| Joint domain alignment and discriminative feature learning for unsupervised deep domain adaptation C Chen, Z Chen, B Jiang, X Jin Proceedings of the AAAI conference on artificial intelligence 33 (01), 3296-3303, 2019 | 177 | 2019 |
| HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation C Chen, Z Fu, Z Chen, S Jin, Z Cheng, X Jin, XS Hua Proceedings of the AAAI Conference on Artificial Intelligence 34, 2020 | 90 | 2020 |
| 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 | 77 | 2020 |
| Selective Transfer with Reinforced Transfer Network for Partial Domain Adaptation Z Chen, C Chen, Z Cheng, K Fang, X Jin The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020, 2019 | 51 | 2019 |
| Parameter transfer extreme learning machine based on projective model C Chen, B Jiang, X Jin 2018 International joint conference on neural networks (IJCNN), 1-8, 2018 | 21 | 2018 |
| SSAH: Semi-supervised Adversarial Deep Hashing with Self-paced Hard Sample Generation S Jin, S Zhou, Y Liu, C Chen, X Sun, H Yao, X Hua Proceedings of the AAAI Conference on Artificial Intelligence 34, 2019 | 19 | 2019 |
| Deep joint two-stream Wasserstein auto-encoder and selective attention alignment for unsupervised domain adaptation Z Chen, C Chen, X Jin, Y Liu, Z Cheng Neural Computing and Applications, 1-14, 2019 | 18 | 2019 |
| Joint domain matching and classification for cross-domain adaptation via ELM C Chen, B Jiang, Z Cheng, X Jin Neurocomputing 349, 314-325, 2019 | 14 | 2019 |
| Attention-guided discriminative region localization and label distribution learning for bone age assessment C Chen, Z Chen, X Jin, L Li, W Speier, CW Arnold IEEE Journal of Biomedical and Health Informatics 26 (3), 1208-1218, 2021 | 13 | 2021 |
| Towards anti-interference human activity recognition based on WiFi subcarrier correlation selection J Huang, B Liu, C Chen, H Jin, Z Liu, C Zhang, N Yu IEEE Transactions on Vehicular Technology 69 (6), 6739-6754, 2020 | 11 | 2020 |
| Synthesizing MR image contrast enhancement using 3D high-resolution ConvNets C Chen, C Raymond, W Speier, X Jin, TF Cloughesy, D Enzmann, ... IEEE Transactions on Biomedical Engineering, 2022 | 10 | 2022 |
| Robust and high-order correlation alignment for unsupervised domain adaptation Z Cheng, C Chen, Z Chen, K Fang, X Jin Neural Computing and Applications 33, 6891-6903, 2021 | 8 | 2021 |
| Optimizing extreme learning machine via generalized hebbian learning and intrinsic plasticity learning C Chen, X Jin, B Jiang, L Li Neural Processing Letters 49, 1593-1609, 2019 | 8 | 2019 |
| Unsupervised domain adaptation with target reconstruction and label confusion in the common subspace B Jiang, C Chen, X Jin Neural Computing and Applications, 1-14, 2018 | 8 | 2018 |
| Towards anti-interference WiFi-based activity recognition system using interference-independent phase component J Huang, B Liu, P Liu, C Chen, N Xiao, Y Wu, C Zhang, N Yu IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 576-585, 2020 | 7 | 2020 |
| Deep dual-stream network with scale context selection attention module for semantic segmentation Y Liu, C Xu, Z Chen, C Chen, H Zhao, X Jin Neural Processing Letters 51, 2281-2299, 2020 | 7 | 2020 |
| Towards self-similarity consistency and feature discrimination for unsupervised domain adaptation C Chen, Z Fu, Z Chen, Z Cheng, X Jin Signal Processing: Image Communication 94, 116232, 2021 | 6 | 2021 |
| A sensorless adaptive optics control system for microscopy based on extreme learning machine Y Jin, Z Cheng, Z Chen, C Chen, X Jin, B Sun 2020 IEEE 6th International Conference on Control Science and Systems …, 2020 | 2 | 2020 |
| Class-level adaptation network with self training for unsupervised domain adaptation Y Jin, Z Chen, Z Cheng, C Chen, X Jin, B Sun Proceedings of the 6th IEEE/ACM International Conference on Big Data …, 2019 | 1 | 2019 |
Zhihong ChenAlibaba Group << Zhejiang UniversityVerified email at zju.edu.cn
