387 citations · 858 across the 17 of their papers we have counts for
17 papers
Low-Interception Waveform: To Prevent the Recognition of Spectrum Waveform Modulation via Adversarial Examples
Haidong Xie, Jia Tan, Xiaoying Zhang +5
Deep learning is applied to many complex tasks in the field of wireless communication, such as modulation recognition of spectrum waveforms, because of its convenience and efficien…
Adversarial Jamming for a More Effective Constellation Attack
Haidong Xie, Yizhou Xu, Yuanqing Chen +4
The common jamming mode in wireless communication is band barrage jamming, which is controllable and difficult to resist. Although this method is simple to implement, it is obvious…
Improving the Deconvolution of Spectrum at Finite Temperature via Neural Network
Haidong Xie, Xueshuang Xiang, Yuanqing Chen
In the study of condensed matter physics, spectral information plays an important role for understand the mechanism of materials. However, it is difficult to obtain the spectrum di…
Adversarial YOLO: Defense Human Detection Patch Attacks via Detecting Adversarial Patches
Nan Ji, YanFei Feng, Haidong Xie +2
The security of object detection systems has attracted increasing attention, especially when facing adversarial patch attacks. Since patch attacks change the pixels in a restricted…
Blind Adversarial Training: Balance Accuracy and Robustness
Haidong Xie, Xueshuang Xiang, Naijin Liu +1
Adversarial training (AT) aims to improve the robustness of deep learning models by mixing clean data and adversarial examples (AEs). Most existing AT approaches can be grouped int…
Blind Adversarial Pruning: Balance Accuracy, Efficiency and Robustness
Haidong Xie, Lixin Qian, Xueshuang Xiang +1
With the growth of interest in the attack and defense of deep neural networks, researchers are focusing more on the robustness of applying them to devices with limited memory. Thus…
Statistical inference and feasibility determination: a nonasymptotic approach
Ying Zhu
We develop non-asymptotically justified methods for hypothesis testing about the dimensional coefficients in (possibly nonlinear) regression models. Given a function $h…
Reorthonormalization of Chebyshev matrix product states for dynamical correlation functions
H. D. Xie, R. Z. Huang, X. J. Han +5
The Chebyshev expansion offers a numerically efficient and easy-implement algorithm for evaluating dynamic correlation functions using matrix product states (MPS). In this approach…
Analytic continuation with Padé decomposition
Xing-Jie Han, Hai-Jun Liao, Hai-Dong Xie +3
The ill-posed analytic continuation problem for Green's functions or self-energies can be done using the Padé rational polynomial approximation. However, to extract accurate result…
Phase transition of the q-state clock model: duality and tensor renormalization
Jing Chen, Hai-Jun Liao, Hai-Dong Xie +6
We investigate the critical behavior and the duality property of the ferromagnetic -state clock model on the square lattice based on the tensor-network formalism. From the entan…
Optimized contraction scheme for tensor-network states
Z. Y. Xie, H. J. Liao, R. Z. Huang +4
In the tensor-network framework, the expectation values of two-dimensional quantum states are evaluated by contracting a double-layer tensor network constructed from initial and fi…
Equivalence of restricted Boltzmann machines and tensor network states
Jing Chen, Song Cheng, Haidong Xie +2
The restricted Boltzmann machine (RBM) is one of the fundamental building blocks of deep learning. RBM finds wide applications in dimensional reduction, feature extraction, and rec…
A generalized Lanczos method for systematic optimization of tensor network states
Rui-Zhen Huang, Hai-Jun Liao, Zhi-Yuan Liu +5
We propose a generalized Lanczos method to generate the many-body basis states of quantum lattice models using tensor-network states (TNS). The ground-state wave function is repres…
Gapless spin-liquid ground state in the kagome antiferromagnet
H. J. Liao, Z. Y. Xie, J. Chen +5
Frustrated quantum magnetism has moved to the forefront of physics research, posing fundamental questions concerning quantum disordered states, entanglement, topology and the natur…
Self-consistent spin-wave analysis of the 1/3 magnetization plateau in the kagome antiferromagnet
Zhong-Chao Wei, Hai-Jun Liao, Jing Chen +6
We propose a modified spin-wave theory to study the 1/3 magnetization plateau of the antiferromagnetic Heisenberg model on the kagome lattice. By the self-consistent inclusion of q…
Anisotropic electron-phonon coupling in the spinel oxide superconductor
Ge He, Yanli Jia, Xingyuan Hou +12
Among hundreds of spinel oxides, LiTi2O4 (LTO) is the only one that exhibits superconductivity (Tc ~13 K). Although the general electron-phonon coupling is still the main mechanism…
Heisenberg antiferromagnet on the Husimi lattice
H. J. Liao, Z. Y. Xie, J. Chen +4
We perform a systematic study of the antiferromagnetic Heisenberg model on the Husimi lattice using numerical tensor-network methods based on Projected Entangled Simplex States (PE…