LI, Wen

 

LI, Wen
Ph.D., Professor

Data Intelligence Group
B1-209, Main Building
University of Electronic Science and Technology of China (Qingshuihe Campus)
No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, Sichuan, P.R. China 611731

Email: liwenbnu AT gmail DOT com
 
[Google Scholar]

Biography

I am a professor with the School of Computer Science and Engineering, University of Electronic Science and Technology of China(SCSE, UESTC), leading the Data Intelligence Group(DIG).

I was working with Prof. Luc Van Gool as a postdoctoral researcher at the Computer Vision Laboratory, ETH Zurich, Switzerland. I obtained my PhD degree under the supervision of Prof. Dong Xu from the Nanyang Technological University(NTU) on 2015. I also worked closely with Prof. Ivor Wai-Hung Tsang during my PhD.

News

Preprints

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Revisiting Deep Semi-supervised Learning: An Empirical Distribution Alignment Framework and Its Generalization Bound

Feiyu Wang,  Qin Wang,  Wen Li, Dong Xu,  Luc Van Gool. arXiv: 2203.06639, 2022.
[Paper]

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WebVision Database: Visual Learning and Understanding from Web Data.

Wen Li, Limin Wang,  Wei Li,  Eirikur Agustsson,  Luc Van Gool. arXiv: 1708.02862, 2017.
[Paper][Database 2.0][Database 1.0][Workshop@CVPR 2020][Workshop@CVPR 2019][Workshop@CVPR 2018] [Workshop@CVPR 2017]

Selected Publications

 

Minimizing Maximum Model Discrepancy for Transferable Black-box Targeted Attacks

Anqi Zhao, Tong Chu, Yahao Liu, Wen Li, Jingjing Li, Lixin Duan.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR), 2023.
[Paper] [Code]

 

Harmonious Teacher for Cross-Domain Object Detection

Jinhong Deng, Dongli Xu, Wen Li, Lixin Duan.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
[Paper] [Code]

 

Motion Transformer for Unsupervised Image Animation

Jiale Tao, Biao Wang, Tiezheng Ge, Yuning Jiang, Wen Li, Lixin Duan.
European Conference on Computer Vision (ECCV), 2022.
[Paper]

 

Motion and Appearance Adaptation for Cross-domain Motion Transfer

Borun Xu, Biao Wang, Jinhong Deng, Jiale Tao, Tiezheng Ge, Yuning Jiang, Wen Li, Lixin Duan.
European Conference on Computer Vision (ECCV), 2022.
[Paper]

 

Denoised Maximum Classifier Discrepancy for Source-Free Unsupervised Domain Adaptation.

Tong Chu, Yahao Liu, Jinhong Deng, Wen Li, Lixin Duan.
AAAI Conference on Artificial Intelligence (AAAI), 2022.
[Paper]

 

Counterfactual Debiasing Inference for Compositional Action Recognition

Pengzhan Sun, Bo Wu, Xunsong Li, Wen Li, Lixin Duan, Chuang Gan.
ACM International Conference on Multimedia(MM), 2021.
[Paper]

 

STST: Spatial-Temporal Specialized Transformer for Skeleton-based Action Recognition

Yuhan Zhan, Bo Wu, Wen Li, Lixin Duan, Chuang Gan.
ACM International Conference on Multimedia(MM), 2021.
[Paper]

 

DLOW: Domain Flow and Applications.

Rui Gong, Wen Li*, Yuhua Chen, Dengxin Dai, Luc Van Gool.
International Journal of Computer Vision(IJCV), accepted, 2021.
[Paper]

 

Scale-Aware Domain Adaptive Faster RCNN.

Yuhua Chen, Haoran Wang, Wen Li*, Christos Sakaridis, Dengxin Dai, Luc Van Gool.
International Journal of Computer Vision(IJCV), vol. 129, pp. 2223-2243, 2021.
[Paper] [Code]

 

Unbiased Mean Teacher for Cross Domain Object Detection.

Jinhong Deng, Wen Li, Yuhua Chen, Lixin Duan.
IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), 2021.
[Paper] [Code]

 

The Heterogeneity Hypothesis: Finding Layer-wise Dissimilated Network Architecture.

Yawei Li, Wen Li, Martin Danelljan, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte。
IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), 2021.
[Paper] [Code]

 

SRDAN: Scale-aware and Range-aware Domain Adaptation Network for Cross-dataset 3D Object Detection.

Weichen Zhang, Wen Li, Dong Xu.
IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), 2021.
[Paper] [Code]

 

Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation.

Rui Gong, Yuhua Chen, Danda Pani Paudel, Yawei Li, Ajad Chhatkuli, Wen Li, Dengxin Dai, Luc Van Gool.
IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), 2021.
[Paper] [Code]

 

Off-policy Reinforcement Learning for Efficient and Effective GAN Architecture Search.

Yuan Tian, Qin Wang, Zhiwu Huang, Wen Li, Dengxin Dai, Minghao Yang, Jun Wang, Olga Fink European Conference on Computer Vision(ECCV), 2020.
[Paper] [Code]

 

Semi-Supervised Learning by Augmented Distribution Alignment.

Qin Wang,  Wen Li, Luc Van Gool.
IEEE International Conference on Computer Vision(ICCV),2019 (oral).
[Paper] [Code]

 

DLOW: Domain Flow for Adaptation and Generalization

Rui Gong,  Wen Li*,  Yuhua Chen,  Luc Van Gool
IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2019 (oral).
[Paper ] [ Code ]

 

Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach.

Yuhua Chen,  Wen Li*,  Xiaoran Chen, Luc Van Gool
IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2019.
[ Paper ] [ Code ]

 

Sliced Wasserstein Generative Models.

Jiqing Wu,  Zhiwu Huang,   Dinesh Acharya,  Wen Li,   Janine Thoma,   Danda Paudel,  Luc Van Gool.
IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2019.
[ Paper ] [ Code ]

 

Dividing and Aggregating Network for Multi-view Action Recognition

Dongang Wang, Wanli Ouyang, Wen Li, and Dong Xu
European Conference on Computer Vision (ECCV), 2018.
[Paper]

 

Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation

Yuguang Yan*, Wen Li*, Hanrui Wu, Huaqing Min, Mingkui Tan, Qingyao Wu (* contributed equally)
International Joint Conference on Artificial Intelligence (IJCAI), 2018.
[Paper][ Code ]

 

Domain Adaptive Faster R-CNN for Object Detection in the Wild

Yuhua Chen, Wen Li*, Christos Sakaridis, Dengxin Dai, and Luc Van Gool
IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2018.
[Paper][Code]

 

ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes

Yuhua Chen, Wen Li*, and Luc Van Gool
IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2018.
[Paper][ Code ]

 

Appearance-and-Relation Networks for Video Classification

Limin Wang, Wei Li, Wen Li, and Luc Van Gool
IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2018.
[Paper][Code]

 

Collaborative and Adversarial Network for Unsupervised Domain Adaptation

Weichen Zhang, Wanli Ouyang, Wen Li, and Dong Xu
IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2018 (spotlight).
[Paper][Code]

 

Unsupervised Domain Adaptation for Face Anti-Spoofing

Haoliang Li, Wen Li, Hong Cao, Shiqi Wang, Feiyue Huang, Alex C Kot
IEEE Transactions on Information Forensics and Security(T-IFS), vol. 13(7), pp. 1794-1809, July 2018.
[Paper][ Dataset]

 

Domain Generalization and Adaptation using Low Rank Exemplar SVMs

Wen Li, Zheng Xu, Dong Xu, Dengxin Dai, and Luc Van Gool
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 40(5), pp. 1114-1127, May 2018.
[PDF][Supplementary]

 

Visual Recognition in RGB Images and Videos by Learning from RGB-D Data

Wen Li, Lin Chen, Dong Xu, and Luc Van Gool
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 40(8), pp. 2030-2036, Aug. 2018.
[PDF]

 

An Exemplar-Based Multi-View Domain Generalization Framework for Visual Recognition

Li Niu, Wen Li, Dong Xu, and Jianfei Cai
IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), vol. 29(2), pp. 259-272, Feb. 2018.
[PDF][Code]

 

Visual Recognition by Learning from Web Data via Weakly Supervised Domain Generalization

Li Niu, Wen Li, Dong Xu, and Jianfei Cai
IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), vol. 28(9), pp. 1985-1999, Sept. 2017.
[PDF][Code]

 

Fast Algorithms for Linear and Kernel SVM+

Wen Li, Dengxin Dai, Mingkui Tan, Dong Xu, and Luc Van Gool.
IEEE International Conference on Computer Vision and Pattern Recognition(CVPR),2016.
[PDF] [Code][Errata]

 

Exploiting Privileged Information from Web Data for Action and Event Recognition

Li Niu, Wen Li*, and Dong Xu (* correspondng author)
International Journal of Computer Vision (IJCV) , vol. 118(2), pp. 130-150, Jun. 2016.
[PDF][Code]

 

Co-Labeling for Multi-view Weakly Labeled Learning

Xinxing Xu*, Wen Li*,Dong Xu, and Ivor Tsang (* contributed equally).
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 38(6), pp. 1113-1125, Jun 2016.
[PDF]

 

Multi-view Domain Generalization for Visual Recognition

Li Niu, Wen Li, and Dong Xu.
IEEE International Conference on Computer Vision(ICCV), 2015.
[PDF][Code][Slides]

 

Visual Recognition by Learning From Web Data: A Weakly Supervised Domain Generalization Approach

Li Niu, Wen Li, and Dong Xu.
IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), pp. 2774-2783 ,2015.
[PDF][Code][Slides]

 

Flowing on Riemannian Manifold: Domain Adaptation by Shifting Covariance

Zhen Cui, Wen Li, Dong Xu, Shiguang Shan, Xilin Chen, and Xuelong Li
IEEE Transactions on Cybernetics , vol. 44(12), pp. 2264-2273, Nov 2014.
[PDF]

 

Learning with Augmented Features for Supervised and Semi-supervised Heterogeneous Domain Adaptation

Wen Li, Lixin Duan, Dong Xu, and Ivor W.H. Tsang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), vol. 36(6), pp. 1134-1148, JUN 2014.
[PDF] [Supplementary][Code]

 

Exploiting Low-rank Structure from Latent Domains for Domain Generalization

Zheng Xu, Wen Li, Li Niu, and Dong Xu.
European Conference on Computer Vision,(ECCV), pp. 628-643, 2014.
[PDF][Code][Slides]

 

Exploiting Privileged Information from Web Data for Image Categorization

Wen Li*, Li Niu*, and Dong Xu.(* contributed equally)
European Conference on Computer Vision,(ECCV), pp. 437-452, 2014.
[PDF][Code][Slides]

 

Recognizing RGB Images by Learning from RGB-D Data

Lin Chen, Wen Li, and Dong Xu
IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), pp. 1418-1425, 2014.
[PDF]

Services

Workshop Organizers:

Conference Service:

Journal Reviewer:

  • IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)
  • International Journal of Computer Vision (IJCV)
  • Journal of Machine Learning Research (JMLR)
  • IEEE Transactions on Image Processing (T-IP)
  • IEEE Transactions on Information Forensics & Security (T-IFS)
  • IEEE Transactions on Neural Networks and Learning Systems (T-NNLS)
  • IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT)

Teaching

  • Fall 2021, 2022: Artificial Intelligence, University of Electronic Science and Technology of China (UESTC), Lecturer
  • Spring 2020, 2021, 2022: Introduction to Artificial Intelligence, University of Electronic Science and Technology of China (UESTC), Lecturer
  • Fall 2016: Computer Vision, ETH Zurich, Teaching Assistant
  • Spring 2013: Engineering Mathematics, Nanyang Technological University, Teaching Assistant
  • Fall 2012: Discrete Mathematics, Nanyang Technological University, Teaching Assistant
  • Spring 2012: Data Structures, Nanyang Technological University, Teaching Assistant

Awards