Demo Data from SIGIR 2026 / reviewers in the wild / expert
Chales Hong
dblp:429/1978
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0009-7698-2227ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 since 2021Software engineering, systems software and programming languages · 1 · 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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Parallel and multicore computing · 77% Cloud and datacenter computing · 23% | |
| Databases, data mining, and information retrieval
1 paper |
Data integration and cleaning · 100% | |
| Software engineering, system software, and programming languages
1 paper |
Compilers and program optimization · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Compilers and program optimization
parallelizing compiler |
1.0 | 1 | 2026 | SpecProto: A Parallelizing Compiler for Speculative Decoding of Large Protocol Buffers Data · ASPLOS (2) 2026 |
Parallel and multicore computing › parallel algorithms › parallel string algorithms
parallel parsing |
1.0 | 1 | 2026 | SpecProto: A Parallelizing Compiler for Speculative Decoding of Large Protocol Buffers Data · ASPLOS (2) 2026 |
Cloud and datacenter computing › cloud data management
cloud data processing |
0.3 | 1 | 2026 | SpecProto: A Parallelizing Compiler for Speculative Decoding of Large Protocol Buffers Data · ASPLOS (2) 2026 |
Methods — techniques the papers use, named apart from their topics
speculative decoding · 3.0parallel parsing · 3.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | SpecProto: A Parallelizing Compiler for Speculative Decoding of Large Protocol Buffers DataabstractProtobuf is a widely used data serialization format, especially in cloud environments. However, existing compilers generate only serial decoders, limiting scalability for large datasets. While parallel parsing has been studied for textual formats (e.g., XML), parallel decoding of binary formats like Protobuf remains unexplored, which present unique opportunities. Chales Hong, Dhruv Parmar, Zhijia Zhao 0001, Qidong Zhao, Xu Liu 0001 |
ASPLOS (2) | 2 |