Explanipedia

Position-aware and decision-guided domain incremental learning framework for multi-view kidney stone detection Open

Wenfeng Xu, Cong Lai, Zefeng Mo, Cheng Liu, Maoyuan Li , et al. · 2025

An artificial intelligence and blockchain technology-based data management framework for multicenter randomized controlled trials Open

Dongyuan Yun, Xiaohang Wu, Xi Chen, Yahan Yang, Yuanjun Shang , et al. · 2025

Privacy Protection Method for Blockchain Transactions Based on the Stealth Address and the Note Mechanism Open

Zeming Wei, Jiawen Fang, Zhicheng Hong, Yu Zhou, Shansi Ma , et al. · 2024

Blockchain is a distributed ledger technology that possesses characteristics such as decentralization, tamper resistance, and programmability. However, while blockchain ensures transaction openness and transparency, transaction privacy is …

KD_ConvNeXt: knowledge distillation-based image classification of lung tumor surgical specimen sections Open

Zhaoliang Zheng, Henian Yao, Chengchuang Lin, Kaixin Huang, Luoxuan Chen , et al. · 2023

Introduction: Lung cancer is currently among the most prevalent and lethal cancers in the world in terms of incidence and fatality rates. In clinical practice, identifying the specific subtypes of lung cancer is essential in diagnosing and…

A Robust Sharding-Enabled Blockchain with Efficient Hashgraph Mechanism for MANETs Open

Ruilin Lai, Gansen Zhao, Yale He, Zhihao Hou · 2023

Blockchain establishes security and trust in mobile ad hoc networks (MANETs). Due to the decentralized and opportunistic communication characteristics of MANETs, hashgraph consensus is more applicable to the MANET-based blockchain. Shardin…

Neural-FEBI: Accurate Function Identification in Ethereum Virtual Machine Bytecode Open

Jiahao He, Shuangyin Li, Xinming Wang, Shing-Chi Cheung, Gansen Zhao , et al. · 2023

Millions of smart contracts have been deployed onto the Ethereum platform, posing potential attack subjects. Therefore, analyzing contract binaries is vital since their sources are unavailable, involving identification comprising function …

Neural-FEBI: Accurate function identification in Ethereum Virtual Machine bytecode Open

Jiahao He, Shuangyin Li, Xinming Wang, Shing-Chi Cheung, Gansen Zhao , et al. · 2023

Millions of smart contracts have been deployed onto the Ethereum platform,\nposing potential attack subjects. Therefore, analyzing contract binaries is\nvital since their sources are unavailable, involving identification comprising\nfuncti…

Research on the Data Authenticity Verification Method Based Onblockchain and Zk-Snarks in Data Trading Open

Zeming Wei, Junlang Zhang, Shansi Ma, Yu Zhou, Zhicheng Hong , et al. · 2023

Blockchain for achieving accountable outsourcing computations in edge computing Open

Ruilin Lai, Gansen Zhao · 2022

Edge Computing as a paradigm, provides services of outsourcing computations to a large number of end users. Since edge nodes are trustless, the integration of sampling-based replication calculation and the blockchain is used to verify the …

A novel EEG-based major depressive disorder detection framework with two-stage feature selection Open

Yujie Li, Yingshan Shen, Xiaomao Fan, Xingxian Huang, Haibo Yu , et al. · 2022

A context-enhanced sentence representation learning method for close domains with topic modeling Open

Shuangyin Li, Weiwei Chen, Yu Zhang, Gansen Zhao, Rong Pan , et al. · 2022

Sentence representation approaches have been widely used and proven to be effective in many text modeling tasks and downstream applications. Many recent proposals are available on learning sentence representations based on deep neural fram…

KeepEdge: A Knowledge Distillation Empowered Edge Intelligence Framework for Visual Assisted Positioning in UAV Delivery Open

Haoyu Luo, Tianxiang Chen, Xuejun Li, Shuangyin Li, Chong Zhang , et al. · 2022

The Unmanned Aerial Vehicles (UAVs) delivery service is being increasingly used in logistics. However, it is challenging for a UAV to precisely identify the position for parcel delivering if it is only aided by the GPS, especially in some …

Predicting Prognostic Effects of Acupuncture for Depression Using the Electroencephalogram Open

Xiaomao Fan, Xingxian Huang, Yang Zhao, Lin Wang, Haibo Yu , et al. · 2022

Depression is considered to be a major public health problem with significant implications for individuals and society. Patients with depression can be with complementary therapies such as acupuncture. Predicting the prognostic effects of …

bi-directional Bayesian probabilistic model based hybrid grained semantic matchmaking for Web service discovery Open

Shuangyin Li, Haoyu Luo, Gansen Zhao, Mingdong Tang, Xiao Liu · 2022

Web service discovery is a fundamental task in service-oriented architectures which searches for suitable web services based on users’ goals and preferences. In this paper, we present a novel service discovery approach that can support use…

Blockchain for Achieving Accountable Outsourcing Computations in Edge Computing Open

Ruilin Lai, Gansen Zhao · 2022

A Survey on the Efficiency, Reliability, and Security of Data Query in Blockchain Systems Open

Qizhi Zhang, Yale He, Ruilin Lai, Zhihao Hou, Gansen Zhao · 2022

Should Traffic Matrix Prediction Be Performed Entirely? Open

Weiping Zheng, Yiyong Li, Minli Hong, Xiaomao Fan, Gansen Zhao · 2022

Should Traffic Matrix Prediction Be Performed Entirely? Open

Weiping Zheng, Yiyong Li, Minli Hong, Xiaomao Fan, Gansen Zhao · 2022

Clustering by Errors: A Self-Organized Multitask Learning Method for Acoustic Scene Classification Open

Weiping Zheng, Zhenyao Mo, Gansen Zhao · 2021

Acoustic scene classification (ASC) tries to inference information about the environment using audio segments. The inter-class similarity is a significant issue in ASC as acoustic scenes with different labels may sound quite similar. In th…

Environmental sound analysis with mixup based multitask learning and cross-task fusion Open

Weiping Zheng, Dacan Jiang, Gansen Zhao · 2021

Environmental sound analysis is currently getting more and more attentions. In the domain, acoustic scene classification and acoustic event classification are two closely related tasks. In this letter, a two-stage method is proposed for th…

Deep Learning for Diagnosis and Classification of Obstructive Sleep Apnea: A Nasal Airflow-Based Multi-Resolution Residual Network Open

Huijun Yue, Yu Lin, Yitao Wu, Yongquan Wang, Yun Li , et al. · 2021

Our results indicated that OSASS can automatically diagnose and classify OSA using signals from a single-channel nasal pressure airflow, which is consistent with polysomnographic technologists' findings. Thus, OSASS holds promise for clini…

Adaptive cross-contextual word embedding for word polysemy with unsupervised topic modeling Open

Shuangyin Li, Rong Pan, Haoyu Luo, Xiao Liu, Gansen Zhao · 2021

Because of its efficiency, word embedding has been widely used in many natural language processing and text modeling tasks. It aims to represent each word by a vector so such that the geometry between these vectors can capture the semantic…

A novel chromosome cluster types identification method using ResNeXt WSL model Open

Chengchuang Lin, Gansen Zhao, Aihua Yin, Zhirong Yang, Li Guo , et al. · 2020

Predicting Prognostic Effects of Acupuncture for Depression Using Electroencephalogram Open

Xiaomao Fan, Xingxian Huang, Yang Zhao, Lin Wang, Hai-bo Yu , et al. · 2020

Background: Depression is considered to be a major public health problem with significant implications for individuals and society. Patients with depression can be with complementary therapies such as acupuncture. Predicting the prognostic…

Basis Path Coverage Criteria for Smart Contract Application Testing Open

Xinming Wang, Zhijian Xie, Jiahao He, Gansen Zhao, Ruihua Nie · 2019

The widespread recognition of the smart contracts has established their importance in the landscape of next generation blockchain technology. However, writing a correct smart contract is notoriously difficult. Moreover, once a state-changi…

CNNs-based Acoustic Scene Classification using Multi-Spectrogram Fusion and Label Expansions Open

Weiping Zheng, Zhenyao Mo, Xiaotao Xing, Gansen Zhao · 2018

Spectrograms have been widely used in Convolutional Neural Networks based schemes for acoustic scene classification, such as the STFT spectrogram and the MFCC spectrogram, etc. They have different time-frequency characteristics, contributi…

Developing a Machine Learning System for Identification of Severe Hand, Foot, and Mouth Disease from Electronic Medical Record Data Open

Guangjian Liu, Yi Xu, Xinming Wang, Xutian Zhuang, Huiying Liang , et al. · 2017

PARecommender: a pattern-based system for route recommendation Open

Feiyi Tang, Jia Zhu, Yang Cao, Sanli Ma, Yulong Chen , et al. · 2016

Widely adoption of GPS-enabled devices generates massive trajectory data every minute. The trajectory data can generate meaningful traffic patterns. In this demo, we present a system called PARecommender, which predicts traffic conditions …

Special Section on Advanced Technologies for Homeland and Cyber Defense Open

Ilsun You, Gansen Zhao, Ram Krishnan · 2016

Large-scale topic community mining based on distributed nonnegative matrix factorization Open

Hai Liu, Atiao Yang, Gansen Zhao, Chaobo He, Yong Tang , et al. · 2016

Mining topic community in complex networks is of great applicable value.However, most of the existing methods cannot effectively mine topic community in large-scale complex networks because of their weak scalabilities.To rectify this probl…

Gansen Zhao YOU? Author Swipe