H
Hang Liu
Researcher at Stevens Institute of Technology
Publications - 89
Citations - 2034
Hang Liu is an academic researcher from Stevens Institute of Technology. The author has contributed to research in topics: Computer science & Deep learning. The author has an hindex of 18, co-authored 78 publications receiving 1351 citations. Previous affiliations of Hang Liu include University of Massachusetts Lowell & National Research Council.
Papers
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Journal ArticleDOI
Quantum cascade lasers: ultrahigh-speed operation, optical wireless communication, narrow linewidth, and far-infrared emission
Federico Capasso,Roberto Paiella,Rainer Martini,Raffaele Colombelli,Claire F. Gmachl,Tanya L. Myers,Matthew S. Taubman,Richard M. Williams,Clyde G. Bethea,Karl Unterrainer,Harold Y. Hwang,Deborah L. Sivco,A.Y. Cho,A.M. Sergent,Hang Liu,Edward A. Whittaker +15 more
TL;DR: In this article, the authors provide a comprehensive review of recent developments that will likely enable important advances in areas such as optical communications, ultra-high resolution spectroscopy and applications to ultrahigh sensitivity gas-sensing systems.
Proceedings ArticleDOI
Enterprise: breadth-first graph traversal on GPUs
Hang Liu,H. Howie Huang +1 more
TL;DR: Enterprise is presented, a new GPU-based BFS system that combines three techniques to remove potential performance bottlenecks and is optimized for both top-down and bottom-up BFS.
Journal ArticleDOI
Computational modeling of cardiac hemodynamics
Rajat Mittal,Jung Hee Seo,Vijay Vedula,Young Joon Choi,Hang Liu,H. Howie Huang,Saurabh Jain,Laurent Younes,Theodore P. Abraham,Richard T. George +9 more
TL;DR: The current status of computational modeling of cardiac hemodynamics as well as the emerging trends and challenges in cardiovascular health, computing, modeling and simulation and that are expected to play a key role in its future development are reviewed.
Journal ArticleDOI
High-frequency modulation without the relaxation oscillation resonance in quantum cascade lasers
Roberto Paiella,Rainer Martini,Federico Capasso,Claire F. Gmachl,Harold Y. Hwang,Deborah L. Sivco,James N. Baillargeon,Alfred Y. Cho,Edward A. Whittaker,Hang Liu +9 more
TL;DR: In this article, the authors discuss and experimentally verify this prediction by measuring the modulation response of several 8-μm-QC lasers, properly processed and packaged for high-speed operation, up to 10 GHz.
Proceedings ArticleDOI
CECI: Compact Embedding Cluster Index for Scalable Subgraph Matching
TL;DR: A novel framework for subgraph listing based on Compact Embedding Cluster Index (\idx), which divides the data graph into multiple embedding clusters for parallel processing, which outperforms state-of-the-art solutions on average.