FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning. - Yidong Wang; Hao Chen 102; Qiang Heng; Wenxin Hou; Yue Fan; Zhen Wu 002; Marios Savvides; Takahiro Shinozaki; Bhiksha Raj; Bernt Schiele (CoRR, 2022)

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning. - Yidong Wang; Hao Chen 102; Qiang Heng; Wenxin Hou; Yue Fan; Zhen Wu 002; Jindong Wang 001; Marios Savvides; Takahiro Shinozaki; Bhiksha Raj; Bernt Schiele; Xing Xie 001 (ICLR, 2023)

Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo. - Qiang Heng; Hua Zhou 001; Eric C. Chi (J. Comput. Graph. Stat., 2023)

Robust Low-Rank Tensor Decomposition with the L 2 Criterion. - Qiang Heng; Eric C. Chi; Yufeng Liu (Technometrics, 2023)

Exploring Vision-Language Models for Imbalanced Learning. - Yidong Wang; Zhuohao Yu 001; Jindong Wang 001; Qiang Heng; Hao Chen 102; Wei Ye 004; Rui Xie 003; Xing Xie 001; Shikun Zhang (Int. J. Comput. Vis., 2024)

Bootstrap estimation of the proportion of outliers in robust regression. - Qiang Heng; Kenneth Lange (Stat. Comput., 2025)

Inertial Quadratic Majorization Minimization with Application to Kernel Regularized Learning. - Qiang Heng; Caixing Wang (CoRR, 2025)