Randomized Kaczmarz algorithms: Exact MSE analysis and optimal sampling probabilities. - Ameya Agaskar; Chuang Wang 007; Yue M. Lu (GlobalSIP, 2014)

Randomized Kaczmarz Algorithm for Inconsistent Linear Systems: An Exact MSE Analysis. - Chuang Wang 007; Ameya Agaskar; Yue M. Lu (CoRR, 2015)

Online learning for sparse PCA in high dimensions: Exact dynamics and phase transitions. - Chuang Wang 007; Yue M. Lu (ITW, 2016)

The Scaling Limit of High-Dimensional Online Independent Component Analysis. - Chuang Wang 007; Yue M. Lu (NIPS, 2017)

Scaling Limit: Exact and Tractable Analysis of Online Learning Algorithms with Applications to Regularized Regression and PCA. - Chuang Wang 007; Jonathan Mattingly; Yue M. Lu (CoRR, 2017)

Subspace Estimation From Incomplete Observations: A High-Dimensional Analysis. - Chuang Wang 007; Yonina C. Eldar; Yue M. Lu (IEEE J. Sel. Top. Signal Process., 2018)

A Solvable High-Dimensional Model of GAN. - Chuang Wang 007; Hong Hu; Yue M. Lu (NeurIPS, 2019)

Proxy Graph Matching with Proximal Matching Networks. - Haoru Tan; Chuang Wang 007; Sitong Wu; Tie-Qiang Wang; Xu-Yao Zhang; Cheng-Lin Liu 001 (AAAI, 2021)

Prototype Augmentation and Self-Supervision for Incremental Learning. - Fei Zhu 004; Xu-Yao Zhang; Chuang Wang 007; Fei Yin; Cheng-Lin Liu 001 (CVPR, 2021)

Primitive Contrastive Learning for Handwritten Mathematical Expression Recognition. - Hong-Yu Guo; Chuang Wang 007; Fei Yin; Heng-Ye Liu; Jin-Wen Wu; Cheng-Lin Liu 001 (ICPR, 2022)

Class Incremental Learning with Self-Supervised Pre-Training and Prototype Learning. - Wenzhuo Liu; Xin-Jian Wu; Fei Zhu 004; Mingming Yu; Chuang Wang 007; Cheng-Lin Liu 001 (CoRR, 2023)

Towards prior gap and representation gap for long-tailed recognition. - Ming-Liang Zhang 005; Xu-Yao Zhang; Chuang Wang 007; Cheng-Lin Liu 001 (Pattern Recognit., 2023)

Cycle-Consistent Weakly Supervised Visual Grounding With Individual and Contextual Representations. - Ruisong Zhang; Chuang Wang 007; Cheng-Lin Liu 001 (IEEE Trans. Image Process., 2023)

Deep representation learning for domain generalization with information bottleneck principle. - Jiao Zhang; Xu-Yao Zhang; Chuang Wang 007; Cheng-Lin Liu 001 (Pattern Recognit., 2023)

Differentiable Proximal Graph Matching. - Haoru Tan; Chuang Wang 007; Xu-Yao Zhang; Cheng-Lin Liu 001 (CoRR, 2024)

Training Dynamics of Nonlinear Contrastive Learning Model in the High Dimensional Limit. - Linghuan Meng; Chuang Wang 007 (IEEE Signal Process. Lett., 2024)

Ensemble Quadratic Assignment Network for Graph Matching. - Haoru Tan; Chuang Wang 007; Sitong Wu; Xu-Yao Zhang; Fei Yin; Chenglin Liu 001 (Int. J. Comput. Vis., 2024)

Achieving binary weight and activation for LLMs using Post-Training Quantization. - Siqing Song; Chuang Wang 007; Rui-Qi Wang; Yi Yang; Xu-Yao Zhang (ACL (Findings), 2025)

Vision-language pre-training for graph-based handwritten mathematical expression recognition. - Hong-Yu Guo; Chuang Wang 007; Fei Yin; Xiao-Hui Li 012; Cheng-Lin Liu 001 (Pattern Recognit., 2025)

Class incremental learning with self-supervised pre-training and prototype learning. - Wenzhuo Liu; Xin-Jian Wu; Fei Zhu 004; Ming-Ming Yu; Chuang Wang 007; Cheng-Lin Liu 001 (Pattern Recognit., 2025)