Identity-Based Data Augmentation via Progressive Sampling for One-Shot Person Re-identification. - Runxuan Si; Shaowu Yang; Jing Zhao; Haoang Chi; Yuhua Tang (ICONIP (4), 2021)

Multi-Agent Combat in Non-Stationary Environments. - Shengang Li; Haoang Chi; Tao Xie (IJCNN, 2021)

TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation. - Haoang Chi; Feng Liu 003; Wenjing Yang 002; Long Lan; Tongliang Liu; Bo Han 003; William K. Cheung 001; James T. Kwok (NeurIPS, 2021)

Meta Discovery: Learning to Discover Novel Classes given Very Limited Data. - Haoang Chi; Feng Liu 003; Wenjing Yang 002; Long Lan; Tongliang Liu; Gang Niu 001; Bo Han 003 (CoRR, 2021)

A robust quadruple adaptation network in few-shot scenarios. - Haoang Chi; Shengang Li; Wenjing Yang 002; Long Lan (Knowl. Based Syst., 2021)

Privacy-Preserving Action Recognition. - Chengming Zou; Ducheng Yuan; Long Lan; Haoang Chi (ICASSP, 2022)

Meta Discovery: Learning to Discover Novel Classes given Very Limited Data. - Haoang Chi; Feng Liu 003; Wenjing Yang 002; Long Lan; Tongliang Liu; Bo Han 003; Gang Niu 001; Mingyuan Zhou; Masashi Sugiyama (ICLR, 2022)

Multi-scale Knowledge Distillation for Unsupervised Person Re-Identification. - Long Lan; Xiao Teng; Haoang Chi; Xiang Zhang 008 (CoRR, 2022)

Domain Specified Optimization for Deployment Authorization. - Haotian Wang 001; Haoang Chi; Wenjing Yang 002; Zhipeng Lin; Mingyang Geng; Long Lan; Jing Zhang 037; Dacheng Tao (ICCV, 2023)

Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation. - Ruijiang Dong; Feng Liu 003; Haoang Chi; Tongliang Liu; Mingming Gong; Gang Niu 001; Masashi Sugiyama; Bo Han 003 (ICML, 2023)

Treatment Effect Estimation with Adjustment Feature Selection. - Haotian Wang 001; Kun Kuang; Haoang Chi; Longqi Yang; Mingyang Geng; Wanrong Huang; Wenjing Yang 002 (KDD, 2023)

Are All Unseen Data Out-of-Distribution? - Songming Zhang 002; Yuxiao Luo 001; Qizhou Wang; Haoang Chi; Weikai Li 003; Bo Han 003; Jinyan Li (CoRR, 2023)

Scaling Few-Shot Learning for the Open World. - Zhipeng Lin; Wenjing Yang 002; Haotian Wang 001; Haoang Chi; Long Lan; Ji Wang 001 (AAAI, 2024)

A Graph Embedded Feature Decoupling Model for Clustering Single Cell RNA-seq Data. - Xiaoming Yan; Liyang Xu; Haoang Chi; Huihui Yang; Huan Chen; Yuhua Tang (BIBM, 2024)

Diversifying Cross-Domain Few-Shot Learning via Multimodal Image Editing. - Zhipeng Lin; Wenjing Yang 002; Long Lan; Mingyang Geng; Haotian Wang 001; Haoang Chi; Xueqiong Li; Ji Wang 001 (ICASSP, 2024)

Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? - Haoang Chi; He Li; Wenjing Yang 002; Feng Liu 003; Long Lan; Xiaoguang Ren; Tongliang Liu; Bo Han 003 (NeurIPS, 2024)

Look Within, Why LLMs Hallucinate: A Causal Perspective. - He Li; Haoang Chi; Mingyu Liu; Wenjing Yang 002 (CoRR, 2024)

HiFE: Hierarchical Feature Ensemble Framework for Few-shot Hypotheses Adaptation. - Yongfeng Zhong; Haoang Chi; Feng Liu 003; Xiao-Ming Wu; Bo Han 003 (Trans. Mach. Learn. Res., 2024)

Does Confusion Really Hurt Novel Class Discovery? - Haoang Chi; Wenjing Yang 002; Feng Liu 003; Long Lan; Tao Qin; Bo Han 003 (Int. J. Comput. Vis., 2024)

Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models. - Haotian Wang 001; Haoxuan Li 001; Hao Zou 001; Haoang Chi; Long Lan; Wanrong Huang; Wenjing Yang 002 (ICLR, 2025)

NT-FAN: A simple yet effective noise-tolerant few-shot adaptation network. - Wenjing Yang 002; Haoang Chi; Yibing Zhan; Bowen Hu; Xiaoguang Ren; Dapeng Tao; Long Lan (Artif. Intell., 2025)

Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation. - He Li; Haoang Chi; Mingyu Liu; Wanrong Huang; Liyang Xu; Wenjing Yang 002 (CoRR, 2025)