My name is Haojun Jiang (蒋昊峻). I’m currently a Ph.D. candidate at LEAPLab, Department of Automation, Tsinghua University, advised by Prof. Gao Huang.
I currently lead the Autonomous Robotic Ultrasonography research (Demos for UltraBot/UltraHiT) thrust in the LEAPLab, working with lab members Teng Wang, Chenxi Li, and Diwen Wang, and in collaboration with Zhenguo Sun at BAAI. Our long-term goal is to achieve intelligent and automated ultrasonography, evolving from single-organ to multi-organ examination, from standardization to personalization, and ultimately extending from examination to ultrasound-guided autonomous robotic intervention.
Recently, the carotid ultrasound robot project I led was accepted by Nature Communications! Also, I am honored to receive the First Runner-Up Award at the MICCAI 2025 for my Ph.D. thesis. This recognition reflects the impactful work we’re doing in Robotic Ultrasonography. If you are seeking any form of academic cooperation, please feel free to contact me.
I am expected to graduate in June 2026 and am currently exploring future opportunities. If you are interested in my research, please do not hesitate to contact me.
📫 Email: jianghaojunthu at 163.com
🔥 News
- 2025.10: 🎉 UltraSeP is accepted by Pattern Recognition (IF=7.6)!
- 2025.09: 🎉 First Runner-Up Award at the MICCAI 2025 for my Ph.D. Thesis!
- 2025.08: 🎉 Carotid Ultrasound Robot is accepted by Nature Communications (IF=17.2)!
📝 Publications
📚 Summary of Work
Towards AI-guided Cardiovascular Ultrasonography with Large-scale Implicit Structural Learning
Haojun Jiang, Gao Huang
MICCAI Doctoral Consortium 2025 (Long Oral & First Runner-Up Award)
[Paper][Brief Intro Video][Poster]
- This is a brief version of my Ph.D. Thesis.
- Academic Impact: Our work is revices First Runner-Up Award on MICCAI 2025, competing against outstanding Ph.D. from top universities such as Johns Hopkins University and Stanford University. This recognition reflects the impactful work we’re doing in Robotic Ultrasonography.
🤖 Embodied Medical Robot
🏨 Focus on Carotid Artery
[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 (🏀 Project Lead, 🌟 Equal Contribution)
Nature Communications 2025 (5-year IF=17.2)
[Paper][Code][Demo][Poster][HiT Webinar Talk]
- This is the second Robotic Ultrasonography paper on Nature Sub-journal, and the first Nature Sub-journal paper for LEAPLab.
- Academic Impact: Our work is promoted by many media and forums, over 10k+ reads and 800+ shares, such as [清华新闻 Tsinghua News],[清华自动化新闻 Tsinghua DA News],[北京智源报道 BAAI News],[医工学人报道 Medical & Engineering Innovators],[CVer 报道].
[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, 🏀 Mentor)
arXiv 2025
- This work focuses on the more challenging ICA vessels, integrating the advantages of both learning-based and knowledge-based methods.
- Academic Impact: Our work is promoted by [医工超人] with over 1.3k+ reads and 150+ shares.
🫀 Focus on Heart (Echocardiography)
[UltraBot-Cardiac] Autonomous Echocardiography (TTE) Robotic System
Under Progress
[清华自动化系介绍视频 Tsinghua DA News][新京报 The Beijing News]
- To the best of our knowledge, this is the first generalizable robotic system for cardiac ultrasound.
- Potential Academic Impact: This work will establish a MILESTONE in robotic ultrasound by demonstrating a generalizable, learning-based system that automates cardiac scanning—one of the most difficult organs in ultrasonography.
[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=7.6)
[Paper]
- This work addresses individual variability by leveraging masked vision-action pretraining to enhance the model’s ability to capture patient-specific anatomical patterns from historical scanning sequences.
[UltraCopilot] Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model
Haojun Jiang🏀🌟, Zhenguo Sun🌟, Ning Jia, Meng Li, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang (🏀 Project Lead, 🌟 Equal Contribution)
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2024 Early Accept
[Paper]
- This work introduces a pre-training strategy for learning the 3D cardiac anatomy, with the goal of facilitating downstream echocardiography probe navigation.
MICCAI ASMUS Oral 2024Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train, Haojun Jiang🌟, Meng Li🌟, Zhenguo Sun🌟, et al.arXiv 2025VA-Adapter: Adapting Ultrasound Foundation Model to Echocardiography Probe Guidance, Teng Wang🌟, Haojun Jiang🌟 et al.CVPR 2025EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance, Yang Yue🌟, Yulin Wang🌟, Haojun Jiang, et al.
🌈 Multi-modal Learning
Cross-modal Adapter for Vision–Language Retrieval 
Haojun Jiang, Jianke Zhang, Rui Huang, Chunjiang Ge, Zanlin Ni, Shiji Song, Gao Huang
Pattern Recognition 2025 (IF=7.6)
[Paper-Journal][Paper-arXiv][Code]
- This work introduces an Adapter designed to promote cross-modal information fusion.
Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding 
Haojun Jiang🏀🌟, Yuanze Lin🌟, Dongchen Han, Shiji Song, Gao Huang (🏀 Project Lead, 🌟 Equal Contribution)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
- This work pioneers unsupervised learning in the field of visual grounding.
Pattern Recognition 2024Joint Representation Learning for Text and 3D Point Cloud, Rui Huang🌟, Xuran Pan🌟, Henry Zheng, Haojun Jiang, et al.
🏃♀️ Efficient Deep Learning
CondenseNet V2: Sparse Feature Reactivation for Deep Networks
Le Yang🏀🌟, Haojun Jiang🌟, Ruojin Cai, Yulin Wang, Shiji Song, Gao Huang, Qi Tian (🏀 Project Lead, 🌟 Equal Contribution)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021
- This work presents a lightweight architecture based on a sparse activation mechanism, suitable for edge inference scenarios like intelligent ultrasound scanning.
Nature Machine Intelligence 2025Emulating Human-like Adaptive Vision for Efficient and Flexible Machine Visual Perception, Yulin Wang🌟, Yang Yue🌟, Yang Yue🌟, Huanqian Wang, Haojun Jiang, et al.ICCV 2023Deep Incubation: Training Large Models by Divide-and-Conquering, Zanlin Ni🌟, Yulin Wang🌟, Jiangwei Yu, Haojun Jiang, et al.CVPR 2022AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition, Yulin Wang🌟, Yue Yang🌟, Yuanze Lin, Haojun Jiang, et al.TPAMI 2022Glance and Focus Networks for Dynamic Visual Recognition, Gao Huang🌟, Yulin Wang🌟, Kangchen Lv, Haojun Jiang, et al.ICCV 2021 OralAdaptive Focus for Efficient Video Recognition, Yulin Wang🌟, Zhaoxi Chen🌟, Haojun Jiang, et al.TIP 2021Spatially Adaptive Feature Refinement for Efficient Inference, Yizeng Han, Gao Huang, Shiji Song, Le Yang, Yitian Zhang, Haojun Jiang.
🥇 Honors and Awards
During PhD
- 2025.09 First Runner-Up Award for PhD Thesis of MICCAI Society (3 Worldwide Each Year)
- 2024.12 Innovation and Entrepreneurship Scholarship of Tsinghua University (Top 1%)
- 2024.11 National Silver Award (Top 1%) & Beijing Gold Award & Tsinghua Silver Award at the 14th “Challenge Cup” Entrepreneurship Competition for Intelligent Medical Ultrasound Robot
- 2024.11 National Bronze Prize (Top 1%) & Beijing Gold Prize & Tsinghua’s Top-10 Teams at the China International College Students Innovation Competition for Humanoid Robot Data Infrastructure
- 2024.10 Comprehensive Excellence Scholarship of Tsinghua University
- 2024.01 First Prize (1/245) at the Global Artificial Intelligence and Robotics Innovation Competition organized by the Guoqiang Research Institute of Tsinghua University
- 2022.10 Comprehensive Excellence Scholarship of Tsinghua University
During Undergraduate
- 2020.10 Outstanding Graduate of Tsinghua University
- 2017.10 Academic Excellence Scholarship of Tsinghua University
- 2016.10 Comprehensive Excellence Scholarship of Tsinghua University
🌱 Academic Services
- Conference Reviewer: CVPR, ICCV, ECCV, MICCAI
- Journal Reviewer: Medical Image Analysis, Scientific Data
- Workshop Organizer: PC Member of 1st MICCAI Workshop on Human-AI Collaboration
💬 Invited Talks
- 2025.10, Intelligent Ultrasound Robot, Prof. Rajpurkar’s Lab internal talk
- 2025.09, Intelligent Ultrasound Robot, HiT Webinar | [Video]
- 2022.07, Lightweight Neural Network, AI TIME
📖 Educations
- 2020.08 - 2026.06 (Expected), Ph.D. Advised by Gao Huang, Department of Automation, Tsinghua Univeristy, Beijing, China.
- 2017.07 - 2020.06, B.Eng., Department of Automation, Tsinghua Univeristy, Beijing, China.
- 2015.09 - 2017.06, Undergraduate, Department of Chemistry, Tsinghua Univeristy, Beijing, China.
- 2012.09 - 2015.06, Yueqing Zhilin High School, Wenzhou, Zhejiang Province, China.
📫 Contact
Please include a brief note about the reason for reaching out when you contact me.
- E-mail：jianghaojunthu at 163.com
- Wechat：LebronJames5Champ
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