Liren Shan
Liren Shan
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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
Stochastic linear optimization with adversarial corruption
Y Li, EY Lou, L Shan
arXiv preprint arXiv:1909.02109, 2019
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
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
Near-optimal algorithms for explainable k-medians and k-means
K Makarychev, L Shan
International Conference on Machine Learning, 7358-7367, 2021
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
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
Improving information centrality of a node in complex networks by adding edges
L Shan, Y Yi, Z Zhang
arXiv preprint arXiv:1804.06540, 2018
Biharmonic Distance Related Centrality for Edges in Weighted Networks.
Y Yi, L Shan, H Li, Z Zhang
IJCAI, 3620-3626, 2018
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
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
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
Optimal scoring rules for multidimensional effort
J Hartline, Y Li, L Shan, Y Wu
working paper, 2021
Algorithmic Learning Foundations for Common Law
J Hartline, DW Linna Jr, L Shan, A Tang
arXiv preprint arXiv:2209.02866, 2022
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