• Publications
  • Influence
The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST)
The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST, also called the Guo Shou Jing Telescope) is a special reflecting Schmidt telescope. LAMOST’s special design allows both a largeExpand
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Power Requirements of Hemp Cutting and Conditioning
Abstract Laboratory experiments were conducted on cutting hemp ( Cannabis sativa L .) using a sickle knife section and a countershear to determine the mechanical properties of the stems. The resultsExpand
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Beta-Expansion: A Theoretical Framework for Fast and Recursive Construction of Polar Codes
TLDR
We introduce β-expansion, a notion borrowed from number theory, as a theoretical framework to study fast construction of polar codes based on a recursive structure of universal partial order (UPO) and polarization weight algorithm. Expand
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MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?
TLDR
Binary Neural Networks (BNNs) are neural networks which use binary weights and activations instead of the typical 32-bit floating point values. Expand
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Efficient, adaptive energy stable schemes for the incompressible Cahn-Hilliard Navier-Stokes phase-field models
  • Y. Chen, J. Shen
  • Mathematics, Computer Science
  • J. Comput. Phys.
  • 1 March 2016
TLDR
In this paper we develop a fully adaptive energy stable scheme for Cahn-Hilliard Navier-Stokes system, which is a phase-field model for two-phase incompressible flows, including adaptive mesh, adaptive time and a nonlinear multigrid finite difference method. Expand
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Characterization of SRAM sense amplifier input offset for yield prediction in 28nm CMOS
TLDR
A process control monitor for SRAM SA offset is proposed and implemented in 28nm LP CMOS technology. Expand
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Single Image Super Resolution based on a Modified U-net with Mixed Gradient Loss
TLDR
An improved U-net with a mixed gradient loss is proposed for SISR. Expand
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NAMSG: An Efficient Method For Training Neural Networks
TLDR
We introduce NAMSG, an adaptive first-order algorithm for training neural networks. Expand
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TOFFEE: Task Offloading and Frequency Scaling for Energy Efficiency of Mobile Devices in Mobile Edge Computing
TLDR
An online Task Offloading and Frequency Scaling for Energy Efficiency (TOFFEE) algorithm is proposed to obtain optimal solutions of these subproblems concurrently. Expand
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Score level fusion scheme based on adaptive local Gabor features for face-iris-fingerprint multimodal biometric
TLDR
We have introduced a fusion scheme to gain a better understanding and fusion method for a face-iris-fingerprint multimodal biometric system. Expand
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