Xinchao Wang
Assistant Professor @ NUS, CDE, ECE
Director of Learning and Vision Lab (LV Lab)
xinchao-AT-nus.edu.sg
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
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.
Oct 2023. World's Top 2% Scientists, 2023.
Oct 2023. Keynote at InnovFest China 2023.
Jun 2023. Serving as an Associate Editor for IEEE Transactions on Image Processing (TIP).
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, 2022.
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 the 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), 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 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, 2024
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, 2024
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, 2024
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:
IEEE Transactions on Image Processing (TIP), since 2023
Pattern Recognition, since 2022
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2019 - 2021
Journal of Visual Communication and Image Representation (JVCI), since 2017
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)
Publications (selected) in 2023
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
Generator Born from Classifier
Runpeng Yu*, Xinchao Wang
Neural Information Processing Systems (NeurIPS), 2023MGDD: A Meta Generator for Fast Dataset Distillation,
Songhua Liu*, Xinchao Wang
Neural Information Processing Systems (NeurIPS), 2023LLM-Pruner: On the Structural Pruning of Large Language Models
Xinyin Ma*, Gongfan Fang*, Xinchao Wang
Neural Information Processing Systems (NeurIPS), 2023Structural Pruning for Diffusion Models
Gongfan Fang*, Xinyin Ma*, Xinchao Wang
Neural Information Processing Systems (NeurIPS), 2023GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph
Xin Li*, Dongze Lian*, Zhihe Lu*, Jiawang Bai*, Zhibo Chen, Xinchao Wang
Neural Information Processing Systems (NeurIPS), 2023Frequency-Enhanced Data Augmentation for Vision-and-Language Navigation
Keji He*, Chenyang Si, Zhihe Lu*, Yan Huang, Liang Wang, Xinchao Wang
Neural Information Processing Systems (NeurIPS), 2023Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation
Dapeng Hu*, Jian Liang, Jun Hao Liew, Chuhui Xue, Song Bai, Xinchao Wang
Neural Information Processing Systems (NeurIPS), 2023Diffusion Model as Representation Learner
Xingyi Yang*, Xinchao Wang
International Conference on Computer Vision (ICCV), 2023Few-Shot Dataset Distillation via Translative Pre-Training
Songhua Liu*, Xinchao Wang
International Conference on Computer Vision (ICCV), 2023SG-Former: Self-guided Transformer with Evolving Token Reallocation
Sucheng Ren*, Xingyi Yang*, Songhua Liu*, Xinchao Wang
International Conference on Computer Vision (ICCV), 2023Priority-Centric Human Motion Generation in Discrete Latent Space
Hanyang Kong*, Kehong Gong*, Dongze Lian*, Michael Bi Mi, Xinchao Wang
International Conference on Computer Vision (ICCV), 2023TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration
Kehong Gong*, Dongze Lian*, Heng Chang, Chuan Guo, Zihang Jiang*, Xinxin Zuo, Michael Bi Mi, Xinchao Wang
International Conference on Computer Vision (ICCV), 2023Reachability-Aware Laplacian Representation in Reinforcement Learning
Kaixin Wang*, Kuangqi Zhou*, Jiashi Feng, Bryan Hooi, Xinchao Wang
International Conference on Machine Learning (ICML), 2023Partial Network Cloning
Jingwen Ye*, Songhua Liu*, Xinchao Wang
International Conference on Computer Vision and Pattern Recognition (CVPR), 2023Slimmable Dataset Condensation
Songhua Liu*,J ingwen Ye*, Runpeng Yu*, Xinchao Wang
International Conference on Computer Vision and Pattern Recognition (CVPR), 2023Distribution Shift Inversion for Out-of-Distribution Generalization
Runpeng Yu*, Songhua Liu*, Xingyi Yang*, Xinchao Wang
International Conference on Computer Vision and Pattern Recognition (CVPR), 2023DepGraph: Towards Any Structural Pruning
Gongfan Fang*, Xinyin Ma*, Mingli Song, Michael Bi Mi, Xinchao Wang
International Conference on Computer Vision and Pattern Recognition (CVPR), 2023Task Residual for Tuning Vision-Language Models
Tao Yu*, Zhihe Lu*, Xin Jin*, Zhibo Chen, Xinchao Wang
International Conference on Computer Vision and Pattern Recognition (CVPR), 2023Diffusion Probabilistic Model Made Slim
Xingyi Yang*, Daquan Zhou*, Jiashi Feng, Xinchao Wang
International Conference on Computer Vision and Pattern Recognition (CVPR), 2023