254 citations · 1.1k across the 96 of their papers we have counts for
24 papers · 1 filter
Quasi-normal modes of the Einstein-Maxwell-aether Black Hole
Wei Xiong, Peng Liu, Cheng-Yong Zhang +1
We study the quasi-normal modes of the charged scalar perturbations in the background of the Einstein-Maxwell-aether black hole through three methods (WKB method, continued fractio…
A Comprehensive and Cross-Platform Test Suite for Memory Safety -- Towards an Open Framework for Testing Processor Hardware Supported Security Extensions
Wei Song, Jiameng Ying, Sihao Shen +3
Memory safety remains a critical and widely violated property in reality. Numerous defense techniques have been proposed and developed but most of them are not applied or enabled b…
Dynamical scalarization in Einstein-Maxwell-dilaton theory
Cheng-Yong Zhang, Peng Liu, Yunqi Liu +2
We study the process of fully nonlinear dynamical scalarization starting from a charged black hole or a naked singularity in asymptotically flat spacetime in the Einstein-Maxwell-d…
CADA: Multi-scale Collaborative Adversarial Domain Adaptation for Unsupervised Optic Disc and Cup Segmentation
Peng Liu, Charlie T. Tran, Bin Kong +1
The diversity of retinal imaging devices poses a significant challenge: domain shift, which leads to performance degradation when applying the deep learning models trained on one d…
Cyber-Physical Taint Analysis in Multi-stage Manufacturing Systems (MMS): A Case Study
Tao Liu, Bowen Yang, Qi Li +3
Information flows are intrinsic properties of an multi-stage manufacturing systems (MMS). In computer security, a basic information flow tracking technique is dynamic taint analysi…
Towards Better Data Augmentation using Wasserstein Distance in Variational Auto-encoder
Zichuan Chen, Peng Liu
VAE, or variational auto-encoder, compresses data into latent attributes, and generates new data of different varieties. VAE based on KL divergence has been considered as an effect…
Reflected Entropy in Double Holography
Yi Ling, Peng Liu, Yuxuan Liu +3
Recently, the reflected entropy is proposed in holographic approach to describe the entanglement of a bipartite quantum system in a mixed state, which is identified as the area of…
Entanglement Wedge Minimum Cross-Section for Holographic Aether Gravity
Chong-Ye Chen, Wei Xiong, Chao Niu +2
We study the entanglement wedge cross-section (EWCS) in holographic Aether gravity theory, a gravity theory with Lorentz symmetry violation while keeping the general covariance int…
Entanglement Wedge Minimum Cross-Section in Holographic Axion Gravity Theories
Fang-Jing Cheng, Zhe Yang, Chao Niu +2
We study the mixed state entanglement properties in two holographic axion models by examining the behavior of the entanglement wedge minimum cross section (EWCS), and comparing it…
Bayesian spectral density approach for identification and uncertainty quantification of bridge section's flutter derivatives operated in turbulent flow
Xiaolei Chu, Wei Cui, Peng Liu +2
This study presents a Bayesian spectral density approach for identification and uncertainty quantification of flutter derivatives of bridge sections utilizing buffeting displacemen…
Extremes of Gaussian random fields with non-additive dependence structure
Long Bai, Krzysztof Debicki, Peng Liu
We derive exact asymptotics of for a centered Gaussian field $X(\mathbf{t}),~…
An explainable two-dimensional single model deep learning approach for Alzheimer's disease diagnosis and brain atrophy localization
Fan Zhang, Bo Pan, Pengfei Shao +4
Early and accurate diagnosis of Alzheimer's disease (AD) and its prodromal period mild cognitive impairment (MCI) is essential for the delayed disease progression and the improved…
Feature-Filter: Detecting Adversarial Examples through Filtering off Recessive Features
Hui Liu, Bo Zhao, Minzhi Ji +3
Deep neural networks (DNNs) are under threat from adversarial example attacks. The adversary can easily change the outputs of DNNs by adding small well-designed perturbations to in…
How well do you know your summarization datasets?
Priyam Tejaswin, Dhruv Naik, Pengfei Liu
State-of-the-art summarization systems are trained and evaluated on massive datasets scraped from the web. Despite their prevalence, we know very little about the underlying charac…
SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization
Yixin Liu, Pengfei Liu
In this paper, we present a conceptually simple while empirically powerful framework for abstractive summarization, SimCLS, which can bridge the gap between the learning objective…
Importance Weighted Adversarial Discriminative Transfer for Anomaly Detection
Cangning Fan, Fangyi Zhang, Peng Liu +5
Previous transfer methods for anomaly detection generally assume the availability of labeled data in source or target domains. However, such an assumption is not valid in most real…
Development of a magnet power supply with a common-mode cancellation method based on automatic calibration of driving pulses
Yonggao Zhang, Chengkai Chai, Peng Liu +1
Based on conventional H-bridge topologies of magnet power supplies, a high-frequency common-mode equivalent model was established. It is pointed out that the two phase legs have co…
Principled Exploration via Optimistic Bootstrapping and Backward Induction
Chenjia Bai, Lingxiao Wang, Lei Han +4
One principled approach for provably efficient exploration is incorporating the upper confidence bound (UCB) into the value function as a bonus. However, UCB is specified to deal w…
Tackling Imbalanced Data in Cybersecurity with Transfer Learning: A Case with ROP Payload Detection
Haizhou Wang, Peng Liu
In recent years, deep learning gained proliferating popularity in the cybersecurity application domain, since when being compared to traditional machine learning, it usually involv…
CTSpine1K: A Large-Scale Dataset for Spinal Vertebrae Segmentation in Computed Tomography
Yang Deng, Ce Wang, Yuan Hui +12
Spine-related diseases have high morbidity and cause a huge burden of social cost. Spine imaging is an essential tool for noninvasively visualizing and assessing spinal pathology.…
Evolution of Anti-de Sitter black holes in Einstein-Maxwell-dilaton theory
Cheng-Yong Zhang, Peng Liu, Yunqi Liu +2
We study the nonlinear evolution of the spherical symmetric black holes under a small neutral scalar field perturbation in Einstein-Maxwell-dilaton theory with coupling function $f…
Out-of-Scope Domain and Intent Classification through Hierarchical Joint Modeling
Pengfei Liu, Kun Li, Helen Meng
User queries for a real-world dialog system may sometimes fall outside the scope of the system's capabilities, but appropriate system responses will enable smooth processing throug…
Dynamic Properties of Two-Dimensional Latticed Holographic System
Peng Liu, Jian-Pin Wu
We study the anisotropic properties of dynamical quantities: direct current (DC) conductivity, butterfly velocity, and charge diffusion. The anisotropy plays a crucial role in dete…
Dynamical charged black hole spontaneous scalarization in Anti-de Sitter spacetimes
Cheng-Yong Zhang, Peng Liu, Yunqi Liu +2
We study the fully nonlinear dynamics of black hole spontaneous scalarizations in Einstein-Maxwell scalar theory with coupling function , which can transform usua…