Teng Wang

Ph.D. Student

Department of Automation, Tsinghua University
Beijing, China

Email: t-wang25 [at] mails [dot] tsinghua [dot] edu [dot] cn

Biography

I am a first-year Ph.D. student in the Department of Automation at Tsinghua University, supervised by Prof. Gao Huang at LeapLab. I work with lab members Haojun Jiang, Chenxi Li, and Diwen Wang. Before that, I obtained my B.Eng. degree from Nankai University.

My research interests include Embodied AI, Robot Learning, and Robotic Ultrasound.

News

[06/2026] One paper was accepted by MICCAI 2026.
[05/2026] Won the Best Poster Award (1st/480) at YAC 2026.
[05/2026] One paper was early accepted by MICCAI 2026 (Top 9%).
[01/2026] One paper was accepted by ICRA 2026.

Publications

* indicates equal contribution.

Preprint
	EchoBot: End-to-end Generalizable Robotic Echocardiography via an Implicit Cardiac World Model Haojun Jiang, Teng Wang, Chenxi Li, Diwen Wang, Yujiao Deng, Yulin Wang, Xiangjie Yan, Renping Zhou, Yang Yue, Ning Jia, Yu Sun, Meng Li, Shaqi Luo, Zhenguo Sun, Guocai Yao, Junxuan Yu, Jiongtong Hu, Yukun Luo, Lin Li, Dan Zhao, Rui Li, Jiaming Tan, Pan Liu, Xiang Li, Xin Yang, Wufeng Xue, Gang Wang, Shiji Song, Kunlun He, Gao Huang Nature under review*
Journal Papers
	Towards expert-level autonomous carotid ultrasonography with large-scale learning-based robotic system Haojun Jiang, Andrew Zhao, Qian Yang, Xiangjie Yan, Teng Wang, Yulin Wang, Ning Jia, Jiangshan Wang, Guokun Wu, Yang Yue, Shaqi Luo, Huanqian Wang, Ling Ren, Siming Chen, Pan Liu, Guocai Yao, Wenming Yang, Shiji Song, Xiang Li, Kunlun He, Gao Huang Nature Communications 2025 (IF = 17.2)* This work was highlighted by the Chief Editor of Nature Biomedical Engineering in the October issue—the ONLY one of four featured studies to be highlighted by the editor-in-chief, alongside a Science and two Nature Medicine articles. [paper] [code]
	UltraSeP: Sequence-aware Pre-training for Echocardiography Probe Movement Guidance Haojun Jiang, Teng Wang, Zhenguo Sun, Yulin Wang, Yang Yue, Yu Sun, Ning Jia, Meng Li, Shaqi Luo, Shiji Song, Gao Huang Pattern Recognition 2026 (IF = 7.6) [paper]
Conference Papers
	UltraStar: Semantic-Aware Star Graph Modeling for Echocardiography Navigation Teng Wang, Haojun Jiang, Chenxi Li, Diwen Wang, Yihang Tang, Zhenguo Sun, Yujiao Deng, Shiji Song, Gao Huang MICCAI 2026 [paper] [code]
	VA-Adapter: Adapting Ultrasound Foundation Model to Echocardiography Probe Guidance Teng Wang, Haojun Jiang, Yuxuan Wang, Zhenguo Sun, Shiji Song, Gao Huang MICCAI 2026 Early Accept (Top 9%) This work was presented at YAC 2026 and won the Best Poster Award (1st/480). [paper] [code]
	UltraHiT: A Hierarchical Transformer Architecture for Generalizable Internal Carotid Artery Robotic Ultrasonography Teng Wang, Haojun Jiang, Yuxuan Wang, Zhenguo Sun, Xiangjie Yan, Xiang Li, Gao Huang ICRA 2026* [paper] [project page] [code]
	Deep Reinforcement Learning-Based Swing Suppression Control for Unmanned Multirotor Transportation System Teng Wang, Shunxuan Wang, Yi Chai, Xiao Liang ICMA 2024 Oral

Awards

2026 Youth Academic Annual Conference of Chinese Association of Automation (YAC) Best Poster Award (1st/480)
National Scholarship (Highest scholarship given by the government of China)
Outstanding Bachelor's Degree Graduates at Nankai University
Xing-Shen Chen Scholarship at Nankai University
Gold Award, 9th China International Internet+ Innovation and Entrepreneurship Competition
National Second Prize, National Undergraduate Electronic Design Contest (TI Cup), 2023
First Prize, 9th North China Five-Province Undergraduate Robotics Competition (Finals)
First Prize, 14th National Undergraduate Mathematics Competition

Education

Tsinghua University

Ph.D. Student, Department of Automation

Advisor: Gao Huang

Sep. 2025 - Future

Nankai University

Bachelor, School of Artificial Intelligence

Sep. 2021 - Jun. 2025

Overall rank: 1/132

Preprint
	EchoBot: End-to-end Generalizable Robotic Echocardiography via an Implicit Cardiac World Model Haojun Jiang, Teng Wang, Chenxi Li, Diwen Wang, Yujiao Deng, Yulin Wang, Xiangjie Yan, Renping Zhou, Yang Yue, Ning Jia, Yu Sun, Meng Li, Shaqi Luo, Zhenguo Sun, Guocai Yao, Junxuan Yu, Jiongtong Hu, Yukun Luo, Lin Li, Dan Zhao, Rui Li, Jiaming Tan, Pan Liu, Xiang Li, Xin Yang, Wufeng Xue, Gang Wang, Shiji Song, Kunlun He, Gao Huang Nature under review*
Journal Papers
	Towards expert-level autonomous carotid ultrasonography with large-scale learning-based robotic system Haojun Jiang, Andrew Zhao, Qian Yang, Xiangjie Yan, Teng Wang, Yulin Wang, Ning Jia, Jiangshan Wang, Guokun Wu, Yang Yue, Shaqi Luo, Huanqian Wang, Ling Ren, Siming Chen, Pan Liu, Guocai Yao, Wenming Yang, Shiji Song, Xiang Li, Kunlun He, Gao Huang Nature Communications 2025 (IF = 17.2)* This work was highlighted by the Chief Editor of Nature Biomedical Engineering in the October issue—the ONLY one of four featured studies to be highlighted by the editor-in-chief, alongside a Science and two Nature Medicine articles. [paper] [code]
	UltraSeP: Sequence-aware Pre-training for Echocardiography Probe Movement Guidance Haojun Jiang, Teng Wang, Zhenguo Sun, Yulin Wang, Yang Yue, Yu Sun, Ning Jia, Meng Li, Shaqi Luo, Shiji Song, Gao Huang Pattern Recognition 2026 (IF = 7.6) [paper]
Conference Papers
	UltraStar: Semantic-Aware Star Graph Modeling for Echocardiography Navigation Teng Wang, Haojun Jiang, Chenxi Li, Diwen Wang, Yihang Tang, Zhenguo Sun, Yujiao Deng, Shiji Song, Gao Huang MICCAI 2026 [paper] [code]
	VA-Adapter: Adapting Ultrasound Foundation Model to Echocardiography Probe Guidance Teng Wang, Haojun Jiang, Yuxuan Wang, Zhenguo Sun, Shiji Song, Gao Huang MICCAI 2026 Early Accept (Top 9%) This work was presented at YAC 2026 and won the Best Poster Award (1st/480). [paper] [code]
	UltraHiT: A Hierarchical Transformer Architecture for Generalizable Internal Carotid Artery Robotic Ultrasonography Teng Wang, Haojun Jiang, Yuxuan Wang, Zhenguo Sun, Xiangjie Yan, Xiang Li, Gao Huang ICRA 2026* [paper] [project page] [code]
	Deep Reinforcement Learning-Based Swing Suppression Control for Unmanned Multirotor Transportation System Teng Wang, Shunxuan Wang, Yi Chai, Xiao Liang ICMA 2024 Oral