I am a second year Ph.D. student in the David R. Cheriton School of Computer Science at University of Waterloo, advised by Kimon Fountoulakis. I am a member of OpAL lab. I work on machine learning and optimization problems over graphs. Previously, I obtained a Master of Mathematics in the Department of Combinatorics & Optimization, where I worked with Ricardo Fukasawa and Laurent Poirrier.
10.04.2021. A short feature story about me on the Faulty of Mathematics’ website.
07.22.2021. My presentation on Hyper-Flow Diffusion was a finalist for the Best Student Presentation Price at SIAM ACDA21.
07.19.2021. I gave a talk at SIAM Conference on Applied and Computational Discrete Algorithms (SIAM ACDA21). Slides
05.17.2021. I gave a talk at SIAM Conference on Applied Linear Algebra (SIAM LA21), Minisymposium on Nonlinear Laplacians on Graphs and Manifolds with Applications to Data and Image Processing. Slides
05.03.2021. I started a research internship at Borealis AI in the Derivative Pricing Team.
06.22.2020. I gave a talk at SIAM Conference on Mathematics of Data Science (SIAM MDS20), Minisymposium on The Multiple Perspectives on Graph-Based Machine Learning. Slides
Local Hyper-Flow Diffusion
Kimon Fountoulakis, Pan Li, Shenghao Yang
Neural Information Processing Systems (NeurIPS) 2021
Targeted Pandemic Containment Through Identifying Local Contact Network Bottlenecks
Shenghao Yang, Priyabrata Senapati, Di Wang, Chris T. Bauch, Kimon Fountoulakis
PLOS Computational Biology, 17(8):e1009351. 2021
Parallel and Communication Avoiding Least Angle Regression
Swapnil Das, James Demmel, Kimon Fountoulakis, Laura Grigori, Michael W. Mahoney, Shenghao Yang
SIAM Journal on Scientific Computing, 43(2):C154-C176. 2021
p-Norm Flow Diffusion for Local Graph Clustering
Kimon Fountoulakis, Di Wang, Shenghao Yang
International Conference on Machine Learning (ICML) 2020
Split Cuts from Sparse Disjunctions
Ricardo Fukasawa, Laurent Poirrier, Shenghao Yang
Mathematical Programming Computation, 12(2):295-335. 2020