معرفی
Dixin Tang is an Assistant Professor at the University of Texas at Austin Department of Computer Science. He previously served as a postdoc scholar at UC Berkeley under Prof. Aditya Parameswaran and earned his Ph.D. from the University of Chicago CS department under Prof. Aaron Elmore.
- Current research focuses on vector databases, large-scale unstructured data analysis, and data systems leveraging CXL memory technology.
- Key contributions include systems like Tigon (distributed CXL pod databases) and Pasha (scalable CXL pod architecture).
His work emphasizes user-centered data systems, with projects like FormS (spreadsheet-to-SQL translation), Smash (string distance metrics), and Lux (visualization recommendations) demonstrating cross-decade innovation.
Recent publications (2025) highlight trends in:
- CXL memory-optimized data architectures
- Homomorphism-based query frameworks
- Scalable unstructured data processing
Scientific recognition includes:
- VLDB 2023 Best of Special Issue
- ICDE 2021 Short Paper Award
Teaching roles include:
- CS 395T: Database Systems and LLMs (Fall 2025)
- CS 347: Data Management (Fall 2024)
- CS 395T: Advanced Query Optimizations (Spring 2024)
Affiliated with the UT Data Systems research group, collaborating with Profs. Witchel and Chidambaram on CXL memory projects.
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