CV

Education

• Ph.D in Computer Science, Oregon State University, 2027 (expected)
• M.S. in Data Science, The University of Melbourne, 2022
• B.Math. in Statistics, University of Waterloo, 2017

Work experience

• Aug 2022 - Aug 2025: Teaching Assistant & Research Assistant
  • University of Kentucky
• May 2022 - Aug 2022: Research Fellow in Data Science
  • Duke Kunshan University
  • Supervisor: Prof. Shixin Xu
• May 2020- May 2022: SDE & Data Scientist
  • Huawei
• Winter 2017: Data Analyst - Internship
  • Qianhai Reinsurance Co., Ltd
• Spring 2016: Quantitative Analyst - Internship
  • China Galaxy Securities

Publications

Time-varying Vector Field Compression with Preserved Critical Point Trajectories

Xia, Mingze; Li, Yuxiao; Jiao, Pu; Wang, Bei; Liang, Xin; Guo, Hanqi (2026). "Time-varying Vector Field Compression with Preserved Critical Point Trajectories." 2026 IEEE 42nd International Conference on Data Engineering (ICDE).

pMSz: A Distributed Parallel Algorithm for Correcting Morse-Smale Segmentations for Lossy Compression

Li, Yuxiao; Xia, Mingze; Liang, Xin; Wang, Bei; Underwood, Robert; Di, Sheng; Sharma, Hemant; Beniwal, Dishant; Cappello, Franck; Guo, Hanqi (2026). "pMSz: A Distributed Parallel Algorithm for Correcting Morse-Smale Segmentations for Lossy Compression" 2026 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

Mitigating Artifacts in Pre-quantization Based Scientific Data Compressors with Quantization-aware Interpolation

Jiao, Pu; Di, Sheng; Tian, Jiannan; Xia, Mingze; Wu, Xuan; Zhang, Yang; Liang, Xin; Cappello, Franck (2026). "Mitigating Artifacts in Pre-quantization Based Scientific Data Compressors with Quantization-aware Interpolation" 2026 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

TspSZ: An Efficient Parallel Error-Bounded Lossy Compressor for Topological Skeleton Preservation

Xia, Mingze; Wang, Bei; Li, Yuxiao; Jiao, Pu; Liang, Xin; Guo, Hanqi (2025). "TspSZ: An Efficient Parallel Error-Bounded Lossy Compressor for Topological Skeleton Preservation." 2025 IEEE 41st International Conference on Data Engineering (ICDE). pp. 3682-3695. IEEE Computer Society.

Improving the Efficiency of Interpolation-based Scientific Data Compressors with Adaptive Quantization Index Prediction

Jiao, Pu; Di, Sheng; Xia, Mingze; Wu, Xuan; Liu, Jinyang; Liang, Xin; Cappello, Franck (2025). "Improving the Efficiency of Interpolation-based Scientific Data Compressors with Adaptive Quantization Index Prediction." 2025 IEEE International Parallel and Distributed Processing Symposium (IPDPS). pp. 974-986. IEEE.

Enabling Efficient Error-Controlled Lossy Compression for Unstructured Scientific Data

Wu, Xuan; Di, Sheng; Ren, Congrong; Jiao, Pu; Xia, Mingze; Wang, Cheng; Guo, Hanqi; Liang, Xin; Cappello, Franck (2025). "Enabling Efficient Error-Controlled Lossy Compression for Unstructured Scientific Data." 2025 IEEE International Parallel and Distributed Processing Symposium (IPDPS). pp. 370-382. IEEE.

Preserving topological feature with sign-of-determinant predicates in lossy compression: A case study of vector field critical points

Xia, Mingze; Di, Sheng; Cappello, Franck; Jiao, Pu; Zhao, Kai; Liu, Jinyang; Wu, Xuan; Liang, Xin; Guo, Hanqi (2024). "Preserving topological feature with sign-of-determinant predicates in lossy compression: A case study of vector field critical points." 2024 IEEE 40th International Conference on Data Engineering (ICDE). pp. 4979-4992. IEEE.

Multi-Tier Preservation of Discrete Morse Smale Complexes in Error-Bounded Lossy Compression

Li, Yuxiao; Xia, Mingze; Liang, Xin; Wang, Bei; Guo, Hanqi (2024). "Multi-Tier Preservation of Discrete Morse Smale Complexes in Error-Bounded Lossy Compression." arXiv preprint arXiv:2409.17346.

Teaching

Teaching Assistant

Teaching Assistant

Teaching Assistant

Services & Awards

• ICDE’25 - Student Travel Award
• SC’24 - Student Volunteer
• ICDE’24 - NSF Travel Award
• SC’23 - Student Volunteer

Reviewer/Sub-reviewer

• IEEE Transactions on Parallel and Distributed Systems (TPDS)
• IEEE International Conference on Data Mining (ICDM)

Skills

• C/C++
• Python
• Java
• Spark
• SQL
• Elastic Stack
• Ruby