SwiTTA: Switching Domain Experts and Aggregating Contextual Features Towards Realistic Test-Time Adaptation
Chaoqun Du, Jiayi Guo, Yulin Wang, Gao Huang
International Conference on Machine Learning (ICML) 2025 PUT Workshop, 2025
Publications
You can also find my articles on my Google Scholar profile.
UniTTA: Unified Benchmark and Versatile Framework Towards Realistic Test-Time Adaptation
Chaoqun Du, Jiayi Guo, Yulin Wang, Gao Huang
International Conference on Machine Learning (ICML) 2025 PUT Workshop, 2025
Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment
Jiayi Guo, Junhao Zhao, Chunjiang Ge, Chaoqun Du, Zanlin Ni, Shiji Song, Humphrey Shi, Gao Huang
Preprint, 2024
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning
Chaoqun Du*, Yizeng Han*, Gao Huang
International Conference on Machine Learning (ICML), 2024
Probabilistic Contrastive Learning for Long-Tailed Visual Recognition
Chaoqun Du, Yulin Wang, Shiji Song, Gao Huang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, IF=20.8), 2024
Assessing a Single Image in Reference-Guided Image Synthesis
Jiayi Guo, Chaoqun Du, Jiangshan Wang, Huijuan Huang, Pengfei Wan, Gao Huang
AAAI Conference on Artificial Intelligence (AAAI) (oral), 2022
The High Separation Probability Assumption for Semi-Supervised Learning
Gao Huang, Chaoqun Du (Student First Author)
IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC-S, IF=8.6), 2022