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Haoang Chi
Observed name:
Chi, Haoang
Institutions:
National University of Defense Technology,
Tsinghua University
Observed institutions:
National University of Defense Technology,
PLA Academy of Military Science,
Tsinghua University
ORCID:
0000-0002-2644-3323
Observed ORCID:
0000-0002-2644-3323
OpenAlex ID:
A5048925843
Meta Discovery: Learning to Discover Novel Classes given Very Limited Data
2021
·
Chi, Haoang
, Liu, Feng
, et al.
·
arXiv (Cornell University)
·
29
PDF
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation
2021
·
Chi, Haoang
, Liu, Feng
, et al.
·
arXiv (Cornell University)
·
22
PDF
Scaling Few-Shot Learning for the Open World
2024
·
Zhipeng Lin
, Wenjing Yang
, et al.
·
Proceedings of the AAAI Conference on Artificial Intelligence
·
8
PDF
Domain Specified Optimization for Deployment Authorization
2023
·
Haotian Wang
, Haoang Chi
, et al.
·
IEEE/CVF International Conference on Computer Vision (ICCV)
·
8
Treatment Effect Estimation with Adjustment Feature Selection
2023
·
Haotian Wang
, Kun Kuang
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
·
8
PDF
Privacy-Preserving Action Recognition
2022
·
Chengming Zou
, Ducheng Yuan
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
8
Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation
2023
·
Dong, Ruijiang
, Liu, Feng
, et al.
·
arXiv (Cornell University)
·
5
PDF
A Closer Look at Few-Shot Classification with Many Novel Classes
2024
·
Zhipeng Lin
, Wenjing Yang
, et al.
·
Applied Sciences
·
4
PDF
Diversifying Cross-Domain Few-Shot Learning via Multimodal Image Editing
2024
·
Zhipeng Lin
, Wenjing Yang
, et al.
·
IEEE International Conference on Acoustics Speech and Signal Processing
·
4
Does Confusion Really Hurt Novel Class Discovery?
2024
·
Haoang Chi
, Wenjing Yang
, et al.
·
International Journal of Computer Vision
·
4
Multi-Agent Combat in Non-Stationary Environments
2021
·
Shengang Li
, Haoang Chi
, et al.
·
International Joint Conference on Neural Networks (IJCNN)
·
4
MMF-SV: A Multi-Modal Feature Fusion-Based Structural Variant Caller
2025
·
Zeyu Xia
, Canqun Yang
, et al.
·
ACM International Conference on Multimedia (ACM MM)
·
3
NT-FAN: A simple yet effective noise-tolerant few-shot adaptation network
2025
·
Wenjing Yang
, Haoang Chi
, et al.
·
Artificial Intelligence
·
2
Shapley-Guided Neural Repair Approach via Derivative-Free Optimization
2026
·
Sun, Xinyu
, Liu, Wanwei
, et al.
·
arXiv (Cornell University)
·
1
PDF
Mixture Data for Training Cannot Ensure Out-of-distribution Generalization
2023
·
Zhang, Songming
, Luo, Yuxiao
, et al.
·
arXiv (Cornell University)
·
1
PDF
A robust quadruple adaptation network in few-shot scenarios
2021
·
Haoang Chi
, Shengang Li
, et al.
·
Knowledge-Based Systems
·
1
Identity-Based Data Augmentation via Progressive Sampling for One-Shot Person Re-identification
2021
·
Runxuan Si
, Shaowu Yang
, et al.
·
Lecture notes in computer science
·
1
Does Scaling Toward AGI Depend on What System-1 Lets System-2 Execute?
2026
·
Wang, Qi
, Qu, Yun
, et al.
·
arXiv (Cornell University)
PDF
From Observation to Intervention: Distilling Self-Generated In-Context Demonstrations via Executable Causal Intervention
2026
·
Ye, Minming
, Liu, Min
, et al.
·
arXiv (Cornell University)
PDF
Autoregressive Decoding as a Martingale: Characterizing the Stochastic Dynamics of LLM Generation
2026
·
Zhu, Xiahui
, Qi, Zhenyi
, et al.
·
arXiv (Cornell University)
PDF
You Only Edit Once: Incentivizing In-Context Capability of LLMs via Local Demonstration Refinement
2026
·
Wen, Jiarong
, Wang, Qi
, et al.
·
arXiv (Cornell University)
PDF
SpaCellAgent: A Self-Evolving LLM-Based Multi-Agent Framework for Trajectory Analysis
2026
·
Songhan Wang
, Haoang Chi
, et al.
·
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
Gene Ontology-Guided Hierarchical Spatial Gene Expression Prediction from Histopathology Images
2026
·
Xu, Zhiwen
, Yan, Xiaoming
, et al.
·
arXiv (Cornell University)
PDF
Trustworthy Foundation Models for Web Intelligence: Causal Perspectives and Challenges
2026
·
Haoang Chi
, Qi Wang
, et al.
·
International World Wide Web Conference (WWW)
Causal Representation Learning with Optimal Compression under Complex Treatments
2026
·
Liang, Wanting
, Chi, Haoang
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
31
Citation count:
113
H-index:
6
I10-index:
2
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