Fuhai Li
Orcid: 0000-0002-3773-146X
According to our database1,
Fuhai Li
authored at least 60 papers
between 2005 and 2024.
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Bibliography
2024
sc2MeNetDrug: A computational tool to uncover inter-cell signaling targets and identify relevant drugs based on single cell RNA-seq data.
PLoS Comput. Biol., January, 2024
Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer.
CoRR, 2024
2023
Universal Normalization Enhanced Graph Representation Learning for Gene Network Prediction.
CoRR, 2023
Towards Arbitrarily Expressive GNNs in O(n<sup>2</sup>) Space by Rethinking Folklore Weisfeiler-Lehman.
CoRR, 2023
Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
A Directly Connected OTA Measurement for Performance Evaluation of 5G Adaptive Beamforming Terminals.
IEEE Internet Things J., 2022
Interpreting mechanism of Synergism of drug combinations using attention based hierarchical graph pooling.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
2021
Predicting mortality risk for preterm infants using deep learning models with time-series vital sign data.
npj Digit. Medicine, 2021
Computational analysis to repurpose drugs for COVID-19 based on transcriptional response of host cells to SARS-CoV-2.
BMC Medical Informatics Decis. Mak., 2021
Predicting Anticancer Drug Response With Deep Learning Constrained by Signaling Pathways.
Frontiers Bioinform., 2021
Interpretable Drug Synergy Prediction with Graph Neural Networks for Human-AI Collaboration in Healthcare.
CoRR, 2021
Investigating the relevance of major signaling pathways in cancer survival using a biologically meaningful deep learning model.
BMC Bioinform., 2021
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021
2020
IEEE Trans. Instrum. Meas., 2020
IEEE Trans. Instrum. Meas., 2020
IEEE Internet Things J., 2020
Predicting Tumor Cell Response to Synergistic Drug Combinations Using a Novel Simplified Deep Learning Model.
Proceedings of the AMIA 2020, 2020
2019
OTA Measurement for IoT Wireless Device Performance Evaluation: Challenges and Solutions.
IEEE Internet Things J., 2019
2018
Synergistic Drug Combination Prediction by Integrating Multi-omics Data in Deep Learning Models.
CoRR, 2018
Diffusion mapping of drug targets on disease signaling network elements reveals drug combination strategies.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018
Proceedings of the 3rd International Conference on Multimedia and Image Processing, 2018
2017
BMC Syst. Biol., 2017
Evaluation and simulation of detection effectiveness of airborne early warning radar.
Proceedings of the 2017 IEEE International Conference on Signal Processing, 2017
Proceedings of the 2017 IEEE International Conference on Signal Processing, 2017
2016
DrugMoaMiner: A computational tool for mechanism of action discovery and personalized drug sensitivity prediction.
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016
2015
IEEE J. Biomed. Health Informatics, 2015
Harmonic Estimation Using Symmetrical Interpolation FFT Based on Triangular Self-Convolution Window.
IEEE Trans. Ind. Informatics, 2015
METEOR: An Enterprise Health Informatics Environment to Support Evidence-Based Medicine.
IEEE Trans. Biomed. Eng., 2015
Accurate segmentation of touching cells in multi-channel microscopy images with geodesic distance based clustering.
Neurocomputing, 2015
2014
Approximate Algorithm for Fast Calculating Voltage Unbalance Factor of Three-Phase Power System.
IEEE Trans. Ind. Informatics, 2014
Bioinform., 2014
An Integrated Analytic Pipeline for Identifying and Predicting Genetic Interactions based on Perturbation Data from High Content Double RNAi Screening.
Proceedings of the Annual Conference of the Extreme Science and Engineering Discovery Environment, 2014
2013
BMC Syst. Biol., 2013
A Novel Geodesic Distance Based Clustering Approach to Delineating Boundaries of Touching Cells.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013
2012
A 3-dimentional multiscale model to simulate tumor progression in response to interactions between cancer stem cells and tumor microenvironmental factors.
Proceedings of the 6th IEEE International Conference on Systems Biology, 2012
2011
Automated Nuclear Segmentation of Coherent Anti-Stokes Raman Scattering Microscopy Images by Coupling Superpixel Context Information with Artificial Neural Networks.
Proceedings of the Machine Learning in Medical Imaging - Second International Workshop, 2011
Coupling Oriented Hidden Markov Random Field Model with Local Clustering for Segmenting Blood Vessels and Measuring Spatial Structures in Images of Tumor Microenvironment.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2011
2010
Multiple Nuclei Tracking Using Integer Programming for Quantitative Cancer Cell Cycle Analysis.
IEEE Trans. Medical Imaging, 2010
Reconstruction of GPR Signals by Spectral Analysis of the SVD Components of the Data Matrix.
IEEE Geosci. Remote. Sens. Lett., 2010
BMC Bioinform., 2010
Optimal Live Cell Tracking for Cell Cycle Study Using Time-Lapse Fluorescent Microscopy Images.
Proceedings of the Machine Learning in Medical Imaging, First International Workshop, 2010
2009
IEEE Trans. Inf. Technol. Biomed., 2009
An image score inference system for RNAi genome-wide screening based on fuzzy mixture regression modeling.
J. Biomed. Informatics, 2009
A Better Method than Tail-fitting Algorithm for Jitter Separation Based on Gaussian Mixture Model.
J. Electron. Test., 2009
Bioinform., 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Integrating Multi-Scale Blob/Curvilinear Detector Techniques and Multi-Level Sets for Automated Segmentation of Stem Cell Images.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
2008
Workflow and Methods of High-Content Time-Lapse Analysis for Quantifying Intracellular Calcium Signals.
Neuroinformatics, 2008
Using iterative cluster merging with improved gap statistics to perform online phenotype discovery in the context of high-throughput RNAi screens.
BMC Bioinform., 2008
Novel cell segmentation and online SVM for cell cycle phase identification in automated microscopy.
Bioinform., 2008
Proceedings of the 2008 International Symposium on Computer Science and Computational Technology, 2008
Proceedings of the International Conference on Computer Science and Software Engineering, 2008
2007
Study of CuO Nanoparticle-induced Cell Death by High Content Cellular Fluorescence Imaging and Analysis.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2007), 2007
Novel Cell Segmentation and Online Learning Algorithms for Cell Phase Identification in Automated Time-lapse Microscopy.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Proceedings of the Computational Intelligence and Security, International Conference, 2005