Hongyuan Liu
Email: hliu96 at stevens edu
Office: Gateway Center N416
I am an assistant professor at Stevens Institute of Technology. I work in the areas of computer architecture and parallel computing.
I obtained my Ph.D. degree at William & Mary advised by Adwait Jog. I received my M.Sc. degree at the University of Hong Kong working with Cho-Li Wang, and my B.Eng. degree from Shandong University.
I am looking for self-motivated students interested in research in high-performance computing, systems, and compilers. Both PhD positions and research assistantships are available. If you are interested, please email me your CV and briefly explain your motivation and research interests.
Research
- Interleaved Bitstream Execution for Multi-Pattern Regex Matching on GPUs. Tianao Ge, Xiaowen Chu, Hongyuan Liu. MICRO 2025
- VESTA: A Secure and Efficient FHE-based Three-Party Vectorized Evaluation System for Tree Aggregation Models. Haosong Zhao, Junhao Huang, Zihang Chen, Kunxiong Zhu, Donglong Chen, Zhuoran Ji, Hongyuan Liu. SIGMETRICS 2025
- gHyPart: GPU-friendly End-to-End Hypergraph Partitioner. Zhenlin Wu, Haosong Zhao, Hongyuan Liu, Wujie Wen, Jiajia Li. TACO 2025
- Efficient Point Cloud Analytics on Edge Devices. Kunxiong Zhu, Zhenlin Wu, Hongyuan Liu. ICPADS 2024
- ngAP: Non-blocking Large-scale Automata Processing on GPUs. Tianao Ge, Tong Zhang, Hongyuan Liu. ASPLOS 2024 [Best Paper Award]
- Asynchronous Automata Processing on GPUs. Hongyuan Liu, Sreepathi Pai, Adwait Jog. SIGMETRICS 2023
- Accelerating DNN Architecture Search at Scale Using Selective Weight Transfer. Hongyuan Liu, Bogdan Nicolae, Sheng Di, Franck Cappello, Adwait Jog. CLUSTER 2021
- Why GPUs are Slow at Executing NFAs and How to Make them Faster. Hongyuan Liu, Sreepathi Pai, Adwait Jog. ASPLOS 2020
- Analyzing and Leveraging Remote-core Bandwidth for Enhanced Performance in GPUs. Mohamed Assem Ibrahim, Hongyuan Liu, Onur Kayiran, Adwait Jog. PACT 2019
- Architectural Support for Efficient Large-Scale Automata Processing. Hongyuan Liu, Mohamed Assem Ibrahim, Onur Kayiran, Sreepathi Pai, Adwait Jog. MICRO 2018
- On-GPU Thread-Data Remapping for Branch Divergence Reduction. Huanxin Lin, Cho-Li Wang, Hongyuan Liu. TACO 2018
- Lightweight Dependency Checking for Parallelizing Loops with Non-deterministic Dependency on GPU. Hongyuan Liu, King Tin Lam, Huanxin Lin, Cho-Li Wang, Junchao Ma. ICPADS 2016
* Names with underlines indicate students I advised.
Teaching
- UFUG2601: C++ Programming (Fall 2024, Fall 2023, co-teach with Prof. Yangdi Lyu)
- MICS6000R: Advanced Compilers (Spring 2023, Fall 2024)
- MICS6000J: GPU Architectures and Programming (Fall 2023, Fall 2022)