Mingze Xia
Hello, my name is Mingze Xia(夏铭泽), I am pursuing a Ph.D. in Computer Science at Oregon State University. My supervisor is Dr. Xin Liang.
I received my B.Math(Hons) in Statistics from the University of Waterloo in 2017 and my Master’s degree in Data Science from The University of Melbourne in 2019. Previously, I worked as a Research Fellow at Duke Kunshan University and as a Data Scientist at Huawei from 2020 to 2022. My research interests focus on lossy compression, deep learning, and data mining.
I am currently seeking internship opportunities for 2027 in both industry and academia.
Research Interests
- Lossy Compression
- Deep Learning
- Data Mining
- Data Visualization
Paper(s) Under Review
- 1 * VIS
Latest News
04/2026: One paper was accepted by IEEE TVCG.
02/2026: One paper was accepted to ICDE’26!
12/2025: Our paper “pMSz: A Distributed Parallel Algorithm for Correcting Morse-Smale Segmentations for Lossy Compression” was accepted to IPDPS’26.
12/2025: Our paper “Mitigating Artifacts in Pre-quantization Based Scientific Data Compressors with Quantization-aware Interpolation” was accepted to IPDPS’26.
08/2025: I will move to Oregon State University.
05/2025: Our paper “Enabling Efficient Error-controlled Lossy Compression for Unstructured Scientific Data” was selected as IPDPS’25 Best Paper Award.
03/2025: One paper was accepted in ICDE’25.
12/2024: Our paper “Enabling Efficient Error-controlled Lossy Compression for Unstructured Scientific Data” was accepted to IPDPS’25 (nominated for the Best Paper Award).
12/2024: Our paper “Improving the Efficiency of Interpolation-Based Scientific Data Compressors with Adaptive Quantization Index Prediction” was accepted to IPDPS’25.
04/2024: I received the Outstanding Student Paper Award from the Department of Computer Science, University of Kentucky.
12/2023: My first paper was accepted to ICDE’24.
09/2022: I started my Ph.D. studies in Computer Science at the University of Kentucky.