| 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 (04), 3422-3429, 2020 | 222 | 2020 |
| Slv: Spatial likelihood voting for weakly supervised object detection Z Chen, Z Fu, R Jiang, Y Chen, XS Hua Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 92 | 2020 |
| Foreground gating and background refining network for surveillance object detection Z Fu, Y Chen, H Yong, R Jiang, L Zhang, XS Hua IEEE Transactions on Image Processing 28 (12), 6077-6090, 2019 | 84 | 2019 |
| Deep siamese network with multi-level similarity perception for person re-identification C Shen, Z Jin, Y Zhao, Z Fu, R Jiang, Y Chen, XS Hua Proceedings of the 25th ACM international conference on Multimedia, 1942-1950, 2017 | 62 | 2017 |
| City brain: practice of large-scale artificial intelligence in the real world J Zhang, XS Hua, J Huang, X Shen, J Chen, Q Zhou, Z Fu, Y Zhao IET Smart Cities 1 (1), 28-37, 2019 | 54 | 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 arXiv preprint arXiv:2402.03744, 2024 | 43 | 2024 |
| Previewer for Multi-Scale Object Detector Z Fu, Z Jin, GJ Qi, C Shen, R Jiang, Y Chen, XS Hua 2018 ACM Multimedia Conference on Multimedia Conference, 265-273, 2018 | 16 | 2018 |
| Uncertainty-aware unsupervised multi-object tracking K Liu, S Jin, Z Fu, Z Chen, R Jiang, J Ye Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 10 | 2023 |
| 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 | 7 | 2021 |
| Spatial likelihood voting with self-knowledge distillation for weakly supervised object detection Z Chen, Z Fu, J Huang, M Tao, R Jiang, X Tian, Y Chen, XS Hua Image and Vision Computing 116, 104314, 2021 | 5 | 2021 |
| See extensively while focusing on the core area for pedestrian detection Z Fu, Y Chen, R Jiang IEEE Access 7, 27017-27025, 2019 | 5 | 2019 |
| Foreground gated network for surveillance object detection Z Fu, C Zhou, H Yong, R Jiang, X Tian, Y Chen, XS Hua 2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM), 1-7, 2018 | 5 | 2018 |
| Robust preference optimization with provable noise tolerance for llms X Liang, C Chen, J Wang, Y Wu, Z Fu, Z Shi, F Wu, J Ye arXiv preprint arXiv:2404.04102, 2024 | 4 | 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 Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
| ESOD: Efficient Small Object Detection on High-Resolution Images K Liu, Z Fu, S Jin, Z Chen, F Zhou, R Jiang, Y Chen, J Ye IEEE Transactions on Image Processing, 2024 | 2 | 2024 |
| Optimal parameter and neuron pruning for out-of-distribution detection C Chen, Z Fu, K Liu, Z Chen, M Tao, J Ye Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Dynamic supervisor for cross-dataset object detection Z Chen, Z Fu, J Huang, M Tao, S Li, R Jiang, X Tian, Y Chen, XS Hua Neurocomputing 469, 310-320, 2022 | 1 | 2022 |
| Delving into the Reversal Curse: How Far Can Large Language Models Generalize? Z Lin, Z Fu, K Liu, L Xie, B Lin, W Wang, D Cai, Y Wu, J Ye arXiv preprint arXiv:2410.18808, 2024 | | 2024 |
| Structure-aware Domain Knowledge Injection for Large Language Models K Liu, Z Chen, Z Fu, R Jiang, F Zhou, Y Chen, Y Wu, J Ye arXiv preprint arXiv:2407.16724, 2024 | | 2024 |
| Enhancing LLM's Cognition via Structurization K Liu, Z Fu, C Chen, W Zhang, R Jiang, F Zhou, Y Chen, Y Wu, J Ye arXiv preprint arXiv:2407.16434, 2024 | | 2024 |
Xian-Sheng Hua (华先胜)(IEEE Fellow)Terminus Group在 tslsmart.com 的电子邮件经过验证
