Publications (26)
Observation of topologically enabled complete polarization conversion
Fujia Chen, Zhen Gao, Li Zhang +8
Exploiting topological ideas has been a major theme in modern photonics, which provides unprecedented opportunities to design photonic devices with robustness against defects and f…
Multifrequency superscattering from subwavelength hyperbolic structures
Chao Qian, Xiao Lin, Yi Yang +8
Superscattering, i.e., a phenomenon of the scattering cross section from a subwavelength object exceeding the single-channel limit, has important prospects in enhanced sensing/spec…
Type-I hyperbolic metasurfaces for highly-squeezed designer polaritons with negative group velocity
Yihao Yang, Pengfei Qin, Xiao Lin +4
Hyperbolic polaritons in van der Waals materials and metamaterial heterostructures provide unprecedented control over light-matter interaction at the extreme nanoscale. Here, we pr…
Valley kink states and topological channel intersections in substrate-integrated photonic circuitry
Li Zhang, Yihao Yang, Mengjia He +8
Valley degrees of freedom, providing a novel way to increase capacity and efficiency of information processing, have become an important instrument for photonics. Experimental stud…
Design of Ultra-compact Graphene-based Superscatterers
Rujiang Li, Bin Zheng, Xiao Lin +5
The energy-momentum dispersion relation is a fundamental property of plasmonic systems. In this paper, we show that the method of dispersion engineering can be used for the design…
On-Chip Vectorial Structured Light Manipulation via Inverse Design
Xiaobin Lin, Maoliang Wei, Kunhao Lei +12
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…
Three-dimensional visible-light invisibility cloak
Bin Zheng, Rongrong Zhu, Liqiao Jing +8
The concept of an invisibility cloak is a fixture of science fiction, fantasy, and the collective imagination. However, a real device that could hide an object from sight in visibl…
Higher-order photonic topological states in surface-wave photonic crystals
Li Zhang, Yihao Yang, Pengfei Qin +6
Photonic topological states have revolutionized our understanding on the propagation and scattering of light. Recent discovery of higher-order photonic topological insulators opens…
Efficient ANN-Guided Distillation: Aligning Rate-based Features of Spiking Neural Networks through Hybrid Block-wise Replacement
Shu Yang, Chengting Yu, Lei Liu +3
Spiking Neural Networks (SNNs) have garnered considerable attention as a potential alternative to Artificial Neural Networks (ANNs). Recent studies have highlighted SNNs' potential…
Observation of scale-free localized states induced by non-Hermitian defects
Xinrong Xie, Gan Liang, Fei Ma +7
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 phy…
MAP-SNN: Mapping Spike Activities with Multiplicity, Adaptability, and Plasticity into Bio-Plausible Spiking Neural Networks
Chengting Yu, Yangkai Du, Mufeng Chen +3
Spiking Neural Network (SNN) is considered more biologically realistic and power-efficient as it imitates the fundamental mechanism of the human brain. Recently, backpropagation (B…
Concealing arbitrary objects remotely with multi-folded transformation optics
Bin Zheng, Hamza Ahmad Madni, Ran Hao +4
An invisibility cloak that can hide an arbitrary object external to the cloak itself has not been devised before. In this Letter, we introduce a novel way to design a remote cloaki…
Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation
Chengting Yu, Lei Liu, Gaoang Wang +2
Recent insights have revealed that rate-coding is a primary form of information representation captured by surrogate-gradient-based Backpropagation Through Time (BPTT) in training…
Controlling asymmetric absorption of metasurfaces via non-Hermitian doping
Min Li, Zuojia Wang, Wenyan Yin +2
Metasurfaces based on subwavelength resonators enable novel ways to manipulate the flow of light at optical interfaces. In pursuit of multifunctional or reconfigurable metadevices,…
Go beyond End-to-End Training: Boosting Greedy Local Learning with Context Supply
Chengting Yu, Fengzhao Zhang, Hanzhi Ma +2
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 restric…
SUTD-PRCM Dataset and Neural Architecture Search Approach for Complex Metasurface Design
Tianning Zhang, Yee Sin Ang, Erping Li +2
Metasurfaces have received a lot of attentions recently due to their versatile capability in manipulating electromagnetic wave. Advanced designs to satisfy multiple objectives with…
Experimental observation of superscattering
Chao Qian, Xiao Lin, Yi Yang +6
Superscattering, induced by degenerate resonances, breaks the fundamental single-channel limit of scattering cross section of subwavelength structures; in principle, an arbitrarily…
Kirigami Metamaterials for Reconfigurable Toroidal Circular Dichroism
Liqiao Jing, Zuojia Wang, Bin Zheng +6
The ancient paper craft of kirigami has recently emerged as a potential tool for the design of functional materials. Inspired by the kirigami concept, we propose a class of kirigam…
Stack operation of tensor networks
Tianning Zhang, Tianqi Chen, Erping Li +2
The tensor network, as a facterization of tensors, aims at performing the operations that are common for normal tensors, such as addition, contraction and stacking. However, due to…
Bistable scattering in graphene-coated dielectric nanowires
Rujiang Li, Huaping Wang, Bin Zheng +3
In nonlinear plasmonics, the switching threshold of optical bistability is limited by the weak nonlinear responses from the conventional Kerr dielectric media. Considering the gian…
Graphene induced mode bifurcation at low input power
Rujiang Li, Xiao Lin, Hongsheng Chen +3
We study analytically the plasmonic modes in the graphene-coated dielectric nanowire, based on the explicit form of nonlinear surface conductivity of graphene. The propagation cons…
Novel Physics-Aware Attention-Based Machine Learning Approach for Mutual Coupling Modeling
Can Wang, Wei Liu, Hanzhi Ma +3
This article presents a physics-aware convolutional long short-term memory (PC-LSTM) network for efficient and accurate extraction of mutual impedance matrices in dipole antenna ar…
Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment
Chengting Yu, Xiaochen Zhao, Lei Liu +4
Spiking Neural Networks (SNNs) are emerging as a brain-inspired alternative to traditional Artificial Neural Networks (ANNs), prized for their potential energy efficiency on neurom…
STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution and Attention for Spiking Neural Networks
Chengting Yu, Zheming Gu, Da Li +3
Spiking Neural Networks (SNNs), as one of the algorithmic models in neuromorphic computing, have gained a great deal of research attention owing to temporal information processing…
Polarization-Orthogonal Nondegenerate Plasmonic Higher-Order Topological States
Yuanzhen Li, Su Xu, Zijian Zhang +10
Photonic topological states, providing light-manipulation approaches in robust manners, have attracted intense attention. Connecting photonic topological states with far-field degr…
High-Performance Permanent Magnet Array Design by a Fast Genetic Algorithm (GA)-based Optimization for Low-Field Portable MRI
Ting-Ou Liang, Yan Hao Koh, Tie Qiu +3
A permanent magnet array (PMA) is a preferred source of magnetic field for body-part-dedicated low-field (<0.5 T) portable magnetic resonance imaging (MRI) because it has a small f…