JPEG-ACT: Accelerating Deep Learning via Transform-based Lossy Compression. - R. David Evans; Lufei Liu; Tor M. Aamodt (ISCA, 2020)

Building an English-Chinese Parallel Corpus Annotated with Sub-sentential Translation Techniques. - Yuming Zhai; Lufei Liu; Xinyi Zhong; Gabriel Illouz; Anne Vilnat (LREC, 2020)

Intersection Prediction for Accelerated GPU Ray Tracing. - Lufei Liu; Wesley Chang; Francois Demoullin; Yuan-Hsi Chou; Mohammadreza Saed; David Pankratz; Tyler Nowicki; Tor M. Aamodt (MICRO, 2021)

UFO: Unified Feature Optimization. - Teng Xi; Yifan Sun 003; Deli Yu; Bi Li 005; Nan Peng; Gang Zhang; Xinyu Zhang 015; Zhigang Wang 002; Jinwen Chen; Jian Wang 066; Lufei Liu; Haocheng Feng; et al. (ECCV (26), 2022)

Vulkan-Sim: A GPU Architecture Simulator for Ray Tracing. - Mohammadreza Saed; Yuan-Hsi Chou; Lufei Liu; Tyler Nowicki; Tor M. Aamodt (MICRO, 2022)

PatFig: Generating Short and Long Captions for Patent Figures. - Dana Aubakirova; Kim Gerdes; Lufei Liu (ICCV (Workshops), 2023)

LumiBench: A Benchmark Suite for Hardware Ray Tracing. - Lufei Liu; Mohammadreza Saed; Yuan-Hsi Chou; Davit Grigoryan; Tyler Nowicki; Tor M. Aamodt (IISWC, 2023)

Layered Rendering Diffusion Model for Zero-Shot Guided Image Synthesis. - Zipeng Qi; Guoxi Huang; Zebin Huang; Qin Guo; Jinwen Chen; Junyu Han; Jian Wang 066; Gang Zhang; Lufei Liu; Errui Ding; Jingdong Wang 001 (CoRR, 2023)

Generalizing Ray Tracing Accelerators for Tree Traversals on GPUs. - Dongho Ha; Lufei Liu; Yuan-Hsi Chou; Seokjin Go; Won Woo Ro; Hung-Wei Tseng 001; Tor M. Aamodt (MICRO, 2024)

ReFrame: Layer Caching for Accelerated Inference in Real-Time Rendering. - Lufei Liu; Tor M. Aamodt (CoRR, 2025)