• Publications
  • Influence
Training and Inference with Integers in Deep Neural Networks
Researches on deep neural networks with discrete parameters and their deployment in embedded systems have been active and promising topics. Although previous works have successfully reduced precisionExpand
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Multimodal feature fusion for robust event detection in web videos
Combining multiple low-level visual features is a proven and effective strategy for a range of computer vision tasks. However, limited attention has been paid to combining such features withExpand
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Zero-Shot Event Detection Using Multi-modal Fusion of Weakly Supervised Concepts
Current state-of-the-art systems for visual content analysis require large training sets for each class of interest, and performance degrades rapidly with fewer examples. In this paper, we present aExpand
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Security Analysis of PRINCE
In this article, we provide the first third-party security analysis of the PRINCE lightweight block cipher, and the underlying \(\mathtt{PRINCE}_{core}\). First, while no claim was made by theExpand
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Cryptanalysis of Round-Reduced LED
In this paper we present known-plaintext single-key and chosen-key attacks on round-reduced LED-64 and LED-128. We show that with an application of the recently proposed slidex attacks (5), one imme-Expand
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Evidence of a gate-tunable Mott insulator in a trilayer graphene moiré superlattice
The Mott insulator is a central concept in strongly correlated physics and manifests when the repulsive Coulomb interaction between electrons dominates over their kinetic energy1,2. Doping additionalExpand
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Thermosensitive Au-PNIPA yolk-shell nanoparticles with tunable selectivity for catalysis.
Metallic nanoparticles have been the subject of intense research recently because of their catalytic properties, which may differ considerably from the bulk metal. As the free nanoparticles tend toExpand
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Investigating Fundamental Security Requirements on Whirlpool: Improved Preimage and Collision Attacks
In this paper, improved cryptanalyses for the ISO standard hash function Whirlpool are presented with respect to the fundamental security notions. While a subspace distinguisher was presented on fullExpand
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More powerful significant testing for time course gene expression data using functional principal component analysis approaches
BackgroundOne of the fundamental problems in time course gene expression data analysis is to identify genes associated with a biological process or a particular stimulus of interest, like a treatmentExpand
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Optimal control problem of backward stochastic differential delay equation under partial information
  • Shuang Wu, G. Wang
  • Mathematics, Computer Science
  • Syst. Control. Lett.
  • 1 August 2015
Abstract In this paper, we study the optimal control problem of backward stochastic differential delay equation under partial information. A class of time-advanced stochastic differential equationsExpand
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