Demo Data from VLDB 2026 / reviewers in the wild / expert
Xingran Du
dblp:425/4794
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0005-4709-5822ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 first-author · 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 |
Hardware accelerators and domain-specific architectures · 67% Reconfigurable computing and FPGAs · 33% | |
| Network and information security
1 paper |
Network security · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Reconfigurable computing and FPGAs
automata processing |
0.9 | 1 | 2025 | Hopps: Leveraging Sparsity to Accelerate Automata Processing · ASPLOS (3) 2025 |
Hardware accelerators and domain-specific architectures › pattern matching accelerator
automata processor |
0.9 | 1 | 2025 | Hopps: Leveraging Sparsity to Accelerate Automata Processing · ASPLOS (3) 2025 |
Hardware accelerators and domain-specific architectures
sparsity exploitation |
0.9 | 1 | 2025 | Hopps: Leveraging Sparsity to Accelerate Automata Processing · ASPLOS (3) 2025 |
Network security › intrusion detection and prevention
intrusion detection |
0.3 | 1 | 2025 | Hopps: Leveraging Sparsity to Accelerate Automata Processing · ASPLOS (3) 2025 |
Network security › intrusion detection and prevention › intrusion detection
pattern matching |
0.3 | 1 | 2025 | Hopps: Leveraging Sparsity to Accelerate Automata Processing · ASPLOS (3) 2025 |
Methods — techniques the papers use, named apart from their topics
sparsity · 1.7finite state machine · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Hopps: Leveraging Sparsity to Accelerate Automata ProcessingabstractAutomata processing (AP) is a key kernel in data analytics and scientific computing. AP workloads process a stream of symbols with many automata (FSMs) in parallel, e.g., pattern-matching network traffic against many malicious strings. Xingran Du, Joel S. Emer, Daniel Sánchez 0003 |
ASPLOS (3) | 1 |