, Wenyue Hua, Balaji Rama, Om Raheja, Hao Wang, He Zhu, Yongfeng Zhang
AutoFlow: Automated Workflow Generation for Large Language Model Agents. CoRR (2024)
Xinyi Li, Yongfeng Zhang, Edward C. Malthouse
Prompt-Based Generative News Recommendation (PGNR): Accuracy and Controllability. ECIR (2) (2024)
Wujiang Xu, Zujie Liang, Jiaojiao Han, Xuying Ning, Wenfang Lin, Linxun Chen, Feng Wei, Yongfeng Zhang
SLMRec: Empowering Small Language Models for Sequential Recommendation. CoRR (2024)
Wenyue Hua, Xianjun Yang, Zelong Li, Wei Cheng, Yongfeng Zhang
TrustAgent: Towards Safe and Trustworthy LLM-based Agents through Agent Constitution. CoRR (2024)
Yunqi Li, Lanjing Zhang, Yongfeng Zhang
Probing into the Fairness of Large Language Models: A Case Study of ChatGPT. CISS (2024)
Lizhou Fan, Wenyue Hua, Xiang Li, Kaijie Zhu, Mingyu Jin, Lingyao Li, Haoyang Ling, Jinkui Chi, Jindong Wang, Xin Ma, Yongfeng Zhang
NPHardEval4V: A Dynamic Reasoning Benchmark of Multimodal Large Language Models. CoRR (2024)
Runhui Wang, Luyang Kong, Yefan Tao, Andrew Borthwick, Davor Golac, Henrik Johnson, Shadie Hijazi, Dong Deng, Yongfeng Zhang
Neural Locality Sensitive Hashing for Entity Blocking. SDM (2024)
Yunqi Li, Hanxiong Chen, Lanjing Zhang, Yongfeng Zhang
Fairness in Survival Outcome Prediction for Medical Treatments. CISS (2024)
Chong Zhang, Xinyi Liu, Mingyu Jin, Zhongmou Zhang, Lingyao Li, Zhenting Wang, Wenyue Hua, Dong Shu, Suiyuan Zhu, Xiaobo Jin, Sujian Li, Mengnan Du, Yongfeng Zhang
When AI Meets Finance (StockAgent): Large Language Model-based Stock Trading in Simulated Real-world Environments. CoRR (2024)
Mingyu Jin, Qinkai Yu, Dong shu, Haiyan Zhao, Wenyue Hua, Yanda Meng, Yongfeng Zhang, Mengnan Du
The Impact of Reasoning Step Length on Large Language Models. CoRR (2024)
Qingcheng Zeng, Mingyu Jin, Qinkai Yu, Zhenting Wang, Wenyue Hua, Zihao Zhou, Guangyan Sun, Yanda Meng, Shiqing Ma, Qifan Wang, Felix Juefei-Xu, Kaize Ding, Fan Yang, Ruixiang Tang, Yongfeng Zhang
Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models. CoRR (2024)
Zelong Li, Jianchao Ji, Yingqiang Ge, Wenyue Hua, Yongfeng Zhang
PAP-REC: Personalized Automatic Prompt for Recommendation Language Model. CoRR (2024)
Peng Gao, Shijie Geng, Renrui Zhang, Teli Ma, Rongyao Fang, Yongfeng Zhang, Hongsheng Li, Yu Qiao
CLIP-Adapter: Better Vision-Language Models with Feature Adapters. Int. J. Comput. Vis. 132 (2) (2024)
Shuyuan Xu, Wenyue Hua, Yongfeng Zhang
OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems. SIGIR (2024)
Runhui Wang, Yongfeng Zhang
Pre-trained Language Models for Entity Blocking: A Reproducibility Study. NAACL-HLT (2024)
Xinyi Li, Yongfeng Zhang, Edward C. Malthouse
Large Language Model Agent for Fake News Detection. CoRR (2024)
Dong Shu, Haoran Zhao, Xukun Liu, David Demeter, Mengnan Du, Yongfeng Zhang
LawLLM: Law Large Language Model for the US Legal System. CoRR (2024)
Lingyao Li, Jiayan Zhou, Zhenxiang Gao, Wenyue Hua, Lizhou Fan, Huizi Yu, Loni Hagen, Yongfeng Zhang, Themistocles L. Assimes, Libby Hemphill, Siyuan Ma
A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs). CoRR (2024)
Xuying Ning, Wujiang Xu, Xiaolei Liu, Mingming Ha, Qiongxu Ma, Youru Li, Linxun Chen, Yongfeng Zhang
Information Maximization via Variational Autoencoders for Cross-Domain Recommendation. CoRR (2024)
Juntao Tan, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Zelong Li, Yongfeng Zhang
Towards LLM-RecSys Alignment with Textual ID Learning. CoRR (2024)
Juntao Tan, Yongfeng Zhang
ExplainableFold: Understanding AlphaFold Prediction with Explainable AI. CoRR (2023)
Yongxin Ni, Yu Cheng, Xiangyan Liu, Junchen Fu, Youhua Li, Xiangnan He, Yongfeng Zhang, Fajie Yuan
A Content-Driven Micro-Video Recommendation Dataset at Scale. CoRR (2023)
Juntao Tan, Yingqiang Ge, Yan Zhu, Yinglong Xia, Jiebo Luo, Jianchao Ji, Yongfeng Zhang
User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations. CoRR (2023)
Juntao Tan, Yingqiang Ge, Yan Zhu, Yinglong Xia, Jiebo Luo, Jianchao Ji, Yongfeng Zhang
User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations. ECAI (2023)
Shuyuan Xu, Wenyue Hua, Yongfeng Zhang
OpenP5: Benchmarking Foundation Models for Recommendation. CoRR (2023)
Yongfeng Zhang, Tiantian Xiao, Ziwei Wang, Hongbin Lv, Shuai Wang, Hailing Feng, Shanshan Zhao, Yanna Zhao
Hybrid Network for Patient-Specific Seizure Prediction from EEG Data. Int. J. Neural Syst. 33 (11) (2023)
Shijie Geng, Juntao Tan, Shuchang Liu, Zuohui Fu, Yongfeng Zhang
VIP5: Towards Multimodal Foundation Models for Recommendation. EMNLP (Findings) (2023)
Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu
Tutorials at The Web Conference 2023. WWW (Companion Volume) (2023)
Xinyi Li, Yongfeng Zhang, Edward C. Malthouse
A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, Fake News. CoRR (2023)
Yunqi Li, Dingxian Wang, Hanxiong Chen, Yongfeng Zhang
Transferable Fairness for Cold-Start Recommendation. CoRR (2023)
Xinyi Li, Yongfeng Zhang, Edward C. Malthouse
Exploring Fine-tuning ChatGPT for News Recommendation. CoRR (2023)
Wenyue Hua, Lifeng Jin, Linfeng Song, Haitao Mi, Yongfeng Zhang, Dong Yu
Discover, Explain, Improve: An Automatic Slice Detection Benchmark for Natural Language Processing. Trans. Assoc. Comput. Linguistics 11 (2023)
Qianli Xing, Zhenbin Zhang, Zhen Li, Xiaozhe Liu, Yu Li, Yi Zhang, Yongfeng Zhang, Tomislav Dragicevic, José Rodríguez
Bias-Free Predictive Control of Power Converters with LCL Filter in Micro-Energy Systems. IEEE Trans. Ind. Electron. 70 (6) (2023)
Wenyue Hua, Lizhou Fan, Lingyao Li, Kai Mei, Jianchao Ji, Yingqiang Ge, Libby Hemphill, Yongfeng Zhang
War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars. CoRR (2023)
Jianchao Ji, Zelong Li, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Juntao Tan, Yongfeng Zhang
GenRec: Large Language Model for Generative Recommendation. CoRR (2023)
Weixin Chen, Li Chen, Yongxin Ni, Yuhan Zhao, Fajie Yuan, Yongfeng Zhang
FMMRec: Fairness-aware Multimodal Recommendation. CoRR (2023)
Ziwei Wang, Sujuan Hou, Tiantian Xiao, Yongfeng Zhang, Hongbin Lv, Jiacheng Li, Shanshan Zhao, Yanna Zhao
Lightweight Seizure Detection Based on Multi-Scale Channel Attention. Int. J. Neural Syst. 33 (12) (2023)
Shuyuan Xu, Jianchao Ji, Yunqi Li, Yingqiang Ge, Juntao Tan, Yongfeng Zhang
Causal Inference for Recommendation: Foundations, Methods and Applications. CoRR (2023)
Lei Li, Yongfeng Zhang, Li Chen
On the Relationship between Explanation and Recommendation: Learning to Rank Explanations for Improved Performance. ACM Trans. Intell. Syst. Technol. 14 (2) (2023)
Yingqiang Ge, Wenyue Hua, Jianchao Ji, Juntao Tan, Shuyuan Xu, Yongfeng Zhang
OpenAGI: When LLM Meets Domain Experts. CoRR (2023)
Jianchao Ji, Zelong Li, Shuyuan Xu, Max Xiong, Juntao Tan, Yingqiang Ge, Hao Wang, Yongfeng Zhang
Counterfactual Collaborative Reasoning. WSDM (2023)
Guo Lin, Yongfeng Zhang
Sparks of Artificial General Recommender (AGR): Early Experiments with ChatGPT. CoRR (2023)
Xu Chen, Zhenlei Wang, Hongteng Xu, Jingsen Zhang, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen
Data Augmented Sequential Recommendation Based on Counterfactual Thinking. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Juntao Tan, Yongfeng Zhang
ExplainableFold: Understanding AlphaFold Prediction with Explainable AI. KDD (2023)
Kai Mei, Yongfeng Zhang
LightLM: A Lightweight Deep and Narrow Language Model for Generative Recommendation. CoRR (2023)
Yanna Zhao, Jiatong He, Fenglin Zhu, Tiantian Xiao, Yongfeng Zhang, Ziwei Wang, Fangzhou Xu, Yi Niu
Hybrid Attention Network for Epileptic EEG Classification. Int. J. Neural Syst. 33 (6) (2023)
Wenyue Hua, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang
How to Index Item IDs for Recommendation Foundation Models. SIGIR-AP (2023)
Wenyue Hua, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang
How to Index Item IDs for Recommendation Foundation Models. CoRR (2023)
Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Gabriele Tolomei
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples. CoRR (2023)
Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Shuchang Liu, Yongfeng Zhang
Fairness in Recommendation: Foundations, Methods, and Applications. ACM Trans. Intell. Syst. Technol. 14 (5) (2023)
Lei Li, Yongfeng Zhang, Li Chen
Prompt Distillation for Efficient LLM-based Recommendation. CIKM (2023)
Yingqiang Ge, Yujie Ren, Wenyue Hua, Shuyuan Xu, Juntao Tan, Yongfeng Zhang
LLM as OS (llmao), Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystem. CoRR (2023)
Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Gabriele Tolomei
The Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples. SIGIR (2023)
Ruosong Ye, Caiqi Zhang, Runhui Wang, Shuyuan Xu, Yongfeng Zhang
Natural Language is All a Graph Needs. CoRR (2023)
Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Ji Jiang, Dong Zheng, Kun Gai, Peng Jiang, Xiangyu Zhao, Yongfeng Zhang
Exploration and Regularization of the Latent Action Space in Recommendation. CoRR (2023)
Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang
Causal Collaborative Filtering. ICTIR (2023)
Shijie Geng, Jianbo Yuan, Yu Tian, Yuxiao Chen, Yongfeng Zhang
HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention. CoRR (2023)
Lei Li, Yongfeng Zhang, Dugang Liu, Li Chen
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions. CoRR (2023)
Guo Lin, Yongfeng Zhang
Sparks of Artificial General Recommender (AGR): Experiments with ChatGPT. Algorithms 16 (9) (2023)
Shijie Geng, Juntao Tan, Shuchang Liu, Zuohui Fu, Yongfeng Zhang
VIP5: Towards Multimodal Foundation Models for Recommendation. CoRR (2023)
Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Ji Jiang, Dong Zheng, Peng Jiang, Kun Gai, Xiangyu Zhao, Yongfeng Zhang
Exploration and Regularization of the Latent Action Space in Recommendation. WWW (2023)
Juntao Tan, Shelby Heinecke, Zhiwei Liu, Yongjun Chen, Yongfeng Zhang, Huan Wang
Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training. CoRR (2023)
Lei Li, Yongfeng Zhang, Li Chen
Personalized Prompt Learning for Explainable Recommendation. ACM Trans. Inf. Syst. 41 (4) (2023)
Shijie Geng, Jianbo Yuan, Yu Tian, Yuxiao Chen, Yongfeng Zhang
HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention. ICLR (2023)
Jianchao Ji, Zelong Li, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Yongfeng Zhang
Efficient Non-Sampling Graph Neural Networks. Inf. 14 (8) (2023)
Xinyi Li, Yongfeng Zhang, Edward C. Malthouse
PBNR: Prompt-based News Recommender System. CoRR (2023)
Jianchao Ji, Zelong Li, Shuyuan Xu, Max Xiong, Juntao Tan, Yingqiang Ge, Hao Wang, Yongfeng Zhang
Counterfactual Collaborative Reasoning. CoRR (2023)
Yunqi Li, Yongfeng Zhang
Fairness of ChatGPT. CoRR (2023)
Wenyue Hua, Yingqiang Ge, Shuyuan Xu, Jianchao Ji, Yongfeng Zhang
UP5: Unbiased Foundation Model for Fairness-aware Recommendation. CoRR (2023)
Wenyue Hua, Lei Li, Shuyuan Xu, Li Chen, Yongfeng Zhang
Tutorial on Large Language Models for Recommendation. RecSys (2023)
Yingqiang Ge, Mostafa Rahmani, Athirai A. Irissappane, Jose Sepulveda, Fei Wang, James Caverlee, Yongfeng Zhang
Automated Data Denoising for Recommendation. CoRR (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yongfeng Zhang