Wangxuan Institute of Computer Technology, Peking University

No. 128, Zhongguancun North Street, Haidian District, Beijing, P.R. China, 100080

Phone: +86-10-62760690; Email: wyt@pku.edu.cn;

Research Interests

• Computer Vision and Pattern Recognition
• Autonomous Driving
• Deep Learning
• Artificial General Intelligence

Education

• Ph.D., Huazhong University of Science and Technology, Wuhan, Hubei, China (Dec. 2009)
• B.S., Huazhong University of Science and Technology, Wuhan, Hubei, China (Jun. 2004)

Working Experience

• Associate Professor, Peking University, Beijing, China (Aug. 2016~Present)
• Assistant Professor, Peking University, Beijing, China (Apr. 2011~Jul. 2016)
• Research Scientist, Temasek Lab@NTU, Singapore (Jan. 2010~Dec. 2010)

Honors & Awards

• Yang Fuqing & Wang Yangyuan Academician Scholarship, Peking University, 2024
• Outstanding Academic Collaboration Project, Ant Group, 2021
• Wang Xuan Young Teacher Award, Peking University, 2020
• Tan Chin Tuan Fellow, Nanyang Technological University, 2018
• Outstanding Tutor Award, CCF Big Data & Computing Intelligence Contest, 2016

AI Competition Prizes

• Ranked No. 1 in ECCV 2018: Vision Meets Drone Challenge (Task 2: Object Detection in Videos)
• Ranked No. 2 in CVPR 2018 Workshop: Autonomous Driving (Task 2: Road Object Detection)
• Ranked No. 1 in ICDAR 2017: Robust Reading Challenge on COCO-Text (Task 1: Text Localization)
• Ranked No. 2 in ICDAR 2017: Robust Reading Challenge on COCO-Text (Task 3: End-to-End)
• Ranked No. 1 in ICDAR 2017: Reading Chinese Text in the Wild (Task 1: Text Localization)

Selected Publications (*Corresponding author)

• Zhiwei Lin, Tingting Liang, Taihong Xiao, Yongtao Wang*, Ming-Hsuan Yang, “FlowNAS: Neural Architecture Search for Optical Flow Estimation”, International Journal of Computer Vision, 132, pp. 1055-1074, 2024.
• Zhiwei Lin, Zhe Liu, Zhongyu Xia, Xinhao Wang, Yongtao Wang*, Shengxiang Qi, Yang Dong, Nan Dong, Le Zhang, Ce Zhu, “RCBEVDet: Radar-camera Fusion in Bird’s Eye View for 3D Object Detection”, CVPR, 2024.
• Xiaoyu Zhou, Zhiwei Lin, Xiaojun Shan, Yongtao Wang*, Deqing Sun, Ming-Hsuan Yang, “Drivinggaussian: Composite gaussian splatting for surrounding dynamic autonomous driving scenes”, CVPR, 2024.
• Zhiwei Lin, Yongtao Wang*, Shengxiang Qi, Nan Dong, Ming-Hsuan Yang, “BEV-MAE: Bird's Eye View Masked Autoencoders for Outdoor Point Cloud Pre-training”, AAAI, 2024.
• Zhiwei Lin, Yongtao Wang∗, Zhi Tang, “Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts”, NeurIPS, 2024.
• Xiaoyu Zhou, Xingjian Ran, Yajiao Xiong, Jinlin He, Zhiwei Lin, Yongtao Wang*, Deqing Sun, Ming-Hsuan Yang, “GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting”, ICML, 2024.
• Zhongyu Xia, ZhiWei Lin, Xinhao Wang, Yongtao Wang*, Yun Xing, Shengxiang Qi, Nan Dong, Ming-Hsuan Yang, “HENet: Hybrid Encoding for End-to-end Multi-task 3D Perception from Multi-view Cameras”, ECCV, 2024.
• Zhihao Lin, Yongtao Wang*, Jinhe Zhang, Xiaojie Chu, “DynamicDet: A Unified Dynamic Architecture for Object Detection”, CVPR, 2023.
• Hao Huang, Ziyan Chen, Huanran Chen, Yongtao Wang*, Kevin Zhang,“T-SEA: Transfer-based Self-Ensemble Attack on Object Detection”, CVPR, 2023.
• Xiaoyu Zhou, Zhiwei Lin, Xiaojun Shan, Yongtao Wang*, Deqing Sun, Ming-Hsuan Yang, “SAMPLING: Scene-adaptive Hierarchical Multiplane Images Representation for Novel View Synthesis from a Single Image”, ICCV, 2023.
• Xuanyang Zhang, Yonggang Li, Xiangyu Zhang, Yongtao Wang, Jian Sun, “Differentiable Architecture Search with Random Features”, CVPR, 2023.
• Tingting Liang, Hongwei Xie, Kaicheng Yu, Zhongyu Xia, Zhiwei Lin, Yongtao Wang*, Tao Tang, Bing Wang, Zhi Tang, “BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework”, NeurIPS, 2022.
• Hao Huang, Yongtao Wang*, Zhaoyu Chen, Yuze Zhang, Yuheng Li, Zhi Tang, Wei Chu, Jingdong Chen, Weisi Lin, Kai-Kuang Ma, “CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes”, AAAI, 2022.
• Tingting Liang, Xiaojie Chu, Yudong Liu, Yongtao Wang*, Zhi Tang, Wei Chu, Jingdong Chen, and Haibin Ling, “CBNet: A Composite Backbone Network Architecture for Object Detection”, IEEE Transaction on Image Processing, 31, pp. 6893-6906, 2022.
• Huanqiang Zeng, Hailiang Huang, Junhui Hou, Jiuwen Cao, Yongtao Wang, Kai-Kuang Ma, “Screen Content Video Quality Assessment Model Using Hybrid Spatiotemporal Features”, IEEE Trans. on Image Processing, 31, pp. 6175-6187, 2022.
• Tingting Liang, Yongtao Wang*, Zhi Tang, Guosheng Hu, Haibin Ling, “OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection”, CVPR, 2021.
• Yonggang Li, Guosheng Hu, Yongtao Wang*, Timothy Hospedales,Neil M. Robertson, and Yongxin Yang, “DADA: Differentiable Automatic Data Augmentation”, ECCV, 2020.
• Jianwei Li, Yongtao Wang*, Haihua Xie, and Kai-Kuang Ma, “Learning a Single Model With a Wide Range of Quality Factors for JPEG Image Artifacts Removal”, IEEE Trans. on Image Processing, 29, pp. 8842-8854, 2020.
• Siwei Wang, Yudong Liu, Zheqi He, Yongtao Wang*, and Zhi Tang, “A quadrilateral scene text detector with two-stage network architecture”, Pattern Recognition, 102, pp. 1-9, 2020.
• Yudong Liu, Yongtao Wang*, Siwei Wang, Tingting Liang, Qijie Zhao, Zhi Tang, and Haibin Ling, “CBNet: A Novel Composite Backbone Network Architecture for Object Detection”, AAAI, 2020.
• Sheng Yang, Qiuping Jiang, Weisi Lin and Yongtao Wang, “SGDNet: An End-to-End Saliency-Guided Deep Neural Network for No-Reference Image Quality Assessment”, ACM Multimedia (MM), 2019.
• Yang Yi, Feng Ni, Yuexin Ma, Xinge Zhu, Yuankai Qi, Riming Qiu, Shijie Zhao, Feng Li and Yongtao Wang, “High Performance Gesture Recognition via Effective and Efficient Temporal Modeling”, IJCAI, 2019.
• Qijie Zhao, Tao Sheng, Yongtao Wang*, Zhi Tang, Ying Chen, Ling Cai and Haibin Ling, “M2Det: A Single-Shot Object detector based on Multi-Level Feature Pyramid Network”, AAAI, 2019.
• Zheqi He, Yafeng Zhou, Yongtao Wang*, Siwei Wang, Xiaoqing Lu, Zhi Tang, and Ling Cai, “An End-to-End Quadrilateral Regression Network for Comic Panel Extraction,” ACM Multimedia (MM), 2018.
• Yuan Liao, Xiaoqing Lu, Chengcui Zhang, Yongtao Wang, and Zhi Tang, “Mutual Enhancement for Detection of Multiple Logos in Sports Videos”, ICCV, 2017.
• Zheqi He, Yafeng Zhou, Yongtao Wang, and Zhi Tang, “SReN: Shape Regression Network for Comic Storyboard Extraction”, AAAI, 2017.
• Jinxin Zheng, Yongtao Wang*, and Zhi Tang, “Context-aware Geometric Object Reconstruction for Mobile Education”, ACM Multimedia (MM), 2016.
• Luyuan Li, Yongtao Wang*, Ching Y. Suen, Zhi Tang, and Dong Liu, “A Tree Conditional Random Field Model for Panel Detection in Comic Images”, Pattern Recognition, 2015.
• Chenqiang Gao, Deyu Meng, Yi Yang, Yongtao Wang, Xiaofang Zhou, and Alexander G. Hauptmann, “Infrared Patch-Image Model for Small Target Detection in a Single Image”, IEEE Trans. on Image Processing, 22(12), pp. 4996-5009, 2013.
• Yongtao Wang, Junbin Gong, Dazhi Zhang, Chenqiang Gao, Jinwen Tian, and Huanqiang Zeng, “Large Disparity Motion Layer Extraction via Topological Clustering”, IEEE Trans. on Image Processing, 20(1), pp. 43-52, 2011.

Professional Services

• Associate Editor of Pattern Recognition since April 15, 2024
• Senior Program Committee Member of AAAI 2023/2024
• Senior Program Committee Member of IJCAI 2021
• Area Chair of ICME 2021/2022/2023/2024
• Area Chair of WACV 2023/2024
• Publication Co-Chair of ISPACS 2017
• Advanced FinTech AI Competition 2023/2024, Expert Judge of the Evaluation Committee