| 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 | 971 | 2019 |
| Deep Modeling of Social Relations for Recommendation W Fan, Q Li, M Cheng AAAI'2018, Thirty-Second AAAI Conference on Artificial Intelligence, 2018 | 78 | 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 | 65 | 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 | 54 | 2019 |
| 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 | 53 | 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 | 49 | 2021 |
| 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 | 48 | 2020 |
| 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 | 47 | 2021 |
| 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 | 30 | 2021 |
| Epidemic Graph Convolutional Network T Derr, Y Ma, W Fan, X Liu, C Aggarwal, J Tang WSDM'2020, The 13th International Conference on Web Search and Data Mining …, 2020 | 27 | 2020 |
| 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 | 16 | 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 | 15 | 2022 |
| Global-and-local Aware Data Generation for the Class Imbalance Problem W Wang, S Wang, W Fan, Z Liu, J Tang SDM'2020, SIAM International Conference on Data Mining, 307-315, 2020 | 14 | 2020 |
| Jointly Attacking Graph Neural Network and its Explanations W Fan, W Jin, X Liu, H Xu, X Tang, S Wang, Q Li, J Tang, J Wang, ... ICDE'2023, arXiv preprint arXiv:2108.03388, 2023 | 10 | 2023 |
| Deep Adversarial Canonical Correlation Analysis W Fan, Y Ma, H Xu, X Liu, J Wang, Q Li, J Tang SDM'2020, SIAM International Conference on Data Mining, 352-360, 2020 | 10 | 2020 |
| Dual constraints and adversarial learning for fair recommenders H Liu, N Zhao, X Zhang, H Lin, L Yang, B Xu, Y Lin, W Fan Knowledge-Based Systems 239, 108058, 2022 | 8 | 2022 |
| SDenPeak: semi-supervised nonlinear clustering based on density and distance WQ Fan, CD Wang, JH Lai 2016 IEEE Second International Conference on Big Data Computing Service and …, 2016 | 8 | 2016 |
| Improving social recommendations with item relationships H Liu, H Lin, B Xu, L Yang, Y Lin, Y Chu, W Fan, N Zhao Neural Information Processing: 27th International Conference, ICONIP 2020 …, 2020 | 4 | 2020 |
| HDenDist: Nonlinear Hierarchical Clustering Based on Density and Min-distance WQ Fan, CD Wang, YW Chen, JH Lai 2015 IEEE Fifth International Conference on Big Data and Cloud Computing, 45-50, 2015 | 4 | 2015 |
| Category-aware Multi-relation Heterogeneous Graph Neural Networks for session-based recommendation H Xu, B Yang, X Liu, W Fan, Q Li Knowledge-Based Systems 251, 109246, 2022 | 3 | 2022 |
Jiliang TangUniversity Foundation Professor of Computer Science and Engineering, Michigan State UniversityVerified email at msu.edu
