I am now a first year Ph.D. student at MMLab@NTU, supervised by Prof. Chen Change Loy. I obtained my B.E. degree at BUPT, majored in software engineering, Beijing China.

My research interests lies in the intersection of machine learning, 3D Vision and graphics. I’m also interested in graph neural network. My goal is to develope efficient, robust and provable algorithms and apply them in practical applications.

I once interned and studied at UT Austin, Tsinghua, SenseTime and MSRA.


  • Computer Vision
  • 3D perception and scene understanding
  • Geometric Machine Learning


  • Ph.D. in SCSE, 2020

    NTU, Singapore

  • B.E. in Software Engineering, 2016

    Beijing Univ of Posts & Tele



Ph.D. student


Aug 2020 – Present Singapore
Computer Vision and Deep Learning, supervised by Prof. Chen Change loy



Nov 2019 – May 2020 Beijing
Efficiency Optimization of Graph Convolution Network on Large Graphs, supervised by Xuehui

Research Assistant

UT-Austin, CVC Lab

Jul 2019 – Oct 2019 Austin, Texas
Deep Learning to Segment Cell and Tissue Microscopy, supervised by Chandrajit Bajaj



Mar 2019 – Nov 2019 Beijing
Enhancing Person ReID in Representation Learning by Semantic Fusion and Regularization

Research Assistant

Tsinghua University, Department of Automation

Oct 2018 – Oct 2019 Beijing
CV aided Cardiomyopathy Pathological Classification

Undergrad Student

Beijing Univ of Posts and Tele

Sep 2016 – Jul 2020 Beijing
Software Engineering

Recent Posts

Microsoft Research Asia

Towards machine learning on graphs

Life at SenseTime

A new start
Life at SenseTime

Recent Publications

MagnifierNet: TowardsSemanticRegularizationandFusionforPerson Re-identification

MagnifierNet: TowardsSemanticRegularizationandFusionforPerson Re-identification