b'Peng Liu'

research

∙ 09/09/2023

A Data Middleware for Obtaining Trusted Price Data for Blockchain

As a trusted middleware connecting the blockchain and the real world, th...

0 Youquan Xian, et al. ∙

research

∙ 09/03/2023

Game Theory in Distributed Systems Security: Foundations, Challenges, and Future Directions

Many of our critical infrastructure systems and personal computing syste...

0 Mustafa Abdallah, et al. ∙

research

∙ 08/14/2023

IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse

Humans have the ability to reuse previously learned policies to solve ne...

0 Siyuan Li, et al. ∙

research

∙ 08/10/2023

Double-chain Constraints for 3D Human Pose Estimation in Images and Videos

Reconstructing 3D poses from 2D poses lacking depth information is parti...

0 Hongbo Kang, et al. ∙

research

∙ 07/24/2023

ChatGPT for Software Security: Exploring the Strengths and Limitations of ChatGPT in the Security Applications

ChatGPT, as a versatile large language model, has demonstrated remarkabl...

0 Zhilong Wang, et al. ∙

research

∙ 07/21/2023

Sensing Aided Covert Communications: Turning Interference into Allies

In this paper, we investigate the realization of covert communication in...

0 Xinyi Wang, et al. ∙

research

∙ 07/12/2023

SoK: Comparing Different Membership Inference Attacks with a Comprehensive Benchmark

Membership inference (MI) attacks threaten user privacy through determin...

0 Jun Niu, et al. ∙

research

∙ 07/10/2023

FedDCT: A Dynamic Cross-Tier Federated Learning Scheme in Wireless Communication Networks

With the rapid proliferation of Internet of Things (IoT) devices and the...

0 Peng Liu, et al. ∙

research

∙ 06/14/2023

C^3PS: Context-aware Conditional Cross Pseudo Supervision for Semi-supervised Medical Image Segmentation

Semi-supervised learning (SSL) methods, which can leverage a large amoun...

5 Peng Liu, et al. ∙

research

∙ 05/08/2023

Behavior Contrastive Learning for Unsupervised Skill Discovery

In reinforcement learning, unsupervised skill discovery aims to learn di...

4 Rushuai Yang, et al. ∙

research

∙ 04/26/2023

Non-rigid Point Cloud Registration for Middle Ear Diagnostics with Endoscopic Optical Coherence Tomography

Purpose: Middle ear infection is the most prevalent inflammatory disease...

3 Peng Liu, et al. ∙

research

∙ 04/17/2023

An Ethereum-compatible blockchain that explicates and ensures design-level safety properties for smart contracts

Smart contracts are crucial elements of decentralized technologies, but ...

0 Nikolaj Bjorner, et al. ∙

research

∙ 03/21/2023

Indeterminate Probability Neural Network

We propose a new general model called IPNN - Indeterminate Probability N...

1 Tao Yang, et al. ∙

research

∙ 03/11/2023

Approaching Shannon's One-Time Pad: Metrics, Architectures, and Enabling Technologies

The rapid development of advanced computing technologies such as quantum...

0 Li Sun, et al. ∙

research

∙ 02/07/2023

Pre-train, Prompt and Recommendation: A Comprehensive Survey of Language Modelling Paradigm Adaptations in Recommender Systems

The emergency of Pre-trained Language Models (PLMs) has achieved tremend...

0 Peng Liu, et al. ∙

research

∙ 01/20/2023

Which Features are Learned by CodeBert: An Empirical Study of the BERT-based Source Code Representation Learning

The Bidirectional Encoder Representations from Transformers (BERT) were ...

1 Lan Zhang, et al. ∙

research

∙ 12/23/2022

Recommending on Graphs: A Comprehensive Review from Data Perspective

Recent advances in graph-based learning approaches have demonstrated the...

0 Lemei Zhang, et al. ∙

research

∙ 12/08/2022

Modern Statistical Models and Methods for Estimating Fatigue-Life and Fatigue-Strength Distributions from Experimental Data

Engineers and scientists have been collecting and analyzing fatigue data...

0 William Q. Meeker, et al. ∙

research

∙ 12/02/2022

Fast Detection of Burst Jamming for Delay-Sensitive Internet-of-Things Applications

In this paper, we investigate the design of a burst jamming detection me...

0 Shao-Di Wang, et al. ∙

research

∙ 11/11/2022

Remapped Cache Layout: Thwarting Cache-Based Side-Channel Attacks with a Hardware Defense

As cache-based side-channel attacks become serious security problems, va...

0 Wei Song, et al. ∙

research

∙ 10/24/2022

IDRL: Identifying Identities in Multi-Agent Reinforcement Learning with Ambiguous Identities

Multi-agent reinforcement learning(MARL) is a prevalent learning paradig...

3 Shijie Han, et al. ∙

research

∙ 09/10/2022

OmDet: Language-Aware Object Detection with Large-scale Vision-Language Multi-dataset Pre-training

Advancing object detection to open-vocabulary and few-shot transfer has ...

15 Tiancheng Zhao, et al. ∙

research

∙ 08/16/2022

What Your Firmware Tells You Is Not How You Should Emulate It: A Specification-Guided Approach for Firmware Emulation

Emulating firmware of microcontrollers is challenging due to the lack of...

0 Wei Zhou, et al. ∙

research

∙ 08/10/2022

KiPA22 Report: U-Net with Contour Regularization for Renal Structures Segmentation

Three-dimensional (3D) integrated renal structures (IRS) segmentation is...

5 Kangqing Ye, et al. ∙

research

∙ 07/29/2022

Robust IRS-aided Secrecy Transmission with Location Optimization

In this paper, we propose a robust secrecy transmission scheme for intel...

0 Jiale Bai, et al. ∙

research

∙ 07/07/2022

Learning-based Autonomous Channel Access in the Presence of Hidden Terminals

We consider the problem of autonomous channel access (AutoCA), where a g...

1 Yulin Shao, et al. ∙

research

∙ 06/12/2022

RSSD: Defend against Ransomware with Hardware-Isolated Network-Storage Codesign and Post-Attack Analysis

Encryption ransomware has become a notorious malware. It encrypts user d...

0 Benjamin Reidys, et al. ∙

research

∙ 05/24/2022

Phased Progressive Learning with Coupling-Regulation-Imbalance Loss for Imbalanced Classification

Deep neural networks generally perform poorly with datasets that suffer ...

4 Liang Xu, et al. ∙

research

∙ 05/19/2022

Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters

The ever-growing model size and scale of compute have attracted increasi...

8 Yang Xiang, et al. ∙

research

∙ 05/05/2022

Balancing Multi-Domain Corpora Learning for Open-Domain Response Generation

Open-domain conversational systems are assumed to generate equally good ...

8 Yujie Xing, et al. ∙

research

∙ 04/08/2022

Temporal and spatial evolution of power-law in the numbers of COVID-19 pandemic

This work systematically conducts a data analysis based on the numbers o...

0 Peng Liu, et al. ∙

research

∙ 02/23/2022

Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning

Offline Reinforcement Learning (RL) aims to learn policies from previous...

5 Chenjia Bai, et al. ∙

research

∙ 01/20/2022

Bayesian Nonparametric Mixtures of Exponential Random Graph Models for Ensembles of Networks

Ensembles of networks arise in various fields where multiple independent...

0 Sa Ren, et al. ∙

research

∙ 01/04/2022

Towards Understanding and Harnessing the Effect of Image Transformation in Adversarial Detection

Deep neural networks (DNNs) are threatened by adversarial examples. Adve...

8 Hui Liu, et al. ∙

research

∙ 12/21/2021

Multi-Modality Distillation via Learning the teacher's modality-level Gram Matrix

In the context of multi-modality knowledge distillation research, the ex...

10 Peng Liu, et al. ∙

research

∙ 12/10/2021

Association study between gene expression and multiple phenotypes in omics applications of complex diseases

Studying phenotype-gene association can uncover mechanism of diseases an...

0 Yujia Li, et al. ∙

research

∙ 11/28/2021

A Comprehensive and Cross-Platform Test Suite for Memory Safety – Towards an Open Framework for Testing Processor Hardware Supported Security Extensions

Memory safety remains a critical and widely violated property in reality...

0 Wei Song, et al. ∙

research

∙ 10/20/2021

Dynamic Bottleneck for Robust Self-Supervised Exploration

Exploration methods based on pseudo-count of transitions or curiosity of...

9 Chenjia Bai, et al. ∙

research

∙ 10/07/2021

MGPSN: Motion-Guided Pseudo Siamese Network for Indoor Video Head Detection

Head detection in real-world videos is an important research topic in co...

2 Kailai Sun, et al. ∙

research

∙ 10/05/2021

CADA: Multi-scale Collaborative Adversarial Domain Adaptation for Unsupervised Optic Disc and Cup Segmentation

The diversity of retinal imaging devices poses a significant challenge: ...

4 Peng Liu, et al. ∙

research

∙ 09/30/2021

Towards Better Data Augmentation using Wasserstein Distance in Variational Auto-encoder

VAE, or variational auto-encoder, compresses data into latent attributes...

2 Zichuan Chen, et al. ∙

research

∙ 09/27/2021

Cyber-Physical Taint Analysis in Multi-stage Manufacturing Systems (MMS): A Case Study

Information flows are intrinsic properties of an multi-stage manufacturi...

0 Tao Liu, et al. ∙

research

∙ 09/24/2021

Finding Taint-Style Vulnerabilities in Linux-based Embedded Firmware with SSE-based Alias Analysis

Although the importance of using static analysis to detect taint-style v...

0 Kai Cheng, et al. ∙

research

∙ 09/14/2021

Exploration in Deep Reinforcement Learning: A Comprehensive Survey

Deep Reinforcement Learning (DRL) and Deep Multi-agent Reinforcement Lea...

10 Tianpei Yang, et al. ∙

research

∙ 08/27/2021

Identifying Non-Control Security-Critical Data in Program Binaries with a Deep Neural Model

As control-flow protection methods get widely deployed it is difficult f...

0 Zhilong Wang, et al. ∙

research

∙ 08/03/2021

Bayesian spectral density approach for identification and uncertainty quantification of bridge section's flutter derivatives operated in turbulent flow

This study presents a Bayesian spectral density approach for identificat...

0 Xiaolei Chu, et al. ∙

research

∙ 07/28/2021

An explainable two-dimensional single model deep learning approach for Alzheimer's disease diagnosis and brain atrophy localization

Early and accurate diagnosis of Alzheimer's disease (AD) and its prodrom...

26 Fan Zhang, et al. ∙

research

∙ 07/19/2021

Feature-Filter: Detecting Adversarial Examples through Filtering off Recessive Features

Deep neural networks (DNNs) are under threat from adversarial example at...

14 Hui Liu, et al. ∙

research

∙ 07/16/2021

Automatic Firmware Emulation through Invalidity-guided Knowledge Inference (Extended Version)

Emulating firmware for microcontrollers is challenging due to the tight ...

0 Wei Zhou, et al. ∙

research

∙ 06/18/2021

Deep Learning for Intelligent Wireless MAC: Exploiting Real Data Sampled on 2.4GHz Frequency Band

The existing medium access control (MAC) protocol of Wi-Fi networks (i.e...

0 Jiantao Xin, et al. ∙

Peng Liu

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