About Me
My name is Chenghao Lyu. I am a researcher and engineer interested in databases, big data analytics systems, machine learning and multi-objective optimization.
I earned my Ph.D. in computer science from UMass Amherst, advised by Prof. Yanlei Diao and Prof. Prashant Shenoy. Before joining UMass Amherst, I obtained my BS in EE and MS in CS from Fudan University, where I was advised by Prof. X. Sean Wang. During my Ph.D., I also worked as a scientific collaborator in CEDAR team at Ecole Polytechnique in France for 2.5 years.
My research lies in the intersection of big data analytics systems, machine learning, and multi-objective optimization, with a focus on designing optimizers to auto-configure parameters for large-scale systems to achieve improved performance and cost reduction.
Email: {first-name}@cs.umass.edu
- Adaptive Query Execution and Optimization
- Big Data Analytics Systems
- Machine Learning
- Multi-objective Optimizations
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Ms/PhD in Computer Science, 2018 - 2025.1
UMass Amherst, MA, USA
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MSc in Electronic Engineering, 2018
Fudan University, Shanghai, China
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BSc in Electronic Engineering, 2015
Fudan University, Shanghai, China
News
[2025.01] I am joining Learned Systems Group at Amazon as an applied scientist.
[2025.01] I successfully defended my PhD! Many thanks to my committee members—Yanlei Diao, Prashant Shenoy, Peter Haas, and David Irwin—for their invaluable support.
[2025.01] I received the Dr. Phil Bernstein Graduate Scholarship in Computer Science.
[2024.06] Our paper “A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning” was accepted to VLDB 2024!
[2024.03] I was back to Amherst and defensed my thesis proposal.
[2023.12] We released UDAO, the unified data analytics optimizer, to public and PyPI. Try “pip install udao”.
[2023.10] I reported my on-going work “An Adaptive, Multi-Resolution, and Multi-Objective Parameter Tuning Approach for Spark SQL” in the ERC BigFastData Workshop.
[2023.05] We released our Spark-TPCH dataset and the MOO framework (where I contribute the internal solver) in our UDAO project, a Uniformed Data Analytics Optimizer.
[2022.07] Our paper with Alibaba Cloud on “Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing” was accepted to VLDB 2022!
[2021.10] I started working as a scientific collaborator in the CEDAR project-team of Inria and LIX, at Ecole Polytechnique. Bonjour!
[2020.10] Our paper “Spark-based Cloud Data Analytics using Multi-Objective Optimization” was accepted to ICDE 2021!
[2020.02] I started my internship at Alibaba DAMO Academy.
Publications
Experience
