| 2024 | MICRO | Hardware-Assisted Virtualization of Neural Processing Units for Cloud Platforms. | Yuqi Xue, Yiqi Liu, Lifeng Nai, Jian Huang |
| 2023 | ICCV | TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching. | Cheng Fu, Hanxian Huang, Zixuan Jiang, Yun Ni, Lifeng Nai, Gang Wu, Liqun Cheng, Yanqi Zhou, Sheng Li, Andrew Li, Jishen Zhao |
| 2023 | ISCA | TPU v4: An Optically Reconfigurable Supercomputer for Machine Learning with Hardware Support for Embeddings. | Norman P. Jouppi, George Kurian, Sheng Li, Peter C. Ma, Rahul Nagarajan, Lifeng Nai, Nishant Patil, Suvinay Subramanian, Andy Swing, Brian Towles, Cliff Young, Xiang Zhou, Zongwei Zhou, David A. Patterson |
| 2023 | ISCA | V10: Hardware-Assisted NPU Multi-tenancy for Improved Resource Utilization and Fairness. | Yuqi Xue, Yiqi Liu, Lifeng Nai, Jian Huang |
| 2021 | HPCA | NeuroMeter: An Integrated Power, Area, and Timing Modeling Framework for Machine Learning Accelerators Industry Track Paper. | Tianqi Tang, Sheng Li, Lifeng Nai, Norman P. Jouppi, Yuan Xie |
| 2017 | HPCA | GraphPIM: Enabling Instruction-Level PIM Offloading in Graph Computing Frameworks. | Lifeng Nai, Ramyad Hadidi, Jaewoong Sim, Hyojong Kim, Pranith Kumar, Hyesoon Kim |
| 2015 | SC | GraphBIG: understanding graph computing in the context of industrial solutions. | Lifeng Nai, Yinglong Xia, Ilie Gabriel Tanase, Hyesoon Kim, Ching-Yung Lin |
| 2014 | SIGMOD | A Highly Efficient Runtime and Graph Library for Large-Scale Graph Analytics. | Ilie Gabriel Tanase, Yinglong Xia, Lifeng Nai, Yanbin Liu, Wei Tan, Jason Crawford, Ching-Yung Lin |