Wavelength Selective Switch-Based Clos Network : Blocking Theory and Performa…
A Clos network is a classical switching network often used in conventional electrical switches. In a Wavelength Selective Switch (WSS) based Clos all-optical switching network, the wavelength dimen…
Integration Time and Time-Bin Width in Ranging Histograms for a Photon-Counti…
High-performance light detection and ranging (LiDAR) modules are highly demanded for advanced driving assistance system and autonomous driving. With CMOS-fabricated single-photon avalanche diodes (…
Fusing Physics to Fiber Nonlinearity Model for Optical Networks Based on Phys…
Machine learning (ML) has been widely used for physical layer modeling in optical networks for its high accuracy and efficient calculation structure. However, traditional ML-based methods purely re…
Design of Microstructured Flat Optical Fiber for Multiaxial Strain Monitoring…
An innovative microstructured flat optical fiber is designed to obtain a multiaxial strain sensor for composite material monitoring. The sensing regions are constituted by the two eyelets where Bra…
Revisiting Spectral Bundle Methods: Primal-Dual (Sub)linear Convergence Rates
The spectral bundle method proposed by Helmberg and Rendl [SIAM J. Optim., 10 (2000), pp. 673–696] is well established for solving large-scale semidefinite programs (SDPs) thanks to its low per i…
A Stochastic Composite Augmented Lagrangian Method for Reinforcement Learning
In this paper, we consider the linear programming (LP) formulation for deep reinforcement learning. The number of the constraints depends on the size of state and action spaces, which makes the pro…
VideoDG : Generalizing Temporal Relations in Videos to Novel Domains
This paper introduces video domain generalization where most video classification networks degenerate due to the lack of exposure to the target domains of divergent distributions. We observe that t…
Seek-and-Hide : Adversarial Steganography via Deep Reinforcement Learning
The goal of image steganography is to hide a full-sized image, termed secret, into another, termed cover. Prior image steganography algorithms can conceal only one secret within one cover. In this …
Understanding a Class of Decentralized and Federated Optimization Algorithms:…
Distributed algorithms have been playing an increasingly important role in many applications such as machine learning, signal processing, and control. Significant research efforts have been devoted…
Inertial Proximal Block Coordinate Method for a Class of Nonsmooth Sum-of-Rat…
In this paper, we consider a class of nonsmooth sum-of-ratios fractional optimization problems with block structure. This model class is ubiquitous and encompasses several important nonsmooth optim…
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