221 citations
- Beijing Normal UniversityCN15 papers
- Dezhou UniversityCN9 papers
- Nanjing University of Aeronautics and AstronauticsCN9 papers
- Chinese Academy of SciencesCN8 papers
- Beijing Computational Science Research CenterCN6 papers
- Southeast UniversityCN6 papers
- Toronto Metropolitan UniversityCA6 papers
- Soochow UniversityCN5 papers
- Zhejiang UniversityCN5 papers
- Nanjing University of Posts and TelecommunicationsCN4 papers
- National University of SingaporeSG4 papers
- Peking UniversityCN4 papers
94 papers
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…
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…
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…
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…
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…
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…