About Me
I am a second-year Ph.D. student at HKUST, advised by Prof. Xiaomeng Li. Before that, I was advised by Prof. Haoji Hu and Prof. Zuozhu Liu at Zhejiang University (Hangzhou, China), and received my M.S. degree in 2022.
I am interested in various topics in computer vision and medical imaging processing.
Recent News
- 2023/09: Two co-author papers on long-tailed open-world classification and long-tailed federated learning were accepted by NeurIPS'23.
- 2023/07: One co-author paper was accepted by DeCaF-MICCAI'23.
- 2023/06: One paper about CLIP-driven zero-shot OOD detection was accepted by ICCV'23.
- 2023/01: One co-author paper was accepted by ICLR'23.
- 2022/08: Join Prof. Li's lab at HKUST to pursue my Ph.D. degree.
- 2022/07: One paper was accepted by ECCV'22 as oral presentation (2.7% acceptance rate).
- 2022/06: Graduate with M.S. degree from Zhejiang University, Hangzhou, China.
- 2021/12: One paper was accepted by AAAI'22.
- 2021/05: Start internship at DAMO Academy, Alibaba (Hangzhou, China).
- 2020/12: Start internship at SenseTime (Hangzhou, China).
Publications
 | Jianhong Bai, Zuozhu Liu, Hualiang Wang, et al. "Towards Distribution-Agnostic Generalized Category Discovery". In NIPS 2023 Arxiv Code |
 | Yi Li, Hualiang Wang, Yiqun Duan and Xiaomeng Li. "Clip surgery for better explainability with enhancement in open-vocabulary tasks". Preprint 2023 Arxiv Code |
 | Hualiang Wang, Yi Li, Huifeng Yao and Xiaomeng Li. "CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No". In ICCV 2023 Arxiv Code |
 | Marawan Elbatel, Hualiang Wang, Robert Martí, Huazhu Fu and Xiaomeng Li "Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification". In DeCaF-MICCAI 2023 Arxiv Code |
 | Jianhong Bai, Zuozhu Liu, Hualiang Wang, Jin Hao, Yang Feng, Huanpeng Chu and Haoji Hu. "On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning". In ICLR 2023 Arxiv Code |
 | Hualiang Wang, Siming Fu, Xiaoxuan He, et al. "Towards Calibrated Hyper-sphere Representation via Distribution Overlap Coefficient for Long-tailed Learning". In ECCV 2022 (Oral). Arxiv Code |
 | Hualiang Wang, Huanpeng Chu, Siming Fu, et al. "Renovate Yourself: Calibrating Feature Representation of Misclassified Pixels for Semantic Segmentation". In AAAI 2022 Camera Ready Code |
