| Visual domain adaptation with manifold embedded distribution alignment J Wang, W Feng, Y Chen, H Yu, M Huang, PS Yu Proceedings of the 26th ACM international conference on Multimedia, 402-410, 2018 | 705 | 2018 |
| Balanced distribution adaptation for transfer learning J Wang, Y Chen, S Hao, W Feng, Z Shen 2017 IEEE international conference on data mining (ICDM), 1129-1134, 2017 | 648 | 2017 |
| Transfer learning with dynamic distribution adaptation J Wang, Y Chen, W Feng, H Yu, M Huang, Q Yang ACM Transactions on Intelligent Systems and Technology (TIST) 11 (1), 1-25, 2020 | 289 | 2020 |
| Adarnn: Adaptive learning and forecasting of time series Y Du, J Wang, W Feng, S Pan, T Qin, R Xu, C Wang Proceedings of the 30th ACM international conference on information …, 2021 | 260 | 2021 |
| MonLAD: Money laundering agents detection in transaction streams X Sun, W Feng, S Liu, Y Xie, S Bhatia, B Hooi, W Wang, X Cheng Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 28 | 2022 |
| SpecGreedy: Unified Dense Subgraph Detection W Feng, S Liu, D Koutra, H Shen, X Cheng Joint European Conference on Machine Learning and Knowledge Discovery in …, 2020 | 17 | 2020 |
| Eigenpulse: Detecting surges in large streaming graphs with row augmentation J Zhang, S Liu, W Yu, W Feng, X Cheng Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019 | 10 | 2019 |
| Learning to match distributions for domain adaptation C Yu, J Wang, C Liu, T Qin, R Xu, W Feng, Y Chen, TY Liu arXiv preprint arXiv:2007.10791, 2020 | 9 | 2020 |
| Data-free diversity-based ensemble selection for one-shot federated learning in machine learning model market N Wang, W Feng, F Liu, M Duan, SK Ng arXiv preprint arXiv:2302.11751, 2023 | 8 | 2023 |
| Towards better graph representation learning with parameterized decomposition & filtering M Yang, W Feng, Y Shen, B Hooi International Conference on Machine Learning, 39234-39251, 2023 | 7 | 2023 |
| EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection W Feng, S Liu, C Faloutsos, B Hooi, H Shen, X Cheng Future Generation Computer Systems 115, 236-250, 2021 | 7 | 2021 |
| EasySpider: A no-code visual system for crawling the web N Wang, W Feng, J Yin, SK Ng Companion Proceedings of the ACM Web Conference 2023, 192-195, 2023 | 6 | 2023 |
| SemRoDe: Macro Adversarial Training to Learn Representations That are Robust to Word-Level Attacks B Formento, W Feng, CS Foo, LA Tuan, SK Ng 2024 North American Chapter of the Association for Computational Linguistics, 2024 | 5 | 2024 |
| Birds of a feather trust together: Knowing when to trust a classifier via adaptive neighborhood aggregation M Xiong, S Li, W Feng, A Deng, J Zhang, B Hooi Transactions on Machine Learning Research, 2022 | 5 | 2022 |
| CatchCore: Catching Hierarchical Dense Subtensor W Feng, S Liu, X Cheng Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 4 | 2019 |
| Beyond outliers and on to micro-clusters: Vision-guided Anomaly Detection W Feng, S Liu, C Faloutsos, B Hooi, H Shen, X Cheng Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019 | 4 | 2019 |
| Learning invariant representations across domains and tasks J Wang, W Feng, C Liu, C Yu, M Du, R Xu, T Qin, TY Liu arXiv preprint arXiv:2103.05114, 2021 | 3 | 2021 |
| One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity N Wang, Y Deng, W Feng, S Fan, J Yin, SK Ng ACM Multi-Media, 2024 | 2 | 2024 |
| Data-Free Diversity-Based Ensemble Selection for One-Shot Federated Learning N Wang, W Feng, M Duan, F Liu, SK Ng Transactions on Machine Learning Research, 2023 | 2 | 2023 |
| Can Graph Descriptive Order Affect Solving Graph Problems with LLMs? Y Ge, S Liu, B Bi, Y Wang, L Mei, W Feng, L Chen, X Cheng Authorea Preprints, 2024 | 1 | 2024 |
Jindong WangAssistant Professor, William & Mary; Ex Senior Researcher, Microsoft ResearchVerified email at wm.edu
