I am a master’s student in Health Data Science at Juntendo University, supervised by Prof. Ryutaro Himeno and Prof. Zhe Sun. I am also a research assistant in the Tensor Learning Team at RIKEN AIP, supervised by Dr. Chao Li.

My research interests include tensor networks, variational inference, probabilistic modeling, and tensor network architecture search. Previously, I received my B.Eng. in Computer Science and Technology from Qilu University of Technology.

Publications

• Yuchen Cong, Zerui Tao, Chao Li, Zhe Sun, Qibin Zhao. QuanVI: Score-based Variational Inference via Quantum Maximally Mixed States. NeurIPS 2026. Paper

• Chao Li, Zerui Tao, Yuchen Cong, Jian Xu, Qibin Zhao. On the Approximation Complexity of Matrix Product Operator Born Machines. arXiv preprint, 2026. Paper

• Yicong He, Chao Li, Yuchen Cong, Tomonori Shirakawa, Seiji Yunoki, Qibin Zhao. Joint Structure Search for Tensor Network Operators Inspired by Symmetry Breaking. Paper

See also my Google Scholar profile.

Presentations

• 2026, IBIS — QuanVI: Score-based Variational Inference via Quantum Maximally Mixed States. Poster presentation.
• 2026, JSAI — Score-based Variational Inference via Quantum Maximally Mixed States. Oral presentation.
• 2025, Mechanism of Brain and Mind Winter Workshop — Tensor Network and its Structure Search Problem. Poster presentation.

📖 Education and Experience

• Nov. 2024 – Present, RIKEN Center for Advanced Intelligence Project (AIP), Tokyo, Japan
  Research Assistant, Tensor Learning Team · Supervisor: Dr. Chao Li

• Apr. 2025 – Mar. 2027 (expected), Juntendo University, Tokyo, Japan
  M.S. in Health Data Science

• Aug. 2019 – Jun. 2023, Qilu University of Technology, Shandong, China
  B.E. in Computer Science and Technology