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Journal Articles
- 2024
[j2]Haoang Chi
, Wenjing Yang, Feng Liu, Long Lan, Tao Qin, Bo Han:
Does Confusion Really Hurt Novel Class Discovery? Int. J. Comput. Vis. 132(8): 3191-3207 (2024)- 2021
- [j1]Haoang Chi, Shengang Li, Wenjing Yang, Long Lan:
A robust quadruple adaptation network in few-shot scenarios. Knowl. Based Syst. 232: 107506 (2021)
Conference and Workshop Papers
- 2024
- [c10]Zhipeng Lin, Wenjing Yang, Haotian Wang, Haoang Chi, Long Lan, Ji Wang:
Scaling Few-Shot Learning for the Open World. AAAI 2024: 13846-13854 - [c9]Zhipeng Lin, Wenjing Yang, Long Lan, Mingyang Geng, Haotian Wang, Haoang Chi, Xueqiong Li, Ji Wang:
Diversifying Cross-Domain Few-Shot Learning via Multimodal Image Editing. ICASSP 2024: 7375-7379 - 2023
- [c8]Haotian Wang, Haoang Chi, Wenjing Yang, Zhipeng Lin, Mingyang Geng, Long Lan, Jing Zhang, Dacheng Tao:
Domain Specified Optimization for Deployment Authorization. ICCV 2023: 5072-5082 - [c7]Ruijiang Dong, Feng Liu, Haoang Chi, Tongliang Liu, Mingming Gong, Gang Niu, Masashi Sugiyama, Bo Han:
Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation. ICML 2023: 8260-8275 - [c6]Haotian Wang, Kun Kuang, Haoang Chi, Longqi Yang, Mingyang Geng, Wanrong Huang, Wenjing Yang:
Treatment Effect Estimation with Adjustment Feature Selection. KDD 2023: 2290-2301 - 2022
- [c5]Chengming Zou, Ducheng Yuan, Long Lan, Haoang Chi:
Privacy-Preserving Action Recognition. ICASSP 2022: 2175-2179 - [c4]Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Bo Han, Gang Niu, Mingyuan Zhou, Masashi Sugiyama:
Meta Discovery: Learning to Discover Novel Classes given Very Limited Data. ICLR 2022 - 2021
- [c3]Runxuan Si, Shaowu Yang, Jing Zhao, Haoang Chi, Yuhua Tang:
Identity-Based Data Augmentation via Progressive Sampling for One-Shot Person Re-identification. ICONIP (4) 2021: 113-124 - [c2]Shengang Li, Haoang Chi, Tao Xie:
Multi-Agent Combat in Non-Stationary Environments. IJCNN 2021: 1-8 - [c1]Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Bo Han, William K. Cheung, James T. Kwok:
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation. NeurIPS 2021: 20970-20982
Informal and Other Publications
- 2024
- [i6]He Li, Haoang Chi, Mingyu Liu, Wenjing Yang:
Look Within, Why LLMs Hallucinate: A Causal Perspective. CoRR abs/2407.10153 (2024) - 2023
- [i5]Ruijiang Dong, Feng Liu, Haoang Chi, Tongliang Liu, Mingming Gong, Gang Niu, Masashi Sugiyama, Bo Han:
Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation. CoRR abs/2307.05948 (2023) - [i4]Songming Zhang, Yuxiao Luo, Qizhou Wang, Haoang Chi, Weikai Li, Bo Han, Jinyan Li:
Are All Unseen Data Out-of-Distribution? CoRR abs/2312.16243 (2023) - 2022
- [i3]Long Lan, Xiao Teng, Haoang Chi, Xiang Zhang:
Multi-scale Knowledge Distillation for Unsupervised Person Re-Identification. CoRR abs/2204.09931 (2022) - 2021
- [i2]Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Gang Niu, Bo Han:
Meta Discovery: Learning to Discover Novel Classes given Very Limited Data. CoRR abs/2102.04002 (2021) - [i1]Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Bo Han, William K. Cheung, James T. Kwok:
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation. CoRR abs/2106.06326 (2021)
Coauthor Index
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