output
20112025
most citedChannel Estimation for Movable-Antenna MIMO Systems Via Tensor Decomposition

143 citations

54 papers

cond-mat.mtrl-sci2025

Tuning Carrier Type and Density in Highly Conductive and Infrared-Transparent (Bi1-xSbx)2Te3 films

Xiangren Zeng, Shenjin Zhang, Zhiheng Li +7

Infrared transparent conductors have long been sought due to their broad optoelectronic applications in the infrared wavelength range. However, the search for ideal materials has b…

cs.CV2025★ 2 cited

Motion Estimation for Multi-Object Tracking using KalmanNet with Semantic-Independent Encoding

Jian Song, Wei Mei, Yunfeng Xu +4

Motion estimation is a crucial component in multi-object tracking (MOT). It predicts the trajectory of objects by analyzing the changes in their positions in consecutive frames of…

gr-qc2025★ 1 cited

Non-perturbative Quantum Dynamics on Embedded Submanifolds: From Geometric Mass to Higgs Potentials

Li Wang, Run Cheng, Jun Wang

We establish a quantum dynamics framework for curved submanifolds embedded in higher-dimensional spaces. Through rigorous dimensional reduction, we derive the first complete Schröd…

cs.NE2025

Governing Strategic Dynamics: Equilibrium Stabilization via Divergence-Driven Control

Hao Shi, Xi Li, Fangfang Xie

Black-box coevolution in mixed-motive games is often undermined by opponent-drift non-stationarity and noisy rollouts, which distort progress signals and can induce cycling, Red-Qu…

cs.LG2025★ 1 cited

Fast Adaptive Anti-Jamming Channel Access via Deep Q Learning and Coarse-Grained Spectrum Prediction

Jianshu Zhang, Xiaofu Wu, Junquan Hu

This paper investigates the anti-jamming channel access problem in complex and unknown jamming environments, where the jammer could dynamically adjust its strategies to target diff…

astro-ph.CO2024★ 2 cited

Estimating Cosmological Parameters and Reconstructing Hubble Constant with Artificial Neural Networks: A Test with covariance matrix and mock H(z)

Jie-feng Chen, Tong-Jie Zhang, Peng He +2

In this work, we reconstruct the H(z) based on observational Hubble data with Artificial Neural Network, then estimate the cosmological parameters and the Hubble constant. The trai…