Haoshen Li 李浩申

Center for Machine Learning Research,
Peking University,
Beijing, China.
Email: lhs630 at stu dot pku dot edu dot cn

Email | Google Scholar | Github | DBLP

Biography

I am pursuing my PhD degree at CMLR, Peking University, advised by Dr. Li Zhang and Prof. Bin Dong. I also have a close collaborative relationship with Dr. Zifan Chen. I have interned at Alibaba DAMO Academy medical AI lab, advised by Yirui Wang, Dr. Dakai Jin, and Prof. Le Lu. Previously, I obtained my B.S. from the School of Mathematical Sciences, Dalian University of Technology in 2022.

My research interests focuse on artificial intelligence and its applications in medical image computing, particularly in clinical tasks related to treatment response, prognosis prediction, and precise preoperative CT interpretation in canser treatment.

News

[03/2026] One paper has been accepted by ICASSP 2026. (Oral)
[09/2025] Our accepted MICCAI paper has been norminated and shortlisted for the MICCAI Best Paper and Young Scientist Award. (25/3667)
[05/2025] Two paper have been accepted by MICCAI 2025. (Both Early Accepted)
[01/2025] Three paper have been accepted by ISBI 2025.
[07/2024] One abstract has been accepted by RSNA 2024 (Oral).
[07/2024] One paper has been accepted by ECCV 2024.
[06/2024] One paper has been accepted by MICCAI 2024.
[01/2024] Two paper have been accepted by ISBI 2024 (1 Among Best Paper Award Finalists, & 1 Oral).

Selected Publications｜Full list

Journal:

Associations of subcutaneous fat area and Systemic Immune-inflammation Index with survival in patients with advanced gastric cancer receiving dual PD-1 and HER2 blockade
Meng He^#, Zifan Chen^#, Li Zhang, Xiangyu Gao, Xiaoyi Chong, Haoshen Li, Lin Shen, Xiaotian Zhang, Bin Dong, Ziyu Li, Lei Tang
Insights into Imaging (IF: 4.5).

Conference:

Prompt-Guided Multi-Scale Feature Pyramid Aggregation with Unified Channel-Spatial Transformer for Single Image Deraining.
Haoshen Li, Zifan Chen, Guangzhengao Yang, Jie Zhao, Bin Dong, Li Zhang.
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026 (Oral)

Lymph Node Metastasis Classification with Prototype-guided Multiple Instance Aggregation and Heterogeneous Feature Fusion.
Haoshen Li, Tashan Ai, Yirui Wang, Zhanghexuan Ji, Qinji Yu, Le Lu, Bin Dong, Li Zhang, Xianghua Ye, Kuaile Zhao, Dakai Jin.
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025 (Early Accepted, Top 9%)

Metastatic Lymph Node Station Classification in Esophageal Cancer via Prior-guided Supervision and Station-Aware Mixture-of-Experts.
Haoshen Li^#, Yirui Wang^#, Qinji Yu^#, Jie Zhu, Ke Yan, Dazhou Guo, Le Lu, Bin Dong, Li Zhang, Xianghua Ye, Qifeng Wang, Dakai Jin.
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025 (Early Accepted, Among Best Paper and Young Scientist Award ShortList, 25/3667)

Semi-supervised Lymph Node Metastasis Classification with Pathology-guided Label Sharpening and Two-streamed Multi-scale Fusion.
Haoshen Li, Yirui Wang, Jie Zhu, Dazhou Guo, Qinji Yu, Ke Yan, Le Lu, Xianghua Ye, Li Zhang, Qifeng Wang, Dakai Jin.
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024

Multi-Scale Clinical-Guided Binocular Fusion Framework for Predicting New-Onset Hypertension Over a Four-Year Period.
Haoshen Li, Zifan Chen, Jie Zhao, Heyun Chen, Hexin Dong, Mingze Yuan, Bin Dong, Li Zhang
IEEE International Symposium on Biomedical Imaging (ISBI), 2024. (Among Best Paper Award Finalists)

Multi-Stage Bidirectional Cross-Attention Model for Predicting Prognosis in Multiple Peritoneum Lesions with Clinical Information.
Haoshen Li, Jieyuan Cai, Yiyuan Wei, Zifan Chen, Heyun Chen, Jie Zhao, Yanjie Shi, Bin Dong, Lei Tang, Xiaotian Zhang, Li Zhang.
IEEE International Symposium on Biomedical Imaging (ISBI), 2025.

Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer.
Qinji Yu^#, Yirui Wang^#, Ke Yan, Haoshen Li, Dazhou Guo, Li Zhang, Le Lu, Na Shen, Qifeng Wang, Xiaowei Ding, Xianghua Ye, Dakai Jin.
European Conference on Computer Vision (ECCV), 2024.

MSI-UNet: A Flexible UNet-Based Multi-Scale Interactive Framework for 3D Gastric Tumor Segmentation on CT Scans.
Heyun Chen, Zifan Chen, Jie Zhao, Haoshen Li, Jiazheng Li, Yiting Liu, Mingze Yuan, Peng Bao, Xinyu Nan, Bin Dong, Lei Tang, Li Zhang.
IEEE International Symposium on Biomedical Imaging (ISBI), 2024. (Oral)

Selected Awards

China National Scholarship, Peking University, 2025.

Merit Student Pacesetter, Peking University, 2025.

Exceptional Award for Academic Innovation, Peking University, 2025.

MICCAI 2025 Best Paper and Young Scientist Award Finalists.

China National Scholarship, Peking University, 2024.

Merit Student, Peking University, 2024.

ISBI 2024 Best Paper Award Finalists.

Hua Luogeng Scholarship, 2020.

Services

Conference Reviewer: MICCAI 2025, ISBI 2025, AAAI 2026