Enhao Zhang
Scholar

Enhao Zhang

Google Scholar ID: ja7pDpYAAAAJ
University of Washington
databasesvideo analyticshuman-computer interaction
Citations & Impact
All-time
Citations
117
 
H-index
5
 
i10-index
4
 
Publications
8
 
Co-authors
9
list available
Resume (English only)
Academic Achievements
  • - Publications:
  • - "Optimizing Sequential Multi-Step Tasks with Parallel LLM Agents", MAS@ICML 2025
  • - "Self-Enhancing Video Data Management System for Compositional Events with Large Language Models", SIGMOD 2025
  • - "Bootstrapping Compositional Video Query Synthesis with Natural Language and Previous Queries from Users", HILDA@SIGMOD 2025
  • - "VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building", VLDB 2024
  • - "EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions", VLDB 2023
  • - "EQUI-VOCAL Demonstration: Synthesizing Video Queries from User Interactions", VLDB 2023 Demo Track
  • - "VOCAL: Video Organization and Interactive Compositional AnaLytics", CIDR 2022
  • - "Method for Exploring Generative Adversarial Networks (GANs) via Automatically Generated Image Galleries", CHI 2021
Research Experience
  • - Microsoft Research, AI Frontiers Team, Research Intern, Jun. 2024 - Sept. 2024
  • - Snowflake, SQL Query Language Team, PhD Software Engineer Intern, Jun. 2023 - Sept. 2023
Education
  • - University of Washington, Ph.D. in Computer Science, Sep. 2020 - Present, Advisors: Magdalena Balazinska and Ranjay Krishna
  • - University of Michigan, Bachelor of Science in Engineering in Computer Science, Sept. 2018 - Apr. 2020, GPA: 4.00/4.00, worked with Michael Cafarella and Nikola Banovic
  • - Shanghai Jiao Tong University, Bachelor of Science in Electrical and Computer Engineering, Sept. 2015 - Aug. 2020, GPA: 3.97/4.00
Background
  • - Research Interests: Database Systems, Machine Learning, Human-Computer Interaction
  • - PhD Goal: Build video data management systems that make compositional video queries both easier to specify and more efficient to execute