Xinchao Wang

Assistant Professor

Presidential Young Professor

xinchao-AT-nus.edu.sg

We are always looking for

on Machine Learning, Artificial Intelligence, and Computer Vision.

News

Our lab members becoming faculty members in 2025

1. Jingwen Ye (Postdoc), Assistant Professor, Monash University
2. Songhua Liu (PhD Student), Assistant Professor, Shanghai Jiaotong Univeristy
3. Xingyi Yang (PhD Student), Assistant Professor + Presidential Young Scholar, The Hong Kong Polytechnic University

Feb 2025. AI's 10 to Watch, IEEE.
Dec 2024. Our PhD student, Fang Gongfan, awarded ByteDance Scholarship.
Nov 2024. Our PhD student, Ma Xinyin, awarded Google Fellowship.
Aug 2024. Young Research Award, NUS.
Apr 2024. Our PhD students, Liu Songhua and Yang Xingyi awarded Chinese Government Award for Outstanding Self-financed Students Abroad.
Apr 2024. Young Research Award, NUS CDE.
Jun 2023. Serving as an Associate Editor for IEEE Transactions on Image Processing (TIP).
Apr 2023. Our PhD student, Yu Weihao awarded Chinese Government Award for Outstanding Self-financed Students Abroad.
Feb 2023. Outstanding Early Career Award, NUS CDE.
Feb 2023. College Teaching Excellence Award, NUS CDE.
Dec 2022. Best Paper Award, IEEE VCIP 2022.
Nov 2022. Paper Award Nomination, NeurIPS 2022.

I am currently a tenure-track assistant professor (under Presidential Young Professorship) in the Department of ECE, National University of Singapore (NUS). Before joining NUS, I was an assistant professor in the Department of CS, Stevens Institute of Technology. Before joining Stevens, I was a Postdoc at the Image Formation and Professing (IFP) group with late Prof Thomas Huang at Beckman Institute, University of Illinois Urbana-Champaign (UIUC). I received my Ph.D. from the Computer Vision Lab, École polytechnique fédérale de Lausanne (EPFL) in 2015 under the supervision of Prof Pascal Fua, and the first-class honorable B.Sc. in Dept. of Computing, the Hong Kong Polytechnic University (HKPU) in 2010 (GPA 4.0/4.0, most outstanding thesis award).

EE2211 Introduction to Machine Learning, National University of Singapore
EE4704 Image Processing and Analysis, National University of Singapore
EE5907 Pattern Recognition, National University of Singapore
EE5934 Deep Learning, National University of Singapore
EE6733 Advanced Topics on Vision and Machine Learning, National University of Singapore
EE4808/EE4300 Machine Learning: Models and Applications, National University of Singapore Research Institute (SuZhou and Chongqing)
Outstanding Teaching Recognition (Stevens Institute of Technology), Fall 2020.
Outstanding Teaching Recognition (Stevens Institute of Technology), Fall 2019.
CS 559, Machine Learning Fundamentals and Applications (Spring/Fall 2018, 2019, 2020), Stevens Institute of Technology
CS 558, Computer Vision (Spring 2019, 2020), Stevens Institute of Technology

Our list of alumni can be found here.

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