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Yicong Huang

2059 Donald Bren Hall

Irvine, CA 92617

Welcome to my personal website!

I am currently a sixth-year Ph.D. candidate at the Information Systems Group (ISG), Computer Science department, University of California, Irvine. I am advised by Dr. Chen Li and expect to graduate in July 2025. I received my B.S. in Computer Science from University of California, Irvine as well.

My research focuses on big data management, data-processing systems, and machine learning systems. I take a systems-driven approach by co-designing the key components of modern data-intensive pipelines, including workflow engines, UDF debugging frameworks, pipelining optimizers, and machine learning acceleration systems for streaming data. To optimize performance, usability, and scalability, I integrate techniques across data management, distributed systems, program analysis, and machine learning.

I have contributed extensively to the Texera project (Apache Incubating), a collaborative and interactive system for data science and AI/ML using workflows. My research has been published in database venues such as SIGMOD (Udon, Pasta, etc) and VLDB (Texera, IcedTea, CORE, etc), and my interdisciplinary work spans venues including TOCHI, PNAS Nexus, JAMIA, AMIA, and PLOS ONE.

My research was recognized with a SIGMOD 2024 Best Demo Runner-Up Award and has been supported by fellowships including the 2025 Joseph & Dorothy Fischer Memorial Endowed Fellowship, the 2025 Beall Family Foundation Graduate Student Entrepreneur Award in Computer Science, the 2024 Graduate Dean’s Dissertation Fellowship, and the 2023 Public Impact Fellowship.

My expertise has been further shaped through internships at Observe, ByteDance, VISA and Observe. I have also led collaborative research projects and mentored over 50 students across various levels.

Updates:

• 🚀 Thrilled to share that I’ll be joining Databricks in 2025, working on the Apache Spark Runtime team to advance one of the fastest and most scalable data engines in the world!
• 🎓 Looking ahead, in Fall 2027, I’ll transition to the Manning College of Information and Computer Sciences (CICS) at UMass Amherst as a Tenure-Track Assistant Professor!

• Ph.D. of Computer Science University of California, Irvine Big data management, data-processing system, machine learning system

• 2024.06 - 2024.09

  Software Engineer Intern Observe Inc.
  • Contributed to the development of a dataset transformer for log store analytics, especially focusing on window maintenance of live data streams.
  • Investigated the use of Snowflake Time Travel to optimize data partitioning and clustering for transformed datasets.

• 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.

1. DSE-K12

   DS4ALL: Teaching High-School Students Data Science and AI/ML Using the Texera Workflow Platform as a Service

   Jiadong Bai, Xiaozhen Liu, Anthony Cuturrufo, Alexander Kundu Taylor, Jeehyun Hwang, and

   In Data Science Education K-12: Research to Practice Annual Conference, Feb 2025

   To appear

1. IcedTea: Efficient and Responsive Time-Travel Debugging in Dataflow Systems

   Shengquan Ni, Yicong Huang, Zuozhi Wang, and Chen Li

   Proc. VLDB Endow., Feb 2024

2. Pasta: A Cost-Based Optimizer for Generating Pipelining Schedules for Dataflow DAGs

   Xiaozhen Liu, Yicong Huang, Xinyuan Lin, Avinash Kumar, Sadeem Alsudais, and 1 more author

   Proc. ACM Manag. Data, Feb 2024

3. Texera: A System for Collaborative and Interactive Data Analytics Using Workflows

   Zuozhi Wang, Yicong Huang, Shengquan Ni, Avinash Kumar, Sadeem Alsudais, and 4 more authors

   Proc. VLDB Endow., Feb 2024

4. Demonstration of Udon: Line-by-line Debugging of User-Defined Functions in Data Workflows

   Yicong Huang, Zuozhi Wang, and Chen Li

   In Companion of the 2024 International Conference on Management of Data, SIGMOD/PODS 2024, Santiago AA, Chile, June 9-15, 2024, Feb 2024

5. Data Science Tasks Implemented with Scripts versus GUI-Based Workflows: The Good, the Bad, and the Ugly

   Alexander K. Taylor, Yicong Huang, Junheng Hao, Xinyuan Lin, Xiusi Chen, and 2 more authors

   In 40th International Conference on Data Engineering, ICDE 2024 - Workshops, Utrecht, Netherlands, May 13-16, 2024, Feb 2024

6. fncir

   Brain image data processing using collaborative data workflows on Texera

   Yunyan Ding, Yicong Huang, Pan Gao, Andy Thai, Atchuth Naveen Chilaparasetti, and 3 more authors

   Frontiers in Neural Circuits, Feb 2024

1. Udon: Efficient Debugging of User-Defined Functions in Big Data Systems with Line-by-Line Control

   Yicong Huang, Zuozhi Wang, and Chen Li

   Proc. ACM Manag. Data, Feb 2023

2. PNAS Nexus

   Understanding underlying moral values and language use of COVID-19 vaccine attitudes on twitter

   Judith Borghouts, Yicong Huang, Sydney Gibbs, Suellen Hopfer, Chen Li, and 1 more author

   PNAS nexus, Feb 2023

3. Subst. Use Misuse

   The marketing and perceptions of non-tobacco blunt wraps on Twitter

   Joshua Rhee, Yicong Huang, Sadeem Alsudais, Shengquan Ni, Avinash Kumar, and 2 more authors

   Substance Use and Misuse, Feb 2023

4. TOCHI

   Wording Matters: the Effect of Linguistic Characteristics and Political Ideology on Resharing of COVID-19 Vaccine Tweets

   Judith Borghouts, Yicong Huang, Suellen Hopfer, Chen Li, and Gloria Mark

   Transactions on Computer-Human Interaction, Feb 2023

1. Demonstration of Collaborative and Interactive Workflow-Based Data Analytics in Texera

   Xiaozhen Liu, Zuozhi Wang, Shengquan Ni, Sadeem Alsudais, Yicong Huang, and 2 more authors

   Proc. VLDB Endow., Feb 2022

2. Optimizing Machine Learning Inference Queries with Correlative Proxy Models

   Zhihui Yang, Zuozhi Wang, Yicong Huang, Yao Lu, Chen Li, and 1 more author

   Proc. VLDB Endow., Feb 2022

3. Demonstration of Accelerating Machine Learning Inference Queries with Correlative Proxy Models

   Zhihui Yang, Yicong Huang, Zuozhi Wang, Feng Gao, Yao Lu, and 2 more authors

   Proc. VLDB Endow., Feb 2022

4. arXiv

   Reshape: Adaptive Result-aware Skew Handling for Exploratory Analysis on Big Data

   Avinash Kumar, Sadeem Alsudais, Shengquan Ni, Zuozhi Wang, Yicong Huang, and 1 more author

   CoRR, Feb 2022

5. AMIA

   Public Opinions toward COVID-19 Vaccine Mandates: A Machine Learning-based Analysis of U.S. Tweets

   Yawen Guo, Jun Zhu, Yicong Huang, Lu He, Changyang He, and 2 more authors

   In AMIA 2022, American Medical Informatics Association Annual Symposium, Washington, DC, USA, November 5-9, 2022, Feb 2022

6. MED ONCOL

   c-myc-mediated upregulation of NAT10 facilitates tumor development via cell cycle regulation in non-small cell lung cancer

   Zimu Wang, Yicong Huang, Wanjun Lu, Jiaxin Liu, Xinying Li, and 3 more authors

   Medical Oncology, Feb 2022

1. JAMIA

   Why do people oppose mask wearing? A comprehensive analysis of U.S. tweets during the COVID-19 pandemic

   Lu He, Changyang He, Tera L. Reynolds, Qiushi Bai, Yicong Huang, and 3 more authors

   J. Am. Medical Informatics Assoc., Feb 2021

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