activity
20192026
most citedVamsa: Automated Provenance Tracking in Data Science Scripts

48 citations · 145 across the 12 of their papers we have counts for

collaborators

14 papers

cs.AI2026

Towards an AI Software Factory for Data Systems

Anna Pavlenko, Bogdan Crivat, Brandon Haynes +23

AI-assisted coding tools deliver significant acceleration of coding, but only limited impact across the end-to-end software development lifecycle (SDLC)--an Amdahl's law effect! In…

cs.AI2026

GraphMind: From Operational Traces to Self-Evolving Workflow Automation

Yiwen Zhu, Joyce Cahoon, Anna Pavlenko +13

Complex operational workflows coordinating personnel, tools, and information are central to system operations, yet end-to-end automation remains challenging due to extensive human…

cs.IR2025

FLAIR: Feedback Learning for Adaptive Information Retrieval

William Zhang, Yiwen Zhu, Yunlei Lu +7

Recent advances in Large Language Models (LLMs) have driven the adoption of copilots in complex technical scenarios, underscoring the growing need for specialized information retri…

cs.SE2024★ 1 cited

ENCO: Life-Cycle Management of Enterprise-Grade Copilots

Yiwen Zhu, Mathieu Demarne, Kai Deng +12

Software engineers frequently grapple with the challenge of accessing disparate documentation and telemetry data, including TroubleShooting Guides (TSGs), incident reports, code re…

cs.DB2024★ 3 cited

Intelligent Pooling: Proactive Resource Provisioning in Large-scale Cloud Service

Deepak Ravikumar, Alex Yeo, Yiwen Zhu +11

The proliferation of big data and analytic workloads has driven the need for cloud compute and cluster-based job processing. With Apache Spark, users can process terabytes of data…

cs.DB2024

Lorentz: Learned SKU Recommendation Using Profile Data

Nicholas Glaze, Tria McNeely, Yiwen Zhu +4

Cloud operators have expanded their service offerings, known as Stock Keeping Units (SKUs), to accommodate diverse demands, resulting in increased complexity for customers to selec…