| Reconboost: Boosting can achieve modality reconcilement C Hua, Q Xu, S Bao, Z Yang, Q Huang International Conference on Machine Learning, 2024 | 48 | 2024 |
| SHREC’22 track: Open-set 3D object retrieval Y Feng, Y Gao, X Zhao, Y Guo, N Bagewadi, NT Bui, H Dao, S Gangisetty, ... Computers & Graphics 107, 231-240, 2022 | 19 | 2022 |
| OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning C Hua, Q Xu, Z Yang, Z Wang, S Bao, Q Huang International Conference on Machine Learning, 2025 | 12 | 2025 |
| Hierarchical Set-to-Set Representation for 3-D Cross-Modal Retrieval C Hua, Y Jiang, Y Feng, Y Gao IEEE Transactions on Neural Networks and Learning Systems, 2023 | 12 | 2023 |
| Quantifying the Potential to Escape Filter Bubbles: A Behavior-Aware Measure via Contrastive Simulation D Feng, Q Xu, Z Wang, C Hua, Z Yang, Q Huang arXiv preprint arXiv:2512.03067, 2025 | | 2025 |
| TuckA: Hierarchical Compact Tensor Experts for Efficient Fine-Tuning Q Lei, Z Yang, Q Xu, C Hua, P Wen, Q Huang AAAI 26, 2025 | | 2025 |
Qingming HuangUniversity of the Chinese Academy of SciencesVerified email at ucas.ac.cn
