Bingqiang Liu
Orcid: 0000-0003-1612-1416
According to our database1,
Bingqiang Liu
authored at least 39 papers
between 2006 and 2024.
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Bibliography
2024
A weighted two-stage sequence alignment framework to identify motifs from ChIP-exo data.
Patterns, March, 2024
Enhancer-driven gene regulatory networks inference from single-cell RNA-seq and ATAC-seq data.
Briefings Bioinform., 2024
Live Demonstration: A Reconfigurable, Energy-efficient and High-frame-rate EKF-SLAM Accelerator Based SoC Design for Autonomous Mobile Robot Applications.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
Live Demonstration: A High-frame-rate and Energy-efficient SIFT Feature Extraction Accelerator Based SoC Design for AMR Applications.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024
2023
Inference of disease-associated microbial gene modules based on metagenomic and metatranscriptomic data.
Comput. Biol. Medicine, October, 2023
An Energy-Efficient, Resource-Efficient and High Frame-Rate End-to-End Pedestrian Detector Using HOG-SVM for Intelligent Edge Devices.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023
2022
An Energy-Efficient SIFT Based Feature Extraction Accelerator for High Frame-Rate Video Applications.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022
Design and Analysis of Area and Energy Efficient Reconfigurable Cryptographic Accelerator for Securing IoT Devices.
Sensors, 2022
Efficient Hardware Accelerator Design of Non-Linear Optimization Correlative Scan Matching Algorithm in 2D LiDAR SLAM for Mobile Robots.
Sensors, 2022
Entropy Sources Based on Silicon Chips: True Random Number Generator and Physical Unclonable Function.
Entropy, 2022
Automatic pulmonary auscultation grading diagnosis of Coronavirus Disease 2019 in China with artificial intelligence algorithms: A cohort study.
Comput. Methods Programs Biomed., 2022
Energy-Efficient Intelligent Pulmonary Auscultation for Post COVID-19 Era Wearable Monitoring Enabled by Two-Stage Hybrid Neural Network.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022
2021
Expert Syst. Appl., 2021
An Energy-Efficient Deep Belief Network Processor Based on Heterogeneous Multi-Core Architecture With Transposable Memory and On-Chip Learning.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2021
A novel computational framework for genome-scale alternative transcription units prediction.
Briefings Bioinform., 2021
Briefings Bioinform., 2021
Briefings Bioinform., 2021
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021
A Reconfigurable Area and Energy Efficient Hardware Accelerator of Five High-order Operators for Vision Sensor Based Robot Systems.
Proceedings of the 2021 IEEE International Conference on Integrated Circuits, 2021
An energy-efficient and high-PSNR image denoising pre-processor based on optimized non-local means algorithm for real-time FHD video applications.
Proceedings of the 2021 IEEE International Conference on Integrated Circuits, 2021
A Reconfigurable Matrix Multiplication Coprocessor with High Area and Energy Efficiency for Visual Intelligent and Autonomous Mobile Robots.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2021
2020
IRIS3: integrated cell-type-specific regulon inference server from single-cell RNA-Seq.
Nucleic Acids Res., 2020
GTB-PPI: Predict Protein-protein Interactions Based on L1-regularized Logistic Regression and Gradient Tree Boosting.
Genom. Proteom. Bioinform., 2020
QUBIC2: a novel and robust biclustering algorithm for analyses and interpretation of large-scale RNA-Seq data.
Bioinform., 2020
2019
Computational Prediction of Sigma-54 Promoters in Bacterial Genomes by Integrating Motif Finding and Machine Learning Strategies.
IEEE ACM Trans. Comput. Biol. Bioinform., 2019
Protein-protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique.
Bioinform., 2019
MetaQUBIC: a computational pipeline for gene-level functional profiling of metagenome and metatranscriptome.
Bioinform., 2019
Interpretation of differential gene expression results of RNA-seq data: review and integration.
Briefings Bioinform., 2019
2018
An algorithmic perspective of de novo cis-regulatory motif finding based on ChIP-seq data.
Briefings Bioinform., 2018
2016
PLoS Comput. Biol., 2016
Intelligent reasoning and management decision making with grey rough influence diagrams.
Int. J. Intell. Comput. Cybern., 2016
Proceedings of the 12th International Conference on Natural Computation, 2016
2015
Revisiting operons: an analysis of the landscape of transcriptional units in E. coli.
BMC Bioinform., 2015
2014
Nucleic Acids Res., 2014
2013
An integrated toolkit for accurate prediction and analysis of <i>cis-</i>regulatory motifs at a genome scale.
Bioinform., 2013
2006
Int. J. Found. Comput. Sci., 2006