Jun Bai

Orcid: 0000-0003-3349-5161

According to our database1, Jun Bai authored at least 75 papers between 2003 and 2025.

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

Timeline

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Bibliography

2025
Crash risk prediction using sparse collision data: Granger causal inference and graph convolutional network approaches.
Expert Syst. Appl., 2025

2024
Soft Multiprototype Clustering Algorithm via Two-Layer Semi-NMF.
IEEE Trans. Fuzzy Syst., April, 2024

Multisource Soft Labeling and Hard Negative Sampling for Retrieval Distractor Ranking.
IEEE Trans. Learn. Technol., 2024

Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking.
CoRR, 2024

Uncovering the Mechanism of Hepatotoxiciy of PFAS Targeting L-FABP Using GCN and Computational Modeling.
CoRR, 2024

Exploring Latent Space for Generating Peptide Analogs Using Protein Language Models.
CoRR, 2024

A Comprehensive Survey on Machine Learning Driven Material Defect Detection: Challenges, Solutions, and Future Prospects.
CoRR, 2024

Unsupervised feature correlation model to predict breast abnormal variation maps in longitudinal mammograms.
Comput. Medical Imaging Graph., 2024

Weakly-supervised deep learning model for prostate cancer diagnosis and Gleason grading of histopathology images.
Biomed. Signal Process. Control., 2024

Prompt Based CVAE Data Augmentation for Few-Shot Intention Detection.
Proceedings of the Knowledge Science, Engineering and Management, 2024

Logarithm of Maximum Posterior Evidence: Advanced Model Selection for Text Classification.
Proceedings of the Knowledge Science, Engineering and Management, 2024

TELLMe: Teaching and Exploiting Large Language Models for Model Selection in Text Retrieval.
Proceedings of the International Joint Conference on Neural Networks, 2024

FedInverse: Evaluating Privacy Leakage in Federated Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Research on Breast Lesion Localization and Diagnosis Based on Knowledge-Driven and Data-Driven Approach.
Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023
A Sparse Framework for Robust Possibilistic K-Subspace Clustering.
IEEE Trans. Fuzzy Syst., April, 2023

Goal-oriented conditional variational autoencoders for proactive and knowledge-aware conversational recommender system.
Comput. Speech Lang., April, 2023

Enhancing Biomedical ReQA With Adversarial Hard In-Batch Negative Samples.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Adversarial Knowledge Distillation Based Biomedical Factoid Question Answering.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Improving Biomedical ReQA With Consistent NLI-Transfer and Post-Whitening.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Unsupversied feature correlation model to predict breast abnormal variation maps in longitudinal mammograms.
CoRR, 2023

A Deep Learning Approach for Ventricular Arrhythmias Classification using Microcontroller.
Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

Subgraph-Oriented Heterogeneous Drug-Target Interaction Identification.
Proceedings of the International Joint Conference on Neural Networks, 2023

Solving Math Word Problems Following Logically Consistent Template.
Proceedings of the International Joint Conference on Neural Networks, 2023

Multi-task Question Generation Based Data Augmentation for Biomedical Answer Generation.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Weak Positive Sampling and Soft Smooth Labeling for Distractor Generation Data Augmentation.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Permutation Invariant Training for Paraphrase Identification.
Proceedings of the IEEE International Conference on Acoustics, 2023

How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

3D Biological/Biomedical Image Registration with enhanced Feature Extraction and Outlier Detection.
Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022
Toward a Brain-Inspired Developmental Neural Network Based on Dendritic Spine Dynamics.
Neural Comput., 2022

Combining multi-view ensemble and surrogate lagrangian relaxation for real-time 3D biomedical image segmentation on the edge.
Neurocomputing, 2022

Quantitative estimation of intracellular oxidative stress in human tissues.
Briefings Bioinform., 2022

Improving Variational Autoencoders with Density Gap-based Regularization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

KnowReQA: A Knowledge-aware Retrieval Question Answering System.
Proceedings of the Knowledge Science, Engineering and Management, 2022

Asymmetric Neighboring Context Modeling for Knowledge Graph Embedding.
Proceedings of the Knowledge Science, Engineering and Management, 2022

Graph and Question Interaction Aware Graph2Seq Model for Knowledge Base Question Generation.
Proceedings of the International Joint Conference on Neural Networks, 2022

FedEWA: Federated Learning with Elastic Weighted Averaging.
Proceedings of the International Joint Conference on Neural Networks, 2022

Semi-supervised classification of disease prognosis using CR images with clinical data structured graph.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

Applying graph convolution neural network in digital breast tomosynthesis for cancer classification.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

2021
A Local Outlier Factor-Based Detection of Copy Number Variations From NGS Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review.
Medical Image Anal., 2021

The Evaluation Indicators of X-ray Radiographs for Femoroacetabular Impingement Syndrome.
J. Medical Imaging Health Informatics, 2021

Detection and inference of interspersed duplicated insertions from paired-end reads.
Digit. Signal Process., 2021

Single-cell classification using graph convolutional networks.
BMC Bioinform., 2021

Paragraph Level Multi-Perspective Context Modeling for Question Generation.
Proceedings of the IEEE International Conference on Acoustics, 2021

Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
SVSR: A Program to Simulate Structural Variations and Generate Sequencing Reads for Multiple Platforms.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

CONDEL: Detecting Copy Number Variation and Genotyping Deletion Zygosity from Single Tumor Samples Using Sequence Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

A Deep Learning Approach to Detect Anomaly in Software-Defined Network.
Proceedings of the 12th International Conference on Advanced Infocomm Technology, 2020

2019
ATBdiscrimination: An in Silico Tool for Identification of Active Tuberculosis Disease Based on Routine Blood Test and T-SPOT.TB Detection Results.
J. Chem. Inf. Model., 2019

Training a V1 Like Layer Using Gabor Filters in Convolutional Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Semantic Labeling in Very High Resolution Images via a Self-Cascaded Convolutional Neural Network.
CoRR, 2018

A Brain-Inspired Decision Making Model Based on Top-Down Biasing of Prefrontal Cortex to Basal Ganglia and Its Application in Autonomous UAV Explorations.
Cogn. Comput., 2018

Toward Robot Self-Consciousness (II): Brain-Inspired Robot Bodily Self Model for Self-Recognition.
Cogn. Comput., 2018

2017
Secure variable-capacity self-recovery watermarking scheme.
Multim. Tools Appl., 2017

Deceive Mouse-Dynamics-Based Authentication Model via Movement Simulation.
Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017

Structured binary feature extraction for hyperspectral imagery classification.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Efficient cloud detection in remote sensing images using edge-aware segmentation network and easy-to-hard training strategy.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Context-aware cascade network for semantic labeling in VHR image.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Multiple kernel fuzzy discriminant analysis for hyperspectral imaging classification.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
Performance analysis of a joint estimator for timing, frequency, and phase with continuous-phase modulation.
IET Commun., 2016

A cascade structure of aircraft detection in high resolution remote sensing images.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Towards Robot Self-consciousness (I): Brain-Inspired Robot Mirror Neuron System Model and Its Application in Mirror Self-recognition.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2016

2015
Semisupervised Pair-Wise Band Selection for Hyperspectral Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

基于进化深度学习的特征提取算法 (Feature Extraction Algorithm Based on Evolutionary Deep Learning).
计算机科学, 2015

一种基于EMD和RVM的自相似网络流量预测模型 (Prediction Model of Network Traffic Based on EMD and RVM).
计算机科学, 2015

Improved strategies and adaptive capability allocation algorithm for query result caching.
Int. J. Web Eng. Technol., 2015

Super-resolution reconstruction using graph Laplacian penalization.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Image retrieval based on color-spatial histograms.
Proceedings of the 2nd International Conference on Systems and Informatics, 2014

2013
A Graph-Based Classification Method for Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens., 2013

Feasibility analysis of big log data real time search based on Hbase and ElasticSearch.
Proceedings of the Ninth International Conference on Natural Computation, 2013

2012
Classification oriented semi-supervised band selection for hyperspectral images.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2006
Cost analysis on renewable full-service warranties for multi-component systems.
Eur. J. Oper. Res., 2006

2005
Repair-limit risk-free warranty policies with imperfect repair.
IEEE Trans. Syst. Man Cybern. Part A, 2005

2004
Discounted warranty cost of minimally repaired series systems.
IEEE Trans. Reliab., 2004

2003
An Architecture for Efficient, Flexible Enterprise System Integration.
Proceedings of the International Conference on Internet Computing, 2003


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