Yicong Huang
2059 Donald Bren Hall
Irvine, CA 92617
Yicong Huang is a 6th-year Ph.D. candidate at the Information System Group (ISG), Computer Science department, University of California, Irvine. He is set to graduate in June 2025. Guided by Dr. Chen Li, he specializes in big data management, data processing systems, and machine learning systems. He received his B.S. in Computer Science from University of California, Irvine as well.
Yicong’s journey includes vital contributions to the Texera project—an interactive workflow-based big data analytics system, showcasing extensive coding expertise and groundbreaking research. His publications in esteemed database venues such as VLDB and SIGMOD feature standout works like “Udon,” an interactive UDF debugger, and “CORE,” a machine learning acceleration framework for streaming data. His interdisciplinary reach spans venues like TOCHI, PNAS Nexus, JAMIA, AMIA, and PloS ONE.
Beyond academia, Yicong’s expertise is refined through research internships at Bytedance and VISA, contributing to projects like the HTAP database and windowed aggregation operators, leading to system patents and papers. Notably, his leadership skills shine through managing collaborative research projects and mentoring over 40 students. In the dynamic field of computer science, Yicong Huang embodies a unique fusion of academic excellence and leadership.
Education
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2019.09 - 2025.03 Ph.D. of Computer Science
University of California, Irvine
Big data management, data-processing system, machine learning system
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2015.09 - 2019.06
Work
- 2022.06 - 2022.09
Research Intern
VISA Inc.
- Developed real-time window aggregation framework with out-of-order event support.
- Designed space-efficient, versatile list for in-memory raw-event storage.
- Proposed out-of-order handling algorithms, outperforming existing Flink designs.
- 2020.06 - 2020.09
Research Intern
ByteDance Inc.
- Worked on an HTAP database to support instant query on the real-time data.
- Implemented TP (MySQL) metadata to AP (Kudu) schema conversion.
- Integrated lock-free data structure for heap implementation.
news
Oct 29, 2024 | Our paper “DS4ALL: Teaching High-School Students Data Science and {AI/ML} Using the Texera Workflow Platform as a Service” is accepted by Data Science Education K-12: Research to Practice Conference (DSE-K12’25)! |
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Aug 31, 2024 | I attended VLDB 2024 in Guangzhou, China, presenting the research paper for Texera, the system we have been building for the past 8 years! |
Aug 6, 2024 | Our paper “Pasta: A Cost-Based Optimizer for Generating Pipelining Schedules for Dataflow DAGs”, is accepted by SIGMOD 2025! |
Jun 13, 2024 | I attended SIGMOD 2024 in Santiago, Chile, presenting a research paper and a demo for Udon, the line-by-line UDF debugger on big data systems. Our demonstration won the Best Demo Runner Up Award! |
Apr 26, 2024 | I received UCI Graduate Dean’s Dissertation Fellowship for 2024! |
selected publications
- Pasta: A Cost-Based Optimizer for Generating Pipelining Schedules for Dataflow DAGsIn Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), 2025To appear
- Texera: A System for Collaborative and Interactive Data Analytics Using WorkflowsProceedings of the VLDB Endowment (PVLDB), 2024
- Udon: Efficient Debugging of User-Defined Functions in Big Data Systems with Line-by-Line ControlProc. ACM Manag. Data, 2023
- Optimizing Machine Learning Inference Queries with Correlative Proxy ModelsProc. VLDB Endow., 2022