Tingwu Wang

Tingwu Wang
Senior research scientist at Nvidia. Email = wilsonwanguoft @ .com

CV | Google Scholar | Github | Twitter | LinkedIn

I am a senior research scientist in Nvidia's Generalist Embodied Agent Research (GEAR) team. Previously I obtained my PhD in University of Toronto, proudly advised by Prof. Sanja Fidler and Prof. Jimmy Ba. My name is pronounced as Ting-Wu, and it means "midday" in Chinese.

My research experience ranges widely from developing animation motion engines to deploying real robots. Since my PhD, I have been dedicated to exploring a central theme: creating scalable, robust, and generalist motion skills that seamlessly bridge the virtual and real worlds.

Education

PhD in Computer Science @ University of Toronto Jan. 2018 - June. 2022
Toronto, Ontario, Canada Advisor: Prof. Sanja Fidler and Prof. Jimmy Ba

MSc in Computer Science @ University of Toronto Aug. 2016 - Jan. 2018
Toronto, Ontario, Canada, GPA: 4.0/4.0 Advisor: Prof. Sanja Fidler

BSc in Electronic Engineering @ Tsinghua University Sep. 2012 - Jun. 2016
Beijing, P. R. China Advisor: Prof. Xing Li

Visitor in Electronic Information @ Technischen Universität München Sep. 2014 - Feb. 2015
Munich, Bavaria, Germany

Publications and Patents* equal contribution.

	SONIC: Supersizing Motion Tracking for Natural Humanoid Whole-Body Control Zhengyi Luo, Ye Yuan, Tingwu Wang, Chenran Li, Sirui Chen, Fernando Castañeda, Zi-Ang Cao, Jiefeng Li, David Minor, Qingwei Ben, Xingye Da, Runyu Ding, Cyrus Hogg, Lina Song, Edy Lim, Eugene Jeong, Tairan He, Haoru Xue, Wenli Xiao, Zi Wang, Simon Yuen, Jan Kautz, Yan Chang, Umar Iqbal, Linxi "Jim" Fan^‡, Yuke Zhu^‡ arXiv preprint, 2025 Paper \| Project \| Arxiv
	Machine Learning Models for Generative Human Motion Simulation Xue Bin Peng, Ye Yuan, Davis Rempe, Umar Iqbal, Or Litany, Tingwu Wang, Chen Tessler, Jan Kautz, Sanja Fidler & Michael Buttner Patent, 2025 Link \| Talk
	Synthesizing Physical Character-Scene Interactions Mohamed Hassan, Yunrong Guo, Tingwu Wang, Michael Black, Sanja Fidler & Xue Bin Peng SIGGRAPH, 2023 Video \| Arxiv \| Project Webpage
	Learning Scalable Physics-based Motion Skills with Reinforcement Learning Tingwu Wang PhD Thesis, 2022 Project Webpage
	Physics-based Human Motion Estimation and Synthesis from Videos Kevin Xie, Tingwu Wang, Umar Iqbal, Yunrong Guo, Sanja Fidler & Florian Shkurti International Conference on Computer Vision, ICCV, 2021 Two Minute Papers \| Arxiv \| Project Webpage
	UniCon: Universal Neural Controller For Physics-based Character Motion Tingwu Wang, Yunrong Guo, Maria Shugrina & Sanja Fidler Arxiv, 2020 Project Webpage \| Arxiv \| Teaser Demo \| Video \| PDF
	Learning to Generate Diverse Dance Motions with Transformer Jiaman Li, Yihang Yin, Hang Chu, Yi Zhou, Tingwu Wang, Sanja Fidler & Hao Li Arxiv, 2020 Arxiv \| Video \| Code
	Benchmarking Model-Based Reinforcement Learning Tingwu Wang, Xuchan Bao, Ignasi Clavera, Jerrick Hoang, Yeming Wen, Eric Langlois, Shunshi Zhang, Guodong Zhang, Pieter Abbeel & Jimmy Ba Arxiv, 2019 Code \| Project Page \| Arxiv \| PDF
	Exploring Model-based Planning with Policy Networks Tingwu Wang & Jimmy Ba 8th International Conference on Learning Representations (ICLR), 2020 Code \| Arxiv
	Neural Graph Evolution: Towards Efficient Automatic Robot Design Tingwu Wang, Henry Zhou, Sanja Fidler & Jimmy Ba 7th International Conference on Learning Representations (ICLR), 2019 Project Webpage \| Slides \| OpenReview \| Code \| Video \| Arxiv
	NerveNet: Learning Structured Policy with Graph Neural Networks Tingwu Wang, Renjie Liao, Jimmy Ba & Sanja Fidler 6th International Conference on Learning Representations (ICLR), 2018 Project Webpage \| Video \| OpenReview \| Slides
	VirtualHome: Simulating Household Activities via Programs Xavier Puig, Kevin Ra, Marko Boben, Jiaman Li, Tingwu Wang, Sanja Fidler & Antonio Torralba Conference on Computer Vision and Pattern Recognition (CVPR), 2018 (Oral) Project Webpage \| Slides \| Talk \| Arxiv \| BBC News \| MIT News
	Access Points Selection in Super WiFi Network Powered by Solar Energy Harvesting Tingwu Wang, Chunxiao Jiang & Yong Ren IEEE Wireless Communications and Networking Conference (WCNC), 2016 PDF \| IEEE Webpage
	Access Strategy in Energy Harvesting Super WiFi Network: A POMDP Method Tingwu Wang, Jian Wang, Chunxiao Jiang, Jingjing Wang & Yong Ren IEEE 83rd Vehicular Technology Conference (VTC), 2016 PDF \| Arxiv \| IEEE Webpage \| Code
	Costume Detection and Attribute Value Identification Method and System Qiu Shi, Po Man Cheng, Tingwu Wang, Yan Xia & Wei Zhang. Patent: CN105447529 A, 2016. Work done as an intern in SenseTime. Contributions used in DeepFashion.

Teaching

Teaching Assistant, CSC 420: Introduction to Image Understanding Aug. 2016 - Dec. 2016
Teaching Assistant, CSC 320: Introduction to Visual Computing Jan. 2017 - Mar. 2017
Teaching Assistant, CSC 411: Introduction to Machine Learning Aug. 2017 - Jan. 2018
Teaching Assistant, CSC 411: Machine Learning and Data Mining Jan. 2018 - Mar. 2018
Teaching Assistant, CSC 2541: Topics in Machine Learning: Deep Reinforcement Learning Aug. 2018 - Jan. 2019
Teaching Assistant, CSC 2621: Topics in Robotics: Deep Reinforcement Learning Jan. 2020 - Mar. 2020

Tutorial

Tutorial on Trust Region Policy Optimization
Tutorial on model-based RL: A Step Closer to Model Based Reinforcement Learning
Tutorial on Reinforcement Learning: Policy Gradient in CSC 411: Introduction to Machine Learning
Tutorial on Reinforcement Learning: Q-Learning in CSC 411: Introduction to Machine Learning
Tutorial on Semantic Segmentation in CSC 420: Introduction to Image Understanding
Tutorial on Recurrent Neural Network in CSC2541: Sport Analytics

About Myself (

or Ting-Wu Wang)

I was born in Changsha. I was named by my grandfather, where "Ting-wu" means "the exact midday". The name comes from the Commentary on the Water Classic written by an ancient Chinese geographer called Li Daoyuan:
"To witness the Sun and the Moon, one shall wait until the exact midday or midnight."

Last Update: July, 2023; special thanks to Mr. Zhicong Lu, Mr. Ziyu Zhang, Mr. Bin Yang, Ms. Rachel Ye,
my supervisor Prof. Sanja Fidler for their help when I first arrived in this country. Thank you Mia Ma for being by my side :)!
Your help is so important to me, and I will always be grateful ;P
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