Xinchao Wang
We are always looking for
PhD Students/Postdocs
Visiting Students / Scholars
Research Assistants
on Machine Learning, Artificial Intelligence, and Computer Vision.
Simplicity is the final achievement. --- Frederic Chopin
News
Feb 2023. Outstanding Early Career Award, by NUS CDE.
Feb 2023. College Teaching Excellence Award, by NUS CDE.
Dec 2022. Best Paper Award, IEEE VCIP 2022.
Nov 2022. Paper Award Nomination, NeurIPS 2022.
Nov 2022. World's Top 2% Scientists by Stanford University.
Biography
I am currently a tenure-track assistant professor 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 Prof. Thomas Huang's Image Formation and Professing (IFP) group 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), advised by Prof. Pascal Fua, and the first-class honorable B.Sc. in Dept. of Computing, the Hong Kong Polytechnic University (HKPU) in 2010.
[Google Scholar] [DBLP]
Education and Postdoc
SwissNSF Postdoctoral Fellow, Beckman Institute, University of Illinois Urbana-Champaign (UIUC), 2016-2017
Supervisor: Prof. Thomas S. Huang
Ph.D., Computer Science, École polytechnique fédérale de Lausanne (EPFL), 2015
Supervisor: Prof. Pascal Fua
B.Sc. (First-class Hon.), Computing, the Hong Kong Polytechnic University (HKPU), 2010
Full GPA (4.0/4.0), the most outstanding thesis award
Teaching
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 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
Service
Area Chair:
Neural Information Processing Systems (NeurIPS), 2021, 2022, 2023
IEEE Conference on Machine Learning (ICML), 2023
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021, 2022
IEEE International Conference on Computer Vision (ICCV), 2021
European Conference on Computer Vision (ECCV), 2022
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
IEEE International Conference on Pattern Recognition (ICPR), 2022
IEEE International Conference on Multimedia and Expo (ICME), 2019
IEEE International Conference on Image Processing (ICIP), 2019, 2020, 2021
Senior Program Committee:
AAAI Conference on Artificial Intelligence (AAAI), 2019
International Joint Conference on Artificial Intelligence (IJCAI), 2019, 2020, 2021
Associate Editor:
Pattern Recognition (2022-)
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) (2019-2021)
Journal of Visual Communication and Image Representation (JVCI) (2019-)
Best Paper Selection Committee, 2019
Poster Chair
IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 2020
Program Committee:
Conference on Computer Vision and Pattern Recognition (CVPR), 2017, 2018, 2019, 2020
Neural Information Processing Systems (NeurIPS), 2020
International Conference on Learning Representations (ICLR), 2021
International Conference on Machine Learning (ICML), 2021
International Conference on Computer Vision (ICCV), 2019
European Conference on Computer (ECCV), 2018
International Joint Conference on Artificial Intelligence (IJCAI), 2017, 2018, 2019
ACM Multimedia (MM), 2017, 2018
AAAI Conference on Artificial Intelligence (AAAI), 2017, 2020
Journal Reviewer:
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
IEEE Transactions on Image Processing (TIP)
IEEE Transactions on Medical Imaging (TMI)
Medical Image Analysis (MIA)
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
Computer Vision and Image Understanding (CVIU)
ACM Transactions on Knowledge Discovery from Data (TKDD)
Selected Publications in 2022
Please see the full list here:
https://scholar.google.com/citations?hl=en&user=w69Buq0AAAAJ&view_op=list_works&sortby=pubdate
*indicates our student or research fellow
Deep Model Reassembly
Xingyi Yang*, Daquan Zhou*, Songhua Liu*, Jingwen Ye*, Xinchao Wang
Neural Information Processing Systems (NeurIPS), 2022 (Paper Award Nomination)Dataset Distillation via Factorization
Songhua Liu*, Kai Wang*, Xingyi Yang*, Jingwen Ye*, Xinchao Wang
Neural Information Processing Systems (NeurIPS), 2022Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning
Dongze Lian*, Daquan Zhou*, Jiashi Feng, Xinchao Wang
Neural Information Processing Systems (NeurIPS), 2022Inception Transformer
Chenyang Si^, Weihao Yu^*, Pan Zhou, Yichen Zhou, Xinchao Wang, Shuicheng Yan
Neural Information Processing Systems (NeurIPS), 2022 (Oral)Training Spiking Neural Networks with Local Tandem Learning
Qu Yang*, Jibin Wu, Malu Zhang*, Yansong Chua, Xinchao Wang, Haizhou Li
Neural Information Processing Systems (NeurIPS), 2022 (Oral)Learning with Recoverable Forgetting
Jingwen Ye*, Yifang Fu*, Jie Song, Xingyi Yang*, Songhua Liu*, Xin Jin*, Mingli Song, Xinchao Wang
European Conference on Computer Vision (ECCV), 2022DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation
Songhua Liu*, Jingwen Ye*, Sucheng Ren*, Xinchao Wang
European Conference on Computer Vision (ECCV), 2022Factorizing Knowledge in Neural Networks
Xingyi Yang*, Jingwen Ye*, Xinchao Wang
European Conference on Computer Vision (ECCV), 2022PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision
Kehong Gong*, Bingbing Li, Jianfeng Zhang*, Tao Wang*, Jing Huang, Michael Bi Mi, Jiashi Feng, Xinchao Wang
Computer Vision and Pattern Recognition (CVPR), 2022 (Oral)Shunted Self-Attention via Multi-Scale Token Aggregation
Sucheng Ren*, Daquan Zhou*, Shengfeng He, Jiashi Feng, Xinchao Wang
Computer Vision and Pattern Recognition (CVPR), 2022 (Oral)Metaformer is Actually What You Need for Vision
Weihao Yu*, Mi Luo*, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, Shuicheng Yan
Computer Vision and Pattern Recognition (CVPR), 2022 (Oral)Point2Seq: Detecting 3D Objects as Sequences
Yujing Xue*, Jiageng Mao, Minzhe Niu, Hang Xu, Michael Bi Mi, Wei Zhang, Xiaogang Wang, Xinchao Wang
Computer Vision and Pattern Recognition (CVPR), 2022