Shenghao Yang - RankMe

23 papers A* 7Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PRISM: Distribution-free Adaptive Computation of Matrix Functions for Accelerating Neural Network Training. CoRR Shenghao Yang, Zhichao Wang, Oleg Balabanov, N. Benjamin Erichson, Michael W. Mahoney
2025	A*	`conf`	Positional Attention: Expressivity and Learnability of Algorithmic Computation. ICML Artur Back de Luca, George Giapitzakis, Shenghao Yang, Petar Velickovic, Kimon Fountoulakis
2025	J	`jnl`	Using Pre-trained LLMs for Multivariate Time Series Forecasting. CoRR Malcolm Wolff, Shenghao Yang, Kari Torkkola, Michael W. Mahoney
2024	A*	`conf`	Local Graph Clustering with Noisy Labels. ICLR Artur Back de Luca, Kimon Fountoulakis, Shenghao Yang
2024	A*	`conf`	Polynomial Width is Sufficient for Set Representation with High-dimensional Features. ICLR Peihao Wang, Shenghao Yang, Shu Li, Zhangyang Wang, Pan Li
2024	J	`jnl`	Positional Attention: Out-of-Distribution Generalization and Expressivity for Neural Algorithmic Reasoning. CoRR Artur Back de Luca, George Giapitzakis, Shenghao Yang, Petar Velickovic, Kimon Fountoulakis
2023	A*	`conf`	Equivariant Hypergraph Diffusion Neural Operators. ICLR Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
2023	J	`jnl`	Graph Attention Retrospective. J. Mach. Learn. Res. Kimon Fountoulakis, Amit Levi, Shenghao Yang, Aseem Baranwal, Aukosh Jagannath
2023	J	`jnl`	Local Graph Clustering with Noisy Labels. CoRR Artur Back de Luca, Kimon Fountoulakis, Shenghao Yang
2023	J	`jnl`	Polynomial Width is Sufficient for Set Representation with High-dimensional Features. CoRR Peihao Wang, Shenghao Yang, Shu Li, Zhangyang Wang, Pan Li
2023	A*	`conf`	Weighted Flow Diffusion for Local Graph Clustering with Node Attributes: an Algorithm and Statistical Guarantees. ICML Shenghao Yang, Kimon Fountoulakis
2023	J	`jnl`	Weighted flow diffusion for local graph clustering with node attributes: an algorithm and statistical guarantees. CoRR Shenghao Yang, Kimon Fountoulakis
2022	J	`jnl`	Equivariant Hypergraph Diffusion Neural Operators. CoRR Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
2022	J	`jnl`	Graph Attention Retrospective. CoRR Kimon Fountoulakis, Amit Levi, Shenghao Yang, Aseem Baranwal, Aukosh Jagannath
2022	J	`jnl`	On Classification Thresholds for Graph Attention with Edge Features. CoRR Kimon Fountoulakis, Dake He, Silvio Lattanzi, Bryan Perozzi, Anton Tsitsulin, Shenghao Yang
2021	A*	`conf`	Local Hyper-Flow Diffusion. NeurIPS Kimon Fountoulakis, Pan Li, Shenghao Yang
2021	J	`jnl`	Local Hyper-flow Diffusion. CoRR Kimon Fountoulakis, Pan Li, Shenghao Yang
2021	J	`jnl`	Parallel and Communication Avoiding Least Angle Regression. SIAM J. Sci. Comput. Swapnil Das, James Demmel, Kimon Fountoulakis, Laura Grigori, Michael W. Mahoney, Shenghao Yang
2021	J	`jnl`	Targeted pandemic containment through identifying local contact network bottlenecks. PLoS Comput. Biol. Shenghao Yang, Priyabrata Senapati, Di Wang, Chris T. Bauch, Kimon Fountoulakis
2020	J	`jnl`	Split cuts from sparse disjunctions. Math. Program. Comput. Ricardo Fukasawa, Laurent Poirrier, Shenghao Yang
2020	J	`jnl`	Targeted Pandemic Containment Through Identifying Local Contact Network Bottlenecks. CoRR Shenghao Yang, Priyabrata Senapati, Di Wang, Chris T. Bauch, Kimon Fountoulakis
2020	A*	`conf`	p-Norm Flow Diffusion for Local Graph Clustering. ICML Kimon Fountoulakis, Di Wang, Shenghao Yang
2020	J	`jnl`	p-Norm Flow Diffusion for Local Graph Clustering. CoRR Shenghao Yang, Di Wang, Kimon Fountoulakis