Er‐Ping Li
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View article: Multivariate Time Series Forecasting with Hybrid Euclidean-SPD Manifold Graph Neural Networks
Multivariate Time Series Forecasting with Hybrid Euclidean-SPD Manifold Graph Neural Networks Open
Multivariate Time Series (MTS) forecasting plays a vital role in various real-world applications, such as traffic management and predictive maintenance. Existing approaches typically model MTS data in either Euclidean or Riemannian space, …
View article: 3D Human Motion Prediction via the Decoupled Spatiotemporal Clue
3D Human Motion Prediction via the Decoupled Spatiotemporal Clue Open
Human motion exhibits high-dimensional and stochastic characteristics, posing significant challenges for modeling and prediction. Existing approaches typically employ coupled spatiotemporal frameworks to generate future poses. However, the…
View article: Multivariate Time Series Forecasting with Hybrid Euclidean-SPD Manifold Graph Neural Networks
Multivariate Time Series Forecasting with Hybrid Euclidean-SPD Manifold Graph Neural Networks Open
Multivariate Time Series (MTS) forecasting plays a vital role in various real-world applications, such as traffic management and predictive maintenance. Existing approaches typically model MTS data in either Euclidean or Riemannian space, …
View article: MetaSeeker: sketching an open invisible space with self-play reinforcement learning
MetaSeeker: sketching an open invisible space with self-play reinforcement learning Open
View article: Automated Stopping Criterion for Sparse Near-field Scanning with Active Machine Learning
Automated Stopping Criterion for Sparse Near-field Scanning with Active Machine Learning Open
View article: Automatic Electromagnetic Radiation Source Imaging and Localization Using Active and Unsupervised Machine Learning
Automatic Electromagnetic Radiation Source Imaging and Localization Using Active and Unsupervised Machine Learning Open
View article: A reduced mesh quality dependency simulation method for carrier transport simulation with density gradient quantum correction
A reduced mesh quality dependency simulation method for carrier transport simulation with density gradient quantum correction Open
The density gradient model is a drift–diffusion approximation with density gradient quantum correction, which can be employed for carrier transport simulation in high quantum confinement regions with rapid computation speed and accurate si…
View article: Observation of non-Hermitian topological disclination states and charge fractionalization
Observation of non-Hermitian topological disclination states and charge fractionalization Open
There has been significant interest in exploring topological disclination states, which effectively probe the band topology of the host material beyond the conventional bulk-edge correspondence. While most studies in this area have primari…
View article: Holographic multiplexing metasurface with twisted diffractive neural network
Holographic multiplexing metasurface with twisted diffractive neural network Open
View article: Design and analysis of ultra-wideband miniaturized metamaterial absorbers for radiation suppression
Design and analysis of ultra-wideband miniaturized metamaterial absorbers for radiation suppression Open
This paper presents a novel miniaturized ultra-wideband metamaterial absorber with a thickness of 0.069 λ L thick, engineered to suppress electromagnetic radiation in high-frequency chip packaging. The absorber’s bandwidth is enhanced thro…
View article: On-Chip Vectorial Structured Light Manipulation via Inverse Design
On-Chip Vectorial Structured Light Manipulation via Inverse Design Open
On-chip structured light, with potentially infinite complexity, has emerged as a linchpin in the realm of integrated photonics. However, the realization of arbitrarily tailoring a multitude of light field dimensions in complex media remain…
View article: Sketching an open invisible space with multiagent reinforcement learning
Sketching an open invisible space with multiagent reinforcement learning Open
Controlling electromagnetic (EM) waves at will is fundamentally important for diverse applications, ranging from optical microcavities, super-resolution imaging, to quantum information processing. Decades ago, the forays into metamaterials…
View article: Investigation of thermal stress effects on subthreshold conduction in nanoscale p-FinFET from Multiphysics perspective
Investigation of thermal stress effects on subthreshold conduction in nanoscale p-FinFET from Multiphysics perspective Open
The rising temperature due to a self-heating or thermal environment not only degrades the subthreshold performance but also intensifies thermal stress, posing a severe challenge to device performance and reliability design. The thermal str…
View article: SDiT: Spiking Diffusion Model with Transformer
SDiT: Spiking Diffusion Model with Transformer Open
Spiking neural networks (SNNs) have low power consumption and bio-interpretable characteristics, and are considered to have tremendous potential for energy-efficient computing. However, the exploration of SNNs on image generation tasks rem…
View article: Observation of scale-free localized states induced by non-Hermitian defects
Observation of scale-free localized states induced by non-Hermitian defects Open
Wave localization is a fundamental phenomenon that appears universally in both natural materials and artificial structures and plays a crucial role in understanding the various physical properties of a system. Usually, a localized state ha…
View article: Inverse design of compact nonvolatile reconfigurable silicon photonic devices with phase-change materials
Inverse design of compact nonvolatile reconfigurable silicon photonic devices with phase-change materials Open
In the development of silicon photonics, the continued downsizing of photonic integrated circuits will further increase the integration density, which augments the functionality of photonic chips. Compared with the traditional design metho…
View article: Autonomous aeroamphibious invisibility cloak with stochastic-evolution learning
Autonomous aeroamphibious invisibility cloak with stochastic-evolution learning Open
Being invisible ad libitum has long captivated the popular imagination, particularly in terms of safeguarding modern high-end instruments from potential threats. Decades ago, the advent of metamaterials and transformation optics sparked co…
View article: Information-theoretic Measures for Reconfigurable Metasurface-enabled Direct Digital Modulation Systems: An Electromagnetic Perspective
Information-theoretic Measures for Reconfigurable Metasurface-enabled Direct Digital Modulation Systems: An Electromagnetic Perspective Open
The fusion of electromagnetic (EM) waves and information theory in wireless and waveguide communication technologies has enjoyed a remarkable revival during the last few years.In particular, unlike traditional transceiver systems, the rece…
View article: Non-Invasive Self-Adaptive Information States’ Acquisition inside Dynamic Scattering Spaces
Non-Invasive Self-Adaptive Information States’ Acquisition inside Dynamic Scattering Spaces Open
Pushing the information states’ acquisition efficiency has been a long-held goal to reach the measurement precision limit inside scattering spaces. Recent studies have indicated that maximal information states can be attained through engin…
View article: S‐parameter extraction for electromagnetic modelling of memristor‐based crossbar array circuits
S‐parameter extraction for electromagnetic modelling of memristor‐based crossbar array circuits Open
This article presents an efficient S ‐parameter extraction method for memristor‐based crossbar array circuits. The proposed approach involves converting the array into an equivalent circuit and analytically solving the circuit to obtain th…
View article: Go beyond End-to-End Training: Boosting Greedy Local Learning with Context Supply
Go beyond End-to-End Training: Boosting Greedy Local Learning with Context Supply Open
Traditional end-to-end (E2E) training of deep networks necessitates storing intermediate activations for back-propagation, resulting in a large memory footprint on GPUs and restricted model parallelization. As an alternative, greedy local …
View article: A Novel Physics-Assisted Genetic Algorithm(PAGA) for Decoupling Capacitor Optimization
A Novel Physics-Assisted Genetic Algorithm(PAGA) for Decoupling Capacitor Optimization Open
This article proposes a new physics-assisted genetic algorithm (PAGA) for decoupling capacitor (decap) optimization in power distribution networks (PDNs), which is, by far, the most powerful approach to efficiently minimizing the number of…
View article: A Novel Physics-Assisted Genetic Algorithm(PAGA) for Decoupling Capacitor Optimization
A Novel Physics-Assisted Genetic Algorithm(PAGA) for Decoupling Capacitor Optimization Open
This article proposes a new physics-assisted genetic algorithm (PAGA) for decoupling capacitor (decap) optimization in power distribution networks (PDNs), which is, by far, the most powerful approach to efficiently minimizing the number of…
View article: Breaking the Degrees-of-Freedom Limit of Holographic MIMO Communications: A 3-D Antenna Array Topology
Breaking the Degrees-of-Freedom Limit of Holographic MIMO Communications: A 3-D Antenna Array Topology Open
The performance of holographic multiple-input multiple-output (MIMO) communications, employing two-dimensional (2-D) planar antenna arrays, is typically compromised by finite degrees-of-freedom (DOF) stemming from limited array size. The D…
View article: Non-invasive self-adaptive information states acquisition inside dynamic scattering spaces
Non-invasive self-adaptive information states acquisition inside dynamic scattering spaces Open
Pushing the information states acquisition efficiency has been a long-held goal to reach the measurement precision limit inside scattering spaces. Recent studies point out that the maximum information states can be achieved by engineered m…
View article: An Electromagnetic Perspective of Artificial Intelligence Neuromorphic Chips
An Electromagnetic Perspective of Artificial Intelligence Neuromorphic Chips Open
The emergence of artificial intelligence has represented great potential in solving a wide range of complex problems. However, traditional general-purpose chips based on von Neumann architectures face the “memory wall” problem when applied…
View article: Eye accommodation-inspired neuro-metasurface focusing
Eye accommodation-inspired neuro-metasurface focusing Open
The human eye, which relies on a flexible and controllable lens to focus light onto the retina, has inspired many scientific researchers to understand better and imitate the biological vision system. However, real-time environmental adapta…
View article: Polarization-Orthogonal Nondegenerate Plasmonic Higher-Order Topological States
Polarization-Orthogonal Nondegenerate Plasmonic Higher-Order Topological States Open
Photonic topological states, providing light-manipulation approaches in robust manners, have attracted intense attention. Connecting photonic topological states with far-field degrees of freedom (d.o.f.) has given rise to fruitful phenomen…
View article: Investigation of Parallel and Quadrature MIMO Antennas with Double-Notched Structure for UWB Applications
Investigation of Parallel and Quadrature MIMO Antennas with Double-Notched Structure for UWB Applications Open
In order to solve the interference of narrowband communication system to ultra-wideband (UWB) system and meet the design requirements of high isolation of multiple-input multiple-output (MIMO) antenna, two MIMO antennas with double notch s…
View article: A knowledge-inherited learning for intelligent metasurface design and assembly
A knowledge-inherited learning for intelligent metasurface design and assembly Open