Lufei Liu

According to our database, Lufei Liu authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Generalizing Ray Tracing Accelerators for Tree Traversals on GPUs.

Dongho Ha, Lufei Liu, Yuan-Hsi Chou, Seokjin Go, Won Woo Ro, Hung-Wei Tseng, Tor M. Aamodt

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

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, Gang Zhang, Lufei Liu, Errui Ding, Jingdong Wang

CoRR, 2023

LumiBench: A Benchmark Suite for Hardware Ray Tracing.

Lufei Liu, Mohammadreza Saed, Yuan-Hsi Chou, Davit Grigoryan, Tyler Nowicki, Tor M. Aamodt

Proceedings of the IEEE International Symposium on Workload Characterization, 2023

PatFig: Generating Short and Long Captions for Patent Figures.

Dana Aubakirova, Kim Gerdes, Lufei Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Vulkan-Sim: A GPU Architecture Simulator for Ray Tracing.

Mohammadreza Saed, Yuan-Hsi Chou, Lufei Liu, Tyler Nowicki, Tor M. Aamodt

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

UFO: Unified Feature Optimization.

Teng Xi, Yifan Sun, Deli Yu, Bi Li, Nan Peng, Gang Zhang, Xinyu Zhang, Zhigang Wang, Jinwen Chen, Jian Wang, Lufei Liu, Haocheng Feng, Junyu Han, Jingtuo Liu, Errui Ding, Jingdong Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

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

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

2020

Building an English-Chinese Parallel Corpus Annotated with Sub-sentential Translation Techniques.

Yuming Zhai, Lufei Liu, Xinyi Zhong, Gabriel Illouz, Anne Vilnat

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

JPEG-ACT: Accelerating Deep Learning via Transform-based Lossy Compression.

R. David Evans, Lufei Liu, Tor M. Aamodt

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020