Hongyuan Liu

Orcid: 0000-0002-6961-6394

Affiliations:
  • Stevens Institute of Technology, Hoboken, NJ, USA
  • Hong Kong University of Science and Technology (Guangzhou), Guangzhou, Guangdong, China (former)
  • College of William & Mary, Williamsburg, VA, USA (former)
  • The University of Hong Kong, SAR, China (former)


According to our database1, Hongyuan Liu authored at least 17 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
cuPTW: Leveraging Idle Compute Units for Massively Parallel GPU Page Table Walks.
Proceedings of the Abstracts of the 2026 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2026

ROME: Maximizing GPU Efficiency for All-Pairs Shortest Path via Taming Fine-Grained Irregularities.
Proceedings of the 31st ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2026

2025
Interleaved Bitstream Execution for Multi-Pattern Regex Matching on GPUs.
Dataset, August, 2025

gHyPart: GPU-friendly End-to-End Hypergraph Partitioner.
ACM Trans. Archit. Code Optim., March, 2025

Dissecting the NVIDIA Hopper Architecture through Microbenchmarking and Multiple Level Analysis.
CoRR, January, 2025

VESTA: A Secure and Efficient FHE-based Three-Party Vectorized Evaluation System for Tree Aggregation Models.
Proceedings of the Abstracts of the 2025 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2025

Interleaved Bitstream Execution for Multi-Pattern Regex Matching on GPUs.
Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture, 2025

2024
Efficient Point Cloud Analytics on Edge Devices.
Proceedings of the 30th IEEE International Conference on Parallel and Distributed Systems, 2024

ngAP: Non-blocking Large-scale Automata Processing on GPUs.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023
ngAP: Non-blocking Large-scale Automata P rocessing on GPUs.
Dataset, September, 2023

Asynchronous Automata Processing on GPUs.
Proceedings of the Abstract Proceedings of the 2023 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2023

2021
Accelerating DNN Architecture Search at Scale Using Selective Weight Transfer.
Proceedings of the IEEE International Conference on Cluster Computing, 2021

2020
Why GPUs are Slow at Executing NFAs and How to Make them Faster.
Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

2019
Analyzing and Leveraging Remote-Core Bandwidth for Enhanced Performance in GPUs.
Proceedings of the 28th International Conference on Parallel Architectures and Compilation Techniques, 2019

2018
On-GPU Thread-Data Remapping for Branch Divergence Reduction.
ACM Trans. Archit. Code Optim., 2018

Architectural Support for Efficient Large-Scale Automata Processing.
Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018

2016
Lightweight Dependency Checking for Parallelizing Loops with Non-Deterministic Dependency on GPU.
Proceedings of the 22nd IEEE International Conference on Parallel and Distributed Systems, 2016


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