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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][中文主页]

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

I join the University of Electronic Science and Technology of China(UESTC) as a faculty member at the School of Computer Science and Engineering.
Two papers are accepted by ICCV 2019. Our work on Augmented Distribution Alignment, which provides a new analysis on semi-supervised learning from the perspective of distribution mismatch, is accepted as an oral paper. [Code] [Paper].
Our team won the second place at CVPR 2019 WAD D2-City & BDD100K Detection Domain Adaptation Challenge.
Code of Collaborative and Adervasial Networks (CAN) can be found here [Code].
Code of Domain Adaptive Faster R-CNN has been released [Code].
The paper of our WebVision database is available now [Arxiv] [Project Website] [CVPR 2017 Workshop][CVPR 2018 Workshop]
The codes of SHFA and HFA algorithms are available now[codes].
A fast implementation of kernel SVM+ is released. The codes of linear SVM+ will also be released soon. [codes].

Preprints

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]

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

	Balanced Sharpness-Aware Minimization for Imbalanced Regression Yahao Liu, Qin Wang, Lixin Duan, Wen Li. Proceedings of the International Conference on Computer Vision Conference(ICCV), 2025. [Paper] [Code]
	The Devil is in the Spurious Correlations: Boosting Moment Retrieval with Dynamic Learning Xinyang Zhou, Fanyue Wei, Lixin Duan, Angela Yao, Wen Li. Proceedings of the International Conference on Computer Vision Conference(ICCV), 2025. [Paper] [Code]
	GeoDepth: From Point-to-Depth to Plane-to-Depth Modeling for Self-Supervised Monocular Depth Estimation Haifeng Wu, Shuhang Gu, Lixin Duan, Wen Li. Proceedings of the Computer Vision and Pattern Recognition Conference(CVPR), 2025. [Paper] [Code]
	ResCLIP: Residual Attention for Training-free Dense Vision-language Inference Yuhang Yang, Jinhong Deng, Wen Li, Lixin Duan. Proceedings of the Computer Vision and Pattern Recognition Conference(CVPR), 2025. [Paper] [Code]
	S-INF: Towards Realistic Indoor Scene Synthesis via Scene Implicit Neural Field Zixi Liang, Guowei Xu, Haifeng Wu, Ye Huang, Wen Li, Lixin Duan. Proceedings of the AAAI Conference on Artificial Intelligence(AAAI), 2025. [Paper] [Code]
	Towards Unsupervised Model Selection for Domain Adaptive Object Detection Hengfu Yu, Jinhong Deng, Wen Li, Lixin Duan. Advances in Neural Information Processing Systems(NeurIPS), 2024. [Paper] [Code]
	Generalized Eigenvalue Problems with Generative Priors Zhaoqiang Liu, Wen Li, Junren Chen. Advances in Neural Information Processing Systems(NeurIPS), 2024. [Paper] [Code]
	Beyond Viewpoint: Robust 3D Object Recognition Under Arbitrary Views Through Joint Multi-part Representation Linlong Fan, Ye Huang, Yanqi Ge, Wen Li, Lixin Duan. European Conference on Computer Vision(ECCV), 2024. [Paper] [Code]
	Powerful and Flexible: Personalized Text-to-image Generation via Reinforcement Learning Fanyue Wei, Wei Zeng, Zhenyang Li, Dawei Yin, Lixin Duan, Wen Li. European Conference on Computer Vision(ECCV), 2024. [Paper] [Code]
	Learning Semantic Latent Directions for Accurate and Controllable Human Motion Prediction Guowei Xu, Jiale Tao, Wen Li, Lixin Duan. European Conference on Computer Vision(ECCV), 2024. [Paper] [Code]
	Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning Yanqi Ge, Qiang Nie, Ye Huang, Yong Liu, Chengjie Wang, Feng Zheng, Wen Li, Lixin Duan. Proceedings of the AAAI Conference on Artificial Intelligence(AAAI), 2024. [Paper] [Code]
	Learning Motion Refinement for Unsupervised Face Animation Jiale Tao, Shuhang Gu, Wen Li, Lixin Duan. Advances in Neural Information Processing Systems(NeurIPS), 2023. [Paper] [Code]
	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:

Co-organizer of CVPR 2020 Workshop on Visual Understanding by Learning from Web Data.

Co-organizer of ICCV 2019 Workshop on Transferring and Adapting Source Knowledge (TASK) in Computer Vision (CV).

Co-organizer of CVPR 2019 Workshop on Visual Understanding by Learning from Web Data.

Co-organizer of ECCV 2018 Workshop on Transferring and Adapting Source Knowledge (TASK) in Computer Vision (CV).

Co-organizer of CVPR 2018 Workshop on Visual Understanding by Learning from Web Data.

Co-organizer of ICCV 2017 Workshop on Transferring and Adapting Source Knowledge (TASK) in Computer Vision (CV).

Co-organizer of CVPR 2017 Workshop on Visual Understanding by Learning from Web Data.

Co-organizer of ECCV 2016 Workshop on Transferring and Adapting Source Knowledge (TASK) in Computer Vision (CV).

Co-organizer of ICDM 2015 Workshop on Practical Transfer Learning.

Conference Service:

Area Chair for CVPR 2024, AAAI 2023, AAAI 2021, WACV 2024, WACV 2023

Program Chair for MLSP 2021

Reviewer for Major Conferences including CVPR, ICCV, ECCV, ICLR, NeurIPS, ICML, etc.

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

CVPR 2019 Outstanding Reviewer

CVPR 2019 WAD D2-City & BDD100K Detection Domain Adaptation Challenge Second Place

ECCV 2016 Outstanding Reviewer

CVPR 2014 Doctoral Consortium

Nanyang Engineering Doctoral Scholarship 2010

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