Bio
Hello! Welcome to my homepage! I am Yu Wang, currently a senior research fellow at Tsinghua University. My research interests include machine learning theories (and their application on computer vision tasks), feature generalization theories, generative modeling, statistical machine learning, self-supervised learning, Bayesian inference, and sparse coding approaches.
Before, I was a senior research scientist at JD.com working with Prof. Tao Mei. Before joining JD, I was a postdoc research associate at The Department of Pure Mathematics and Mathematical Statistics (DPMMS) of University of Cambridge, UK, co-supervised by Prof. John Aston and Prof. Carola-Bibiane Schönlieb in 2016-2018. Before my postdoc training, I obtained my PhD degree in Computer Science from the Computer Science Department at the University of Cambridge UK in 2016. My PhD study was co-supervised by Dr. Ian Wassell and Dr. David Wipf (David is my internship mentor at Microsoft Research Asia).
Publications
( * indicate joint first authors with equal contributions )
- Out-of-Distribution Detection via Conditional Kernel Independence Model
Yu Wang*, Jingjing Zou*, Jingyang Lin, Qing Ling, Yingwei Pan, Ting Yao, Tao Mei
NeurIPS 2022 (spotlight)
- SPE-Net: Boosting Point Cloud Analysis via Rotation Robustness Enhancement
Zhaofan Qiu, Yehao Li, Yu Wang, Yingwei Pan, Ting Yao, Tao Mei
ECCV 2022
- A low rank promoting prior for unsupervised contrastive learning
Yu Wang, Jingyang Lin, Qi Cai, Yingwei Pan, Ting Yao, Hongyang Chao, Tao Mei
Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) 2022
- Improving self-supervised learning with automated unsupervised outlier arbitration
Yu Wang, Jingyang Lin, Jingjing Zou, Yingwei Pan, Ting Yao, Tao Mei
NeurIPS 2021
- Transferrable contrastive learning for visual domain adaptation
Yang Chen, Yingwei Pan, Yu Wang, Ting Yao, Xinmei Tian, Tao Mei
ACM MM 2021
- A style and semantic memory mechanism for domain generalization
Yang Chen, Yu Wang, Yingwei Pan, Ting Yao, Xinmei Tian, Tao Mei
ICCV 2021
- Joint contrastive learning with infinite possibilities
Qi Cai*, Yu Wang*, Yingwei Pan, Ting Yao, Tao Mei
NeurIPS 2020 (Spotlight, top 2%)
- Learning a unified sample weighting network for object detection
Qi Cai, Yingwei Pan, Yu Wang, Jingen Liu, Ting Yao, Tao Mei
CVPR 2020
- Transferrable prototypical networks for unsupervised domain adaptation
Yingwei Pan, Ting Yao, Yehao Li, Yu Wang, Chong-Wah Ngo, Tao Mei
CVPR 2019 (Oral)
- Artificial intelligence in breast imaging
EPV Le, Yu Wang, Yuan Huang, Sarah Hickman, Fiona J. Gilbert
Clinical Radiology 74 (5), 357-366
- Recurrent variational autoencoders for learning nonlinear generative models in the presence of outliers
Yu Wang*, Bin Dai*, Gang Hua, John Aston, David Wipf
IEEE Journal of Selected Topics in Signal Processing, vol. 12, no. 6, Dec. 2018
- Connections with robust PCA and the role of emergent sparsity in variational autoencoder models
Bin Dai, Yu Wang, John Aston, Gang Hua, David Wipf
Journal of Machine Learning Research, vol.19, no.1, Jan, 2018
- Green generative modeling: recycling dirty data using recurrent variational autoencoders
Yu Wang, Bin Dai, Gang Hua, John Aston, David Wipf
UAI 2017
- Simultaneous Bayesian sparse approximation with structured sparse models
Wei Chen, David Wipf, Yu Wang, Yang Liu, Ian J Wassell
IEEE Transactions on Signal Processing，vol. 64, no. 23, Sep, 2016
- Clustered sparse Bayesian learning.
Yu Wang, David P Wipf, Jeong-Min Yun, Wei Chen, Ian J Wassell
UAI 2015 (Oral, top 1%)
- Multi-task learning for subspace segmentation
Yu Wang, David Wipf, Qing Ling, Wei Chen, Ian Wassell
ICML 2015 (Oral)
- Exploiting the convex-concave penalty for tracking: A novel dynamic reweighted sparse Bayesian learning algorithm
Yu Wang, David Wipf, Wei Chen, Ian J Wassell
ICASSP 2014
- Exploiting hidden block sparsity: Interdependent matching pursuit for cyclic feature detection
Yu Wang, Wei Chen, Ian J Wassell
GLOBECOM 2013
Awards
1st Place at CVPR 2021 Open World Vision Grand Challenge
University of Cambridge Overseas Trust PhD Scholarship
University of Cambridge Girton College Travel Award
“Star of Tomorrow Internship Excellence Award”, Microsoft Research Asia