Provable algorithms for inference, optimization, and quantum computation.
May 2026 — Started as Assistant Professor at HKUST (Guangzhou)
Research
Three core areas
Structured inference
Bethe methods, graph covers, and message passing for counting and inference on graphical models.
Provable optimization
Permanent bounds and algorithmic guarantees for hard combinatorial problems.
Quantum & tensors
Tensor networks and distributed quantum systems for scalable computation.
Selected work
Representative papers
Graphical models and Bethe methods
Graph covers and Bethe approximation for inference and counting — our longest-running thread.
Tensor methods
Tensor-network methods for high-dimensional computation.
Latest
What's new
Jul 2026
Two research grants awarded as Principal Investigator New
Guangzhou Municipal Education Bureau · Department of Education of Guangdong Province
May 2026
Started as Assistant Professor at HKUST (GZ)
DSA Thrust, Information Hub
May 2026
ICML 2026
Mar 2026
Submitted to Quantum
Jul 2025
Submitted to IEEE TIT
2024
Published in IEEE TIT
Team
Research assistants
Members of the group since 2026.
PhD graduate, CSE, CUHK
PhD student (Year 2), ECE, UBC
PhD student (Year 2), CSE, CUHK
Yu Jiang
PhD student (Year 1), CSE, CUHK
Deyun Zhang
Master's graduate, Mathematics, SUSTech
Yingxian Hui
Undergraduate, Mathematics, CUHK (Shenzhen)
Open positions
Join the group
Building a team at HKUST (Guangzhou).
Full tuition and competitive stipend
Mentorship targeting IEEE TIT, ISIT, ICML
Greater Bay Area research ecosystem
Small group, close advising
RA PhD Postdoc