| Deep learning for sensor-based activity recognition: A survey J Wang, Y Chen, S Hao, X Peng, L Hu Pattern recognition letters 119, 3-11, 2019 | 2006 | 2019 |
| Generalizing to unseen domains: A survey on domain generalization J Wang, C Lan, C Liu, Y Ouyang, T Qin, W Lu, Y Chen, W Zeng, SY Philip IEEE transactions on knowledge and data engineering 35 (8), 8052-8072, 2022 | 835 | 2022 |
| Weighted extreme learning machine for imbalance learning W Zong, GB Huang, Y Chen Neurocomputing 101, 229-242, 2013 | 827 | 2013 |
| Fedhealth: A federated transfer learning framework for wearable healthcare Y Chen, X Qin, J Wang, C Yu, W Gao IEEE Intelligent Systems 35 (4), 83-93, 2020 | 817 | 2020 |
| 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 | 638 | 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 | 589 | 2017 |
| Extreme learning machines [trends & controversies] E Cambria, GB Huang, LLC Kasun, H Zhou, CM Vong, J Lin, J Yin, Z Cai, ... IEEE intelligent systems 28 (6), 30-59, 2013 | 448 | 2013 |
| Unobtrusive sleep monitoring using smartphones Z Chen, M Lin, F Chen, ND Lane, G Cardone, R Wang, T Li, Y Chen, ... 2013 7th International Conference on Pervasive Computing Technologies for …, 2013 | 431 | 2013 |
| Power-efficient access-point selection for indoor location estimation Y Chen, Q Yang, J Yin, X Chai IEEE Transactions on Knowledge and Data Engineering 18 (7), 877-888, 2006 | 358 | 2006 |
| Transfer learning with dynamic adversarial adaptation network C Yu, J Wang, Y Chen, M Huang 2019 IEEE international conference on data mining (ICDM), 778-786, 2019 | 309 | 2019 |
| A pervasive approach to EEG‐based depression detection H Cai, J Han, Y Chen, X Sha, Z Wang, B Hu, J Yang, L Feng, Z Ding, ... Complexity 2018 (1), 5238028, 2018 | 267 | 2018 |
| Stratified transfer learning for cross-domain activity recognition J Wang, Y Chen, L Hu, X Peng, SY Philip 2018 IEEE international conference on pervasive computing and communications …, 2018 | 260 | 2018 |
| 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 | 252 | 2020 |
| Cross-people mobile-phone based activity recognition Z Zhao, Y Chen, J Liu, Z Shen, M Liu Proceedings of the Twenty-Second international joint conference on …, 2011 | 214 | 2011 |
| A Chinese sign language recognition system based on SOFM/SRN/HMM W Gao, G Fang, D Zhao, Y Chen Pattern Recognition 37 (12), 2389-2402, 2004 | 187 | 2004 |
| Easy transfer learning by exploiting intra-domain structures J Wang, Y Chen, H Yu, M Huang, Q Yang 2019 IEEE international conference on multimedia and expo (ICME), 1210-1215, 2019 | 170 | 2019 |
| Multidimensional vector regression for accurate and low-cost location estimation in pervasive computing JJ Pan, JT Kwok, Q Yang, Y Chen IEEE Transactions on Knowledge and Data Engineering 18 (9), 1181-1193, 2006 | 153 | 2006 |
| Unsupervised deep anomaly detection for multi-sensor time-series signals Y Zhang, Y Chen, J Wang, Z Pan IEEE Transactions on Knowledge and Data Engineering 35 (2), 2118-2132, 2021 | 151 | 2021 |
| Deep transfer learning for cross-domain activity recognition J Wang, VW Zheng, Y Chen, M Huang proceedings of the 3rd International Conference on Crowd Science and …, 2018 | 146 | 2018 |
| Building sparse multiple-kernel SVM classifiers M Hu, Y Chen, JTY Kwok IEEE Transactions on Neural Networks 20 (5), 827-839, 2009 | 134 | 2009 |
Jindong WangMicrosoft Research Asia在 microsoft.com 的电子邮件经过验证
