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Ph.D. Student
Peking Union Medical College Hospital
Chinese Academy of Medical Sciences & Peking Union Medical College, Tsinghua University
Institute of Automation, Chinese Academy of Sciences
Email: zhaoxingyue@stu.xjtu.edu.cn; zhaoxingyue@student.pumc.edu.cn
I am a 1st-year Ph.D. student at Peking Union Medical College Hospital (PUMCH), Chinese Academy of Medical Sciences (CAMS) & Peking Union Medical College (PUMC) (北京协和医院, 中国医学科学院 & 北京协和医学院(清华大学医学部)), jointly trained with the Institute of Automation, Chinese Academy of Sciences (CASIA) （中国科学院自动化研究所）, advised by Prof. Ming Feng and Prof. Bo Xu. I am also a research intern at Alibaba DAMO Academy (阿里巴巴达摩院) since 2024, working with Dr. Dakai Jin and Dr. Le Lu (IEEE Fellow). Previously, I received my M.Eng. in Software Engineering from Xi’an Jiaotong University (XJTU) (西安交通大学) in 2025, advised by Prof. Zhongyu Li in the CVML group led by Prof. Jihua Zhu, where I also worked closely with Dr. Xiangde Luo. If you are interested in collaborating with me or want to have a chat, always feel free to contact me through e-mail.
[12/2025] One Paper is accepted by ICASSP 2026, congratulations to Tong Wang and Linghao Zhuang.
[12/2025] One Paper is accepted by Scientific Data, congratulations to Linghao Zhuang.
[05/2025] One abstract is accepted by Confederation of European ORL-HNS, Oral.
[08/2025] Two Papers are accepted by AAAI 2026.
[08/2025] One Paper is accepted by PRCV 2025, Oral.
[05/2025] One Paper is accepted by ICCV 2025.
[05/2025] One abstract is accepted by ASTRO 2025.
[04/2025] One paper is accepted by IEEE EMBC 2025, congratulations to Linghao Zhuang.
[07/2024] One paper is accepted by BMVC 2024.
[04/2024] One paper is accepted by IEEE TCSVT (IF: 11.1).
[02/2024] One paper is accepted by ISBI 2024, Oral.
[08/2023] Our paper is accepted by Nature Methods (IF: 47.99).
Towards Affordance-Aware Robotic Dexterous Grasping with Human-like Priors
Haoyu Zhao, Linghao Zhuang, Xingyue Zhao*, Cheng Zeng, Haoran Xu, Yuming Jiang, Jun Cen, Kexiang Wang, Jiayan Guo, Siteng Huang, Xin Li, Deli Zhao, Hua Zou
AAAI 2026.
[arXiv]
pFedSAM: Personalized Federated Learning of Segment Anything Model for Medical Image Segmentation
Tong Wang, Xingyue Zhao*, Linghao Zhuang, Haoyu Zhao, Jiayi Yin, Yuyang He, Gang Yu, Bo Lin
ICASSP 2026.
[arXiv]
High-Fidelity Simulated Data Generation for Real-World Zero-Shot Robotic Manipulation Learning with Gaussian Splatting
Haoyu Zhao, Cheng Zeng, Linghao Zhuang, Yaxi Zhao, Shengke Xue, Hao Wang, Xingyue Zhao, Zhongyu Li, Kehan Li, Siteng Huang, Mingxiu Chen, Xin Li, Deli Zhao, Hua Zou
arXiv.
[arXiv]
PhysSplat: Efficient Physics Simulation for 3D Scenes via MLLM-Guided Gaussian Splatting
Haoyu Zhao, Hao Wang, Xingyue Zhao*, Hongqiu Wang, Zhiyu Wu, Chengjiang Long, Hua Zou
International Conference on Computer Vision (ICCV).
[arXiv]
ActiveSSF: An Active-Learning-Guided Self-Supervised Framework for Long-Tailed Megakaryocyte Classification
Linghao Zhuang, Ying Zhang, Gege Yuan, Xingyue Zhao, Zhiping Jiang
IEEE Engineering in Medicine and Biology Conference (EMBC).
[arXiv]
HFGS: 4D Gaussian Splatting with Emphasis on Spatial and Temporal High-Frequency Components for Endoscopic Scene Reconstruction
Haoyu Zhao, Xingyue Zhao*, Lingting Zhu, Weixi Zheng, Yongchao Xu
British Machine Vision Conference (BMVC).
[arXiv] [code]
Ultrasound Nodule Segmentation Using Asymmetric Learning with Simple Clinical Annotation
Xingyue Zhao, Zhongyu Li, Xiangde Luo, Peiqi Li, Peng Huang, Jianwei Zhu, Yang Liu, Jihua Zhu, Meng Yang, Shi Chang, Jun Dong
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).
[arXiv] [code]
SAM-Driven Weakly Supervised Nodule Segmentation With Uncertainty-Aware Cross Teaching
Xingyue Zhao, Peiqi Li, Xiangde Luo, Meng Yang, Shi Chang, Zhongyu Li
IEEE International Symposium on Biomedical Imaging (ISBI). (Oral)
[arXiv]
D-LMBmap: a fully automated deep-learning pipeline for whole-brain profiling of neural circuitry
Zhongyu Li, Zengyi Shang, Jingyi Liu, Haotian Zhen, Entao Zhu, Shilin Zhong, Robyn N. Sturgess, Yitian Zhou, Xuemeng Hu, Xingyue Zhao, Yi Wu, Peiqi Li, Rui Lin, Jing Ren
Nature Methods.
[pdf] [code]
National English Competition for College Students, National First Prize, 2019
(全国大学生英语竞赛国家一等奖)
National Scholarship (Top 0.2%), 2021
(国家奖学金)
HUAWEI Ascend Gold Quality Award, 2022
(华为Ascend金质量奖)
HUAWEI Smart Base Scholarship, 2024
(华为智能基座奖学金)
| Reviewer for AAAI, MICCAI, ISBI... |
