| 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 | 2178 | 2019 |
| 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 | 250 | 2021 |
| 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 | 249 | 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 | 243 | 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 | 169 | 2020 |
| Deep Modeling of Social Relations for Recommendation W Fan, Q Li, M Cheng AAAI'2018, Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 143 | 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 | 127 | 2020 |
| 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 | 120 | 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 | 117 | 2021 |
| 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 | 112 | 2022 |
| 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 | 103 | 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 | 86 | 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 | 77 | 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 | 69 | 2024 |
| 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 | 69 | 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 | 65 | 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 | 60 | 2021 |
| Knowledge-enhanced Black-box Attacks for Recommendations J Chen, W Fan, G Zhu, X Zhao, C Yuan, Q Li, Y Huang KDD'2022, arXiv preprint arXiv:2207.10307, 2022 | 48 | 2022 |
| 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 | 44 | 2022 |
| Fairness Reprogramming G Zhang, Y Zhang, Y Zhang, W Fan, Q Li, S Liu, S Chang NeurIPS'2022, arXiv preprint arXiv:2209.10222, 2022 | 39 | 2022 |
Jiliang TangUniversity Foundation Professor of Computer Science and Engineering, Michigan State UniversityVerified email at msu.edu
