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Siheng Pan

dblp:440/1803 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2026
—ORCID · none

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

Computer networks · 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 · 33% Parallel and multicore computing · 33% GPUs and heterogeneous computing · 33%
Databases, data mining, and information retrieval
1 paper
Recommender systems · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Parallel and multicore computing › parallelization strategies
fine-grained parallelism
1.012026
RecFlow: Unlocking GPU Efficiency for DLRM Inference via Fine-Grained Parallelism and Incremental Batching · INFOCOM 2026
Hardware accelerators and domain-specific architectures
machine learning accelerator
1.012026
RecFlow: Unlocking GPU Efficiency for DLRM Inference via Fine-Grained Parallelism and Incremental Batching · INFOCOM 2026
Recommender systems
DLRM inference
0.312026
RecFlow: Unlocking GPU Efficiency for DLRM Inference via Fine-Grained Parallelism and Incremental Batching · INFOCOM 2026

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

incremental batching · 2.0fine-grained parallelism · 2.0
YearPublicationVenuePosition
2026 RecFlow: Unlocking GPU Efficiency for DLRM Inference via Fine-Grained Parallelism and Incremental Batching
Siheng Pan, Shaolong Li, Minwei Zhang, Shuxi Guo, Haifeng Sun 0001, Qi Qi 0001, Zirui Zhuang, Jianxin Liao, Jing Wang 0039
INFOCOM1