| 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 | 1317 | 2019 |
| Weighted extreme learning machine for imbalance learning W Zong, GB Huang, Y Chen Neurocomputing 101, 229-242, 2013 | 683 | 2013 |
| 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 | 382 | 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 | 359 | 2013 |
| 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 | 346 | 2018 |
| 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 | 343 | 2006 |
| 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 | 339 | 2017 |
| 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 | 284 | 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 | 186 | 2011 |
| 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 | 153 | 2018 |
| 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 | 152 | 2004 |
| 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 | 149 | 2006 |
| 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, 2018 | 119 | 2018 |
| Building sparse multiple-kernel SVM classifiers M Hu, Y Chen, JTY Kwok IEEE Transactions on Neural Networks 20 (5), 827-839, 2009 | 119 | 2009 |
| A calibration-free localization solution for handling signal strength variance F Dong, Y Chen, J Liu, Q Ning, S Piao International Workshop on Mobile Entity Localization and Tracking in GPS …, 2009 | 111 | 2009 |
| Transition movement models for large vocabulary continuous sign language recognition W Gao, G Fang, D Zhao, Y Chen Sixth IEEE International Conference on Automatic Face and Gesture …, 2004 | 106 | 2004 |
| 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 | 105 | 2019 |
| SELM: Semi-supervised ELM with application in sparse calibrated location estimation J Liu, Y Chen, M Liu, Z Zhao Neurocomputing 74 (16), 2566-2572, 2011 | 96 | 2011 |
| 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 | 95 | 2019 |
| Semi-supervised deep extreme learning machine for Wi-Fi based localization Y Gu, Y Chen, J Liu, X Jiang Neurocomputing 166, 282-293, 2015 | 90 | 2015 |
Wen Gao（高文）Professor of Computer Science, Peking UniversityVerified email at pku.edu.cn
