Hairong Lv
Orcid: 0000-0003-1568-6861
According to our database1,
Hairong Lv
authored at least 42 papers
between 2005 and 2024.
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Bibliography
2024
Molecular Graph Representation Learning Integrating Large Language Models with Domain-specific Small Models.
CoRR, 2024
Label Informed Contrastive Pretraining for Node Importance Estimation on Knowledge Graphs.
CoRR, 2024
2023
Quant. Biol., September, 2023
A distributed joint extraction framework for sedimentological entities and relations with federated learning.
Expert Syst. Appl., 2023
Fossil Image Identification using Deep Learning Ensembles of Data Augmented Multiviews.
CoRR, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
AggEnhance: Aggregation Enhancement by Class Interior Points in Federated Learning with Non-IID Data.
ACM Trans. Intell. Syst. Technol., 2022
ChineseTR: A weakly supervised toponym recognition architecture based on automatic training data generator and deep neural network.
Trans. GIS, 2022
Cell type annotation of single-cell chromatin accessibility data via supervised Bayesian embedding.
Nat. Mach. Intell., 2022
CS-CO: A Hybrid Self-Supervised Visual Representation Learning Method for H&E-stained Histopathological Images.
Medical Image Anal., 2022
Bioinform., 2022
Learning Extremely Lightweight and Robust Model with Differentiable Constraints on Sparsity and Condition Number.
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
cfDNApipe: a comprehensive quality control and analysis pipeline for cell-free DNA high-throughput sequencing data.
Bioinform., November, 2021
DeepCAPE: A Deep Convolutional Neural Network for the Accurate Prediction of Enhancers.
Genom. Proteom. Bioinform., 2021
DISMIR: Deep learning-based noninvasive cancer detection by integrating DNA sequence and methylation information of individual cell-free DNA reads.
Briefings Bioinform., 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Gradient Boosting Forest: a Two-Stage Ensemble Method Enabling Federated Learning of GBDTs.
Proceedings of the Neural Information Processing - 28th International Conference, 2021
2019
BMC Genom., 2019
Automatic localization and identification of mitochondria in cellular electron cryo-tomography using faster-RCNN.
BMC Bioinform., 2019
Bioinform., 2019
Automatically Structuring on Chinese Ultrasound Report of Cerebrovascular Diseases via Natural Language Processing.
IEEE Access, 2019
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
2012
IEEE Consumer Electron. Mag., 2012
Selling the Smart Grid - Part 1: Why Consumers Must Buy In for the Smart Grid to Succeed.
IEEE Consumer Electron. Mag., 2012
2010
Multi-index and self-approximate-optimal operation for a smart electrical power grid.
IBM J. Res. Dev., 2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010
2009
Proceedings of the 2009 IEEE/INFORMS International Conference on Service Operations, 2009
Proceedings of the 2009 IEEE/INFORMS International Conference on Service Operations, 2009
Off-line signature verification based on deformable grid partition and Hidden Markov Models.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009
2008
Comments on "An analytical algorithm for generalized low-rank approximations of matrices".
Pattern Recognit., 2008
Proceedings of the 2008 Winter Simulation Conference, Global Gateway to Discovery, 2008
Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008
Data Model Design of Strategic Analysis Services for Specific Customer Oriented Industries.
Proceedings of the 2008 IEEE International Conference on Services Computing (SCC 2008), 2008
2007
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007
2006
Handwritten Digit Recognition Using Low Rank Approximation Based Competitive Neural Network.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Proceedings of the Advances in Natural Computation, Second International Conference, 2006
2005
Pattern Recognit. Lett., 2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005