Biography
Dr. Xin Liang is a tenure-track associate professor with the School of Electrical Engineering and Computer Science at Oregon State University. He received his Ph.D. in Computer Science from University of California, Riverside in 2019. Prior to that, he received his B.S. in Computer Science from Peking University in 2014, with a minor in Math and Applied Math. During his Ph.D. studies, he worked as student interns in the Extreme Scale Resilience Group and the Parallel Extreme-Scale Data Analytics Team at Argonne National Laboratory (ANL), the Scalable Machine Learning Group at Pacific Northwest National Laboratory (PNNL), and the Data Science at Scale Team at Los Alamos National Laboratory (LANL). Prior to joining Oregon State University, he worked as an assistant professor at University of Kentucky and Missouri University of Science and Technology, and Computer/Data Scientist in the Workflow Systems Group at Oak Ridge National Laboratory (ORNL).
Dr. Liang's research interests lie broadly in the areas of high-performance computing, parallel and distributed systems, scientific data management, large-scale data analytics, and distributed machine learning. He has published in many highly competitive conferences and journals such as IEEE/ACM SC, ACM HPDC, ACM PPoPP, ACM ICS, IEEE IPDPS, ACM PACT, IEEE BigData, IEEE Cluster, IEEE TPDS etc. He has received a Dissertation Year Fellowship (DYP) from UCR, two Best Paper Awards from IEEE Cluster, one Best Paper Finalist from ACM ICS, one Best Paper Award from IEEE IPDPS, one Best Paper Award from IEEE TBD, a CRII Award from the NSF, an EPSCoR Fellowship from the NSF, and a CAREER Award from the NSF. He has also received the IEEE CS TCHPC Early Career Researchers Award For Excellence in High Performance Computing in 2024. While working at ORNL, he led the ESAMR project funded by the Director's Research and Development (DRD) program as principal investigator. He is one of the key developers of SZ and major contributors of MGARD, which are two widely used data reduction software in the scientific computing community. More details about Dr. Liang can be found in his CV.
Dr. Liang is always looking for self-motivated students to work on high-performance computing, scientific data management, and big data analytics. If you're interested in his research, please contact him at xin.liang@oregonstate.edu. According to CS ranking, Oregon State University is ranked 13th among all the US universities in the area of high-performance computing.
Latest News
- 09/2026: Xuan has received the ACM-IEEE CS George Michael Memorial HPC Fellowships that honors exceptional graduate students (up to three awardees and one honorable mention worldwide) in high performance computing, networking, storage, and large-scale data analysis. This is great achievement and shows recognition from the community. Big congratulations to Xuan! [Announcement]
- 09/2026: Shitao and Linze joined our team as PhD students. Both of them have received the OSU College of Engineering scholarship ($10K for one year). Congratulations and welcome, Shitao and Linze!
- 08/2026: One paper has been accepted by CIKM'26.
- 07/2026: Three papers have been accepted by VIS'26.
- 07/2026: Two papers have been accepted by SC'26. Congratulations to Wenbo!
- 04/2026: Pu has accepted an offer from University of Texas Rio Grand Valley and will start as a tenure-track Assistant Professor there on August. Congratulations to Prof. Pu!
- 04/2026: Pu has successfully defended his PhD. Congratulations to Dr. Pu!
- 04/2026: One paper has been accepted by TVCG.
- 03/2026: One paper has been accepted by HPDC'26. Congratulations to Wenbo!
- 02/2026: Two papers have been accepted by ICDE'26. Congratulations to Mingze and Xuan!
- 12/2025: Two papers have been accepted by IPDPS'26. Congratulations to Pu!
- 07/2025: One paper has been accepted by VIS'25.
- 07/2025: Jiannan has accepted an offer from Oakland University and will start as a tenure-track Assistant Professor there on August. Congratulations to Prof. Tian!
- 06/2025: Four papers have been accepted by SC'25. Congratulations to Wenbo on his co-first author paper!
- 06/2025: Jiannan's CSSI project has been awarded by the National Science Foundation (his role: site PI, in collaborations with the University of Houston and the University of Chicago). Congratulations to Jiannan!
- 06/2025: Xuan's paper on unstructured scientific data compression has been selected as the Best Paper Award in IPDPS'25. Congratulations to Xuan and the team!
- 04/2025: One paper has been accepted at VLDB'25. Congratulations to Pu!
- 04/2025: I am very honored to receive the Pigman College of Engineering Excellence in Research Award (one out of all Assistant Professors in the Stanley and Karen Pigman Colledge of Engineering at the University of Kentucky). Thanks a lot for the recognition from the college!
- 04/2025: Our OAC Core project has been awarded by the National Science Foundation (my role: site PI, in collaborations with the University of Illinois, Urbana-Champaign). This project aims to design a learning-driven framework to mitigate artifacts in scientific lossy data compressors. Thanks a lot to the NSF!
- 03/2025: One paper has been accepted at ICDE'25. Congratulations to Mingze!
- 01/2025: Xuan's paper on unstructured scientific data compression has been nominated for the Best Paper Award in IPDPS'25. Congratulations to Xuan and the team!
- 01/2025: One paper has been accepted at PacificVis'25 (TVCG journal track).
Research Interests
- Parallel, distributed, and heterogeneous systems.
- Data management, reduction, refactoring, and streaming.
- Scientific visualization and data analytics.
- Large-scale machine learning and deep learning.
- Cloud and edge computing.
- Fault tolerant mechanics, algorithms, and implementations.
- Linear algebra and numerical algorithms.
Education
- Ph. D. in Computer Science, University of California, Riverside, 2014-2019.
- B. S. in Computer Science, Peking University, 2010-2014.
- Minor in Mathematics, Peking University, 2011-2014.
Selected Publications (Full List, Google Scholar)
My students are underlined.
SC'26
Wenbo Li, Xuan Wu, Qian Gong, Pu Jiao, Jieyang Chen, Qing Liu, Norbert Podhorszki, Scott Klasky, and Xin Liang.
Improving Progressive Compression with Adaptive Interpolation and Coefficient Decomposition.
Proceedings of the 2026 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, Chicago, IL, USA, Nov 15 - 20, 2026.
HPDC'26
Wenbo Li, Qian Gong, Xuan Wu, Jieyang Chen, Qing Liu, Xubin He, Norbert Podhorszki, Scott Klasky, and Xin Liang.
QProR: An Efficient Framework for Quantity-of-Interest Based Progressive Retrieval with Guaranteed Error Control.
Proceedings of the 35th ACM International Symposium on High-Performance Parallel and Distributed Computing, Cleveland, OH, July 13 - 16, 2026. [DOI]
ICDE'26
Mingze Xia, Yuxiao Li, Pu Jiao, Bei Wang, Xin Liang*, and Hanqi Guo.
Time-varying Vector Field Compression with Preserved Critical Point Trajectories.
Proceedings of the 42nd IEEE International Conference on Data Engineering, Montreal, Canada, May 4 - 8, 2026. (*: Corresponding author) [DOI]
ICDE'26
Xuan Wu, Sheng Di, Tripti Agarwal, Kai Zhao, Xin Liang*, and Franck Cappello.
Enabling Homomorphic Analytical Operations on Compressed Scientific Data with Multi-stage Decompression.
Proceedings of the 42nd IEEE International Conference on Data Engineering, Montreal, Canada, May 4 - 8, 2026. (*: Corresponding author) [DOI]
IPDPS'26
Pu Jiao, Sheng Di, Jiannan Tian, Mingze Xia, Xuan Wu, Yang Zhang, Xin Liang*, and Franck Cappello.
Mitigating Artifacts in Pre-quantization Based Scientific Data Compressors with Quantization-aware Interpolation.
Proceedings of the 40th IEEE International Parallel & Distributed Processing Symposium, New Orleans, LA, May 25 - May 29, 2026. Acceptance Rate: 23.3% (101/434). (*: Corresponding author) [DOI]
SC'25
Yanliang Li+, Wenbo Li+, Qian Gong, Qing Liu, Norbert Podhorszki, Scott Klasky, Xin Liang, and Jieyang Chen.
HP-MDR: High-performance and Portable Data Refactoring and Progressive Retrieval with Advanced GPUs.
Proceedings of the 2025 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, St. Louis, MO, USA, Nov 16 - 21, 2025. Acceptance Rate: 22.0% (137/623). (+: Co-first authors) [DOI]
VLDB'25
Jinyang Liu+, Pu Jiao+, Kai Zhao, Xin Liang*, Sheng Di, and Franck Cappello.
QPET: A Versatile and Portable Quantity-of-Interest-Preservation Framework for Error-Bounded Lossy Compression.
Proceedings of the 51st International Conference on Very Large Data Bases, London, United Kingdom, Sep 1 - Sep 5, 2025. (+: Co-first authors) (*: Corresponding author) [DOI]
ICDE'25
Mingze Xia, Bei Wang, Yuxiao Li, Pu Jiao, Xin Liang*, and Hanqi Guo.
TspSZ: An Efficient Parallel Error-Bounded Lossy Compressor for Topological Skeleton Preservation.
Proceedings of the 41st IEEE International Conference on Data Engineering, Hong Kong SAR, China, May 19 - 23, 2025. Acceptance Rate: 19.8% (300/1518). (*: Corresponding author) [DOI]
IPDPS'25
Pu Jiao, Sheng Di, Mingze Xia, Xuan Wu, Jinyang Liu, Xin Liang*, and Franck Cappello.
Improving the Efficiency of Interpolation-Based Scientific Data Compressors with Adaptive Quantization Index Prediction.
Proceedings of the 39th IEEE International Parallel & Distributed Processing Symposium, Milan, Italy, June 3 - June 7, 2025. Acceptance Rate: 24.7% (105/425). (*: Corresponding author) [DOI]
IPDPS'25
Xuan Wu, Sheng Di, Congrong Ren, Pu Jiao, Mingze Xia, Cheng Wang, Hanqi Guo, Xin Liang*, and Franck Cappello.
Enabling Efficient Error-controlled Lossy Compression for Unstructured Scientific Data (Best Paper Award).
Proceedings of the 39th IEEE International Parallel & Distributed Processing Symposium, Milan, Italy, June 3 - June 7, 2025. Acceptance Rate: 24.7% (105/425). (*: Corresponding author) [DOI]
SC'24
Xuan Wu, Qian Gong, Jieyang Chen, Qing Liu, Norbert Podhorszki, Xin Liang*, and Scott Klasky.
Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest.
Proceedings of the 2024 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, Atlanta, GA, USA, Nov 17 - 22, 2024. Acceptance Rate: 21.1% (99/470). (*: Corresponding author) [DOI]
ICDE'24
Mingze Xia, Sheng Di, Franck Cappello, Pu Jiao, Kai Zhao, Jinyang Liu, Xuan Wu, Xin Liang*, and Hanqi Guo.
Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points.
Proceedings of the 40th IEEE International Conference on Data Engineering, Utrecht, Netherlands, May 13 - 16, 2024. Acceptance Rate: 25.4% (376/1481). (*: Corresponding author) [DOI]