王闯｜中国科学院大学｜学者主页

期刊论文

2026

复杂风场下基于物理感知图神经网络的无人机安全与能效协同路径规划

王闯，刘佳良，许成鹏

《交通运输系统工程与信息》

2026

基于OVA与伪标签优化的辐射源域适应识别方法

王闯，俞璐，潘成，李宁，杜文博

《计算机技术与发展》

DOI

2026

DiffAD：基于差分卷积注意力的多类无监督异常检测

姚健，马帅，钱鹏江，王闯，杨桂松，何源

《计算机研究与发展》

2025

FGPR: A large-scale dataset and benchmark for fine-grained product retrieval

Ruisong Zhang, Jie Hu, Zhongzhi Li, Chuang Wang, Cheng‐Lin Liu

Pattern Recognition

DOI

2025

Vision–language pre-training for graph-based handwritten mathematical expression recognition

Hong-Yu Guo, Chuang Wang, Fei Yin, Xiao-Hui Li, Xiao-Hui Li

Pattern Recognition

DOI

2024

Class incremental learning with self-supervised pre-training and prototype learning

Wenzhuo Liu, Xin-Jian Wu, Fei Zhu, Mingming Yu, Chuang Wang, Cheng‐Lin Liu

Pattern Recognition

DOI

2024

Training Dynamics of Nonlinear Contrastive Learning Model in the High Dimensional Limit

Li-Yuan Meng, Chuang Wang

IEEE Signal Processing Letters

DOI

2024

Ensemble Quadratic Assignment Network for Graph Matching

Haoru Tan, Chuang Wang, Sitong Wu, Xu-Yao Zhang, Fei Yin, Cheng‐Lin Liu

International Journal of Computer Vision

DOI

2023

基于事件触发的全信息粒子群优化器及其应用

王闯，韩非，申雨轩，李学贵，董宏丽

《自动化学报》

DOI

2023

Deep representation learning for domain generalization with information bottleneck principle

Jiao Zhang, Xu-Yao Zhang, Chuang Wang, Cheng‐Lin Liu

Pattern Recognition

DOI

2023

Cycle-Consistent Weakly Supervised Visual Grounding With Individual and Contextual Representations

Ruisong Zhang, Chuang Wang, Cheng‐Lin Liu

IEEE Transactions on Image Processing

DOI

2022

Towards prior gap and representation gap for long-tailed recognition

Ming-Liang Zhang, Xu-Yao Zhang, Chuang Wang, Cheng‐Lin Liu

Pattern Recognition

DOI

2022

Primitive Contrastive Learning for Handwritten Mathematical Expression Recognition

Hongyu Guo, Chuang Wang, Fei Yin, Heng-Ye Liu, Jin-Wen Wu, Cheng‐Lin Liu

Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition

DOI

2021

Prototype Augmentation and Self-Supervision for Incremental Learning

Fei Zhu, Xu-Yao Zhang, Chuang Wang, Fei Yin, Cheng‐Lin Liu

IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings

DOI

2021

Proxy Graph Matching with Proximal Matching Networks

Haoru Tan, Chuang Wang, Sitong Wu, Tie-Qiang Wang, Xu-Yao Zhang, Cheng‐Lin Liu

Proceedings of the AAAI Conference on Artificial Intelligence

DOI

2020

改进粒子群优化算法及其在聚类分析中应用

王闯，张勇，李学贵，董宏丽

《系统仿真学报》

DOI

2014

Randomized Kaczmarz algorithms: Exact MSE analysis and optimal sampling probabilities

Ameya Agaskar, Chuang Wang, Yue M. Lu

IEEE Global Conference on Signal and Information Processing

DOI

2014

Topologically invariant tensor renormalization group method for the Edwards-Anderson spin glasses model

Chuang Wang, Shao-Meng Qin, Haijun Zhou

Physical Review B

DOI

预印本

2018

Subspace Estimation from Incomplete Observations: A High-Dimensional Analysis

Chuang Wang, Yonina C. Eldar, Yue M. Lu

arXiv preprint

DOI

2018

A Solvable High-Dimensional Model of GAN

Chuang Wang, Hong Hu, Yue M. Lu

arXiv preprint

2017

Scaling Limit: Exact and Tractable Analysis of Online Learning Algorithms with Applications to Regularized Regression and PCA

Chuang Wang, Jonathan Mattingly, Yue M. Lu

arXiv preprint

2017

The Scaling Limit of High-Dimensional Online Independent Component Analysis

Chuang Wang, Yue M. Lu

arXiv preprint

2016

Online Learning for Sparse PCA in High Dimensions: Exact Dynamics and Phase Transitions

Chuang Wang, Yue M. Lu

arXiv preprint

2015

Randomized Kaczmarz Algorithm for Inconsistent Linear Systems: An Exact MSE Analysis

Chuang Wang, Ameya Agaskar, Yue M. Lu

arXiv preprint

2015

On one-step replica symmetry breaking in the Edwards-Anderson spin glass model

Gino Del Ferraro, Chuang Wang, Hai-Jun Zhou, Erik Aurell

arXiv preprint

DOI

2014

Cavity Method: Message Passing from a Physics Perspective

Gino Del Ferraro, Chuang Wang, Dani Martí, Marc Mézard

arXiv preprint

2013

Simplifying Generalized Belief Propagation on Redundant Region Graphs

Chuang Wang, Hai-Jun Zhou

arXiv preprint

DOI

2012

Region graph partition function expansion and approximate free energy landscapes: Theory and some numerical results

Haijun Zhou, Chuang Wang

arXiv preprint

DOI

2011

Partition Function Expansion on Region-Graphs and Message-Passing Equations

Haijun Zhou, Chuang Wang, Jing-Qing Xiao, Zedong Bi

arXiv preprint

DOI

2010

Ground-state configuration space heterogeneity of random finite-connectivity spin glasses and random constraint satisfaction problems

Haijun Zhou, Chuang Wang

arXiv preprint

DOI

王闯

精选作品

期刊论文

复杂风场下基于物理感知图神经网络的无人机安全与能效协同路径规划

基于OVA与伪标签优化的辐射源域适应识别方法

DiffAD：基于差分卷积注意力的多类无监督异常检测

FGPR: A large-scale dataset and benchmark for fine-grained product retrieval

Vision–language pre-training for graph-based handwritten mathematical expression recognition

Class incremental learning with self-supervised pre-training and prototype learning

Training Dynamics of Nonlinear Contrastive Learning Model in the High Dimensional Limit

Ensemble Quadratic Assignment Network for Graph Matching

基于事件触发的全信息粒子群优化器及其应用

Deep representation learning for domain generalization with information bottleneck principle

Cycle-Consistent Weakly Supervised Visual Grounding With Individual and Contextual Representations

Towards prior gap and representation gap for long-tailed recognition

Primitive Contrastive Learning for Handwritten Mathematical Expression Recognition

Prototype Augmentation and Self-Supervision for Incremental Learning

Proxy Graph Matching with Proximal Matching Networks

改进粒子群优化算法及其在聚类分析中应用

Randomized Kaczmarz algorithms: Exact MSE analysis and optimal sampling probabilities

Topologically invariant tensor renormalization group method for the Edwards-Anderson spin glasses model

预印本

Subspace Estimation from Incomplete Observations: A High-Dimensional Analysis

A Solvable High-Dimensional Model of GAN

Scaling Limit: Exact and Tractable Analysis of Online Learning Algorithms with Applications to Regularized Regression and PCA

The Scaling Limit of High-Dimensional Online Independent Component Analysis

Online Learning for Sparse PCA in High Dimensions: Exact Dynamics and Phase Transitions

Randomized Kaczmarz Algorithm for Inconsistent Linear Systems: An Exact MSE Analysis

On one-step replica symmetry breaking in the Edwards-Anderson spin glass model

Cavity Method: Message Passing from a Physics Perspective

Simplifying Generalized Belief Propagation on Redundant Region Graphs

Region graph partition function expansion and approximate free energy landscapes: Theory and some numerical results

Partition Function Expansion on Region-Graphs and Message-Passing Equations

Ground-state configuration space heterogeneity of random finite-connectivity spin glasses and random constraint satisfaction problems

研究方向