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Demo Data from VLDB 2026 / reviewers in the wild / expert

Yuansen Wang

dblp:433/2875 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2026
0009-0008-7119-6801ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021Databases, data management, data science and information retrieval · 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
2 papers
Hardware accelerators and domain-specific architectures · 63% Memory systems · 28% Processor architecture and microarchitecture · 10%
Databases, data mining, and information retrieval
1 paper
Indexing and storage engines · 77% Distributed and cloud data management · 23%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Hardware accelerators and domain-specific architectures › spatial architecture
data streaming accelerator		 1.012026
LightDSA: Enabling Efficient DSA Through Hardware-Aware Transparent Optimization · EuroSys 2026
Hardware accelerators and domain-specific architectures
hardware-aware optimization		 1.012026
LightDSA: Enabling Efficient DSA Through Hardware-Aware Transparent Optimization · EuroSys 2026
Indexing and storage engines
hash index		 0.912025
Shard: A Scalable and Resize-optimized Hash Index on Disaggregated Memory · Proc. VLDB Endow. 2025
Memory systems
memory disaggregation		 0.912025
Shard: A Scalable and Resize-optimized Hash Index on Disaggregated Memory · Proc. VLDB Endow. 2025
Distributed and cloud data management › large-scale data management
scalable indexing		 0.312025
Shard: A Scalable and Resize-optimized Hash Index on Disaggregated Memory · Proc. VLDB Endow. 2025

Methods — techniques the papers use, named apart from their topics

sharding · 1.7resize optimization · 1.7transparent optimization · 1.0
YearPublicationVenuePosition
2026 LightDSA: Enabling Efficient DSA Through Hardware-Aware Transparent Optimization
abstract
Data streaming operations consume a significant portion of CPU resources in data centers. The Data Streaming Accelerator (DSA), integrated into modern Intel CPUs in datacenter, offers promising acceleration for these operations with user-friendly features. However, previous studies have overlooked DSA's internal mechanisms and the performance implications of these features, leaving key performance issues unresolved in real-world usage.
Yuansen Wang, Teng Ma 0006, Yuanhui Luo, Dongbiao He, Zheng Liu 0022, Yunpeng Chai
 EuroSys1
2025 Shard: A Scalable and Resize-optimized Hash Index on Disaggregated Memory
Hantian Zha, Teng Ma 0006, Baotong Lu, Yuansen Wang, Dongbiao He, Yuanhui Luo, Yunpeng Chai, Yuxing Chen 0003, Anqun Pan
 Proc. VLDB Endow.4