 
|
Shuhan Zheng (鄭) |
| I am a researcher at Hitachi R&D.
I received my degree of MEng from the University of Tokyo (UTokyo) with Outstanding Thesis Awards, supervised by Prof. Gouhei Tanaka and Prof. Akira Hirose. Before that, I received my bachelor degree in physics with Summa cum laude from the Southern University of Science and Technology (SUSTech) in 2021, supervised by Prof. Quanying Liu. My research interests mainly lie in generative modelling, including diffusion models and LLMs. Other interests include knowledge graph and computational neuroscience. My current working project relates to climate risk and supply chain. You can find information here. I am also a Christian who desire to follow Jesus Christ. |
Experiences
2024/04~Present Researcher @ Hitachi
2023/10~2024/01 Part-time Researcher @ UTokyo and Nagoya Institute of Technology
2022/10~2022/12 Part-time Engineer @ PFN
2022/08~2022/09 Research Intern @ PFN w/ Dr. Nontawat
2021/12~2022/03 Machine Learning Intern @ Hitachi China Research Lab
Recent News
[25/07/31] 🎉 Grateful to share that my first industry paper has been accepted to the ISWC 2025 Industry Track!
Title: Empowering Supply Chain Risk Monitoring with Ontology-Guided Knowledge Graph Extraction by LLMs.
This marks a meaningful milestone in my journey as a researcher in industry. The camera-ready version will come out soon!
[25/04/25] Excited to share our latest R&D release on building supply chain resilience in the face of climate risks. Read more about our approach and achievements [link].
[25/03/20] Today I got married with Shuxin. Start new life stage! ❤️
[25/02/24] Thrilled to announce our collaboration with ClimateAi on global supply chain risk modeling! Check out the case study published by ClimateAi. [link]
[24/09/24] I am honored to be one of the Program Committee of 3rd Table Representation Learning Workshop @ NeurIPS 2024. It's an awesome workshop!
Publications
Diffusion model for relational inference. [arxiv] [code]
Shuhan Zheng, Ziqiang Li, Kantaro Fujiwara, Gouhei Tanaka.
Diffusion models for missing value imputation in tabular data. [arxiv] [code]
Shuhan Zheng, Nontawat Charoenphakdee (2022). NeurIPS 2022 First Table Representation Workshop.
Kuramoto model based analysis reveals oxytocin effects on brain network dynamics. [arxiv]
Shuhan Zheng, Zhichao Liang, Youzhi Qu, Qingyuan Wu, Haiyan Wu, Quanying Liu (2021). International Journal of Neural Systems.
Graph theoretic analysis reveals intranasal oxytocin induced network changes over frontal regions. [biorxiv]
Shuhan Zheng, Diksha Punia, Haiyan Wu, Quanying Liu (2021). Neuroscience.
Blog
Under construction.
Academic Services
Reviewer: TRL@ACL2025, TRL@NeurIPS2024, Journal of Neural Engineering