| 2026 | EuroSys | Taming Latency-Memory Trade-Off in MoE-Based LLM Serving via Fine-Grained Expert Offloading. | Hanfei Yu, Xingqi Cui, Hong Zhang, Hao Wang, Hao Wang |
| 2025 | CLOUD | Multi-Agent Reinforcement Learning with Serverless Computing. | Rui Wei, Hanfei Yu, Xikang Song, Jian Li, Devesh Tiwari, Ying Mao, Hao Wang |
| 2024 | AAAI | Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing. | Hanfei Yu, Jian Li, Yang Hua, Xu Yuan, Hao Wang |
| 2024 | ASPLOS | RainbowCake: Mitigating Cold-starts in Serverless with Layer-wise Container Caching and Sharing. | Hanfei Yu, Rohan Basu Roy, Christian Fontenot, Devesh Tiwari, Jian Li, Hong Zhang, Hao Wang, Seung-Jong Park |
| 2024 | CLOUD | Pre-Warming is Not Enough: Accelerating Serverless Inference With Opportunistic Pre-Loading. | Yifan Sui, Hanfei Yu, Yitao Hu, Jianxun Li, Hao Wang |
| 2024 | SC | Stellaris: Staleness-Aware Distributed Reinforcement Learning with Serverless Computing. | Hanfei Yu, Hao Wang, Devesh Tiwari, Jian Li, Seung-Jong Park |
| 2023 | HPDC | Libra: Harvesting Idle Resources Safely and Timely in Serverless Clusters. | Hanfei Yu, Christian Fontenot, Hao Wang, Jian Li, Xu Yuan, Seung-Jong Park |
| 2022 | WWW | Accelerating Serverless Computing by Harvesting Idle Resources. | Hanfei Yu, Hao Wang, Jian Li, Xu Yuan, Seung-Jong Park |
| 2020 | DASC | Implications of Programming Language Selection for Serverless Data Processing Pipelines. | Robert Cordingly, Hanfei Yu, Varik Hoang, David Perez, David Foster, Zohreh Sadeghi, Rashad Hatchett, Wes J. Lloyd |
| 2020 | Middleware | The Serverless Application Analytics Framework: Enabling Design Trade-off Evaluation for Serverless Software. | Robert Cordingly, Hanfei Yu, Varik Hoang, Zohreh Sadeghi, David Foster, David Perez, Rashad Hatchett, Wes Lloyd |