| Joint domain alignment and discriminative feature learning for unsupervised deep domain adaptation C Chen, Z Chen, B Jiang, X Jin AAAI Conference on Artificial Intelligence (AAAI), 2019 | 265 | 2019 |
| HoMM: Higher-order Moment Matching for Unsupervised Domain Adaptation C Chen, Z Fu, Z Chen, S Jin, Z Cheng, X Jin, XS Hua AAAI Conference on Artificial Intelligence (AAAI), 2020 | 221 | 2020 |
| Reliable weighted optimal transport for unsupervised domain adaptation R Xu, P Liu, L Wang, C Chen, J Wang Computer Vision and Pattern Recognition (CVPR), 2020 | 169 | 2020 |
| Selective Transfer with Reinforced Transfer Network for Partial Domain Adaptation Z Chen, C Chen, Z Cheng, K Fang, X Jin Computer Vision and Pattern Recognition (CVPR), 2019 | 78 | 2019 |
| INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection C Chen, K Liu, Z Chen, Y Gu, Y Wu, M Tao, Z Fu, J Ye International Conference on Learning Representations (ICLR), 2024 | 43 | 2024 |
| 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 (IEEE TBME), 2022 | 43 | 2022 |
| 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 (IEEE JBHI), 2021 | 36 | 2021 |
| 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 AAAI Conference on Artificial Intelligence (AAAI), 2019 | 34 | 2019 |
| Parameter transfer extreme learning machine based on projective model C Chen, B Jiang, X Jin International Joint Conference on Neural Networks (IJCNN), 2018 | 30 | 2018 |
| 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 (IEEE TVT), 2020 | 28 | 2020 |
| Robust and high-order correlation alignment for unsupervised domain adaptation Z Cheng, C Chen, Z Chen, K Fang, X Jin Neural Computing and Applications, 2021 | 23 | 2021 |
| 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, 2019 | 23 | 2019 |
| 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 | 19 | 2020 |
| Joint domain matching and classification for cross-domain adaptation via ELM C Chen, B Jiang, Z Cheng, X Jin Neurocomputing, 2019 | 17 | 2019 |
| Optimizing extreme learning machine via generalized hebbian learning and intrinsic plasticity learning C Chen, X Jin, B Jiang, L Li Neural Processing Letters, 2019 | 12 | 2019 |
| 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, 2020 | 10 | 2020 |
| Unsupervised domain adaptation with target reconstruction and label confusion in the common subspace B Jiang, C Chen, X Jin Neural Computing and Applications, 2018 | 9 | 2018 |
| 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, 2021 | 7 | 2021 |
| ROPO: Robust Preference Optimization for Large Language Models X Liang, C Chen, S Qiu, J Wang, Y Wu, Z Fu, Z Shi, F Wu, J Ye arXiv preprint arXiv:2404.04102, 2024 | 6* | 2024 |
| Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions K Liu, Z Fu, C Chen, S Jin, Z Chen, M Tao, R Jiang, J Ye Neural Information Processing Systems (NeurIPS), 2023 | 4 | 2023 |
Zhihong ChenAlibaba Group << Zhejiang University在 zju.edu.cn 的电子邮件经过验证
