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Tingwei Ji

dblp:344/9764 · DBLP profile ↗
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4ranked-venue papers
0as first author
4since 2021 · last 2026
0000-0001-7556-6867ORCID · corroborated

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

Artificial intelligence and machine learning · 2 · 2 since 2021Systems, architecture and hardware · 1 · 1 since 2021Computer networks · 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
1 paper
High-performance computing · 67% Performance modeling and evaluation · 33%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational science and engineering · 100%

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

TopicWeightPapersLastEvidence papers
Performance modeling and evaluation › parallel performance evaluation
multicore scalability
0.712023
Toward Exascale Computation for Turbomachinery Flows · SC 2023
High-performance computing
performance optimization at scale
0.712023
Toward Exascale Computation for Turbomachinery Flows · SC 2023
High-performance computing
scientific computing systems
0.712023
Toward Exascale Computation for Turbomachinery Flows · SC 2023
Computational science and engineering › computational fluid dynamics
large eddy simulation
0.212023
Toward Exascale Computation for Turbomachinery Flows · SC 2023

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

high-order unstructured solver · 1.3heterogeneous parallel porting · 1.3
YearPublicationVenuePosition
2026 A Dual-Layer Dynamic Obstacle-Avoidance Path Replanning Framework Based on Transformer for UAV
Chenglou Liu, Fangfang Xie, Tingwei Ji, Yao Zheng 0003
IEEE Internet Things J.4
2025 Human-in-the-loop reinforcement learning for dynamic soaring: A trajectory planning and control integrated system
Yufeng Lu, Fangfang Xie, Tingwei Ji
Eng. Appl. Artif. Intell.3
2023 Toward Exascale Computation for Turbomachinery Flows
abstract
A state-of-the-art large eddy simulation code has been developed to solve compressible flows in turbomachinery. The code has been engineered with a high degree of scalability, enabling it to effectively leverage the many-core architecture of the new Sunway system. A consistent performance of 115.8 DP-PFLOPs has been achieved on a high-pressure turbine cascade consisting of over 1.69 billion mesh elements and 865 billion Degree of Freedoms (DOFs). By leveraging a high-order unstructured solver and its portability to large heterogeneous parallel systems, we have progressed towards solving the grand challenge problem outlined by NASA [1], which involves a time-dependent simulation of a complete engine, incorporating all the aerodynamic and heat transfer components.
Yuhang Fu, Weiqi Shen, Jiahuan Cui, Yao Zheng 0003, Guangwen Yang 0002, Jifa Zhang, Tingwei Ji, Fangfang Xie, Xiaojing Lv, Guocheng Tao, Paul Tucker, Steven A. E. Miller, Shirui Luo, Seid Koric
SC8
2023 Parametric unsteady flow modeling by using meta learning
Xinshuai Zhang, Fangfang Xie, Tingwei Ji, Changdong Zheng, Yao Zheng 0003
Eng. Appl. Artif. Intell.3