Deep learning for sensor-based activity recognition: A survey J Wang, Y Chen, S Hao, X Peng, L Hu Pattern Recognition Letters, 2019 | 2042 | 2019 |
A survey on evaluation of large language models Y Chang, X Wang, J Wang, Y Wu, K Zhu, H Chen, L Yang, X Yi, C Wang, ... ACM Transactions on Intelligent Systems and Technology (TIST), 2024 | 945 | 2024 |
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 | 878 | 2022 |
FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare Y Chen, X Qin, J Wang, C Yu, W Gao IEEE Intelligent Systems, 2020 | 842 | 2020 |
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling B Zhang, Y Wang, W Hou, H Wu, J Wang, M Okumura, T Shinozaki NeurIPS 2021, 2021 | 756 | 2021 |
Deep subdomain adaptation network for image classification Y Zhu, F Zhuang, J Wang, G Ke, J Chen, J Bian, H Xiong, Q He IEEE transactions on neural networks and learning systems 32 (4), 1713-1722, 2020 | 724 | 2020 |
Visual Domain Adaptation with Manifold Embedded Distribution Alignment J Wang, W Feng, Y Chen, H Yu, M Huang, PS Yu ACM International Conference on Multimedia (ACMMM) 2018, 2018 | 646 | 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 | 599 | 2017 |
Transfer Learning with Dynamic Adversarial Adaptation Network C Yu, J Wang, Y Chen, M Huang IEEE International Conference on Data Mining (ICDM) 2019, 2019 | 317 | 2019 |
Stratified Transfer Learning for Cross-domain Activity Recognition J Wang, Y Chen, L Hu, X Peng, PS Yu IEEE International Conference on Pervasive Computing and Communications …, 2018 | 265 | 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 (ACM TIST) 11 (1), 1-25, 2020 | 256 | 2020 |
Freematch: Self-adaptive thresholding for semi-supervised learning Y Wang, H Chen, Q Heng, W Hou, M Savvides, T Shinozaki, B Raj, Z Wu, ... ICLR, 2023 | 215 | 2023 |
Multi-representation adaptation network for cross-domain image classification Y Zhu, F Zhuang, J Wang, J Chen, Z Shi, W Wu, Q He Neural Networks 119, 214-221, 2019 | 214 | 2019 |
AdaRNN: Adaptive Learning and Forecasting of Time Series Y Du, J Wang, W Feng, S Pan, T Qin, C Wang CIKM 2021, 2021 | 196 | 2021 |
On the robustness of chatgpt: An adversarial and out-of-distribution perspective J Wang, X Hu, W Hou, H Chen, R Zheng, Y Wang, L Yang, H Huang, ... ICLR 2023 workshop on reliable large model, 2023 | 183 | 2023 |
Easy Transfer Learning By Exploiting Intra-domain Structures J Wang, Y Chen, H Yu, M Huang, Q Yang The IEEE International Conference on Multimedia and Expo (ICME) 2019, 2019 | 170 | 2019 |
Promptbench: Towards evaluating the robustness of large language models on adversarial prompts K Zhu, J Wang, J Zhou, Z Wang, H Chen, Y Wang, L Yang, W Ye, Y Zhang, ... arXiv preprint arXiv:2306.04528, 2023 | 165 | 2023 |
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 | 159 | 2021 |
Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation R Xu, P Liu, L Wang, C Chen, J Wang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 158 | 2020 |
Deep Transfer Learning for Cross-domain Activity Recognition J Wang, VW Zheng, Y Chen, M Huang The 3rd International Conference on Crowd Science and Engineering (ICCSE) 2018, 2018 | 149 | 2018 |