Optical Spectral Shaping Based on Reconfigurable Integrated Microring Resonat…
We demonstrate a multifunctional optical spectral shaper on a silicon photonic chip. The proposed structure is composed of a tunable microring resonator (MRR) and three tunable Sagnac loop mirrors …
Characterization and Manipulation of Temporal Structures of Dispersive Waves …
Dispersive waves (DWs) are ubiquitous in nonlinear optical systems that host optical solitons. In particular, DWs in soliton fiber lasers have attracted continuous interest over the past decades si…
Air-Ground Integrated Sensing and Communications : Opportunities and Challenges
The air-ground integrated sensing and communications (AG-ISAC) network, which consists of unmanned aerial vehicles (UAVs) and ground terrestrial networks, offers unique capabilities and demands spe…
Digital Subcarrier Multiplexing : Enabling Software-Configurable Optical Netw…
The various topologies, traffic patterns and cost targets of optical networks have prevented the deployment of end-to-end solutions across multi-domains, and the optimization of the network as a wh…
Flat-Top Soliton Frequency Comb Generation Through Intra-Cavity Dispersion En…
Dissipative Kerr cavity soliton and optical frequency comb (OFC) can be generated in fiber cavities or microresonators with anomalous group velocity dispersion (GVD), which has achieved great break…
Meta-Learning Assisted Source Domain Optimization for Transfer Learning Based…
Transfer learning (TL) has been demonstrated its feasibility on fast remodeling for fiber nonlinearity equalization. It will be very efficient with fine-tuning rather than retraining when the chann…
Spectral Patterns of Elastic Transmission Eigenfunctions: Boundary Localizati…
We present a comprehensive study of new discoveries on the spectral patterns of elastic transmission eigenfunctions, including boundary localization, surface resonance, and stress concentration. In…
Point Cloud Instance Segmentation With Semi-Supervised Bounding-Box Mining
Point cloud instance segmentation has achieved huge progress with the emergence of deep learning. However, these methods are usually data-hungry with expensive and time-consuming dense point cloud …
A Synthetic Regression Model for Large Portfolio Allocation
Portfolio allocation is an important topic in financial data analysis. In this article, based on the mean-variance optimization principle, we propose a synthetic regression model for construction o…
A Unified Framework for Specification Tests of Continuous Treatment Effect Mo…
We propose a general framework for the specification testing of continuous treatment effect models. We assume a general residual function, which includes the average and quantile treatment effect m…
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