Assessing a Single Image in Reference-Guided Image Synthesis. - Jiayi Guo; Chaoqun Du; Jiangshan Wang; Huijuan Huang; Pengfei Wan 001; Gao Huang 001 (AAAI, 2022)

The High Separation Probability Assumption for Semi-Supervised Learning. - Gao Huang 001; Chaoqun Du (IEEE Trans. Syst. Man Cybern. Syst., 2022)

SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning. - Chaoqun Du; Yizeng Han; Gao Huang 001 (ICML, 2024)

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 001 (CoRR, 2024)

UniTTA: Unified Benchmark and Versatile Framework Towards Realistic Test-Time Adaptation. - Chaoqun Du; Yulin Wang; Jiayi Guo; Yizeng Han; Jie Zhou 001; Gao Huang 001 (CoRR, 2024)

Probabilistic Contrastive Learning for Long-Tailed Visual Recognition. - Chaoqun Du; Yulin Wang; Shiji Song; Gao Huang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment. - Jiayi Guo; Junhao Zhao; Chaoqun Du; Yulin Wang; Chunjiang Ge; Zanlin Ni; Shiji Song; Humphrey Shi; Gao Huang 001 (CVPR, 2025)

BAPE: Learning an Explicit Bayes Classifier for Long-tailed Visual Recognition. - Chaoqun Du; Yulin Wang; Shiji Song; Gao Huang 001 (CoRR, 2025)