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researcher

Sheng Wang

15 papers hereh-index 576 citations25 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author13
  • last author1

Across the 14 of 15 papers where every author was matched, so the position is known.

fields
  • cs.DB7
  • cs.LG6
  • cs.AI1
  • cs.IR1
same name
  • Sheng Wang — 24 papers, h 16
  • Sheng Wang — 20 papers, h 8
  • Sheng Wang — 18 papers, h 11
  • Sheng Wang — 13 papers, h 28
  • Sheng Wang — 11 papers, h 9
  • Sheng Wang — 10 papers, h 13

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedDependency Relationships-Enhanced Attentive Group Recommendation in HINs

1 citations · 1 across the 14 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.AI2026

CacheBridge: Efficient Cross-Model KV Cache Transfer

Xingyu Qu, Siyuan Lu, Zhiyu Chen +2

Sharing context between LLMs in a multi-model system requires the receiving model to prefill the shared prefix because KV caches are model-specific. Recent closed-form cross-model…

cs.DB2026

GRBench: A Comprehensive Benchmark Evaluation for Graph-relational Data Management

Zepeng Liu, Xinxin Huang, Xuanming Liu +2

Modern data-intensive applications increasingly require database systems to manage structured records and graph data. This demand gives rise to graph-relational data management, sp…

cs.LG2026

HAServe: Horizon-Aware Scheduling and Memory Co-Design for Efficient LLM Serving

Xingyu Qu, Tianhao Lin, Yiqi Li +2

Online large language model (LLM) services process requests that share context but differ in prefix structure and arrival timing. Finite capacity couples request admission and key-…

cs.DB2026

Graph-centric Cross-model Data Integration and Analytics in a Unified Multi-model Database

Zepeng Liu, Sheng Wang, Shixun Huang +6

Graph-centric cross-model data integration and analytics (GCDIA) refer to tasks that leverage the graph model as a central paradigm to integrate relevant information across heterog…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.