Dr Shuo Pang
BSc, MSc, PhD
Expertise
I research computational complexity and discrete math, with a focus on proof complexity.
Current positions
Lecturer in Algorithms and Complexity
School of Computer Science
Contact
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Research interests
I research whether and why many fundamental computational problems require exponential time for widely used algorithms. This is studied in proof complexity through the analysis of formal deductive systems. The methods draw on combinatorics, logic, and circuit and communication complexity, with applications to combinatorial optimisation and learning theory.
Publications
Recent publications
15/06/2025Truly Supercritical Trade-Offs for Resolution, Cutting Planes, Monotone Circuits, and Weisfeiler–Leman
STOC '25: Proceedings of the 57th Annual ACM Symposium on Theory of Computing
Sum-of-Squares Lower Bounds for Non-Gaussian Component Analysis
2024 IEEE 65th Annual Symposium on Foundations of Computer Science (FOCS)
Graph Colouring Is Hard on Average for Polynomial Calculus and Nullstellensatz
2023 IEEE 64th Annual Symposium on Foundations of Computer Science (FOCS)
On CDCL-Based Proof Systems with the Ordered Decision Strategy
SIAM Journal on Computing
Large Clique is Hard on Average for Resolution
Computer Science – Theory and Applications