VLDB 2026 Research / reviewers in the wild / expert
Adrian Chiu
dblp:189/0054
· DBLP profile ↗
4ranked-venue papers
0as first author
3since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2 · 2 since 2021Software engineering, systems software and programming languages · 2 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Software engineering, system software, and programming languages
4 papers |
Runtime systems and virtual machines · 33% Debugging and program repair · 26% Operating systems · 26% | |
| Computer architecture, parallel and distributed computing, and storage systems
3 papers |
Cloud and datacenter computing · 58% Distributed systems · 38% Parallel and multicore computing · 4% |
Topics — the 8 heaviest of 11, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Debugging and program repair
performance debugging |
0.7 | 1 | 2023 | Relational Debugging - Pinpointing Root Causes of Performance Problems · OSDI 2023 |
Distributed systems
root cause analysis |
0.7 | 1 | 2023 | Relational Debugging - Pinpointing Root Causes of Performance Problems · OSDI 2023 |
Runtime systems and virtual machines
managed runtime |
0.6 | 1 | 2022 | Investigating Managed Language Runtime Performance: Why JavaScript and Python are 8x and 29x slower than C++, yet Java and Go can be Faster? · USENIX ATC 2022 |
Operating systems › resource management
memory management |
0.5 | 1 | 2021 | M3: end-to-end memory management in elastic system software stacks · EuroSys 2021 |
Cloud and datacenter computing
cluster resource management and scheduling |
0.5 | 1 | 2021 | M3: end-to-end memory management in elastic system software stacks · EuroSys 2021 |
Cloud and datacenter computing › resource allocation › hardware resource assignment
memory resource allocation |
0.5 | 1 | 2021 | M3: end-to-end memory management in elastic system software stacks · EuroSys 2021 |
Programming languages and type systems
language implementation |
0.2 | 1 | 2022 | Investigating Managed Language Runtime Performance: Why JavaScript and Python are 8x and 29x slower than C++, yet Java and Go can be Faster? · USENIX ATC 2022 |
Parallel and multicore computing › data parallelism
data-parallel systems |
0.1 | 1 | 2016 | Don't Get Caught in the Cold, Warm-up Your JVM: Understand and Eliminate JVM Warm-up Overhead in Data-Parallel Systems · OSDI 2016 |
Methods — techniques the papers use, named apart from their topics
dynamic memory distribution · 1.0workload characterization · 0.6performance benchmarking · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Relational Debugging - Pinpointing Root Causes of Performance Problems
Xiang Ren 0003, Sitao Wang, Zhuqi Jin, David Lion, Adrian Chiu, Tianyin Xu, Ding Yuan 0004 |
OSDI | 5 |
| 2022 | Investigating Managed Language Runtime Performance: Why JavaScript and Python are 8x and 29x slower than C++, yet Java and Go can be Faster?
David Lion, Adrian Chiu, Michael Stumm, Ding Yuan 0004 |
USENIX ATC | 2 |
| 2021 | M3: end-to-end memory management in elastic system software stacksabstractThis paper proposes M3, an end-to-end system that dynamically distributes memory resources among competing applications to maximize their overall performance. Today's data center workloads, can adapt to a wide range of memory sizes, and they are built on complex software stacks. David Lion, Adrian Chiu, Ding Yuan 0004 |
EuroSys | 2 |
| 2016 | Don't Get Caught in the Cold, Warm-up Your JVM: Understand and Eliminate JVM Warm-up Overhead in Data-Parallel Systems
David Lion, Adrian Chiu, Hailong Sun 0001, Xin Zhuang, Nikola Grcevski, Ding Yuan 0004 |
OSDI | 2 |