Wenqi FAN

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Jiliang TangUniversity Foundation Professor of Computer Science and Engineering, Michigan State UniversityVerified email at msu.edu
Yao MaAssistant Professor of Computer Science, Rensselaer Polytechnic InstituteVerified email at rpi.edu
Dawei YinSenior Director, Head of Search Science at BaiduVerified email at baidu.com
Xiaorui LiuAssistant Professor of Computer Science, North Carolina State UniversityVerified email at ncsu.edu
Jianping WangFellow of IEEE, Fellow of AAIA, Chair Professor, City University of Hong KongVerified email at cityu.edu.hk
Haochen LiuFidelity Investments, AI Center of ExcellenceVerified email at msu.edu
Yiqi WangMichigan State UniversityVerified email at msu.edu
Wei JinAssistant Professor, Emory UniversityVerified email at emory.edu
Tyler DerrVanderbilt UniversityVerified email at vanderbilt.edu
Yujuan DingThe Hong Kong Polytechnic UniversityVerified email at connect.polyu.hk
Han XuAssistant Professor, University of ArizonaVerified email at arizona.edu
Anil K. JainMichigan State UniversityVerified email at cse.msu.edu
Xiangyu ZhaoAssistant Professor, City University of Hong KongVerified email at cityu.edu.hk
Jiahao ZhangThe Pennsylvania State UniversityVerified email at connect.polyu.hk
Suhang WangPennsylvania State UniversityVerified email at psu.edu
Jamell DaconAssistant Professor, Morgan State UniversityVerified email at morgan.edu
Chang-Dong WangIEEE Senior Member and CCF Distinguished Member, Sun Yat-sen UniversityVerified email at mail.sysu.edu.cn
Qing LiChair Professor (Data Science), the Hong Kong Polytechnic UniversityVerified email at comp.polyu.edu.hk

Wenqi FAN

Assistant Professor, The Hong Kong Polytechnic University (PolyU)

Verified email at polyu.edu.hk - Homepage

Recommender Systems Large Language Models (LLM)Trustworthy AI Graph Neural Networks Data Mining


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Graph Neural Networks for Social Recommendation W Fan, Y Ma, Q Li, Y He, E Zhao, J Tang, D Yin WWW'2019, The World Wide Web Conference, 417-426, 2019	2366	2019
Recommender Systems in the Era of Large Language Models (LLMs) Z Zhao, W Fan, J Li, Y Liu, X Mei, Y Wang, Z Wen, F Wang, X Zhao, ... IEEE TKDE 2024,arXiv preprint arXiv:2307.02046, 2024	335*	2024
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs Z Chen, H Mao, H Li, W Jin, H Wen, X Wei, S Wang, D Yin, W Fan, H Liu, ... ACM SIGKDD Explorations Newsletter 25 (2), 42-61, 2024	316	2024
Trustworthy AI: A Computational Perspective H Liu, Y Wang, W Fan, X Liu, Y Li, S Jain, Y Liu, AK Jain, J Tang ACM TIST, arXiv preprint arXiv:2107.06641, 2021	288	2021
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models W Fan, Y Ding, L Ning, S Wang, H Li, D Yin, TS Chua, Q Li KDD 2024, arXiv preprint arXiv:2405.06211, 2024	256	2024
A Graph Neural Network Framework for Social Recommendations W Fan, Y Ma, Q Li, J Wang, G Cai, J Tang, D Yin TKDE'2020, IEEE Transactions on Knowledge and Data Engineering, 1-1, 2020	195	2020
Deep Modeling of Social Relations for Recommendation W Fan, Q Li, M Cheng AAAI'2018, Thirty-Second AAAI Conference on Artificial Intelligence, 2018	147	2018
Does Gender Matter? Towards Fairness in Dialogue Systems H Liu, J Dacon, W Fan, H Liu, Z Liu, J Tang COLING'2020, Proceedings of the 28th International Conference on …, 2020	132	2020
Graph Trend Filtering Networks for Recommendation W Fan, X Liu, W Jin, X Zhao, J Tang, Q Li SIGIR'2022, The 45th International ACM SIGIR Conference on Research and …, 2022	124	2022
Deep Social Collaborative Filtering W Fan, Y Ma, D Yin, J Wang, J Tang, Q Li RecSys'2019, Proceedings of the 13th ACM Conference on Recommender Systems …, 2019	122	2019
Autoemb: Automated Embedding Dimensionality Search in Streaming Recommendations X Zhao, H Liu, W Fan, H Liu, J Tang, C Wang, M Chen, X Zheng, X Liu, ... ICDM'2021, IEEE International Conference on Data Mining, 896-905, 2021	121	2021
Empowering molecule discovery for molecule-caption translation with large language models: A chatgpt perspective J Li, Y Liu, W Fan, XY Wei, H Liu, J Tang, Q Li IEEE transactions on knowledge and data engineering, 2024	95	2024
Deep Adversarial Social Recommendation W Fan, T Derr, Y Ma, J Wang, J Tang, Q Li IJCAI'2019, International Joint Conference on Artificial Intelligence, 2019	91	2019
Attacking Black-box Recommendations via Copying Cross-domain User Profiles W Fan, T Derr, X Zhao, Y Ma, H Liu, J Wang, J Tang, Q Li ICDE'2021, 37th IEEE International Conference on Data Engineering, 2021	81	2021
Disentangled Contrastive Learning for Social Recommendation J Wu, W Fan, J Chen, S Liu, Q Li, K Tang CIKM'2022, arXiv preprint arXiv:2208.08723, 2022	78	2022
Generative Diffusion Models on Graphs: Methods and Applications C Liu, W Fan, Y Liu, J Li, H Li, H Liu, J Tang, Q Li IJCAI 2023, arXiv preprint arXiv:2302.02591, 2023	75	2023
AutoLoss: Automated Loss Function Search in Recommendations X Zhao, H Liu, W Fan, H Liu, J Tang, C Wang KDD'2021, 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 1-9, 2021	64	2021
Fairness Reprogramming G Zhang, Y Zhang, Y Zhang, W Fan, Q Li, S Liu, S Chang NeurIPS'2022, arXiv preprint arXiv:2209.10222, 2022	57	2022
Linrec: Linear attention mechanism for long-term sequential recommender systems L Liu, L Cai, C Zhang, X Zhao, J Gao, W Wang, Y Lv, W Fan, Y Wang, ... Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023	53	2023
A Comprehensive Survey on Trustworthy Recommender Systems W Fan, X Zhao, X Chen, J Su, J Gao, L Wang, Q Liu, Y Wang, H Xu, ... arXiv preprint arXiv:2209.10117, 2022	52	2022

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