Hairong Lv

Orcid: 0000-0003-1568-6861

According to our database1, Hairong Lv authored at least 42 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Parse Trees Guided LLM Prompt Compression.
CoRR, 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
Building digital life systems for future biology and medicine.
Quant. Biol., September, 2023

A distributed joint extraction framework for sedimentological entities and relations with federated learning.
Expert Syst. Appl., 2023

Federated Learning with Classifier Shift for Class Imbalance.
CoRR, 2023

Fossil Image Identification using Deep Learning Ensembles of Data Augmented Multiviews.
CoRR, 2023

Learning to Decompose Visual Features with Latent Textual Prompts.
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

scGraph: a graph neural network-based approach to automatically identify cell types.
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

Boost Neural Networks by Checkpoints.
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
DeepHistone: a deep learning approach to predicting histone modifications.
BMC Genom., 2019

Automatic localization and identification of mitochondria in cellular electron cryo-tomography using faster-RCNN.
BMC Bioinform., 2019

hicGAN infers super resolution Hi-C data with generative adversarial networks.
Bioinform., 2019

Automatically Structuring on Chinese Ultrasound Report of Cerebrovascular Diseases via Natural Language Processing.
IEEE Access, 2019

Blockchain-Based Incentive Announcement System for Internet of Vehicles.
Proceedings of the 2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2019

Rule-Based Method to Develop Question-Answer Dataset from Chest X-Ray Reports.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

Liver Histopathological Image Retrieval Based on Deep Metric Learning.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2012
Selling the Smart Grid-Part 2: How Consumers Will Interact with the Smart Grid.
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

Off-Line Signature Verification Using Graphical Model.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
Distribution maintenance scheduling using ant colony algorithm (ACA).
Proceedings of the 2009 IEEE/INFORMS International Conference on Service Operations, 2009

Customer clustering using semi-supervised geographic information.
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

Simulation based sales forecasting on retail small stores.
Proceedings of the 2008 Winter Simulation Conference, Global Gateway to Discovery, 2008

Emotion recognition based on pressure sensor keyboards.
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
One-Sided Fuzzy SVM Based on Sphere for Imbalanced Data Sets Learning.
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

On-Line Signature Verification Based on Dynamic Bayesian Network.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006

2005
Off-line Chinese signature verification based on support vector machines.
Pattern Recognit. Lett., 2005

Handwritten Digit Recognition with Kernel-Based LVQ Classifier in Input Space.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005


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