Runzhong Wang - 汪润中
runzhong.wang AT sjtu DOT edu DOT cn

I am a third year PhD student at AI Institute and Department of CSE, Shanghai Jiao Tong University (SJTU), supervised by Prof. Xiaokang Yang and Prof. Junchi Yan.
I am interested in Combinatorial Optimization, Graphs and related Machine Learning methods.

What's New

  • One paper on learning combinatorial optimization is accepted by NeurIPS 2021!
  • We have released a comprehensive deep graph matching repository ThinkMatch. Check this out!
  • One paper on learning quadratic assignment problem and graph matching is accepted by TPAMI!

Publications

A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs.
Runzhong Wang, Zhigang Hua, Gan Liu, Jiayi Zhang, Junchi Yan, Feng Qi, Shuang Yang, Jun Zhou, Xiaokang Yang.
NeurIPS 2021.
[preprint] [code will be ready soon]

Deep Latent Graph Matching.
Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li.
ICML 2021.
[paper]

Deep Reinforcement Learning of Graph Matching.
Chang Liu, Runzhong Wang, Zetian Jiang, Junchi Yan.
Preprint, under review.
[preprint]

Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem with Extension to Hypergraph and Multiple-graph Matching.
Runzhong Wang, Junchi Yan, Xiaokang Yang.
Accepted by TPAMI.
Best poster award at Internation Conference on Data Science 2019.
[paper] [project page] [code]

Combinatorial Learning of Graph Edit Distance via Dynamic Embedding.
Runzhong Wang, Tianqi Zhang, Tianshu Yu, Junchi Yan, Xiaokang Yang.
CVPR 2021.
[paper] [code]

Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning.
Runzhong Wang, Junchi Yan, Xiaokang Yang.
NeurIPS 2020.
[paper] [project page] [code]

Combinatorial Learning of Robust Deep Graph Matching: an Embedding based Approach.
Runzhong Wang, Junchi Yan, Xiaokang Yang.
TPAMI.
[paper] [project page] [code]

Learning deep graph matching with channel-independent embedding and Hungarian attention.
Tianshu Yu, Runzhong Wang, Junchi Yan, Baoxin Li.
ICLR 2020.
[paper] [code]

Learning Combinatorial Embedding Networks for Deep Graph Matching.
Runzhong Wang, Junchi Yan, Xiaokang Yang.
ICCV 2019 (oral).
[paper] [project page] [code] [slides]

InstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting.
*Runzhong Wang, *Hao-shu Fang, *Jianhua Sun, Minghao Gou, Yong-Lu Li, Cewu Lu. (* equal contribution)
ICCV 2019.
[paper] [code]

Education

From Sep 2019
PhD of Comupter Science and Technology
Wen-Tsün Wu Honorable Class, AI Institute of Shanghai Jiao Tong University
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University (SJTU)

Sep 2015 to Jun 2019
Bachelor of Engineering in Information Engineering
School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University (SJTU)