activity
20232026
collaborators

6 papers

cs.RO2026

TimelyDAgger: Timing-Aware Expert Querying for VLA Policy Improvement

Zhixuan Zhao, Peiyan Li, Enhao Zhang +10

DAgger improves robot policies by aggregating expert supervision from states visited during policy execution. Robot-gated DAgger automates expert queries, allowing the robot to dec…

cs.DB2025

KathDB: Explainable Multimodal Database Management System with Human-AI Collaboration

Guorui Xiao, Enhao Zhang, Nicole Sullivan +2

Traditional DBMSs execute user- or application-provided SQL queries over relational data with strong semantic guarantees and advanced query optimization, but writing complex SQL is…

cs.MA2025

Optimizing Sequential Multi-Step Tasks with Parallel LLM Agents

Enhao Zhang, Erkang Zhu, Gagan Bansal +3

Large language model (LLM)-based multi-agent systems have demonstrated remarkable promise for tackling complex tasks by breaking them down into subtasks that are iteratively planne…

cs.DB2024

Self-Enhancing Video Data Management System for Compositional Events with Large Language Models [Technical Report]

Enhao Zhang, Nicole Sullivan, Brandon Haynes +2

Complex video queries can be answered by decomposing them into modular subtasks. However, existing video data management systems assume the existence of predefined modules for each…

cs.DB2023

VOCALExplore: Pay-as-You-Go Video Data Exploration and Model Building [Technical Report]

Maureen Daum, Enhao Zhang, Dong He +4

We introduce VOCALExplore, a system designed to support users in building domain-specific models over video datasets. VOCALExplore supports interactive labeling sessions and trains…

cs.DB2023

EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions [Technical Report]

Enhao Zhang, Maureen Daum, Dong He +3

We introduce EQUI-VOCAL: a new system that automatically synthesizes queries over videos from limited user interactions. The user only provides a handful of positive and negative e…