2026
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.
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.
VA-Adapter: Adapting Ultrasound Foundation Model to Echocardiography Probe Guidance
Teng Wang*, Haojun Jiang*‡, Yuxuan Wang, Zhenguo Sun, Shiji Song, Gao Huang (* equal contribution, ‡ mentored this work)
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2026 Early Accept · Top 9%
VA-Adapter: Adapting Ultrasound Foundation Model to Echocardiography Probe Guidance
Teng Wang*, Haojun Jiang*‡, Yuxuan Wang, Zhenguo Sun, Shiji Song, Gao Huang (* equal contribution, ‡ mentored this work)
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2026 Early Accept · Top 9%
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
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
2025
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.
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.
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.
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.
Emulating Human-like Adaptive Vision for Efficient and Flexible Machine Visual Perception
Yulin Wang*, Yang Yue (乐洋)*, Yang Yue (乐阳)*, Huanqian Wang, Haojun Jiang, Yizeng Han, Zanlin Ni, Yifan Pu, Minglei Shi, Rui Lu, Qisen Yang, Andrew Zhao, Zhuofan Xia, Shiji Song, Gao Huang (* equal contribution)
Nature Machine Intelligence 2025
Emulating Human-like Adaptive Vision for Efficient and Flexible Machine Visual Perception
Yulin Wang*, Yang Yue (乐洋)*, Yang Yue (乐阳)*, Huanqian Wang, Haojun Jiang, Yizeng Han, Zanlin Ni, Yifan Pu, Minglei Shi, Rui Lu, Qisen Yang, Andrew Zhao, Zhuofan Xia, Shiji Song, Gao Huang (* equal contribution)
Nature Machine Intelligence 2025
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.
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.
EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance
Yang Yue*, Yulin Wang*, Haojun Jiang, Pan Liu, Shiji Song, Gao Huang (* equal contribution)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2025
EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance
Yang Yue*, Yulin Wang*, Haojun Jiang, Pan Liu, Shiji Song, Gao Huang (* equal contribution)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2025
Cross-modal Adapter for Vision–Language Retrieval
Haojun Jiang, Jianke Zhang, Rui Huang, Chunjiang Ge, Zanlin Ni, Shiji Song, Gao Huang
Pattern Recognition 2025
Abstract
An adapter architecture designed to promote cross-modal information fusion for vision-language retrieval.
Cross-modal Adapter for Vision–Language Retrieval
Haojun Jiang, Jianke Zhang, Rui Huang, Chunjiang Ge, Zanlin Ni, Shiji Song, Gao Huang
Pattern Recognition 2025
Abstract
An adapter architecture designed to promote cross-modal information fusion for vision-language retrieval.
2024
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 (* equal contribution)
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2024 Early Accept
Abstract
A pre-training strategy for learning 3D cardiac anatomy to facilitate downstream echocardiography probe navigation.
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 (* equal contribution)
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2024 Early Accept
Abstract
A pre-training strategy for learning 3D cardiac anatomy to facilitate downstream echocardiography probe navigation.
Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train
Haojun Jiang*, Meng Li*, Zhenguo Sun*, Ning Jia, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang (* equal contribution)
MICCAI ASMUS Workshop 2024 Oral
Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train
Haojun Jiang*, Meng Li*, Zhenguo Sun*, Ning Jia, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang (* equal contribution)
MICCAI ASMUS Workshop 2024 Oral
Joint Representation Learning for Text and 3D Point Cloud
Rui Huang*, Xuran Pan*, Henry Zheng, Haojun Jiang, Zhifeng Xie, Shiji Song, Gao Huang (* equal contribution)
Pattern Recognition 2024
Joint Representation Learning for Text and 3D Point Cloud
Rui Huang*, Xuran Pan*, Henry Zheng, Haojun Jiang, Zhifeng Xie, Shiji Song, Gao Huang (* equal contribution)
Pattern Recognition 2024
2023
Deep Incubation: Training Large Models by Divide-and-Conquering
Zanlin Ni*, Yulin Wang*, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang (* equal contribution)
IEEE International Conference on Computer Vision (ICCV) 2023
Deep Incubation: Training Large Models by Divide-and-Conquering
Zanlin Ni*, Yulin Wang*, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang (* equal contribution)
IEEE International Conference on Computer Vision (ICCV) 2023
2022
Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding
Haojun Jiang*, Yuanze Lin*, Dongchen Han, Shiji Song, Gao Huang (* equal contribution)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
Abstract
A pioneering unsupervised-learning approach for visual grounding that generates pseudo language queries.
Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding
Haojun Jiang*, Yuanze Lin*, Dongchen Han, Shiji Song, Gao Huang (* equal contribution)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
Abstract
A pioneering unsupervised-learning approach for visual grounding that generates pseudo language queries.
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition
Yulin Wang*, Yue Yang*, Yuanze Lin, Haojun Jiang, Zihang Lai, Victor Kulikov, Nikita Orlov, Humphrey Shi, Gao Huang (* equal contribution)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition
Yulin Wang*, Yue Yang*, Yuanze Lin, Haojun Jiang, Zihang Lai, Victor Kulikov, Nikita Orlov, Humphrey Shi, Gao Huang (* equal contribution)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2022
Glance and Focus Networks for Dynamic Visual Recognition
Gao Huang*, Yulin Wang*, Kangchen Lv, Haojun Jiang, Wenhui Huang, Pengfei Qi, Shiji Song (* equal contribution)
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2022
Glance and Focus Networks for Dynamic Visual Recognition
Gao Huang*, Yulin Wang*, Kangchen Lv, Haojun Jiang, Wenhui Huang, Pengfei Qi, Shiji Song (* equal contribution)
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2022
2021
Adaptive Focus for Efficient Video Recognition
Yulin Wang*, Zhaoxi Chen*, Haojun Jiang, Shiji Song, Yizeng Han, Gao Huang (* equal contribution)
IEEE International Conference on Computer Vision (ICCV) 2021 Oral
Adaptive Focus for Efficient Video Recognition
Yulin Wang*, Zhaoxi Chen*, Haojun Jiang, Shiji Song, Yizeng Han, Gao Huang (* equal contribution)
IEEE International Conference on Computer Vision (ICCV) 2021 Oral
CondenseNet V2: Sparse Feature Reactivation for Deep Networks
Le Yang*, Haojun Jiang*, Ruojin Cai, Yulin Wang, Shiji Song, Gao Huang, Qi Tian (* equal contribution)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021
Abstract
A lightweight architecture based on sparse feature reactivation, designed for efficient edge inference scenarios such as intelligent ultrasound scanning.
CondenseNet V2: Sparse Feature Reactivation for Deep Networks
Le Yang*, Haojun Jiang*, Ruojin Cai, Yulin Wang, Shiji Song, Gao Huang, Qi Tian (* equal contribution)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021
Abstract
A lightweight architecture based on sparse feature reactivation, designed for efficient edge inference scenarios such as intelligent ultrasound scanning.
Spatially Adaptive Feature Refinement for Efficient Inference
Yizeng Han, Gao Huang, Shiji Song, Le Yang, Yitian Zhang, Haojun Jiang
IEEE Transactions on Image Processing (TIP) 2021
Spatially Adaptive Feature Refinement for Efficient Inference
Yizeng Han, Gao Huang, Shiji Song, Le Yang, Yitian Zhang, Haojun Jiang
IEEE Transactions on Image Processing (TIP) 2021