Haoang Chi

According to our database, Haoang Chi authored at least 27 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Shapley-Guided Neural Repair Approach via Derivative-Free Optimization.

Xinyu Sun, Wanwei Liu, Haoang Chi, Tingyu Chen, Xiaoguang Mao, Shangwen Wang, Lei Bu, Jingyi Wang, Yang Tan, Zhenyi Qi

CoRR, April, 2026

Causal Representation Learning with Optimal Compression under Complex Treatments.

Wanting Liang, Haoang Chi, Zhiheng Zhang

CoRR, March, 2026

Trustworthy Foundation Models for Web Intelligence: Causal Perspectives and Challenges.

Haoang Chi, Qi Wang, Jiantong Jiang, Jiangchao Yao, Feng Liu, Bo Han

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

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, Yuanlong Chen, Wenjing Yang, Haotian Wang

CoRR, November, 2025

NT-FAN: A simple yet effective noise-tolerant few-shot adaptation network.

Wenjing Yang, Haoang Chi, Yibing Zhan, Bowen Hu, Xiaoguang Ren, Dapeng Tao, Long Lan

Artif. Intell., 2025

MMF-SV: A Multi-Modal Feature Fusion-Based Structural Variant Caller.

Zeyu Xia, Canqun Yang, Haoang Chi, Tao Tang, Weiming Xiang, Yingbo Cui

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation.

He Li, Haoang Chi, Mingyu Liu, Wanrong Huang, Liyang Xu, Wenjing Yang

Proceedings of the Forty-second International Conference on Machine Learning, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Does Confusion Really Hurt Novel Class Discovery?

Haoang Chi, Wenjing Yang, Feng Liu, Long Lan, Tao Qin, Bo Han

Int. J. Comput. Vis., August, 2024

HiFE: Hierarchical Feature Ensemble Framework for Few-shot Hypotheses Adaptation.

Yongfeng Zhong, Haoang Chi, Feng Liu, Xiao-Ming Wu, Bo Han

Trans. Mach. Learn. Res., 2024

Look Within, Why LLMs Hallucinate: A Causal Perspective.

He Li, Haoang Chi, Mingyu Liu, Wenjing Yang

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Diversifying Cross-Domain Few-Shot Learning via Multimodal Image Editing.

Zhipeng Lin, Wenjing Yang, Long Lan, Mingyang Geng, Haotian Wang, Haoang Chi, Xueqiong Li, Ji Wang

Proceedings of the IEEE International Conference on Acoustics, 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

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Scaling Few-Shot Learning for the Open World.

Zhipeng Lin, Wenjing Yang, Haotian Wang, Haoang Chi, Long Lan, Ji Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Are All Unseen Data Out-of-Distribution?

Songming Zhang, Yuxiao Luo, Qizhou Wang, Haoang Chi, Weikai Li, Bo Han, Jinyan Li

CoRR, 2023

Treatment Effect Estimation with Adjustment Feature Selection.

Haotian Wang, Kun Kuang, Haoang Chi, Longqi Yang, Mingyang Geng, Wanrong Huang, Wenjing Yang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Proceedings of the International Conference on Machine Learning, 2023

Domain Specified Optimization for Deployment Authorization.

Haotian Wang, Haoang Chi, Wenjing Yang, Zhipeng Lin, Mingyang Geng, Long Lan, Jing Zhang, Dacheng Tao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Multi-scale Knowledge Distillation for Unsupervised Person Re-Identification.

Long Lan, Xiao Teng, Haoang Chi, Xiang Zhang

CoRR, 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

Proceedings of the Tenth International Conference on Learning Representations, 2022

Privacy-Preserving Action Recognition.

Chengming Zou, Ducheng Yuan, Long Lan, Haoang Chi

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

A robust quadruple adaptation network in few-shot scenarios.

Haoang Chi, Shengang Li, Wenjing Yang, Long Lan

Knowl. Based Syst., 2021

Meta Discovery: Learning to Discover Novel Classes given Very Limited Data.

Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Gang Niu, Bo Han

CoRR, 2021

TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation.

Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Bo Han, William K. Cheung, James T. Kwok

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multi-Agent Combat in Non-Stationary Environments.

Shengang Li, Haoang Chi, Tao Xie

Proceedings of the International Joint Conference on Neural Networks, 2021

Identity-Based Data Augmentation via Progressive Sampling for One-Shot Person Re-identification.

Runxuan Si, Shaowu Yang, Jing Zhao, Haoang Chi, Yuhua Tang

Proceedings of the Neural Information Processing - 28th International Conference, 2021