Professional Summary
I am Liang Geng, a Ph.D. candidate in the Department of Computer Science and Engineering at The Ohio State University.
My research focuses on algorithm engineering, specifically leveraging NVIDIA RT Cores to accelerate non-rendering workloads,
such as geospatial data processing.
I am co-advised by Prof. Xiaodong Zhang and Dr. Rubao Lee,
and I maintain close research collaborations with Prof. Yanfeng Zhang
and Dr. Hao Wang.
Prior to joining OSU, I was a Senior Engineer at Alibaba DAMO Academy under the supervision of
Dr. Wenyuan Yu,
where I developed GPU support for libgrape-lite.
Education
PhD Computer Science
2022
2026 (Expected)
The Ohio State University
M.Eng., Computer Science
2016
2019
Northeastern University, China
B.Eng., Software Engineering
2012
2016
Liaoning Technical University, China
Interests
Geospatial Data Processing
Parallel Computing
Distributed Systems
Recent Publications
(2026).
X-HD: Fast Hausdorff Distance Computation with Ray Tracing.
International Conference on Supercomputing (ICS).
(2025).
LibRTS: A Spatial Indexing Library by Ray Tracing.
Proceedings of the 30th Symposium on Principles and Practice of Parallel Programming (PPoPP).
(2024).
RayJoin: Fast and Accurate Spatial Join with Ray Tracing.
International Conference on Supercomputing (ICS).
(2024).
RR-Compound: RDMA-fused gRPC for Low Latency and High Throughput with an Easy Interface.
IEEE Transactions on Parallel and Distributed Systems (TPDS).
(2024).
Ingress: an automated incremental graph processing system.
VLDB Journal, 1-26.