Delivery of Polarization-Division-Multiplexing Wireless Millimeter-Wave Signa…
We proposed and established a large-capacity, long-distance wireless millimeter-wave (mm-wave) signal delivery system at W-band based on photonics-aided mm-wave generation technology, polarization-…
Instantaneous Frequency Measurement With Full FSR Range and Optimized Estimat…
A photonic-assisted approach for instantaneous frequency measurement (IFM) based on a 1×4 Mach–Zehnder interferometer (MZI) structure is proposed and experimentally demonstrated. In this IFM met…
Sawtooth Fiber MZ Vector Bending Sensor Available for Multi Parameter Measure…
In this paper, a fiber Mach Zehnder (MZ) interferometer based on sawtooth structure was proposed. It not only has the ability of bending sensing and bending direction recognition, but also can be a…
PVNAS : 3D Neural Architecture Search With Point-Voxel Convolution
3D neural networks are widely used in real-world applications (e.g., AR/VR headsets, self-driving cars). They are required to be fast and accurate; however, limited hardware resources on edge devic…
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…
TelecomNet : Tag-Based Weakly-Supervised Modally Cooperative Hashing Network …
We are concerned with using user-tagged images to learn proper hashing functions for image retrieval. The benefits are two-fold: (1) we could obtain abundant training data for deep hashing models; …
Learning Deformable Image Registration From Optimization : Perspective, Modul…
Conventional deformable registration methods aim at solving an optimization model carefully designed on image pairs and their computational costs are exceptionally high. In contrast, recent deep le…
Diagnose Like a Radiologist : Hybrid Neuro-Probabilistic Reasoning for Attrib…
During clinical practice, radiologists often use attributes, e.g., morphological and appearance characteristics of a lesion, to aid disease diagnosis. Effectively modeling attributes as well as all…
Attention in Reasoning : Dataset, Analysis, and Modeling
While attention has been an increasingly popular component in deep neural networks to both interpret and boost the performance of models, little work has examined how attention progresses to accomp…
Orbital Angular Momentum Mode-Multiplexed Amplification and Transmission Base…
Recently, orbital angular momentum (OAM) multiplexing has attracted much attention for providing an exponential growth in optical fiber capacity. As an irreplaceable component to promote long-haul …
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