Liren Shan - RankMe

49 papers A* 14A 1Journal 31Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Algorithms for Dynamic Curing and Network Design in SIS Epidemic Processes. IEEE Trans. Netw. Sci. Eng. Yuhao Yi, Liren Shan, Shijie Wang, Philip E. Paré, Karl Henrik Johansson
2026	A*	`conf`	Testing Under Strategic Manipulation: Mechanism Design for Human and AI Institutions. AAAI Xiaoyun Qiu, Liren Shan
2025	A*	`conf`	Computing High-dimensional Confidence Sets for Arbitrary Distributions. COLT Chao Gao, Liren Shan, Vaidehi Srinivas, Aravindan Vijayaraghavan
2025	J	`jnl`	Computing High-dimensional Confidence Sets for Arbitrary Distributions. CoRR Chao Gao, Liren Shan, Vaidehi Srinivas, Aravindan Vijayaraghavan
2025	J	`jnl`	Dynamic Algorithm for Explainable k-medians Clustering under lp Norm. CoRR Konstantin Makarychev, Ilias Papanikolaou, Liren Shan
2025	J	`jnl`	Heterogeneous Multi-agent Multi-armed Bandit on Stochastic Block Models. Proc. ACM Meas. Anal. Comput. Syst. Mengfan Xu, Liren Shan, Fatemeh Ghaffari, Xuchuang Wang, Xutong Liu, Mohammad Hajiesmaili
2025	J	`jnl`	Heterogeneous Multi-agent Multi-armed Bandits on Stochastic Block Models. CoRR Mengfan Xu, Liren Shan, Fatemeh Ghaffari, Xuchuang Wang, Xutong Liu, Mohammad Hajiesmaili
2025	J	`jnl`	Learning Confidence Ellipsoids and Applications to Robust Subspace Recovery. CoRR Chao Gao, Liren Shan, Vaidehi Srinivas, Aravindan Vijayaraghavan
2025	A*	`conf`	LiD-FL: Towards List-Decodable Federated Learning. AAAI Hong Liu, Liren Shan, Han Bao, Ronghui You, Yuhao Yi, Jiancheng Lv
2025	J	`jnl`	Multi-dimensional Test Design. CoRR Xiaoyun Qiu, Liren Shan
2025	J	`jnl`	Verifying Classification with Limited Disclosure. CoRR Siddharth Bhandari, Liren Shan
2025	A*	`conf`	Volume Optimality in Conformal Prediction with Structured Prediction Sets. ICML Chao Gao, Liren Shan, Vaidehi Srinivas, Aravindan Vijayaraghavan
2025	J	`jnl`	Volume Optimality in Conformal Prediction with Structured Prediction Sets. CoRR Chao Gao, Liren Shan, Vaidehi Srinivas, Aravindan Vijayaraghavan
2024	—	`conf`	Dynamic Curing and Network Design in SIS Epidemic Processes. CDC Yuhao Yi, Liren Shan, Philip E. Paré, Karl Henrik Johansson
2024	—	`conf`	Error-Tolerant E-Discovery Protocols. CSLAW Jinshuo Dong, Jason D. Hartline, Liren Shan, Aravindan Vijayaraghavan
2024	J	`jnl`	Error-Tolerant E-Discovery Protocols. CoRR Jinshuo Dong, Jason D. Hartline, Liren Shan, Aravindan Vijayaraghavan
2024	A*	`conf`	Higher-Order Cheeger Inequality for Partitioning with Buffers. SODA Konstantin Makarychev, Yury Makarychev, Liren Shan, Aravindan Vijayaraghavan
2024	J	`jnl`	LiD-FL: Towards List-Decodable Federated Learning. CoRR Hong Liu, Liren Shan, Han Bao, Ronghui You, Yuhao Yi, Jiancheng Lv
2023	A	`conf`	Approximation Algorithm for Norm Multiway Cut. ESA Charlie Carlson, Jafar Jafarov, Konstantin Makarychev, Yury Makarychev, Liren Shan
2023	J	`jnl`	Approximation Algorithms for Norm Multiway Cut. CoRR Charlie Carlson, Jafar Jafarov, Konstantin Makarychev, Yury Makarychev, Liren Shan
2023	J	`jnl`	Higher-Order Cheeger Inequality for Partitioning with Buffers. CoRR Konstantin Makarychev, Yury Makarychev, Liren Shan, Aravindan Vijayaraghavan
2023	A*	`conf`	Optimal Scoring Rules for Multi-dimensional Effort. COLT Jason D. Hartline, Liren Shan, Yingkai Li, Yifan Wu
2023	A*	`conf`	Random Cuts are Optimal for Explainable k-Medians. NeurIPS Konstantin Makarychev, Liren Shan
2023	J	`jnl`	Random Cuts are Optimal for Explainable k-Medians. CoRR Konstantin Makarychev, Liren Shan
2022	—	`conf`	Algorithmic Learning Foundations for Common Law. CSLAW Jason D. Hartline, Daniel W. Linna Jr., Liren Shan, Alex Tang
2022	J	`jnl`	Algorithmic Learning Foundations for Common Law. CoRR Jason D. Hartline, Daniel W. Linna Jr., Liren Shan, Alex Tang
2022	J	`jnl`	Edge Deletion Algorithms for Minimizing Spread in SIR Epidemic Models. SIAM J. Control. Optim. Yuhao Yi, Liren Shan, Philip E. Paré, Karl Henrik Johansson
2022	A*	`conf`	Explainable STOC Konstantin Makarychev, Liren Shan
2022	J	`jnl`	Fair Curing and Network Design in SIS Epidemic Processes. CoRR Yuhao Yi, Liren Shan, Philip E. Paré, Karl Henrik Johansson
2022	J	`jnl`	Optimal Scoring Rules for Multi-dimensional Effort. CoRR Jason D. Hartline, Liren Shan, Yingkai Li, Yifan Wu
2022	A*	`conf`	Optimization of Scoring Rules. EC Yingkai Li, Jason D. Hartline, Liren Shan, Yifan Wu
2021	J	`jnl`	Explainable k-means. Don't be greedy, plant bigger trees! CoRR Konstantin Makarychev, Liren Shan
2021	A*	`conf`	Near-Optimal Algorithms for Explainable k-Medians and k-Means. ICML Konstantin Makarychev, Liren Shan
2021	J	`jnl`	Near-optimal Algorithms for Explainable k-Medians and k-Means. CoRR Konstantin Makarychev, Liren Shan
2020	J	`jnl`	Edge Deletion Algorithms for Minimizing Spread in SIR Epidemic Models. CoRR Yuhao Yi, Liren Shan, Philip E. Paré, Karl Henrik Johansson
2020	A*	`conf`	Improved Guarantees for k-means++ and k-means++ Parallel. NeurIPS Konstantin Makarychev, Aravind Reddy, Liren Shan
2020	J	`jnl`	Improved Guarantees for k-means++ and k-means++ Parallel. CoRR Konstantin Makarychev, Aravind Reddy, Liren Shan
2020	J	`jnl`	Optimization of Scoring Rules. CoRR Jason D. Hartline, Yingkai Li, Liren Shan, Yifan Wu
2019	A*	`conf`	Current Flow Group Closeness Centrality for Complex Networks? WWW Huan Li, Richard Peng, Liren Shan, Yuhao Yi, Zhongzhi Zhang
2019	J	`jnl`	Stochastic Linear Optimization with Adversarial Corruption. CoRR Yingkai Li, Edmund Y. Lou, Liren Shan
2018	A*	`conf`	Biharmonic Distance Related Centrality for Edges in Weighted Networks. IJCAI Yuhao Yi, Liren Shan, Huan Li, Zhongzhi Zhang
2018	J	`jnl`	Current Flow Group Closeness Centrality for Complex Networks. CoRR Huan Li, Richard Peng, Liren Shan, Yuhao Yi, Zhongzhi Zhang
2018	A*	`conf`	Improving Information Centrality of a Node in Complex Networks by Adding Edges. IJCAI Liren Shan, Yuhao Yi, Zhongzhi Zhang
2018	J	`jnl`	Improving information centrality of a node in complex networks by adding edges. CoRR Liren Shan, Yuhao Yi, Zhongzhi Zhang
2018	J	`jnl`	Independence number and the number of maximum independent sets in pseudofractal scale-free web and Sierpiński gasket. CoRR Liren Shan, Huan Li, Zhongzhi Zhang
2018	J	`jnl`	Independence number and the number of maximum independent sets in pseudofractal scale-free web and Sierpiński gasket. Theor. Comput. Sci. Liren Shan, Huan Li, Zhongzhi Zhang
2017	J	`jnl`	Domination number and minimum dominating sets in pseudofractal scale-free web and Sierpiński graph. CoRR Liren Shan, Huan Li, Zhongzhi Zhang
2017	J	`jnl`	Domination number and minimum dominating sets in pseudofractal scale-free web and Sierpiński graph. Theor. Comput. Sci. Liren Shan, Huan Li, Zhongzhi Zhang
2017	J	`jnl`	Robustness of First- and Second-Order Consensus Algorithms for a Noisy Scale-Free Small-World Koch Network. IEEE Trans. Control. Syst. Technol. Yuhao Yi, Zhongzhi Zhang, Liren Shan, Guanrong Chen