UniTTA: Unified Benchmark and Versatile Framework Towards Realistic Test-Time Adaptation
Chaoqun Du, Yulin Wang, Jiayi Guo, Yizeng Han, Jie Zhou, Gao Huang
Preprint, 2024
Publications
You can also find my articles on my Google Scholar profile.
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
IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMC-S, IF=8.6), 2022