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About Me
I am to be a tenure-track associate professor at School of Biomedical Engineering, Shanghai Jiao Tong University from spring of 2026. Now, I am a postdoctoral researcher at Institute for Biomedical Engineering, ETH Zurich, Switzerland, working with Prof. Marco Stampanoni. I obtained my Ph.D. degree from Department of Computer Science, ETH Zurich, Switzerland, in Dec. 2024, under the supervision of Prof. Joachim M. Buhmann, Prof. Antony J. Lomax and Dr. Ye Zhang. Before that I received my master’s degree from the Peking University, China, in Jul. 2020, advised by Prof. Hong Liu and Prof. Zhouchen Lin. Besdies, I got bachelor’s degree from School of Computer Science, Beijing University of Posts and Communications, China, in Jul. 2017. I was an intern at Bytedance and Google. I am an Area Chair of ICML, as well as reviewer for top-tier journals and conferences in the domain of machine learning, computer vision and medical physics.
- Machine Leanring
- Medical Image Analysis
- Proton Therapy
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Ph.D. in Computer Science
ETH Zurich
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M.Sc. in Computer Science
Peking University
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B.Eng. in Computer Science
Beijing University of Posts and Telecommunications
- 🚩 [2025/11] I am serving as an Area Chair for ICML 2026
- 🚩 [2025/11] 2 papers accepted to Medical Physics in 2025.
- 🚩 [2025/11] 3 papers accepted to phiRO in 2025.
- 🚩 [2025/02] 1 paper accepted to TIP in 2025.
- 🚩 [2024/08] Our work is reported by ESTRO Newletter
- 🚩 [2024/07] I am awarded the 1st place in the ICCR Rising Star Competition (Oral Presentation)!
- 🚩 [2024/03] Our submission is selected as an Oral presentation by ICCR 2024!
- 🚩 [2023/12] Our abstract is selected as a Proffered Paper by ESTRO 2024!
- 🚩 [2022/12] Our abstract is selected as a Mini-Oral presentation by ESTRO 2023!
Gaussian Representation for Deformable Image Registration
A proof-of-concept study of direct magnetic resonance imaging-based proton dose calculation for brain tumors via neural networks with Monte Carlo-comparable accuracy
Exploring the effect of training set size and number of categories on ice crystal classification through a contrastive semi-supervised learning algorithm
Uncertainty-Aware Testing-Time Optimization for 3D Human Pose Estimation
Diffusion Schrödinger bridge models for high-quality MR-to-CT synthesis for proton treatment planning
HYRE: Hybrid Regressor for 3D Human Pose and Shape Estimation
IceDetectNet: a rotated object detection algorithm for classifying components of aggregated ice crystals with a multi-label classification scheme
- 2025 World's Top 2% Scientists by Standford
- 2024 First Prize of Natural Science Award of Guangdong Province
- 2024 Rising Star Award by ICCR
- 2023 First Prize of Natural Science Award of Shenzhen Municipal
- 2020 Excellent Graduate of PKU (Top 5%)
- 2019 National Scholarship in PKU (Top 3%)
- 2019 Innovative Award by COCO Challenge
- 2019 Best Project in Google ML Winter Camp
- 2018 Runner-Up Award by COCO Challenge
- 2016 Merit Student of Beijing Municipal
- 2015 National Scholarship in BUPT (Top 1%)