IEEE Annual Symposium on Foundations of Computer Science · 2024
Cited
4
Resume (English only)
Academic Achievements
1. 'Combinatorial Maximum Flow via Weighted Push-Relabel on Shortcut Graphs', with Aaron Bernstein, Joakim Blikstad, Jason Li, and Thatchaphol Saranurak, to appear in FOCS 2025
2. 'Efficient Matroid Intersection via a Batch-Update Auction Algorithm', with Joakim Blikstad, SOSA 2025
3. 'Matching Composition and Efficient Weight Reduction in Dynamic Matching', with Aaron Bernstein, Jiale Chen, Aditi Dudeja, Zachary Langley, and Aaron Sidford, SODA 2025
4. 'Entropy Regularization and Faster Decremental Matching in General Graphs', with Jiale Chen and Aaron Sidford, SODA 2025
5. 'Maximum Flow by Augmenting Paths in n^2 + o(1) Time', with Aaron Bernstein, Joakim Blikstad, and Thatchaphol Saranurak, FOCS 2024
6. 'Fast Algorithms via Dynamic-Oracle Matroids', with Joakim Blikstad, Sagnik Mukhopadhyay, and Danupon Nanongkai, STOC 2023
7. 'Subquadratic Weighted Matroid Intersection Under Rank Oracles', ISAAC 2022
Research Experience
1. Ph.D. student in the theory group at Stanford University
2. Intern at Max Planck Institute for Informatics (MPI-INF), mentored by Professor Danupon Nanongkai
Education
1. Ph.D. student in Computer Science at Stanford University, advised by Professor Aaron Sidford (Ongoing)
2. B.Sc. in Computer Science from National Taiwan University (2022)
Background
Research Interests: Theoretical computer science, with a focus on the design of algorithms and data structures for graph problems and combinatorial optimization.