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Libin Lu

dblp:204/3333 · DBLP profile ↗
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2ranked-venue papers
1as first author
1since 2021 · last 2026
0000-0003-0745-9431ORCID · reported

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

Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 first-author

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
High-performance computing · 87% Parallel and multicore computing · 13%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › computational biophysics
biophysical simulation
0.412019
Scalable simulation of realistic volume fraction red blood cell flows through vascular networks · SC 2019
High-performance computing › scientific computing systems › computational fluid dynamics
blood flow simulation
0.412019
Scalable simulation of realistic volume fraction red blood cell flows through vascular networks · SC 2019
High-performance computing
scientific computing systems
0.412019
Scalable simulation of realistic volume fraction red blood cell flows through vascular networks · SC 2019
Parallel and multicore computing
parallel algorithms
0.112019
Scalable simulation of realistic volume fraction red blood cell flows through vascular networks · SC 2019

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

parallel collision avoidance · 0.8boundary integral equation · 0.8
YearPublicationVenuePosition
2026 WaveNet-SF: A hybrid network for retinal disease detection based on wavelet transform in spatial-frequency domain
Jilan Cheng, Guoli Long, Zhenjia Qi, Libin Lu, Shuihua Wang, Yudong Zhang 0001
Neural Networks6
2019 Scalable simulation of realistic volume fraction red blood cell flows through vascular networks
abstract
High-resolution blood flow simulations have potential for developing better understanding biophysical phenomena at the microscale, such as vasodilation, vasoconstriction and overall vascular resistance. To this end, we present a scalable platform for the simulation of red blood cell (RBC) flows through complex capillaries by modeling the physical system as a viscous fluid with immersed deformable particles. We describe a parallel boundary integral equation solver for general elliptic partial differential equations, which we apply to Stokes flow through blood vessels. We also detail a parallel collision avoiding algorithm to ensure RBCs and the blood vessel remain contact-free. We have scaled our code on Stampede2 at the Texas Advanced Computing Center up to 34,816 cores. Our largest simulation enforces a contact-free state between four billion surface elements and solves for three billion degrees of freedom on one million RBCs and a blood vessel composed from two million patches.
Libin Lu, Matthew J. Morse, Abtin Rahimian, Georg Stadler, Denis Zorin
SC1