| 2025 | NDSS | Probe-Me-Not: Protecting Pre-trained Encoders from Malicious Probing. | Ruyi Ding, Tong Zhou, Lili Su, Aidong Adam Ding, Xiaolin Xu, Yunsi Fei |
| 2024 | ACSSC | Byzantine-Resilient Collaborative Hierarchical Non-Bayesian Learning. | Connor Mclaughlin, Matthew Ding, Deniz Erdogmus, Lili Su |
| 2024 | CISIS | Investigation of Location Problem in Logistics Centers Using ADMM Algorithm. | Lili Su, Qiong Li, Xiaolong Ma, Xu An Wang |
| 2024 | ECCV | Non-transferable Pruning. | Ruyi Ding, Lili Su, Aidong Adam Ding, Yunsi Fei |
| 2024 | INFOCOM | Distributed Experimental Design Networks. | Yuanyuan Li, Lili Su, Carlee Joe-Wong, Edmund Yeh, Stratis Ioannidis |
| 2023 | IROS | Privacy-Preserving and Uncertainty-Aware Federated Trajectory Prediction for Connected Autonomous Vehicles. | Muzi Peng, Jiangwei Wang, Dongjin Song, Fei Miao, Lili Su |
| 2023 | MOBIHOC | Cache-Enabled Federated Learning Systems. | Yuezhou Liu, Lili Su, Carlee Joe-Wong, Stratis Ioannidis, Edmund Yeh, Marie Siew |
| 2022 | INFOCOM | Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners under Networking Constraints. | Yuezhou Liu, Yuanyuan Li, Lili Su, Edmund Yeh, Stratis Ioannidis |
| 2021 | SSS | Lack of Quorum Sensing Leads to Failure of Consensus in Temnothorax Ant Emigration. | Jiajia Zhao, Lili Su, Nancy A. Lynch |
| 2019 | FUSION | Distributed Learning over Time-Varying Graphs with Adversarial Agents. | Pooja Vyavahare, Lili Su, Nitin H. Vaidya |
| 2019 | SIGMETRICS | Securing Distributed Gradient Descent in High Dimensional Statistical Learning. | Lili Su, Jiaming Xu |
| 2019 | SIGMETRICS | Collaboratively Learning the Best Option on Graphs, Using Bounded Local Memory. | Lili Su, Martin Zubeldia, Nancy A. Lynch |
| 2018 | ACSSC | On the Convergence Rate of Average Consensus and Distributed optimization over Unreliable Networks. | Lili Su |
| 2018 | SIGMETRICS | Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent. | Yudong Chen, Lili Su, Jiaming Xu |
| 2017 | SSS | Ant-Inspired Dynamic Task Allocation via Gossiping. | Hsin-Hao Su, Lili Su, Anna R. Dornhaus, Nancy A. Lynch |
| 2016 | PODC | Fault-Tolerant Multi-Agent Optimization: Optimal Iterative Distributed Algorithms. | Lili Su, Nitin H. Vaidya |
| 2016 | SSS | Asynchronous Non-Bayesian Learning in the Presence of Crash Failures. | Lili Su, Nitin H. Vaidya |
| 2016 | SSS | Robust Multi-agent Optimization: Coping with Byzantine Agents with Input Redundancy. | Lili Su, Nitin H. Vaidya |
| 2015 | APWEB | Multi-Label Emotion Tagging for Online News by Supervised Topic Model. | Ying Zhang, Lili Su, Zhifan Yang, Xue Zhao, Xiaojie Yuan |
| 2015 | SSS | Reaching Approximate Byzantine Consensus with Multi-hop Communication. | Lili Su, Nitin H. Vaidya |
| 2014 | ISIT | Similarity distances between permutations. | Lili Su, Farzad Farnoud, Olgica Milenkovic |
| 2014 | ISIT | Synchronizing rankings via interactive communication. | Lili Su, Olgica Milenkovic |
| 2008 | COMPSAC | Semantic-Oriented Ubiquitous Learning Object Management System SULOMS. | Lili Su, Shenggang Yang, Yushun Li, Xiaochun Cheng, Ronghuai Huang |