Portrait
Haojun Jiang
AI for Healthcare & Robotics
Postdoc @ JHU
About Me

I work on AI for healthcare and robotics, with a particular focus on autonomous medical robots.

I am currently a postdoctoral researcher at Johns Hopkins University, working with Mathias Unberath and Axel Krieger.

Previously, I completed my Ph.D. at LEAPLab in the Department of Automation at Tsinghua University, under the supervision of Prof. Gao Huang, and was named a Beijing Outstanding Graduate and a Tsinghua Outstanding Graduate. At Tsinghua, I led research on autonomous robotic ultrasonography. Our carotid ultrasound robot UltraBot appeared in Nature Communications and was highlighted by the Chief Editor of Nature Biomedical Engineering. My Ph.D. thesis received the MICCAI Best Ph.D. Thesis First Runner-Up Award and the Tsinghua Excellent Doctoral Dissertation Award. Before that, I received my B.Eng. degree in Automation at Tsinghua University.

If you are interested in my research, please feel free to reach out—I would be happy to discuss potential ideas and opportunities for collaboration.

News

Oct 2026
Congratulations to Teng Wang on receiving China's National Scholarship at the end of his first year of Ph.D. study!
Sep 2026
Joined Johns Hopkins University as a postdoctoral fellow.
Sep 2026
Invited to serve as an Area Chair for CVPR 2027.
Sep 2026
Invited by Prof. Xiang Li and Prof. Zheng Li to present on robotic ultrasonography.
Jun 2026
Graduated with a Ph.D. from Tsinghua University, receiving the Tsinghua Excellent Doctoral Dissertation Award, Beijing Outstanding Graduate, and Tsinghua Outstanding Graduate honors.
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Jun 2026
UltraStar was accepted by MICCAI 2026. Congratulations to Teng Wang!
May 2026
VA-Adapter was early accepted by MICCAI 2026 (Top 9%) and won the Best Poster Award (1st/480) at the CAA Youth Academic Conference.
Mar 2026
Invited by Prof. Dong Ni to present on robotic ultrasonography.
Feb 2026
UltraBot was selected for Nature's collection on Medical devices for low-resource settings.
Feb 2026
Two humanoid-robot studies, DECO and MOSAIC, were released.
Feb 2026
Presented recent work on robotic ultrasound to Prof. David Ouyang's lab.
Jan 2026
UltraHiT was accepted by ICRA 2026—our first top-tier robotics conference paper.
Oct 2025
UltraBot was highlighted by the Chief Editor of Nature Biomedical Engineering on the October issue cover.
Oct 2025
Invited by Prof. Pranav Rajpurkar to present on robotic ultrasonography.
Oct 2025
UltraSeP was accepted by Pattern Recognition.
Sep 2025
Received the MICCAI Best Ph.D. Thesis First Runner-Up Award.
Sep 2025
Invited by Prof. Jiancheng Yang to present on robotic ultrasonography at HiT Webinar.
Sep 2025
AdaptiveNN was accepted by Nature Machine Intelligence.
Aug 2025
UltraBot was accepted by Nature Communications.

Research Highlights

Nature Biomedical Engineering highlight of UltraBot UltraBot highlighted by Nature Biomedical Engineering
MICCAI Best PhD Thesis First Runner-Up Award MICCAI Best Ph.D. Thesis First Runner-Up Award

Selected Publications

View all
UltraBot: Towards Expert-level Autonomous Carotid Ultrasonography with Large-scale Learning-based Robotic System
UltraBot: 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 (* equal contribution, † project lead)

Nature Communications 2025 IF = 18.1 Nature Biomedical Engineering Chief Editor Highlight

Abstract

A large-scale learning-based robotic system for autonomous carotid ultrasonography. The work was highlighted on the cover of Nature Biomedical Engineering and selected for Nature's collection on medical devices for low-resource settings.

[Paper] [Code] [Demo] [Highlight] [Talk]

UltraBot: Towards Expert-level Autonomous Carotid Ultrasonography with Large-scale Learning-based Robotic System
UltraBot: 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 (* equal contribution, † project lead)

Nature Communications 2025 IF = 18.1 Nature Biomedical Engineering Chief Editor Highlight

Abstract

A large-scale learning-based robotic system for autonomous carotid ultrasonography. The work was highlighted on the cover of Nature Biomedical Engineering and selected for Nature's collection on medical devices for low-resource settings.

[Paper] [Code] [Demo] [Highlight] [Talk]

Towards AI-guided Cardiovascular Ultrasonography with Large-scale Implicit Structural Learning
Towards AI-guided Cardiovascular Ultrasonography with Large-scale Implicit Structural Learning

Haojun Jiang, Gao Huang

MICCAI Doctoral Consortium 2025 MICCAI Best Ph.D. Thesis First Runner-Up Award

Abstract

A concise presentation of Haojun Jiang's Ph.D. thesis on large-scale implicit structural learning for AI-guided cardiovascular ultrasonography.

[Paper]

Towards AI-guided Cardiovascular Ultrasonography with Large-scale Implicit Structural Learning
Towards AI-guided Cardiovascular Ultrasonography with Large-scale Implicit Structural Learning

Haojun Jiang, Gao Huang

MICCAI Doctoral Consortium 2025 MICCAI Best Ph.D. Thesis First Runner-Up Award

Abstract

A concise presentation of Haojun Jiang's Ph.D. thesis on large-scale implicit structural learning for AI-guided cardiovascular ultrasonography.

[Paper]

UltraSeP: Sequence-aware Pre-training for Echocardiography Probe Guidance
UltraSeP: Sequence-aware Pre-training for Echocardiography Probe Guidance

Haojun Jiang, Teng Wang, Zhenguo Sun, Yulin Wang, Yue Yang, Yu Sun, Ning Jia, Meng Li, Shaqi Luo, Shiji Song, Gao Huang

Pattern Recognition 2025 IF = 9.1

Abstract

Masked vision-action pre-training captures patient-specific anatomical patterns from prior scanning sequences to improve echocardiography probe guidance across individual variability.

[Journal] [arXiv]

UltraSeP: Sequence-aware Pre-training for Echocardiography Probe Guidance
UltraSeP: Sequence-aware Pre-training for Echocardiography Probe Guidance

Haojun Jiang, Teng Wang, Zhenguo Sun, Yulin Wang, Yue Yang, Yu Sun, Ning Jia, Meng Li, Shaqi Luo, Shiji Song, Gao Huang

Pattern Recognition 2025 IF = 9.1

Abstract

Masked vision-action pre-training captures patient-specific anatomical patterns from prior scanning sequences to improve echocardiography probe guidance across individual variability.

[Journal] [arXiv]

UltraHiT: A Hierarchical Transformer Architecture for Generalizable Internal Carotid Artery Robotic Ultrasonography
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 (* equal contribution, ‡ mentored this work)

IEEE International Conference on Robotics and Automation (ICRA) 2026

Abstract

A hierarchical Transformer architecture for generalizable internal carotid artery robotic ultrasonography, combining the strengths of learning-based and knowledge-based guidance.

[Paper] [Code] [Demo]

UltraHiT: A Hierarchical Transformer Architecture for Generalizable Internal Carotid Artery Robotic Ultrasonography
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 (* equal contribution, ‡ mentored this work)

IEEE International Conference on Robotics and Automation (ICRA) 2026

Abstract

A hierarchical Transformer architecture for generalizable internal carotid artery robotic ultrasonography, combining the strengths of learning-based and knowledge-based guidance.

[Paper] [Code] [Demo]

UltraStar: Semantic-Aware Star Graph Modeling for Echocardiography Navigation
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 (* equal contribution, ‡ mentored this work)

Medical Image Computing and Computer Assisted Intervention (MICCAI) 2026

[Paper] [Code]

UltraStar: Semantic-Aware Star Graph Modeling for Echocardiography Navigation
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 (* equal contribution, ‡ mentored this work)

Medical Image Computing and Computer Assisted Intervention (MICCAI) 2026

[Paper] [Code]

Honors & Awards

  • Beijing Outstanding Graduate (Top 5 in the Department of Automation, THU)
    2026
  • Tsinghua Excellent Doctoral Dissertation Award (Top 5 in the Department of Automation, THU)
    2026
  • Tsinghua Outstanding Graduate (Top 5 in the Department of Automation, THU)
    2026
  • IEEE Robotics and Automation Society Travel Grant
    2026
  • Chinese Association of Automation Youth Academic Conference Best Poster Award (1st/480)
    2026
  • MICCAI Best Ph.D. Thesis First Runner-Up Award (ranked second among the three annual thesis awardees)
    2025
  • UltraBot: Nature Biomedical Engineering's Sole Chief Editor Highlight (October 2025 issue)
    2025
  • Tsinghua Outstanding Graduate
    2020

Academic Service

  • Area Chair: CVPR 2027
  • Journal reviewer: Nature Communications, IEEE T-RO, npj Digital Medicine, Medical Image Analysis, Scientific Data, Scientific Reports
  • Conference reviewer: CVPR, ICCV, ECCV, MICCAI

Recent Talks