Demo Data from VLDB 2026 / reviewers in the wild / expert
Hanzhen Wang
dblp:417/4388
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0000-1335-2855ORCID · 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.
| Artificial intelligence
1 paper |
Language models and text generation · 62% Efficient and distributed learning · 38% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Language models and text generation › large language model reasoning
long-context reasoning |
1.0 | 1 | 2026 | SpeContext: Enabling Efficient Long-context Reasoning with Speculative Context Sparsity in LLMs · ASPLOS (2) 2026 |
Machine learning › Efficient and distributed learning › model compression › sparsity
contextual sparsity |
0.3 | 1 | 2026 | SpeContext: Enabling Efficient Long-context Reasoning with Speculative Context Sparsity in LLMs · ASPLOS (2) 2026 |
Machine learning › Efficient and distributed learning
inference efficiency |
0.3 | 1 | 2026 | SpeContext: Enabling Efficient Long-context Reasoning with Speculative Context Sparsity in LLMs · ASPLOS (2) 2026 |
Methods — techniques the papers use, named apart from their topics
speculative decoding · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | SpeContext: Enabling Efficient Long-context Reasoning with Speculative Context Sparsity in LLMs
Hanzhen Wang, Jiancai Ye, Yu Wang 0002, Guohao Dai 0001 |
ASPLOS (2) | 3 |