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…

Error-Controlled Iterative Algorithms for Digital Linearization of IMDD-Based…

In intensity-modulation and direct-detection (IMDD) single-mode fibre (SMF) transmission systems, the nonlinear operation of square-law detection causes signal-signal beating interference (SSBI) th…

AGO-Net : Association-Guided 3D Point Cloud Object Detection Network

The human brain can effortlessly recognize and localize objects, whereas current 3D object detection methods based on LiDAR point clouds still report inferior performance for detecting occluded and…

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; …

Topological Bound Modes With Orbital Angular Momentum in Optical Waveguide Ar…

Coupled optical waveguide arrays, in which the wave tunnelling dynamics resembles that of electrons in crystals, have been utilized as a versatile tool to demonstrate topological phenomena. So far,…

Activating the tools of social media for innovative collaboration in the ente…

Distortion Compensation for Orbital Angular Momentum Beams: From Probing to D…

Beams carrying orbital angular momentum (OAM), has attracted wide interests recently, due to their favorable potential in communications, optical tweezers, remote detection, etc. However, distortio…

MonoEF: Extrinsic Parameter Free Monocular 3D Object Detection

Monocular 3D object detection is an important task in autonomous driving. It can be easily intractable where there exists ego-car pose change w.r.t. ground plane. This is common due to the slight f…

Offline and Online Objective Reduction via Gaussian Mixture Model Clustering

The objective reduction has been regarded as a basic issue in many-objective optimization. Existing objective reduction methods identify one set of essential objectives using an approximate nondomi…

A Multiobjective Multitask Optimization Algorithm Using Transfer Rank

Multiobjective multitask optimization (MMO) attempts to solve several problems simultaneously. This is commonly done by identifying useful knowledge to transfer between tasks, thereby producing opt…