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Shuhan Zheng (鄭) |
| I am a researcher at Hitachi R&D, focusing on building data foundations for solving real-world business problems.
My techinical interests include semantic layers, knowledge graphs, and data engineering. I received my MEng from the University of Tokyo (UTokyo) with the Outstanding Thesis Award, supervised by Prof. Gouhei Tanaka and Prof. Akira Hirose. Prior to that, I completed my BSc in Physics summa cum laude from the Southern University of Science and Technology (SUSTech) in 2021, under the supervision of Prof. Quanying Liu. I am also a Christian and seek 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
[25/09/05] 🎉 Our paper: Diffusion Model for Relational Inference in Interacting Systems, has been accepted to IEEE Transactions on Network Science and Engineering.
[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]
Publications
Empowering Supply Chain Risk Monitoring with Ontology-Guided Knowledge Graph Extraction by LLMs. [link]
Shuhan Zheng, Keita Mizushina, Ken Naono (2025). ISWC 2025 Industry Track
Diffusion Model for Relational Inference in Interacting Systems. [arxiv] [code]
Shuhan Zheng, Ziqiang Li, Kantaro Fujiwara, Gouhei Tanaka. IEEE Transactions on Network Science and Engineering
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
Academic Services
Reviewer: TRL@ACL2025, TRL@NeurIPS2024, Journal of Neural Engineering