| 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 | 479 | 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 | 441 | 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 | 148 | 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 | 67 | 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 | 8 | 2022 |
| SpecGreedy: Unified Dense Subgraph Detection (Best Student DM paper) W Feng, S Liu, D Koutra, H Shen, X Cheng Joint European Conference on Machine Learning and Knowledge Discovery in …, 2020 | 8* | 2020 |
| 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 | 8 | 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 | 6 | 2019 |
| 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 | 5 | 2021 |
| 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 |
| 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 arXiv preprint arXiv:2211.16466, 2022 | 3 | 2022 |
| 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 | 2 | 2021 |
| CatchCore: Catching Hierarchical Dense Subtensor W Feng, S Liu, X Cheng Joint European Conference on Machine Learning and Knowledge Discovery in …, 2019 | 2 | 2019 |
| 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 | 1 | 2023 |
| Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering M Yang, W Feng, Y Shen, B Hooi arXiv preprint arXiv:2305.06102, 2023 | | 2023 |
| 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 | | 2023 |
| Hierarchical Dense Pattern Detection in Tensors W Feng, S Liu, X Cheng ACM Transactions on Knowledge Discovery from Data 17 (6), 1-29, 2023 | | 2023 |
| EagleMine: Vision-Guided Mining in Large Graphs W Feng, S Liu, C Faloutsos, B Hooi, H Shen, X Cheng Proceedings of the 5th International ODD Workshop on Outlier Detection De …, 2017 | | 2017 |
| Supplementary Material: Visual Domain Adaptation with Manifold Embedded Distribution Adaptation J Wang, W Feng, Y Chen, H Yu, M Huang, PS Yu | | |
Jindong Wang (王晋东)Microsoft Research AsiaVerified email at microsoft.com
