| Diffusioninst: Diffusion model for instance segmentation Z Gu, H Chen, Z Xu ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 84 | 2024 |
| Multi-scale adaptive task attention network for few-shot learning H Chen, H Li, Y Li, C Chen International Conference on Pattern Recognition (ICPR), 4765-4771, 2022 | 40 | 2022 |
| Sparse spatial transformers for few-shot learning H Chen, H Li, Y Li, C Chen Science China Information Sciences 66 (11), 210102, 2023 | 38 | 2023 |
| Diffute: Universal text editing diffusion model H Chen, Z Xu, Z Gu, Y Li, C Meng, H Zhu, W Wang Advances in Neural Information Processing Systems (NeurIPS) 36, 2024 | 32 | 2024 |
| Multi-level metric learning for few-shot image recognition H Chen, H Li, Y Li, C Chen International conference on artificial neural networks (ICANN), 243-254, 2022 | 31 | 2022 |
| Hierarchical Dynamic Image Harmonization H Chen, Z Gu, Y Li, J Lan, C Meng, W Wang, H Li ACM International Conference on Multimedia (ACM MM, Oral), 2023 | 27 | 2023 |
| Transductive aesthetic preference propagation for personalized image aesthetics assessment Y Li, Y Yang, H Li, H Chen, L Xu, L Li, Y Li, Y Guo ACM International Conference on Multimedia (ACM MM), 896-904, 2022 | 18 | 2022 |
| Demamba: Ai-generated video detection on million-scale genvideo benchmark H Chen, Y Hong, Z Huang, Z Xu, Z Gu, Y Li, J Lan, H Zhu, J Zhang, ... arXiv preprint arXiv:2405.19707, 2024 | 14 | 2024 |
| Model-Aware Contrastive Learning: Towards Escaping the Dilemmas Z Huang, H Chen*, Z Wen, C Zhang, H Li, B Wang, C Chen International Conference on Machine Learning (ICML), 2023 | 12 | 2023 |
| Hierarchical representation based query-specific prototypical network for few-shot image classification Y Li, H Li, H Chen, C Chen arXiv preprint arXiv:2103.11384, 2021 | 11 | 2021 |
| WildFake: A Large-scale Challenging Dataset for AI-Generated Images Detection Y Hong, J Feng, H Chen, J Lan, H Zhu, W Wang, J Zhang AAAI Conference on Artificial Intelligence (AAAI, Oral), 2025 | 10 | 2025 |
| Shaping visual representations with attributes for few-shot recognition H Chen, H Li, Y Li, C Chen IEEE Signal Processing Letters 29, 1397-1401, 2022 | 9* | 2022 |
| Mobile User Interface Element Detection Via Adaptively Prompt Tuning Z Gu, Z Xu, H Chen, J Lan, C Meng, W Wang IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2023 | 8 | 2023 |
| Boosting Audio-visual Zero-shot Learning with Large Language Models H Chen, Y Li, Y Hong, Z Huang, Z Xu, Z Gu, J Lan, H Zhu, W Wang arXiv preprint arXiv:2311.12268, 2023 | 4 | 2023 |
| ComFusion: Enhancing Personalized Generation by Instance-Scene Compositing and Fusion Y Hong, Y Duan, B Zhang, H Chen, J Lan, H Zhu, W Wang, J Zhang European Conference on Computer Vision (ECCV), 1-18, 2025 | 3* | 2025 |
| Conditional prototype rectification prompt learning H Chen, Y Li, Z Huang, Y Hong, Z Xu, Z Gu, J Lan, H Zhu, W Wang arXiv preprint arXiv:2404.09872, 2024 | 3 | 2024 |
| Learning latent disentangled embeddings and graphs for multi-view clustering C Zhang, H Chen, H Li, C Chen Pattern Recognition 156, 110839, 2024 | 2 | 2024 |
| Dual-adapter: Training-free dual adaptation for few-shot out-of-distribution detection X Chen, Y Li, H Chen arXiv preprint arXiv:2405.16146, 2024 | 2 | 2024 |
| Stochastic Layer-Wise Shuffle: A Good Practice to Improve Vision Mamba Training Z Huang, H Chen, J Li, J Lan, H Zhu, W Wang, L Wang arXiv preprint arXiv:2408.17081, 2024 | 1 | 2024 |
| The devil is in the few shots: Iterative visual knowledge completion for few-shot learning Y Li, Q Zhou, H Chen, J Zhang, X Dai, H Zhou arXiv preprint arXiv:2404.09778, 2024 | 1 | 2024 |
Yaohui LiPhd in Computer Science, Nanjing UniversityПодтвержден адрес электронной почты в домене smail.nju.edu.cn
