| 2026 | ISPASS | Beyond Latency: A System-Level Characterization of MPC and FHE for PPML. | Pengzhi Huang, Kiwan Maeng, G. Edward Suh |
| 2025 | ASPLOS | Practical Federated Recommendation Model Learning Using ORAM with Controlled Privacy. | Jinyu Liu, Wenjie Xiong, G. Edward Suh, Kiwan Maeng |
| 2025 | ASPLOS | Pirate: No Compromise Low-Bandwidth VR Streaming for Edge Devices. | Yingtian Zhang, Yan Kang, Ziyu Ying, Wanhang Lu, Sijie Lan, Huijuan Xu, Kiwan Maeng, Anand Sivasubramaniam, Mahmut T. Kandemir, Chita R. Das |
| 2025 | ISCA | Hermes: Algorithm-System Co-design for Efficient Retrieval-Augmented Generation At-Scale. | Michael Shen, Muhammad Umar, Kiwan Maeng, G. Edward Suh, Udit Gupta |
| 2024 | ASPLOS | GPU-based Private Information Retrieval for On-Device Machine Learning Inference. | Maximilian Lam, Jeff Johnson, Wenjie Xiong, Kiwan Maeng, Udit Gupta, Yang Li, Liangzhen Lai, Ilias Leontiadis, Minsoo Rhu, Hsien-Hsin S. Lee, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks, G. Edward Suh |
| 2024 | ASPLOS | LazyDP: Co-Designing Algorithm-Software for Scalable Training of Differentially Private Recommendation Models. | Juntaek Lim, Youngeun Kwon, Ranggi Hwang, Kiwan Maeng, G. Edward Suh, Minsoo Rhu |
| 2024 | CC | Compiler-Based Memory Encryption for Machine Learning on Commodity Low-Power Devices. | Kiwan Maeng, Brandon Lucia |
| 2023 | ASPLOS | Carbon Explorer: A Holistic Framework for Designing Carbon Aware Datacenters. | Bilge Acun, Benjamin C. Lee, Fiodar Kazhamiaka, Kiwan Maeng, Udit Gupta, Manoj Chakkaravarthy, David Brooks, Carole-Jean Wu |
| 2023 | ICML | Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis. | Sanjay Kariyappa, Chuan Guo, Kiwan Maeng, Wenjie Xiong, G. Edward Suh, Moinuddin K. Qureshi, Hsien-Hsin S. Lee |
| 2023 | ISCA | Optimizing CPU Performance for Recommendation Systems At-Scale. | Rishabh Jain, Scott Cheng, Vishwas Kalagi, Vrushabh Sanghavi, Samvit Kaul, Meena Arunachalam, Kiwan Maeng, Adwait Jog, Anand Sivasubramaniam, Mahmut Taylan Kandemir, Chita R. Das |
| 2022 | MICRO | An Architectural Charge Management Interface for Energy-Harvesting Systems. | Emily Ruppel, Milijana Surbatovich, Harsh Desai, Kiwan Maeng, Brandon Lucia |
| 2022 | RecSys | Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity. | Kiwan Maeng, Haiyu Lu, Luca Melis, John Nguyen, Mike Rabbat, Carole-Jean Wu |
| 2020 | PLDI | Adaptive low-overhead scheduling for periodic and reactive intermittent execution. | Kiwan Maeng, Brandon Lucia |
| 2019 | PLDI | Supporting peripherals in intermittent systems with just-in-time checkpoints. | Kiwan Maeng, Brandon Lucia |
| 2018 | OSDI | Adaptive Dynamic Checkpointing for Safe Efficient Intermittent Computing. | Kiwan Maeng, Brandon Lucia |