output
20142026
most citedChannel Estimation for RIS-Empowered Multi-User MISO Wireless Communications

725 citations

47 papers

cond-mat.dis-nn2026

A Grand-Canonical Solution to a Class of Random Optimization Problems

Izat B Baybusinov, Enrico M Fenoaltea, Zhen Han +1

We introduce a general framework to solve a class of combinatorial opti- mization problems, including the matching problem, the Traveling Salesman Problem, and also the minimum wei…

cond-mat.mes-hall2026★ 17 cited

Momentum-Resolved Tunneling Modulation Induced Giant Multistate Resistance in Antiferroelectric Multiferroic Junction

Wei Yang, Yibo Xu, Shen Li +6

Multiferroic tunnel junctions (MFTJs), integrating ferroelectric and ferromagnetic functionalities within a single nanoscale device, hold significant promise for non-volatile, mult…

cs.LG2026

Slack More, Predict Better: Proximal Relaxation for Probabilistic Latent Variable Model-based Soft Sensors

Zehua Zou, Yiran Ma, Yulong Zhang +5

Nonlinear Probabilistic Latent Variable Models (NPLVMs) are a cornerstone of soft sensor modeling due to their capacity for uncertainty delineation. However, conventional NPLVMs ar…

cond-mat.mes-hall2026

Absence of Orbital Hall Magnetoresistance in Nonmagnet/Ferromagnet Bilayers with Large Orbital Torque

Yumin Yang, Wenqi Xu, Na Lei +3

We report the absence of orbital Hall magnetoresistance (OMR) in nonmagnet/ferromagnet bilayers, challenging the general assumption that orbital transport mimics spin transport. De…

cond-mat.mtrl-sci2026

Raman scattering fingerprints of the charge density wave state in one-dimensional NbTe

Natalia Zawadzka, Cem Sevik, Zahir Muhammad +4

Charge-density waves (CDWs) are ordered quantum states of conduction electrons accompanied by periodic lattice distortions. Raman scattering (RS) spectroscopy is therefore well sui…

cond-mat.mtrl-sci2025★ 1 cited

TXL Fusion: A Hybrid Machine Learning Framework Integrating Chemical Heuristics and Large Language Models for Topological Materials Discovery

Arif Ullah, Rajibul Islam, Yangming Huang +4

Topological materials, including topological insulators (TIs) and topological semimetals (TSMs), offer promising platforms for quantum, spintronic, and low-dissipation electronic t…

eess.SP2025★ 6 cited

The Role of ISAC in 6G Networks: Enabling Next-Generation Wireless Systems

Muhammad Umar Farooq Qaisar, Weijie Yuan, Onur Günlü +6

The commencement of the sixth-generation (6G) wireless networks represents a fundamental shift in the integration of communication and sensing technologies to support next-generati…

cond-mat.mes-hall2025★ 3 cited

Josephson diode effect in nanowire-based Andreev molecules

Shang Zhu, Yiwen Ma, Jiangbo He +19

Superconducting systems exhibit non-reciprocal current transport under certain conditions of symmetry breaking, a phenomenon known as the superconducting diode effect. This effect…

cs.RO2025★ 38 cited

Information-Theoretic Graph Fusion with Vision-Language-Action Model for Policy Reasoning and Dual Robotic Control

Shunlei Li, Longsen Gao, Jin Wang +5

Teaching robots dexterous skills from human videos remains challenging due to the reliance on low-level trajectory imitation, which fails to generalize across object types, spatial…

cond-mat.mtrl-sci2025★ 3 cited

Robust Wannierization including magnetization and spin-orbit coupling via projectability disentanglement

Yuhao Jiang, Junfeng Qiao, Nataliya Paulish +3

Maximally-localized Wannier functions (MLWFs) are widely employed as an essential tool for calculating the physical properties of materials due to their localized nature and comput…

cond-mat.soft2025

Instabilities and turbulence in extensile swimmer suspensions

Purnima Jain, Navdeep Rana, Roberto Benzi +1

We study low Reynolds number turbulence in a suspension of polar, extensile, self-propelled inertial swimmers. We review the bend and splay mechanisms that destabilize an ordered f…

cs.AI2025

FocalAD: Local Motion Planning for End-to-End Autonomous Driving

Bin Sun, Boao Zhang, Jiayi Lu +8

In end-to-end autonomous driving,the motion prediction plays a pivotal role in ego-vehicle planning. However, existing methods often rely on globally aggregated motion features, ig…

cond-mat.stat-mech2025★ 1 cited

Microcanonical simulated annealing: Massively parallel Monte Carlo simulations with sporadic random-number generation

M. Bernaschi, C. Chilin, L. A. Fernandez +7

Numerical simulations of models and theories that describe complex systems such as spin glasses are becoming increasingly important. Beyond fundamental research, these computationa…

physics.soc-ph2025★ 11 cited

Evolution of cooperation and competition in multilayer networks

Wenqiang Zhu, Xin Wang, Chaoqian Wang +5

Cooperation and competition coexist and coevolve in natural and social systems. Cooperation generates resources, which in turn, drive non-cooperative competition to secure individu…

physics.app-ph2025

Nonlinearity Modulation of Auto-oscillations in Three-terminal Magnetic Tunnel Junctions

Zixi Wang, Wenlong Cai, Ao Du +5

Spin torque nano-oscillators (STNOs) hold encouraging promise for nanoscale microwave generators, modulators, and new types of intelligent computing. The nonlinearity, describing t…

eess.IV2025★ 2 cited

AVP-AP: Self-supervised Automatic View Positioning in 3D cardiac CT via Atlas Prompting

Xiaolin Fan, Yan Wang, Yingying Zhang +6

Automatic view positioning is crucial for cardiac computed tomography (CT) examinations, including disease diagnosis and surgical planning. However, it is highly challenging due to…

cs.CV2025★ 1 cited

Unveiling Hidden Vulnerabilities in Digital Human Generation via Adversarial Attacks

Zhiying Li, Yeying Jin, Fan Shen +9

Expressive human pose and shape estimation (EHPS) is crucial for digital human generation, especially in applications like live streaming. While existing research primarily focuses…

cond-mat.supr-con2025★ 9 cited

Superconductivity and a van Hove singularity confined to the surface of a topological semimetal

Md Shafayat Hossain, Rajibul Islam, Zi-Jia Cheng +16

The interplay between electronic topology and superconductivity is the subject of great current interest in condensed matter physics. For example, superconductivity induced on the…

cs.CV2025★ 3 cited

Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning

Liuqing Chen, Shuhong Xiao, Shixian Ding +2

Medical time series are often irregular and face significant missingness, posing challenges for data analysis and clinical decision-making. Existing methods typically adopt a singl…

cond-mat.dis-nn2025★ 3 cited

Critical exponents of the spin glass transition in a field at zero temperature

Maria Chiara Angelini, Saverio Palazzi, Giorgio Parisi +1

We analyze the spin glass transition in a field in finite dimension below the upper critical dimension directly at zero temperature using a recently introduced perturbative loo…

cs.RO2025★ 4 cited

SIGMA: Sheaf-Informed Geometric Multi-Agent Pathfinding

Shuhao Liao, Weihang Xia, Yuhong Cao +4

The Multi-Agent Path Finding (MAPF) problem aims to determine the shortest and collision-free paths for multiple agents in a known, potentially obstacle-ridden environment. It is t…

cond-mat.quant-gas2025

Doped resonating-valence-bond states: Robustness of the spin-ice phases in three-dimensional Rydberg arrays

Jingya Wang, Changle Liu, Yan-Cheng Wang +1

Rydberg blockade effect provides a convenient platform for simulating locally constrained many-body systems, such as quantum dimer models and quantum loop models, especially their…

cond-mat.str-el2024★ 6 cited

Quantum annealing of a frustrated magnet

Yuqian Zhao, Zhaohua Ma, Zhangzhen He +4

Quantum annealing, which involves quantum tunnelling among possible solutions, has state-of-the-art applications not only in quickly finding the lowest-energy configuration of a co…

cs.CR2024★ 1 cited

EVA-S3PC: Efficient, Verifiable, Accurate Secure Matrix Multiplication Protocol Assembly and Its Application in Regression

Shizhao Peng, Tianrui Liu, Tianle Tao +3

Efficient multi-party secure matrix multiplication is crucial for privacy-preserving machine learning, but existing mixed-protocol frameworks often face challenges in balancing sec…