Chuang Wang

26 papers A* 3B 2Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
FGPR: A large-scale dataset and benchmark for fine-grained product retrieval.
Pattern Recognit.
Ruisong Zhang, Jie Hu, Zhong-Zhi Li, Chuang Wang, Cheng-Lin Liu
2025 — conf
Achieving binary weight and activation for LLMs using Post-Training Quantization.
ACL (Findings)
Siqing Song, Chuang Wang, Rui-Qi Wang, Yi Yang, Xu-Yao Zhang
2025 J jnl
Class incremental learning with self-supervised pre-training and prototype learning.
Pattern Recognit.
Wenzhuo Liu, Xin-Jian Wu, Fei Zhu, Ming-Ming Yu, Chuang Wang, Cheng-Lin Liu
2025 J jnl
Vision-language pre-training for graph-based handwritten mathematical expression recognition.
Pattern Recognit.
Hong-Yu Guo, Chuang Wang, Fei Yin, Xiao-Hui Li, Cheng-Lin Liu
2024 J jnl
Differentiable Proximal Graph Matching.
CoRR
Haoru Tan, Chuang Wang, Xu-Yao Zhang, Cheng-Lin Liu
2024 J jnl
Ensemble Quadratic Assignment Network for Graph Matching.
CoRR
Haoru Tan, Chuang Wang, Sitong Wu, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu
2024 J jnl
Ensemble Quadratic Assignment Network for Graph Matching.
Int. J. Comput. Vis.
Haoru Tan, Chuang Wang, Sitong Wu, Xu-Yao Zhang, Fei Yin, Chenglin Liu
2024 J jnl
Training Dynamics of Nonlinear Contrastive Learning Model in the High Dimensional Limit.
IEEE Signal Process. Lett.
Linghuan Meng, Chuang Wang
2023 J jnl
Class Incremental Learning with Self-Supervised Pre-Training and Prototype Learning.
CoRR
Wenzhuo Liu, Xin-Jian Wu, Fei Zhu, Mingming Yu, Chuang Wang, Cheng-Lin Liu
2023 J jnl
Cycle-Consistent Weakly Supervised Visual Grounding With Individual and Contextual Representations.
IEEE Trans. Image Process.
Ruisong Zhang, Chuang Wang, Cheng-Lin Liu
2023 J jnl
Deep representation learning for domain generalization with information bottleneck principle.
Pattern Recognit.
Jiao Zhang, Xu-Yao Zhang, Chuang Wang, Cheng-Lin Liu
2023 J jnl
Towards prior gap and representation gap for long-tailed recognition.
Pattern Recognit.
Ming-Liang Zhang, Xu-Yao Zhang, Chuang Wang, Cheng-Lin Liu
2022 B conf
Primitive Contrastive Learning for Handwritten Mathematical Expression Recognition.
ICPR
Hong-Yu Guo, Chuang Wang, Fei Yin, Heng-Ye Liu, Jin-Wen Wu, Cheng-Lin Liu
2021 A* conf
Prototype Augmentation and Self-Supervision for Incremental Learning.
CVPR
Fei Zhu, Xu-Yao Zhang, Chuang Wang, Fei Yin, Cheng-Lin Liu
2021 A* conf
Proxy Graph Matching with Proximal Matching Networks.
AAAI
Haoru Tan, Chuang Wang, Sitong Wu, Tie-Qiang Wang, Xu-Yao Zhang, Cheng-Lin Liu
2019 A* conf
A Solvable High-Dimensional Model of GAN.
NeurIPS
Chuang Wang, Hong Hu, Yue M. Lu
2018 J jnl
A Solvable High-Dimensional Model of GAN.
CoRR
Chuang Wang, Hong Hu, Yue M. Lu
2018 J jnl
Subspace Estimation From Incomplete Observations: A High-Dimensional Analysis.
IEEE J. Sel. Top. Signal Process.
Chuang Wang, Yonina C. Eldar, Yue M. Lu
2018 J jnl
Subspace Estimation from Incomplete Observations: A High-Dimensional Analysis.
CoRR
Chuang Wang, Yonina C. Eldar, Yue M. Lu
2017 J jnl
Scaling Limit: Exact and Tractable Analysis of Online Learning Algorithms with Applications to Regularized Regression and PCA.
CoRR
Chuang Wang, Jonathan Mattingly, Yue M. Lu
2017 — conf
The Scaling Limit of High-Dimensional Online Independent Component Analysis.
NIPS
Chuang Wang, Yue M. Lu
2017 J jnl
The Scaling Limit of High-Dimensional Online Independent Component Analysis.
CoRR
Chuang Wang, Yue M. Lu
2016 J jnl
Online Learning for Sparse PCA in High Dimensions: Exact Dynamics and Phase Transitions.
CoRR
Chuang Wang, Yue M. Lu
2016 B conf
Online learning for sparse PCA in high dimensions: Exact dynamics and phase transitions.
ITW
Chuang Wang, Yue M. Lu
2015 J jnl
Randomized Kaczmarz Algorithm for Inconsistent Linear Systems: An Exact MSE Analysis.
CoRR
Chuang Wang, Ameya Agaskar, Yue M. Lu
2014 — conf
Randomized Kaczmarz algorithms: Exact MSE analysis and optimal sampling probabilities.
GlobalSIP
Ameya Agaskar, Chuang Wang, Yue M. Lu