Nov. 2013–Jul.2014, Visiting Graduate Student, CSAIL, MIT

Sep.2011 – Jul.2017, Ph.D. Control Science and Engineering, Tsinghua University

Sep.2007 – Jul.2011, B.Eng. Department of Automation, Tsinghua University

Dec.2024 – present   Associate Researcher at Beijing National Research Center for Information Science and Technology, Tsinghua University

Sep.2022 – Dec.2024  Assistant Researcher at Beijing National Research Center for Information Science and Technology, Tsinghua University

Jul.2017 – Sep.2022, Senior Researcher at Microsoft Research Asia

CAAI Meta Universe Technology Committee Member

（1）Computational Imaging and Display

（2）3D AIGc

（3）Computer vision

My research field lies in 3D visual information perception, computation, and display interaction. Addressing the challenges of difficulty in 3D visual information perception, poor interaction, and slow control, I propose new algorithms for efficient 3D visual perception and reconstruction. Additionally, I introduce new mechanisms for concept-level controllable generation and interaction of visual content. Furthermore, I develop new systems for data processing and light control tailored for 3D display.

（1）Second Prize in Science and Technology Progress Award from the China Institute of Electronics（2023）

[1] A neural network for long-term super-resolution imaging of live cells with reliable confidence quantification. Chang Qiao, Shuran Liu, Yuwang Wang, Wencong Xu, Xiaohan Geng, Tao Jiang, Jingyu Zhang, Quan Meng, Hui Qiao, Dong Li & Qionghai Dai. Nature Biotechnology 2025.

[2] Insufficient task description can impair in-context learning: A study from information perspective. Meidai Xuanyuan, Tao Yang, Jingwen Fu, Sicheng Zhao, Yuwang Wang. Information Fusion 2025.

[3] S2R-DepthNet: Learning a Generalizable Depth-specific Structural Representation. Xiaotian Chen, Yuwang Wang*, Xuejin Chen, Wenjun Zeng. CVPR 2021 (CCF-A, oral).

[4] Visual Concept Tokenization. Tao Yang, Yuwang Wang*, Yan Lu, Nanning Zheng. NeurIPS 2022. (CCF-A)

[5] Template-guided Hierarchical Feature Restoration for Anomaly Detection. Hewei Guo, Liping Ren, Jingjing Fu, Yuwang Wang*, Zhizheng Zhang, Cuiling Lan, Haoqian Wang, Xinwen Hou. ICCV 2023. (CCF-A)

[6] DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models. Tao Yang; Yuwang Wang*; Yan Lu; Nanning Zheng. NeurIPS 2023. (CCF-A)

[7] Incremental Residual Concept Bottleneck Models. Chenming Shang, Shiji Zhou, Hengyuan Zhang, Xinzhe Ni, Yujiu Yang, Yuwang Wang*. CVPR 2024 . (CCF-A)