papers
Publications (18)
cs.CV2018
Temporal Human Action Segmentation via Dynamic Clustering
Yan Zhang, He Sun, Siyu Tang +1
cs.DS2017
An SDP-Based Algorithm for Linear-Sized Spectral Sparsification
Yin Tat Lee, He Sun
cs.DS2017
Distributed Graph Clustering and Sparsification
He Sun, Luca Zanetti
cs.DS2013
Randomness-Efficient Rumor Spreading
Zeyu Guo, He Sun
cs.DS2019
Distributed Graph Clustering by Load Balancing
He Sun, Luca Zanetti
cs.LG2019
Hermitian matrices for clustering directed graphs: insights and applications
Mihai Cucuringu, Huan Li, He Sun +1
The paper introduces a spectral clustering algorithm for directed graphs using a complex-valued Hermitian matrix, provides theoretical analysis on a directed stochastic block model…
#graph clustering#directed graphs#spectral methods#stochastic block model
cs.DC2013
Gossip vs. Markov Chains, and Randomness-Efficient Rumor Spreading
Zeyu Guo, He Sun
cs.DS2015
Constructing Linear-Sized Spectral Sparsification in Almost-Linear Time
Yin Tat Lee, He Sun
cs.GT2012
Geometric Pricing: How Low Dimensionality Helps in Approximability
Parinya Chalermsook, Khaled Elbassioni, Danupon Nanongkai +1
cs.DS2012
Deterministic Polynomial-Time Algorithms for Designing Short DNA Words
Ming-Yang Kao, Henry C. M. Leung, He Sun +1
math.PR2012
Balls into Bins via Local Search
Paul Bogdan, Thomas Sauerwald, Alexandre Stauffer +1
cs.DM2014
Tight Bounds for Randomized Load Balancing on Arbitrary Network Topologies
Thomas Sauerwald, He Sun
cs.DS2018
Hermitian Laplacians and a Cheeger inequality for the Max-2-Lin problem
Huan Li, He Sun, Luca Zanetti
astro-ph.IM2018
Identification and adaptive control of a high-contrast focal plane wavefront correction system
He Sun, N. Jeremy Kasdin, Robert Vanderbei
math.PR2014
Balls into bins via local search: cover time and maximum load
Karl Bringmann, Thomas Sauerwald, Alexandre Stauffer +1
cs.DS2017
Communication-Optimal Distributed Clustering
Jiecao Chen, He Sun, David P. Woodruff +1
cs.DS2013
Counting Hypergraphs in Data Streams
He Sun
cs.DS2017
Partitioning Well-Clustered Graphs: Spectral Clustering Works!
Richard Peng, He Sun, Luca Zanetti