Yongfeng Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 269

Top Venues

Aberystwyth University, UK (PHD)

Education History

Aberystwyth University, UK

PHD

Publications

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)
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)
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)
Guo Lin, Wenyue Hua, Yongfeng Zhang
PromptCrypt: Prompt Encryption for Secure Communication with Large Language Models. 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)
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, 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)
Wenyue Hua, Xianjun Yang, Zelong Li, Wei Cheng, Yongfeng Zhang
TrustAgent: Towards Safe and Trustworthy LLM-based Agents through Agent Constitution. 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)
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)
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)
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)
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)
Yan Huang, Yongfeng Zhang
Design of Healthcare Lighting in Medical Centers Based on Power Carrier Communication. Int. J. Inf. Technol. Syst. Approach 16 (3) (2023)
Yingqiang Ge, Wenyue Hua, Kai Mei, Jianchao Ji, Juntao Tan, Shuyuan Xu, Zelong Li, Yongfeng Zhang
OpenAGI: When LLM Meets Domain Experts. NeurIPS (2023)
Yupeng Zhang, Yannan Zhai, Hui Zhang, Zhaoxin Wang, Yongfeng Zhang, Ruiliang Xu, Shengping Ruan, Jingran Zhou
A High-Performance UVA Photodetector Based on Polycrystalline Perovskite MAPbCl3/TiO2 Nanorods Heterojunctions. Sensors 23 (15) (2023)
Xinyi Li, Yongfeng Zhang, Edward C. Malthouse
A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, and Fake News. INRA@RecSys (2023)
Shuyuan Xu, Juntao Tan, Shelby Heinecke, Vena Jia Li, Yongfeng Zhang
Deconfounded Causal Collaborative Filtering. Trans. Recomm. Syst. 1 (4) (2023)
Lizhou Fan, Wenyue Hua, Lingyao Li, Haoyang Ling, Yongfeng Zhang
NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes. CoRR (2023)
Zohreh Ovaisi, Shelby Heinecke, Jia Li, Yongfeng Zhang, Elena Zheleva, Caiming Xiong
RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems. CoRR (2022)
Yingqiang Ge, Xiaoting Zhao, Lucia Yu, Saurabh Paul, Diane Hu, Chu-Cheng Hsieh, Yongfeng Zhang
Toward Pareto Efficient Fairness-Utility Trade-off inRecommendation through Reinforcement Learning. CoRR (2022)
Wenyue Hua, Yongfeng Zhang
System 1 + System 2 = Better World: Neural-Symbolic Chain of Logic Reasoning. EMNLP (Findings) (2022)
Juntao Tan, Shijie Geng, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Yunqi Li, Yongfeng Zhang
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning. CoRR (2022)
Lei Li, Yongfeng Zhang, Li Chen
Personalized Prompt Learning for Explainable Recommendation. CoRR (2022)
Shuyuan Xu, Da Xu, Evren Körpeoglu, Sushant Kumar, Stephen Guo, Kannan Achan, Yongfeng Zhang
Causal Structure Learning with Recommendation System. CoRR (2022)
Yanbo Fang, Yongfeng Zhang
Data-Efficient Concept Extraction from Pre-trained Language Models for Commonsense Explanation Generation. EMNLP (Findings) (2022)
Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5). RecSys (2022)
Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Zhenhua Huang, Hongshik Ahn, Gabriele Tolomei
GREASE: Generate Factual and Counterfactual Explanations for GNN-based Recommendations. CoRR (2022)
Shijie Geng, Zuohui Fu, Yingqiang Ge, Lei Li, Gerard de Melo, Yongfeng Zhang
Improving Personalized Explanation Generation through Visualization. ACL (1) (2022)
Bingbing Wen, Yunhe Feng, Yongfeng Zhang, Chirag Shah
Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems. CoRR (2022)
Hanxiong Chen, Yunqi Li, He Zhu, Yongfeng Zhang
Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS). CIKM (2022)
Luyang Liu, Heyan Huang, Yang Gao, Yongfeng Zhang
Improving neural topic modeling via Sinkhorn divergence. Inf. Process. Manag. 59 (3) (2022)
Yujia Fan, Yongfeng Zhang
Neural Logic Analogy Learning. CoRR (2022)
Hanxiong Chen, Yunqi Li, He Zhu, Yongfeng Zhang
Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS). CoRR (2022)
Yongfeng Zhang, Shuling Hu, Gongliu Yang, Xiaojun Zhou, Hongwu Liu
An Improved Online Self-Calibration Method Utilizing Angular Velocity Observation for Ultra High Accuracy PIGA-Based IMU. Sensors 22 (21) (2022)
Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5). CoRR (2022)
Shuyuan Xu, Juntao Tan, Zuohui Fu, Jianchao Ji, Shelby Heinecke, Yongfeng Zhang
Dynamic Causal Collaborative Filtering. CIKM (2022)
Shuyuan Xu, Juntao Tan, Zuohui Fu, Jianchao Ji, Shelby Heinecke, Yongfeng Zhang
Dynamic Causal Collaborative Filtering. CoRR (2022)
Hanxiong Chen, Yunqi Li, Shaoyun Shi, Shuchang Liu, He Zhu, Yongfeng Zhang
Graph Collaborative Reasoning. WSDM (2022)
Yunqi Li, Hanxiong Chen, Juntao Tan, Yongfeng Zhang
Causal factorization machine for robust recommendation. JCDL (2022)
Zelong Li, Jianchao Ji, Yingqiang Ge, Yongfeng Zhang
AutoLossGen: Automatic Loss Function Generation for Recommender Systems. SIGIR (2022)
Hongwu Liu, Shuling Hu, Qingzhong Cai, Yongfeng Zhang, Kun Zhang
Backstepping Terminal Sliding Mode Control of FOG Inertial Platform Stability Loop Based on Extended State Observer. CRC (2022)
Wenyue Hua, Lifeng Jin, Linfeng Song, Haitao Mi, Yongfeng Zhang, Dong Yu
Discover, Explanation, Improvement: Automatic Slice Detection Framework for Natural Language Processing. CoRR (2022)
Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Shuchang Liu, Yongfeng Zhang
Fairness in Recommendation: A Survey. CoRR (2022)
Xu Chen, Yongfeng Zhang, Ji-Rong Wen
Measuring "Why" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation. CoRR (2022)
Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang
Explainable Fairness in Recommendation. CoRR (2022)
Zelong Li, Jianchao Ji, Yingqiang Ge, Yongfeng Zhang
AutoLossGen: Automatic Loss Function Generation for Recommender Systems. CoRR (2022)
Bingbing Wen, Yunhe Feng, Yongfeng Zhang, Chirag Shah
ExpScore: Learning Metrics for Recommendation Explanation. WWW (2022)
Shuchang Liu, Yingqiang Ge, Shuyuan Xu, Yongfeng Zhang, Amélie Marian
Fairness-aware Federated Matrix Factorization. RecSys (2022)
Juntao Tan, Shijie Geng, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Yunqi Li, Yongfeng Zhang
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning. WWW (2022)
Zohreh Ovaisi, Shelby Heinecke, Jia Li, Yongfeng Zhang, Elena Zheleva, Caiming Xiong
RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems. WSDM (2022)
Yingqiang Ge, Xiaoting Zhao, Lucia Yu, Saurabh Paul, Diane Hu, Chu-Cheng Hsieh, Yongfeng Zhang
Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning. WSDM (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yongfeng Zhang