| 2024 | ICML | Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data. | Yvonne Zhou, Mingyu Liang, Ivan Brugere, Danial Dervovic, Antigoni Polychroniadou, Min Wu, Dana Dachman-Soled |
| 2023 | ASPLOS | Ditto: End-to-End Application Cloning for Networked Cloud Services. | Mingyu Liang, Yu Gan, Yueying Li, Carlos Torres, Abhishek Dhanotia, Mahesh Ketkar, Christina Delimitrou |
| 2023 | ICDE | A High-Performance Index for Real-Time Matrix Retrieval (Extended Abstract). | Zeyi Wen, Mingyu Liang, Bingsheng He, Zexin Xia |
| 2023 | ISCA | Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks. | Mingyu Liang, Wenyin Fu, Louis Feng, Zhongyi Lin, Pavani Panakanti, Shengbao Zheng, Srinivas Sridharan, Christina Delimitrou |
| 2022 | ACNS | Spreading the Privacy Blanket: - Differentially Oblivious Shuffling for Differential Privacy. | S. Dov Gordon, Jonathan Katz, Mingyu Liang, Jiayu Xu |
| 2021 | ASPLOS | Sage: practical and scalable ML-driven performance debugging in microservices. | Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou |
| 2019 | ICDE | Aucher: Multi-modal Queries on Live Audio Streams in Real-Time. | Zeyi Wen, Mingyu Liang, Bingsheng He, Zexin Xia, Bo Li |
| 2019 | ICPP | When Power Oversubscription Meets Traffic Flood Attack: Re-Thinking Data Center Peak Load Management. | Xiaofeng Hou, Mingyu Liang, Chao Li, Wenli Zheng, Quan Chen, Minyi Guo |