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Liren Shan
Liren Shan
Research Assistant Professor, TTIC
Bestätigte E-Mail-Adresse bei ttic.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Stochastic linear optimization with adversarial corruption
Y Li, EY Lou, L Shan
arXiv preprint arXiv:1909.02109, 2019
382019
Robustness of first-and second-order consensus algorithms for a noisy scale-free small-world Koch network
Y Yi, Z Zhang, L Shan, G Chen
IEEE Transactions on Control Systems Technology 25 (1), 342-350, 2016
372016
Current flow group closeness centrality for complex networks?
H Li, R Peng, L Shan, Y Yi, Z Zhang
The world wide web conference, 961-971, 2019
352019
Optimization of scoring rules
Y Li, JD Hartline, L Shan, Y Wu
Proceedings of the 23rd ACM Conference on Economics and Computation, 988-989, 2022
32*2022
Near-optimal algorithms for explainable k-medians and k-means
K Makarychev, L Shan
International Conference on Machine Learning, 7358-7367, 2021
292021
Improved guarantees for k-means++ and k-means++ parallel
K Makarychev, A Reddy, L Shan
Advances in Neural Information Processing Systems 33, 16142-16152, 2020
282020
Domination number and minimum dominating sets in pseudofractal scale-free web and Sierpiński graph
L Shan, H Li, Z Zhang
Theoretical Computer Science 677, 12-30, 2017
212017
Improving information centrality of a node in complex networks by adding edges
L Shan, Y Yi, Z Zhang
arXiv preprint arXiv:1804.06540, 2018
152018
Explainable k-means: don’t be greedy, plant bigger trees!
K Makarychev, L Shan
Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing …, 2022
132022
Independence number and the number of maximum independent sets in pseudofractal scale-free web and Sierpiński gasket
L Shan, H Li, Z Zhang
Theoretical Computer Science 720, 47-54, 2018
122018
Biharmonic Distance Related Centrality for Edges in Weighted Networks.
Y Yi, L Shan, H Li, Z Zhang
IJCAI, 3620-3626, 2018
102018
Optimal scoring rules for multi-dimensional effort
JD Hartline, L Shan, Y Li, Y Wu
The Thirty Sixth Annual Conference on Learning Theory, 2624-2650, 2023
82023
Edge deletion algorithms for minimizing spread in sir epidemic models
Y Yi, L Shan, PE Paré, KH Johansson
SIAM Journal on Control and Optimization 60 (2), S246-S273, 2022
52022
Random cuts are optimal for explainable k-medians
K Makarychev, L Shan
Advances in Neural Information Processing Systems 36, 2024
32024
Error-Tolerant E-Discovery Protocols
J Dong, JD Hartline, L Shan, A Vijayaraghavan
arXiv preprint arXiv:2401.17952, 2024
2024
Higher-Order Cheeger Inequality for Partitioning with Buffers
K Makarychev, Y Makarychev, L Shan, A Vijayaraghavan
Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2024
2024
Approximation Algorithms for Norm Multiway Cut
C Carlson, J Jafarov, K Makarychev, Y Makarychev, L Shan
arXiv preprint arXiv:2308.08373, 2023
2023
Approximation Algorithms for Explainable Clustering
L Shan
Northwestern University, 2023
2023
Fair Curing and Network Design in SIS Epidemic Processes
Y Yi, L Shan, PE Paré, KH Johansson
arXiv preprint arXiv:2211.06028, 2022
2022
Algorithmic Learning Foundations for Common Law
JD Hartline, DW Linna Jr, L Shan, A Tang
Proceedings of the 2022 Symposium on Computer Science and Law, 109-117, 2022
2022
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