p-Norm Flow Diffusion for Local Graph Clustering. - Kimon Fountoulakis; Di Wang 005; Shenghao Yang 002 (ICML, 2020)

Split cuts from sparse disjunctions. - Ricardo Fukasawa; Laurent Poirrier; Shenghao Yang 002 (Math. Program. Comput., 2020)

Local Hyper-Flow Diffusion. - Kimon Fountoulakis; Pan Li 005; Shenghao Yang 002 (NeurIPS, 2021)

Targeted pandemic containment through identifying local contact network bottlenecks. - Shenghao Yang 002; Priyabrata Senapati; Di Wang 005; Chris T. Bauch; Kimon Fountoulakis (PLoS Comput. Biol., 2021)

Parallel and Communication Avoiding Least Angle Regression. - Swapnil Das; James Demmel; Kimon Fountoulakis; Laura Grigori; Michael W. Mahoney; Shenghao Yang 002 (SIAM J. Sci. Comput., 2021)

On Classification Thresholds for Graph Attention with Edge Features. - Kimon Fountoulakis; Dake He; Silvio Lattanzi; Bryan Perozzi; Anton Tsitsulin; Shenghao Yang 002 (CoRR, 2022)

Equivariant Hypergraph Diffusion Neural Operators. - Peihao Wang; Shenghao Yang 002; Yunyu Liu; Zhangyang Wang; Pan Li 005 (ICLR, 2023)

Weighted Flow Diffusion for Local Graph Clustering with Node Attributes: an Algorithm and Statistical Guarantees. - Shenghao Yang 002; Kimon Fountoulakis (ICML, 2023)

Graph Attention Retrospective. - Kimon Fountoulakis; Amit Levi; Shenghao Yang 002; Aseem Baranwal; Aukosh Jagannath (J. Mach. Learn. Res., 2023)

Local Graph Clustering with Noisy Labels. - Artur Back de Luca; Kimon Fountoulakis; Shenghao Yang 002 (ICLR, 2024)

Polynomial Width is Sufficient for Set Representation with High-dimensional Features. - Peihao Wang; Shenghao Yang 002; Shu Li; Zhangyang Wang; Pan Li 005 (ICLR, 2024)

Positional Attention: Out-of-Distribution Generalization and Expressivity for Neural Algorithmic Reasoning. - Artur Back de Luca; George Giapitzakis; Shenghao Yang 002; Petar Velickovic; Kimon Fountoulakis (CoRR, 2024)

Using Pre-trained LLMs for Multivariate Time Series Forecasting. - Malcolm Wolff; Shenghao Yang 002; Kari Torkkola; Michael W. Mahoney (CoRR, 2025)