| 2026 | AAAI | Testing Under Strategic Manipulation: Mechanism Design for Human and AI Institutions. | Xiaoyun Qiu, Liren Shan |
| 2026 | SP | Ensemble Conformal Predictor (EnCP): A New Conformal Predictor with Robustness Guarantees Against Data Poisoning Attacks. | Yuxin Yang, Qiang Li, Runyang Feng, Liren Shan, Binghui Wang |
| 2026 | SIGMETRICS | Heterogeneous Multi-agent Multi-armed Bandit on Stochastic Block Models. | Mengfan Xu, Liren Shan, Fatemeh Ghaffari, Xuchuang Wang, Xutong Liu, Mohammad Hajiesmaili |
| 2025 | AAAI | LiD-FL: Towards List-Decodable Federated Learning. | Hong Liu, Liren Shan, Han Bao, Ronghui You, Yuhao Yi, Jiancheng Lv |
| 2025 | COLT | Computing High-dimensional Confidence Sets for Arbitrary Distributions. | Chao Gao, Liren Shan, Vaidehi Srinivas, Aravindan Vijayaraghavan |
| 2025 | ICML | Volume Optimality in Conformal Prediction with Structured Prediction Sets. | Chao Gao, Liren Shan, Vaidehi Srinivas, Aravindan Vijayaraghavan |
| 2024 | SODA | Higher-Order Cheeger Inequality for Partitioning with Buffers. | Konstantin Makarychev, Yury Makarychev, Liren Shan, Aravindan Vijayaraghavan |
| 2023 | COLT | Optimal Scoring Rules for Multi-dimensional Effort. | Jason D. Hartline, Liren Shan, Yingkai Li, Yifan Wu |
| 2023 | ESA | Approximation Algorithm for Norm Multiway Cut. | Charlie Carlson, Jafar Jafarov, Konstantin Makarychev, Yury Makarychev, Liren Shan |
| 2022 | STOC | Explainable | Konstantin Makarychev, Liren Shan |
| 2021 | ICML | Near-Optimal Algorithms for Explainable k-Medians and k-Means. | Konstantin Makarychev, Liren Shan |
| 2019 | WWW | Current Flow Group Closeness Centrality for Complex Networks? | Huan Li, Richard Peng, Liren Shan, Yuhao Yi, Zhongzhi Zhang |
| 2018 | IJCAI | Improving Information Centrality of a Node in Complex Networks by Adding Edges. | Liren Shan, Yuhao Yi, Zhongzhi Zhang |
| 2018 | IJCAI | Biharmonic Distance Related Centrality for Edges in Weighted Networks. | Yuhao Yi, Liren Shan, Huan Li, Zhongzhi Zhang |