Search Results - "Yiu, Siu"
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Towards interpretable stock trend prediction through causal inference
Published in Expert systems with applications (15-03-2024)“…With the emergence of artificial intelligence, deep learning techniques have been widely deployed in forecasting stock markets. However, existing…”
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Redefining the structural motifs that determine RNA binding and RNA editing by pentatricopeptide repeat proteins in land plants
Published in The Plant journal : for cell and molecular biology (01-02-2016)“…Summary The pentatricopeptide repeat (PPR) proteins form one of the largest protein families in land plants. They are characterised by tandem 30–40 amino acid…”
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3
A federated learning incentive mechanism in a non-monopoly market
Published in Neurocomputing (Amsterdam) (14-06-2024)“…Federated learning, a privacy-preserving collaborative machine learning paradigm, has led to the proposal of various incentive mechanisms to encourage active…”
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SOAP2: an improved ultrafast tool for short read alignment
Published in Bioinformatics (01-08-2009)“…SOAP2 is a significantly improved version of the short oligonucleotide alignment program that both reduces computer memory usage and increases alignment speed…”
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5
HybridORAM: Practical oblivious cloud storage with constant bandwidth
Published in Information sciences (01-04-2019)“…Along with the popularity of outsourcing data to the cloud server, data privacy becomes a central consideration. Because encryption alone has been proved…”
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State-of-the-art optical-based physical adversarial attacks for deep learning computer vision systems
Published in Expert systems with applications (15-09-2024)“…Adversarial attacks can mislead deep learning models to make false predictions by implanting small perturbations to the original input that are imperceptible…”
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SOAPdenovo2: an empirically improved memory-efficient short-read de novo assembler
Published in Gigascience (27-12-2012)“…There is a rapidly increasing amount of de novo genome assembly using next-generation sequencing (NGS) short reads; however, several big challenges remain to…”
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Deep analysis and optimization of CARD antibiotic resistance gene discovery models
Published in BMC genomics (30-12-2019)“…Identification of antibiotic resistance genes from environmental samples has been a critical sub-domain of gene discovery which is directly connected to human…”
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A Statistical Physics Perspective: Understanding the Causality Behind Convolutional Neural Network Adversarial Vulnerability
Published in IEEE transaction on neural networks and learning systems (07-02-2024)“…The adversarial vulnerability of convolutional neural networks (CNNs) refers to the performance degradation of CNNs under adversarial attacks, leading to…”
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Uncovering Hidden Vulnerabilities in Convolutional Neural Networks through Graph-based Adversarial Robustness Evaluation
Published in Pattern recognition (01-11-2023)“…•Providing fine-grained analysis of adversarial robustness•Proposing a Graph of Patterns (GoP) modeling method with multi-relational graphs•Providing a graph…”
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Fair hierarchical secret sharing scheme based on smart contract
Published in Information sciences (06-02-2021)“…•This paper presents the first decentralized secret sharing scheme using the Blockchain.•Leverage the smart contract to force all participants to implement the…”
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Practical fully leakage resilient signatures with auxiliary inputs
Published in Future generation computer systems (01-04-2023)“…Digital signatures are essential techniques used in the real world, especially for validating the authenticity of a given message. The security of the digital…”
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SOAP3: ultra-fast GPU-based parallel alignment tool for short reads
Published in Bioinformatics (Oxford, England) (15-03-2012)“…SOAP3 is the first short read alignment tool that leverages the multi-processors in a graphic processing unit (GPU) to achieve a drastic improvement in speed…”
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14
Predicting and understanding comprehensive drug-drug interactions via semi-nonnegative matrix factorization
Published in BMC systems biology (11-04-2018)“…Drug-drug interactions (DDIs) always cause unexpected and even adverse drug reactions. It is important to identify DDIs before drugs are used in the market…”
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Compound–protein interaction prediction by deep learning: Databases, descriptors and models
Published in Drug discovery today (01-05-2022)“…•Massive compound–protein interaction entries are available for DL.•Diverse compound fingerprints and varied protein descriptors are fundamental for DL.•LSTM,…”
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ThinORAM: Towards Practical Oblivious Data Access in Fog Computing Environment
Published in IEEE transactions on services computing (01-07-2020)“…Oblivious RAM (ORAM) is important for applications that require hiding of access patterns. However, most of existing implementations of ORAM are very…”
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De novo assembly and characterization of Camelina sativa transcriptome by paired-end sequencing
Published in BMC genomics (05-03-2013)“…Biofuels extracted from the seeds of Camelina sativa have recently been used successfully as environmentally friendly jet-fuel to reduce greenhouse gas…”
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Editorial: Security and Privacy in Computing and Communications
Published in Mobile networks and applications (01-08-2021)Get full text
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Detecting drug communities and predicting comprehensive drug–drug interactions via balance regularized semi-nonnegative matrix factorization
Published in Journal of cheminformatics (08-04-2019)“…Background Because drug–drug interactions (DDIs) may cause adverse drug reactions or contribute to complex-disease treatments, it is important to identify DDIs…”
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COPE: an accurate k-mer-based pair-end reads connection tool to facilitate genome assembly
Published in Bioinformatics (15-11-2012)“…The boost of next-generation sequencing technologies provides us with an unprecedented opportunity for elucidating genetic mysteries, yet the short-read length…”
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