| 2026 | HPCA | SCALE: Tackling Communication Bottlenecks in Confidential Distributed Machine Learning. | Joongun Park, Yongqin Wang, Huan Xu, Hanjiang Wu, Mengyuan Li, Tushar Krishna |
| 2026 | ISCA | MC-ORAM: A Mask-Assisted and Counter-Based Non-Deterministic ORAM Inside VM-Based TEEs. | Yongqin Wang, Rachit Rajat, Jonghyun Lee, Mengyuan Li, Murali Annavaram |
| 2024 | ASPLOS | MPC-Pipe: an Efficient Pipeline Scheme for Semi-honest MPC Machine Learning. | Yongqin Wang, Rachit Rajat, Murali Annavaram |
| 2023 | ISCA | LAORAM: A Look Ahead ORAM Architecture for Training Large Embedding Tables. | Rachit Rajat, Yongqin Wang, Murali Annavaram |
| 2022 | ISPASS | Characterization of MPC-based Private Inference for Transformer-based Models. | Yongqin Wang, G. Edward Suh, Wenjie Xiong, Benjamin Lefaudeux, Brian Knott, Murali Annavaram, Hsien-Hsin S. Lee |
| 2022 | MICRO | PageORAM: An Efficient DRAM Page Aware ORAM Strategy. | Rachit Rajat, Yongqin Wang, Murali Annavaram |
| 2021 | MICRO | DarKnight: An Accelerated Framework for Privacy and Integrity Preserving Deep Learning Using Trusted Hardware. | Hanieh Hashemi, Yongqin Wang, Murali Annavaram |