CV
Summary
Ph.D. candidate in Computer Science at the University of Kentucky. Research focuses on high-performance computing, scientific data management and reduction, and deep learning for scientific data compression.
Education
- Ph.D. in Computer Science2026University of Kentucky
- M.S. in Civil Engineering2021Missouri University of Science and Technology
- M.Eng. in Structural EngineeringInstitute of Engineering Mechanics, China Earthquake Administration
- B.Eng. in Civil EngineeringXi'an Jiaotong University
Work Experience
- Research Assistant2022-08-01 - 2024-12-01University of KentuckyResearch in HPC and error-controlled lossy compression (QoI preservation, adaptive quantization).
- Publications at VLDB, IPDPS, and HiPC
- Collaborated with Argonne National Laboratory
- Developed QoI-preserving compression frameworks
- Teaching Assistant2025-01-01University of KentuckyTeaching Assistant for CS216: Intro to Software Engineering Techniques.
- Led lab sessions and office hours
- Received "Excellent" TA ratings; student evaluations 4.1–4.4/5
- Research Assistant, Computer Science Department2022-01-01 - 2022-07-31Missouri University of Science and TechnologyDeveloped QoI compression algorithms based on SZ3 and benchmarking tools.
- Research Assistant, Civil Engineering Department2019-09-01 - 2021-12-31Missouri University of Science and TechnologyCFD analysis of UAV ceiling effects; bridge inspection and data processing; seismic modeling with OpenSees.
Skills
Programming Languages
- C++
- Python
- JavaScript
- SQL
- R
- MATLAB
High-Performance Computing
- MPI
- OpenMP
- CUDA
- Parallel algorithms
- Scientific computing
Build Systems & Tools
- CMake
- Spack
- Git
- Linux/Unix
Data Science & Analysis
- NumPy
- Pandas
- SciPy
- Matplotlib
- scikit-learn
Databases
- MongoDB
- MySQL
- SQLite
Compression Technologies
- SZ2.1
- SZ3
- SZx
- FPZIP
- ZFP
- Lossy compression algorithms
Simulation Software
- OpenSees
- CFD
- ANSYS
- Structural analysis tools
Research Methodologies
- Algorithm design
- Performance optimization
- Artifact detection
- Experimental validation
Publications
- QPET: A Versatile and Portable Quantity-of-Interest-Preservation Framework for Error-Bounded Lossy Compression2025
- Improving the Efficiency of Interpolation-Based Scientific Data Compressors with Adaptive Quantization Index Prediction20252025 IEEE International Parallel and Distributed Processing Symposium (IPDPS)To appear.
- Characterization and Detection of Artifacts for Error-Controlled Lossy Compressors2023HiPC 2023Detecting and characterizing artifacts introduced by error-controlled lossy compressors.
- Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data2022Proceedings of the VLDB EndowmentQoI-preserving lossy compression for scientific data.
- Enabling Efficient Error-controlled Lossy Compression for Unstructured Scientific Data20252025 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
- TspSZ: An Efficient Parallel Error-Bounded Lossy Compressor for Topological Skeleton Preservation20252025 IEEE 41st International Conference on Data Engineering (ICDE)
- Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points20242024 IEEE 40th International Conference on Data Engineering (ICDE)
- Coating Condition Detection and Assessment on the Steel Girder of a Bridge through Hyperspectral Imaging2023Coatings
- A neural network-based multivariate seismic classifier for simultaneous post-earthquake fragility estimation and damage classification2022Engineering Structures
- Encoding time-series ground motions as images for convolutional neural networks-based seismic damage evaluation2021Frontiers in Built Environment
Teaching
- CS216: Intro to Software Engineering Techniques2025University of KentuckyRole: Teaching AssistantLed lab sessions; office hours; highly rated TA.
Languages
- EnglishFluent
- ChineseNative
Interests
- High-performance computing
- Scientific data compression
- UAV technology
- Structural engineering