Publications (110)
Multi-Scenario Broadband Channel Measurement and Modeling for Sub-6 GHz RIS-Assisted Wireless Communication Systems
Jian Sang, Mingyong Zhou, Jifeng Lan +8
Reconfigurable intelligent surface (RIS)-empowered communication, has been considered widely as one of the revolutionary technologies for next generation networks. However, due to…
Robust Subspace Clustering via Tighter Rank Approximation
Zhao Kang, Chong Peng, Qiang Cheng
Matrix rank minimization problem is in general NP-hard. The nuclear norm is used to substitute the rank function in many recent studies. Nevertheless, the nuclear norm approximatio…
Coding Metamaterials, Digital Metamaterials and Programming Metamaterials
Tie Jun Cui, Mei Qing Qi, Xiang Wan +2
As artificial structures, metamaterials are usually described by macroscopic effective medium parameters, which are named as "analog metamaterials". Here, we propose "digital metam…
Alcohol Intake Differentiates AD and LATE: A Telltale Lifestyle from Two Large-Scale Datasets
Xinxing Wu, Chong Peng, Peter T. Nelson +1
Alzheimer's disease (AD), as a progressive brain disease, affects cognition, memory, and behavior. Similarly, limbic-predominant age-related TDP-43 encephalopathy (LATE) is a recen…
Arbitrary manipulations of dual harmonics and their wave behaviors based on space-time-coding digital metasurface
Jun Yan Dai, Jin Yang, Wankai Tang +5
Space-time modulated metasurfaces have attracted significant attention due to the additional degree of freedom in manipulating the electromagnetic (EM) waves in both space and time…
Discriminative Ridge Machine: A Classifier for High-Dimensional Data or Imbalanced Data
Chong Peng, Qiang Cheng
We introduce a discriminative regression approach to supervised classification in this paper. It estimates a representation model while accounting for discriminativeness between cl…
An electromagnetic black hole made of metamaterials
Qiang Cheng, Tie Jun Cui, Wei Xiang Jiang +1
Traditionally, a black hole is a region of space with huge gravitational field, which absorbs everything hitting it. In history, the black hole was first discussed by Laplace under…
Perfect crossed Andreev reflection in the proximitized graphene/superconductor/proximitized graphene junctions
Shu-Chang Zhao, Lu Gao, Qiang Cheng +1
We study the crossed Andreev reflection and the nonlocal transport in the proximitized graphene/supercondcutor/proximitized graphene junctions with the pseudospin staggered potenti…
Field-free Josephson diode effect in altermagnet/normal metal/altermagnet junctions
Qiang Cheng, Yue Mao, Qing-Feng Sun
The field-free and highly efficient diodes with the nonreciprocity of supercurrent are believed to be the core block of the superconducting computing devices without dissipation. I…
Twin Learning for Similarity and Clustering: A Unified Kernel Approach
Zhao Kang, Chong Peng, Qiang Cheng
Many similarity-based clustering methods work in two separate steps including similarity matrix computation and subsequent spectral clustering. However, similarity measurement is c…
A Multimodal Deep Learning Framework for Edema Classification Using HCT and Clinical Data
Aram Ansary Ogholbake, Hannah Choi, Spencer Brandenburg +10
We propose AttentionMixer, a unified deep learning framework for multimodal detection of brain edema that combines structural head CT (HCT) with routine clinical metadata. While HC…
Top-N Recommender System via Matrix Completion
Zhao Kang, Chong Peng, Qiang Cheng
Top-N recommender systems have been investigated widely both in industry and academia. However, the recommendation quality is far from satisfactory. In this paper, we propose a sim…
MolSnap: Snap-Fast Molecular Generation with Latent Variational Mean Flow
Md Atik Ahamed, Qiang Ye, Qiang Cheng
Molecular generation conditioned on textual descriptions is a fundamental task in computational chemistry and drug discovery. Existing methods often struggle to simultaneously ensu…
MambaTab: A Plug-and-Play Model for Learning Tabular Data
Md Atik Ahamed, Qiang Cheng
Despite the prevalence of images and texts in machine learning, tabular data remains widely used across various domains. Existing deep learning models, such as convolutional neural…
Invisibility cloak without singularity
Wei Xiang Jiang, Tie Jun Cui, Xin Mi Yang +3
An elliptical invisible cloak is proposed using a coordinate transformation in the elliptical-cylindrical coordinate system, which crushes the cloaked object to a line segment inst…
CrossLLM-Mamba: Multimodal State Space Fusion of LLMs for RNA Interaction Prediction
Rabeya Tus Sadia, Qiang Ye, Qiang Cheng
Accurate prediction of RNA-associated interactions is essential for understanding cellular regulation and advancing drug discovery. While Biological Large Language Models (BioLLMs)…
TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting
Md Atik Ahamed, Qiang Cheng
Long-term time-series forecasting remains challenging due to the difficulty in capturing long-term dependencies, achieving linear scalability, and maintaining computational efficie…
Double Andreev reflections and double normal reflections in nodal-line semimetal-superconductor junctions
Qiang Cheng, Zhe Hou, Qing-Feng Sun
We study systematically the scattering processes and the conductance spectra in nodal-line semimetalsuperconductor junctions using the extended Blonder-Tinkham-Klapwijk theory. The…
Every Step Evolves: Scaling Reinforcement Learning for Trillion-Scale Thinking Model
Ling Team, Anqi Shen, Baihui Li +101
We present Ring-1T, the first open-source, state-of-the-art thinking model with a trillion-scale parameter. It features 1 trillion total parameters and activates approximately 50 b…
Orientation-dependent Josephson effect in spin-singlet superconductor/altermagnet/spin-triplet superconductor junctions
Qiang Cheng, Qing-Feng Sun
We study the Josephson effect in the spin-singlet superconductor/altermagnet/spin-triplet superconductor junctions using the Green's function method. The current-phase difference r…
Polarization-controlled anisotropic coding metamaterials at terahertz frequencies
Shuo Liu, Tie Jun Cui, Quan Xu +12
Metamaterials based on effective media have achieved a lot of unusual physics (e.g. negative refraction and invisibility cloaking) owing to their abilities to tailor the effective…
Spin-valley dependent double Andreev reflections in the proximitized graphene/superconductor junction
Lu Gao, Qiang Cheng, Qing-Feng Sun
We study the Andreev reflections and the quantum transport in the proximitized graphene/superconductor junction. The proximitized graphene possesses the pseudospin staggered potent…
Adaptive Weighted Discriminator for Training Generative Adversarial Networks
Vasily Zadorozhnyy, Qiang Cheng, Qiang Ye
Generative adversarial network (GAN) has become one of the most important neural network models for classical unsupervised machine learning. A variety of discriminator loss functio…
Fractal Autoencoders for Feature Selection
Xinxing Wu, Qiang Cheng
Feature selection reduces the dimensionality of data by identifying a subset of the most informative features. In this paper, we propose an innovative framework for unsupervised fe…
Switch effect and - transition in Ising superconductor Josephson junctions
Qiang Cheng, Qing-Feng Sun
We theoretically study the Josephson current in Ising superconductor-half-metal-Ising superconductor junctions. By solving the Bogoliubov-de Gennes equations, the Josephson current…
Programmable radio-frequency calculations in electromagnetic-wave domain
Shao Nan Chen, Zhan Ye Chen, Si Ran Wang +9
Information metasurfaces have emerged as pivotal components in next-generation electronic systems, with significant progress in their applications to communication, radar, and sens…
Five-Gene Expression Formula Accurately Detects Hepatocellular Carcinoma Tumors
Aram Ansary Ogholbake, Qiang Cheng
Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related deaths worldwide. Several diagnostic methods, such as imaging modalities and Serum Alpha-Fetoprotein (…
Simplified radar architecture based on information metasurface
Si Ran Wang, Zhan Ye Chen, Shao Nan Chen +10
Modern radar typically employs a chain architecture that consists of radio-frequency (RF) and intermediate frequency (IF) units, baseband digital signal processor, and information…
Josephson diode based on conventional superconductors and a chiral quantum dot
Qiang Cheng, Qing-Feng Sun
We propose theoretically a Josephson diode consisting of the conventional superconductors with the plain s-wave pairing and a chiral quantum dot. When an external magnetic field is…
Interpretable Concept-Guided Polynomial Tabular Kolmogorov-Arnold Network for EEG-Based Mild Cognitive Impairment Detection
Yosef Bernardus Wirian, Qiang Cheng
Early and scalable detection of mild cognitive impairment (MCI) remains an unresolved clinical challenge. Existing EEG-based screening approaches are constrained by handcrafted fea…
A wideband amplifying and filtering reconfigurable intelligent surface for wireless relay
Lijie Wu, Qun Yan Zhou, Jun Yan Dai +11
Programmable metasurfaces have garnered significant attention due to their exceptional ability to manipulate electromagnetic (EM) waves in real time, leading to the emergence of a…
Leaky-Wave Radiations by Modulating Surface Impedance on Subwavelength Corrugated Metal Structures
Ben Geng Cai, Yun Bo Li, Hui Feng Ma +3
One-dimensional (1D) subwavelength corrugated metal structures has been described to support spoof surface plasmon polaritons (SPPs). Here we demonstrate that a modulated 1D subwav…
Kernel Two-Dimensional Ridge Regression for Subspace Clustering
Chong Peng, Qian Zhang, Zhao Kang +2
Subspace clustering methods have been widely studied recently. When the inputs are 2-dimensional (2D) data, existing subspace clustering methods usually convert them into vectors,…
Tunable ground states in helical -wave Josephson junctions
Qiang Cheng, Kunhua Zhang, Dongyang Yu +3
We study new types of Josephson junctions composed of helical -wave superconductors with and -pairing symmetries usi…
Robust Subspace Clustering via Smoothed Rank Approximation
Zhao Kang, Chong Peng, Qiang Cheng
Matrix rank minimizing subject to affine constraints arises in many application areas, ranging from signal processing to machine learning. Nuclear norm is a convex relaxation for t…
RIS-Assisted Joint Uplink Communication and Imaging: Phase Optimization and Bayesian Echo Decoupling
Shengyu Zhu, Zehua Yu, Qinghua Guo +3
Achieving integrated sensing and communication (ISAC) via uplink transmission is challenging due to the unknown waveform and the coupling of communication and sensing echoes. In th…
TabNSA: Native Sparse Attention for Efficient Tabular Data Learning
Ali Eslamian, Qiang Cheng
Tabular data poses unique challenges for deep learning due to its heterogeneous feature types, lack of spatial structure, and often limited sample sizes. We propose TabNSA, a novel…
Top- Regularization for Supervised Feature Selection
Xinxing Wu, Qiang Cheng
Feature selection identifies subsets of informative features and reduces dimensions in the original feature space, helping provide insights into data generation or a variety of dom…
Wireless Communications with Reconfigurable Intelligent Surface: Path Loss Modeling and Experimental Measurement
Wankai Tang, Ming Zheng Chen, Xiangyu Chen +7
Reconfigurable intelligent surfaces (RISs) comprised of tunable unit cells have recently drawn significant attention due to their superior capability in manipulating electromagneti…
Interplay between RIS and AI in Wireless Communications: Fundamentals, Architectures, Applications, and Open Research Problems
Jinghe Wang, Wankai Tang, Yu Han +5
Future wireless communication networks are expected to fulfill the unprecedented performance requirements to support our highly digitized and globally data-driven society. Various…
Wireless Communications with Programmable Metasurface: New Paradigms, Opportunities, and Challenges on Transceiver Design
Wankai Tang, Ming Zheng Chen, Jun Yan Dai +5
Many emerging technologies, such as ultra-massive multiple-input multiple-output (UM-MIMO), terahertz (THz) communications are under active discussion as promising technologies to…
Unified Spectral Clustering with Optimal Graph
Zhao Kang, Chong Peng, Qiang Cheng +1
Spectral clustering has found extensive use in many areas. Most traditional spectral clustering algorithms work in three separate steps: similarity graph construction; continuous l…
Reconfigurable Intelligent Surface: Power Consumption Modeling and Practical Measurement Validation
Jinghe Wang, Wankai Tang, Jing Cheng Liang +6
The reconfigurable intelligent surface (RIS) has received a lot of interest because of its capacity to reconfigure the wireless communication environment in a cost- and energy-effi…
PRIME: Uncovering Circadian Oscillation Patterns and Associations with AD in Untimed Genome-wide Gene Expression across Multiple Brain Regions
Xinxing Wu, Chong Peng, Gregory Jicha +2
The disruption of circadian rhythm is a cardinal symptom for Alzheimer's disease (AD) patients. The full circadian rhythm orchestration of gene expression in the human brain and it…
A Novel Independent RNN Approach to Classification of Seizures against Non-seizures
Xinghua Yao, Qiang Cheng, Guo-Qiang Zhang
In current clinical practices, electroencephalograms (EEG) are reviewed and analyzed by trained neurologists to provide supports for therapeutic decisions. Manual reviews can be la…
Exploiting Edge Features in Graph Neural Networks
Liyu Gong, Qiang Cheng
Edge features contain important information about graphs. However, current state-of-the-art neural network models designed for graph learning, e.g. graph convolutional networks (GC…
Longwave-transparent low-emissivity material
Yue Zhang, Longnan Li, Junyan Dai +16
Low emissivity (low-e) materials are crucial for conserving thermal energy in buildings, cold chain logistics and transportation by minimizing unwanted radiative heat loss or gain.…
TabKAN: Advancing Tabular Data Analysis using Kolmogorov-Arnold Network
Ali Eslamian, Alireza Afzal Aghaei, Qiang Cheng
Tabular data analysis presents unique challenges that arise from heterogeneous feature types, missing values, and complex feature interactions. While traditional machine learning m…
Deep Learning in Single-Cell and Spatial Transcriptomics Data Analysis: Advances and Challenges from a Data Science Perspective
Shuang Ge, Shuqing Sun, Huan Xu +2
The development of single-cell and spatial transcriptomics has revolutionized our capacity to investigate cellular properties, functions, and interactions in both cellular and spat…
Equal-spin and oblique-spin crossed Andreev reflections in ferromagnet/Ising superconductor/ferromagnet junction
Wei-Tao Lu, Qing-Feng Sun, Qiang Cheng
We study the subgap transport through a ferromagnet/Ising superconductor/ferromagnet (F/ISC/F) junction by solving the Bogoliubov-de Gennes equations. It is found that the crossed…
Programmable Metasurface-based RF Chain-free 8PSK Wireless Transmitter
Wankai Tang, Jun Yan Dai, Mingzheng Chen +5
In this letter, a wireless transmitter using the new architecture of programmable metasurface is presented. The proposed transmitter does not require any filter, nor wideband mixer…
On Channel Reciprocity in Reconfigurable Intelligent Surface Assisted Wireless Network
Wankai Tang, Xiangyu Chen, Ming Zheng Chen +6
Channel reciprocity greatly facilitates downlink precoding in time-division duplexing (TDD) multiple-input multiple-output (MIMO) communications without the need for channel state…
Algorithmic Stability and Generalization of an Unsupervised Feature Selection Algorithm
Xinxing Wu, Qiang Cheng
Feature selection, as a vital dimension reduction technique, reduces data dimension by identifying an essential subset of input features, which can facilitate interpretable insight…
Two-Dimensional Semi-Nonnegative Matrix Factorization for Clustering
Chong Peng, Zhilu Zhang, Zhao Kang +2
In this paper, we propose a new Semi-Nonnegative Matrix Factorization method for 2-dimensional (2D) data, named TS-NMF. It overcomes the drawback of existing methods that seriously…
RefiDiff: Progressive Refinement Diffusion for Efficient Missing Data Imputation
Md Atik Ahamed, Qiang Ye, Qiang Cheng
Missing values in high-dimensional, mixed-type datasets pose significant challenges for data imputation, particularly under Missing Not At Random (MNAR) mechanisms. Existing method…
Multiple-partition cross-modulation programmable metasurface empowering wireless communications
Jun Wei Zhang, Zhen Jie Qi, Li Jie Wu +14
With the versatile manipulation capability, programmable metasurfaces are rapidly advancing in their intelligence, integration, and commercialization levels. However, as the progra…
Continuously Tunable Berry Phase and Valley-Polarized Energy Spectra in Bilayer Graphene Quantum Dots
Ya-Ning Ren, Qiang Cheng, Qing-Feng Sun +1
Berry phase plays an important role in determining many physical properties of quantum systems. However, a Berry phase altering energy spectrum of a quantum system is comparatively…
A physics-based perspective for understanding and utilizing spatial resources of wireless channels
Hui Xu, Jun Wei Wu, Zhen Jie Qi +6
To satisfy the increasing demands for transmission rates of wireless communications, it is necessary to use spatial resources of electromagnetic (EM) waves. In this context, EM inf…
Deepened Graph Auto-Encoders Help Stabilize and Enhance Link Prediction
Xinxing Wu, Qiang Cheng
Graph neural networks have been used for a variety of learning tasks, such as link prediction, node classification, and node clustering. Among them, link prediction is a relatively…
Josephson effect in spin-singlet superconductor/ferromagnetic insulator/spin-triplet superconductor junctions with helical -wave states
Qiang Cheng, Biao Jin
We study the Josephson effect in spin-singlet superconductor/helical -wave superconductor junctions with a ferromagnetic barrier using the quasiclassical Green function method.…
Design and Implementation of MIMO Transmission Based on Dual-Polarized Reconfigurable Intelligent Surface
Xiangyu Chen, Jun Chen Ke, Wankai Tang +6
Multiple-input multiple-output (MIMO) signaling is one of the key technologies of current mobile communication systems. However, the complex and expensive radio frequency (RF) chai…
Bending sound around sharp corners without using topological edge states
Liting Wu, Mourad Oudich, Wenkang Cao +8
Routing and guiding acoustic waves around sharp corners without backscattering losses is of great interest in the acoustics community. Sonic crystals have been primarily utilized t…
Programmable calculus operations in electromagnetic space using space-time-coding metasurface
Hao Tian Shi, Lei Zhang, Rui Yuan Wu +7
With the rapid advancement of metasurfaces and the increasing demand for programmable metasurfaces to simplify information systems, wave-based computation using metasurfaces has em…
CrunchLLM: Multitask LLMs for Structured Business Reasoning and Outcome Prediction
Rabeya Tus Sadia, Qiang Cheng
Predicting the success of start-up companies, defined as achieving an exit through acquisition or IPO, is a critical problem in entrepreneurship and innovation research. Datasets s…
Smart Radio Environments
Gabriele Gradoni, Marco Di Renzo, Ana Diaz-Rubio +27
This Roadmap takes the reader on a journey through the research in electromagnetic wave propagation control via reconfigurable intelligent surfaces. Meta-surface modelling and desi…
Wireless Communications with Programmable Metasurface: Transceiver Design and Experimental Results
Wankai Tang, Xiang Li, Jun Yan Dai +4
Metasurfaces have drawn significant attentions due to their superior capability in tailoring electromagnetic waves with a wide frequency range, from microwave to visible light. Rec…
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale
Ang Li, Ben Liu, Bin Han +215
Efficient and scalable agentic intelligence requires models that can deliver both low-latency responses and strong reasoning capabilities while remaining practical to train, serve,…
Top-N Recommendation with Novel Rank Approximation
Zhao Kang, Qiang Cheng
The importance of accurate recommender systems has been widely recognized by academia and industry. However, the recommendation quality is still rather low. Recently, a linear spar…
GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture
Md Atik Ahamed, Andrew Cheng, Qiang Ye +1
Graph Neural Networks (GNNs) have demonstrated remarkable success in various applications, yet they often struggle to capture long-range dependencies (LRD) effectively. This paper…
Path Loss Modeling and Measurements for Reconfigurable Intelligent Surfaces in the Millimeter-Wave Frequency Band
Wankai Tang, Xiangyu Chen, Ming Zheng Chen +6
Reconfigurable intelligent surfaces (RISs) provide an interface between the electromagnetic world of wireless propagation environments and the digital world of information science.…
RES-PCA: A Scalable Approach to Recovering Low-rank Matrices
Chong Peng, Chenglizhao Chen, Zhao Kang +2
Robust principal component analysis (RPCA) has drawn significant attentions due to its powerful capability in recovering low-rank matrices as well as successful appplications in va…
Nonnegative Matrix Factorization with Local Similarity Learning
Chong Peng, Zhao Kang, Chenglizhao Chen +1
Existing nonnegative matrix factorization methods focus on learning global structure of the data to construct basis and coefficient matrices, which ignores the local structure that…
Top-N Recommendation on Graphs
Zhao Kang, Chong Peng, Ming Yang +1
Recommender systems play an increasingly important role in online applications to help users find what they need or prefer. Collaborative filtering algorithms that generate predict…
Phase transitions in the spin-1/2 Heisenberg antiferromagnet on the square lattice
Jie Qiao, Shu-Hao Zhang, Jing-Bo Qin +2
The nature of the intermediate ground-state phase in the spin-1/2 frustrated square lattice model has long been debated. Using cluster density matrix embedding theory, we investiga…
A class of line-transformed cloaks with easily-realizable constitutive parameters
Wei Xiang Jiang, Hui Feng Ma, Qiang Cheng +1
We propose a class of line-transformed cylindrical cloaks which have easily-realizable constitutive parameters. The scattering properties of such cloaks have been investigated nume…
Controllable Josephson diode effect, - transition and switch effect in the superconductor/two-dimensional Weyl nodal line semimetal/superconductor junctions
Wen-Ting Liu, Shu-Chang Zhao, Qiang Cheng +1
We study the Josephson effects in the superconductor/two-dimensional Weyl nodal line semimetal/superconductor junctions using the Green's function method. When the Rashba spin-orbi…
Automated Classification of Seizures against Nonseizures: A Deep Learning Approach
Xinghua Yao, Qiang Cheng, Guo-Qiang Zhang
In current clinical practice, electroencephalograms (EEG) are reviewed and analyzed by well-trained neurologists to provide supports for therapeutic decisions. The way of manual re…
Log-based Sparse Nonnegative Matrix Factorization for Data Representation
Chong Peng, Yiqun Zhang, Yongyong Chen +3
Nonnegative matrix factorization (NMF) has been widely studied in recent years due to its effectiveness in representing nonnegative data with parts-based representations. For NMF,…
Lie Group Auto-Encoder
Liyu Gong, Qiang Cheng
In this paper, we propose an auto-encoder based generative neural network model whose encoder compresses the inputs into vectors in the tangent space of a special Lie group manifol…
Mol-CADiff: Causality-Aware Autoregressive Diffusion for Molecule Generation
Md Atik Ahamed, Qiang Ye, Qiang Cheng
The design of novel molecules with desired properties is a key challenge in drug discovery and materials science. Traditional methods rely on trial-and-error, while recent deep lea…
Explainable Censored Learning: Finding Critical Features with Long Term Prognostic Values for Survival Prediction
Xinxing Wu, Chong Peng, Richard Charnigo +1
Interpreting critical variables involved in complex biological processes related to survival time can help understand prediction from survival models, evaluate treatment efficacy,…
Spin-triplet superconductorquantum anomalous Hall insulatorspin-triplet superconductor Josephson junctions: - transition, phase and switch effects
Qiang Cheng, Qing Yan, Qing-Feng Sun
We study the Josephson effect in spin-triplet superconductorquantum anomalous Hall insulatorspin-triplet superconductor junctions using the nonequilibrium Green function meth…
Evaluating Deep Learning Models for Breast Cancer Classification: A Comparative Study
Sania Eskandari, Ali Eslamian, Nusrat Munia +2
This study evaluates the effectiveness of deep learning models in classifying histopathological images for early and accurate detection of breast cancer. Eight advanced models, inc…
PROTECT: Protein circadian time prediction using unsupervised learning
Aram Ansary Ogholbake, Qiang Cheng
Circadian rhythms regulate the physiology and behavior of humans and animals. Despite advancements in understanding these rhythms and predicting circadian phases at the transcripti…
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification
Md Atik Ahamed, Qiang Cheng
Multivariate time series classification (TSC) is critical for various applications in fields such as healthcare and finance. While various approaches for TSC have been explored, im…
Illusion Media: Generating Virtual Objects Using Realizable Metamaterials
Wei Xiang Jiang, Hui Feng Ma, Qiang Cheng +1
We propose a class of optical transformation media, illusion media, which render the enclosed object invisible and generate one or more virtual objects as desired. We apply the pro…
Variational Nonlinear Kalman Filtering with Unknown Process Noise Covariance
Hua Lan, Jinjie Hu, Zengfu Wang +1
Motivated by the maneuvering target tracking with sensors such as radar and sonar, this paper considers the joint and recursive estimation of the dynamic state and the time-varying…
Tunable light flow control in valley photonic crystal waveguide
Xiao-Dong Chen, Fu-Long Shi, Huan Liu +5
The exploration of binary valley degree of freedom in topological photonic systems has inspired many intriguing optical phenomena such as photonic Hall effect, robust delay lines,…
Symmetry analysis of transport properties in helical superconductor junctions
Qiang Cheng, Yinhan Zhang, Kunhua Zhang +2
We study discrete symmetries satisfied by helical -wave superconductors with d-vectors or and transformations broug…
CausalGeD: Blending Causality and Diffusion for Spatial Gene Expression Generation
Rabeya Tus Sadia, Md Atik Ahamed, Qiang Cheng
The integration of single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) data is crucial for understanding gene expression in spatial context. Existing methods fo…
Helimagnetic Josephson diode effect
Qiang Cheng, Yu-Chen Zhuang, Qing-Feng Sun
We study the Josephson diode effect in the one-dimensional superconductor/helimagnet/superconductor junctions using the Green's function method. For the spin-singlet -wave pairi…
Modeling and Measurements for Multi-path Mitigation with Reconfigurable Intelligent Surfaces
Ruya Zhou, Xiangyu Chen, Wankai Tang +5
A reconfigurable intelligent surface (RIS) is capable of manipulating electromagnetic waves with its flexibly configurable unit cells, thus is an appealing technology to resist fas…
Structured Graph Learning for Clustering and Semi-supervised Classification
Zhao Kang, Chong Peng, Qiang Cheng +4
Graphs have become increasingly popular in modeling structures and interactions in a wide variety of problems during the last decade. Graph-based clustering and semi-supervised cla…
Reasoning-Aware Training for Time Series Forecasting
Md Atik Ahamed, Mihir Parmar, Palash Goyal +4
Time Series Foundation Models (TSFMs) excel at numerical forecasting but operate as black boxes lacking qualitative reasoning. Conversely, applying LLMs directly to temporal data i…
Intelligent Adaptive Metasurface in Complex Wireless Environments
Han Qing Yang, Jun Yan Dai, Hui Dong Li +10
The programmable metasurface is regarded as one of the most promising transformative technologies for next-generation wireless system applications. Due to the lack of effective per…
DepMicroDiff: Diffusion-Based Dependency-Aware Multimodal Imputation for Microbiome Data
Rabeya Tus Sadia, Qiang Cheng
Microbiome data analysis is essential for understanding host health and disease, yet its inherent sparsity and noise pose major challenges for accurate imputation, hindering downst…
Topology Design of Reconfigurable Intelligent Surfaces Based on Current Distribution and Otsu Image Segmentation
Zhen Zhang, Jun Wei Zhang, Hui Dong Li +6
Miniaturization of reconffgurable intelligent surface RIS) elements is a crucial trend in the development of RISs. It not only facilitates the attainment of multifunctional integra…
Physics-Informed Machine Learning for Efficient Reconfigurable Intelligent Surface Design
Zhen Zhang, Jun Hui Qiu, Jun Wei Zhang +4
Reconfigurable intelligent surface (RIS) is a two-dimensional periodic structure integrated with a large number of reflective elements, which can manipulate electromagnetic waves i…
MIMO Transmission through Reconfigurable Intelligent Surface: System Design, Analysis, and Implementation
Wankai Tang, Jun Yan Dai, Ming Zheng Chen +6
Reconfigurable intelligent surface (RIS) is a new paradigm that has great potential to achieve cost-effective, energy-efficient information modulation for wireless transmission, by…
Josephson effects in the spin-triplet superconductor/altermagnet/spin-triplet superconductor junctions: the detection of the intrinsic -vector
Ya-Ting Han, Li-Juan Chen, Wen-Ting Liu +2
We study the Josephson effects in the spin-triplet superconductor/altermagnet/spin-triplet superconductor junctions using the Green's function method. It is found that the current-…