Chi, Haoang

10 publications

NeurIPS 2025 Breaking the Gradient Barrier: Unveiling Large Language Models for Strategic Classification Xinpeng Lv, Yunxin Mao, Haoxuan Li, Ke Liang, Jinxuan Yang, Wanrong Huang, Haoang Chi, Huan Chen, Long Lan, Cyuanlong, Wenjing Yang, Haotian Wang

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

ICML 2025 Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation He Li, Haoang Chi, Mingyu Liu, Wanrong Huang, Liyang Xu, Wenjing Yang

TMLR 2024 HiFE: Hierarchical Feature Ensemble Framework for Few-Shot Hypotheses Adaptation Yongfeng Zhong, Haoang Chi, Feng Liu, Xiao-Ming Wu, Bo Han

AAAI 2024 Scaling Few-Shot Learning for the Open World Zhipeng Lin, Wenjing Yang, Haotian Wang, Haoang Chi, Long Lan, Ji Wang

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

ICML 2023 Diversity-Enhancing Generative Network for Few-Shot Hypothesis Adaptation Ruijiang Dong, Feng Liu, Haoang Chi, Tongliang Liu, Mingming Gong, Gang Niu, Masashi Sugiyama, Bo Han

ICCV 2023 Domain Specified Optimization for Deployment Authorization Haotian Wang, Haoang Chi, Wenjing Yang, Zhipeng Lin, Mingyang Geng, Long Lan, Jing Zhang, Dacheng Tao

ICLR 2022 Meta Discovery: Learning to Discover Novel Classes Given Very Limited Data Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Bo Han, Gang Niu, Mingyuan Zhou, Masashi Sugiyama

NeurIPS 2021 TOHAN: A One-Step Approach Towards Few-Shot Hypothesis Adaptation Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Bo Han, William Cheung, James T. Kwok