M
Mingwei Chen
Researcher at Johns Hopkins University
Publications - 1108
Citations - 63568
Mingwei Chen is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Medicine & Chemistry. The author has an hindex of 108, co-authored 536 publications receiving 51351 citations. Previous affiliations of Mingwei Chen include National Taiwan University & Chiba University.
Papers
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Proceedings ArticleDOI
Experimental Assessments of a AWGR Based Optical Switching Network for Distributed Reinforcement Learning Training
Yuanzhi Guo,Xuwei Xue,B. Guo,Daohang Dang,Yi Fan. Zhao,Rui Ding,Jiapeng Zhao,Hangang Zhang,Mingwei Chen,Chenhui Li,Shanguo Huang +10 more
TL;DR: In this paper , an arrayed waveguide grating router based all-optical switching network is proposed to accelerate the communication phase of distributed reinforcement learning training, and experimental investigations validate 465ns worker-to-server latency with error-free communication at 0.9 traffic load.
Proceedings ArticleDOI
Interfacial Delamination Characterization and Thermo-mechanical Reliability of Stacked Die Package by Finite Element Analysis
TL;DR: In this article , the delamination characteristics of the interface between the DAF and the chip as well as the thermal stability of the package are studied by three-dimensional (3D) finite element analysis via virtual crack closure technique.
Journal ArticleDOI
Microstructure, thermophysical properties and oxidation resistance of SiCf/SiC–YSi2–Si composite fabricated through reactive melt infiltration
TL;DR: In this article , a high-densification SiCf/SiC-YSi2-Si composite was prepared through combining PIP with RMI of Si−13 at% Y alloy to achieve enhanced performance at high temperatures.
Journal ArticleDOI
Rapid Homogeneous Acylation of Cellulose in a CO2 Switchable Solvent by Microwave Heating
TL;DR: In this article , rapid homogeneous acylation of cellulose is achieved in a novel CO2 switchable solvent system by using microwave heating, and it takes only 10 min to produce cellulose esters with a high degree of substitution higher than 2.20 under microwave heating.
Proceedings ArticleDOI
Visual odometry based on camera motion and bidirectional long short-term memory network
TL;DR: A monocular visual odometry method that combines the camera's own motion estimation and a bidirectional long-short-term memory network is proposed that can estimate the pose with higher accuracy and more accurate six-degree-of-freedom camera pose information can be obtained.