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ORCIDSiu On Chan
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2020 – today
- 2024
[c15]Siu On Chan
, Hiu Tsun Ng, Sijin Peng:
How Random CSPs Fool Hierarchies. STOC 2024: 1944-1955- [i13]Siu On Chan, Hiu Tsun Ng, Sijin Peng:
How Random CSPs Fool Hierarchies. Electron. Colloquium Comput. Complex. TR24 (2024) - 2022
- [i12]Wei Li, Ruxuan Li, Yuzhe Ma, Siu On Chan, David Z. Pan, Bei Yu:
Rethinking Graph Neural Networks for the Graph Coloring Problem. CoRR abs/2208.06975 (2022) - 2021
- [c14]Siu On Chan, Qinghua Ding, Sing Hei Li:
Learning and Testing Irreducible Markov Chains via the k-Cover Time. ALT 2021: 458-480 - 2020
- [c13]Baoxiang Wang, Shuai Li, Jiajin Li, Siu On Chan:
The Gambler's Problem and Beyond. ICLR 2020 - [i11]Baoxiang Wang, Shuai Li, Jiajin Li, Siu On Chan:
The Gambler's Problem and Beyond. CoRR abs/2001.00102 (2020)
2010 – 2019
- 2017
- [c12]Siu On Chan, Tsz Chiu Kwok, Lap Chi Lau:
Random Walks and Evolving Sets: Faster Convergences and Limitations. SODA 2017: 1849-1865 - 2016
- [j5]Siu On Chan:
Approximation Resistance from Pairwise-Independent Subgroups. J. ACM 63(3): 27:1-27:32 (2016) - [j4]Siu On Chan, James R. Lee, Prasad Raghavendra, David Steurer:
Approximate Constraint Satisfaction Requires Large LP Relaxations. J. ACM 63(4): 34:1-34:22 (2016) - [c11]Siu On Chan, Dimitris Papailliopoulos, Aviad Rubinstein:
On the Approximability of Sparse PCA. COLT 2016: 623-646 - 2015
- [c10]Boaz Barak, Siu On Chan, Pravesh K. Kothari:
Sum of Squares Lower Bounds from Pairwise Independence. STOC 2015: 97-106 - [i10]Boaz Barak, Siu On Chan, Pravesh Kothari:
Sum of Squares Lower Bounds from Pairwise Independence. CoRR abs/1501.00734 (2015) - [i9]Siu On Chan, Tsz Chiu Kwok, Lap Chi Lau:
Random Walks and Evolving Sets: Faster Convergences and Limitations. CoRR abs/1507.02069 (2015) - [i8]Siu On Chan, Dimitris S. Papailiopoulos, Aviad Rubinstein:
On the Worst-Case Approximability of Sparse PCA. CoRR abs/1507.05950 (2015) - 2014
- [j3]Siu On Chan, Elchanan Mossel, Joe Neeman:
On Extracting Common Random Bits From Correlated Sources on Large Alphabets. IEEE Trans. Inf. Theory 60(3): 1630-1637 (2014) - [c9]Siu On Chan, Ilias Diakonikolas, Rocco A. Servedio, Xiaorui Sun:
Near-Optimal Density Estimation in Near-Linear Time Using Variable-Width Histograms. NIPS 2014: 1844-1852 - [c8]Siu On Chan, Ilias Diakonikolas, Paul Valiant, Gregory Valiant:
Optimal Algorithms for Testing Closeness of Discrete Distributions. SODA 2014: 1193-1203 - [c7]Siu On Chan, Ilias Diakonikolas, Rocco A. Servedio, Xiaorui Sun:
Efficient density estimation via piecewise polynomial approximation. STOC 2014: 604-613 - [i7]Siu On Chan, Ilias Diakonikolas, Rocco A. Servedio, Xiaorui Sun:
Near-Optimal Density Estimation in Near-Linear Time Using Variable-Width Histograms. CoRR abs/1411.0169 (2014) - 2013
- [b1]Siu On Chan:
Hardness of Maximum Constraint Satisfaction. University of California, Berkeley, USA, 2013 - [j2]Siu On Chan, Michael Molloy:
A Dichotomy Theorem for the Resolution Complexity of Random Constraint Satisfaction Problems. SIAM J. Comput. 42(1): 27-60 (2013) - [c6]Siu On Chan, James R. Lee, Prasad Raghavendra, David Steurer:
Approximate Constraint Satisfaction Requires Large LP Relaxations. FOCS 2013: 350-359 - [c5]Siu On Chan, Ilias Diakonikolas, Rocco A. Servedio, Xiaorui Sun:
Learning mixtures of structured distributions over discrete domains. SODA 2013: 1380-1394 - [c4]Siu On Chan:
Approximation resistance from pairwise independent subgroups. STOC 2013: 447-456 - [i6]Siu On Chan, Ilias Diakonikolas, Rocco A. Servedio, Xiaorui Sun:
Efficient Density Estimation via Piecewise Polynomial Approximation. CoRR abs/1305.3207 (2013) - [i5]Siu On Chan, Ilias Diakonikolas, Gregory Valiant, Paul Valiant:
Optimal Algorithms for Testing Closeness of Discrete Distributions. CoRR abs/1308.3946 (2013) - [i4]Siu On Chan, James R. Lee, Prasad Raghavendra, David Steurer:
Approximate Constraint Satisfaction Requires Large LP Relaxations. CoRR abs/1309.0563 (2013) - 2012
- [j1]Siu On Chan, Michael Molloy:
(k+1)-Cores Have k-Factors. Comb. Probab. Comput. 21(6): 882-896 (2012) - [i3]Siu On Chan, Elchanan Mossel, Joe Neeman:
On extracting common random bits from correlated sources on large alphabets. CoRR abs/1208.5946 (2012) - [i2]Siu On Chan, Ilias Diakonikolas, Rocco A. Servedio, Xiaorui Sun:
Learning mixtures of structured distributions over discrete domains. CoRR abs/1210.0864 (2012) - [i1]Siu On Chan:
Approximation Resistance from Pairwise Independent Subgroups. Electron. Colloquium Comput. Complex. TR12 (2012) - 2011
- [c3]Siavosh Benabbas, Siu On Chan, Konstantinos Georgiou, Avner Magen:
Tight Gaps for Vertex Cover in the Sherali-Adams SDP Hierarchy. FSTTCS 2011: 41-54
2000 – 2009
- 2008
- [c2]Siu On Chan, Michael Molloy:
A Dichotomy Theorem for the Resolution Complexity of Random Constraint Satisfaction Problems. FOCS 2008: 634-643 - 2006
- [c1]Leizhen Cai, Siu Man Chan, Siu On Chan:
Random Separation: A New Method for Solving Fixed-Cardinality Optimization Problems. IWPEC 2006: 239-250
Coauthor Index
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