Jun Bai

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

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Crash risk prediction using sparse collision data: Granger causal inference and graph convolutional network approaches.

Junjie Hu, Jun Bai, Jiayu Yang, Jaeyoung Jay Lee

Expert Syst. Appl., 2025

2024

Soft Multiprototype Clustering Algorithm via Two-Layer Semi-NMF.

Shan Zeng, Xiangjun Duan, Jun Bai, Wei Tao, Kun Hu, Yuanyan Tang

IEEE Trans. Fuzzy Syst., April, 2024

Multisource Soft Labeling and Hard Negative Sampling for Retrieval Distractor Ranking.

Jiayun Wang, Wenge Rong, Jun Bai, Zhiwei Sun, Yuanxin Ouyang, Zhang Xiong

IEEE Trans. Learn. Technol., 2024

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

Lucas Jividen, Tibo Duran, Xi-Zhi Niu, Jun Bai

CoRR, 2024

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

Po-Yu Liang, Xueting Huang, Tibo Duran, Andrew J. Wiemer, Jun Bai

CoRR, 2024

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

Jun Bai, Di Wu, Tristan Shelley, Peter Schubel, David Twine, John Russell, Xuesen Zeng, Ji Zhang

CoRR, 2024

Unsupervised feature correlation model to predict breast abnormal variation maps in longitudinal mammograms.

Jun Bai, Annie Jin, Madison Adams, Clifford Yang, Sheida Nabavi

Comput. Medical Imaging Graph., 2024

Weakly-supervised deep learning model for prostate cancer diagnosis and Gleason grading of histopathology images.

Mohammad Mahdi Behzadi, Mohammad Madani, Hanzhang Wang, Jun Bai, Ankit Bhardwaj, Anna Tarakanova, Harold Yamase, Ga Hie Nam, Sheida Nabavi

Biomed. Signal Process. Control., 2024

Prompt Based CVAE Data Augmentation for Few-Shot Intention Detection.

Junhao Xue, Chuantao Yin, Chen Li, Jun Bai, Hui Chen, Wenge Rong

Proceedings of the Knowledge Science, Engineering and Management, 2024

Logarithm of Maximum Posterior Evidence: Advanced Model Selection for Text Classification.

Zhiwei Sun, Jun Bai, Zhenzi Li, Chen Li, Wenge Rong, Yuanxin Ouyang, Zhang Xiong

Proceedings of the Knowledge Science, Engineering and Management, 2024

TELLMe: Teaching and Exploiting Large Language Models for Model Selection in Text Retrieval.

Zhenzi Li, Jun Bai, Zhuofan Chen, Chen Li, Yuanxin Ouyang, Wenge Rong

Proceedings of the International Joint Conference on Neural Networks, 2024

FedInverse: Evaluating Privacy Leakage in Federated Learning.

Di Wu, Jun Bai, Yiliao Song, Junjun Chen, Wei Zhou, Yong Xiang, Atul Sajjanhar

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Jun Bai, Zhuofan Chen, Zhenzi Li, Hanhua Hong, Jianfei Zhang, Chen Li, Chenghua Lin, Wenge Rong

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Research on Breast Lesion Localization and Diagnosis Based on Knowledge-Driven and Data-Driven Approach.

Lintao Song, Jianqiang Li, Xiaoling Liu, Yiming Liu, Tianbao Ma, Jun Bai, Linna Zhao, Qing Zhao, Xi Xu

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023

A Sparse Framework for Robust Possibilistic K-Subspace Clustering.

Shan Zeng, Xiangjun Duan, Hao Li, Jun Bai, Yuanyan Tang, Zhiyong Wang

IEEE Trans. Fuzzy Syst., April, 2023

Goal-oriented conditional variational autoencoders for proactive and knowledge-aware conversational recommender system.

Cen Yan, Jun Bai, Yanmeng Wang, Wenge Rong, Yuanxin Ouyang, Zhang Xiong

Comput. Speech Lang., April, 2023

Enhancing Biomedical ReQA With Adversarial Hard In-Batch Negative Samples.

Bo Zhao, Jun Bai, Chen Li, Jianfei Zhang, Wenge Rong, Yuanxin Ouyang, Zhang Xiong

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Adversarial Knowledge Distillation Based Biomedical Factoid Question Answering.

Jun Bai, Chuantao Yin, Jianfei Zhang, Yanmeng Wang, Yi Dong, Wenge Rong, Zhang Xiong

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Improving Biomedical ReQA With Consistent NLI-Transfer and Post-Whitening.

Jun Bai, Chuantao Yin, Zimeng Wu, Jianfei Zhang, Yanmeng Wang, Guanyi Jia, Wenge Rong, Zhang Xiong

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

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

Jun Bai, Annie Jin, Madison Adams, Clifford Yang, Sheida Nabavi

CoRR, 2023

A Deep Learning Approach for Ventricular Arrhythmias Classification using Microcontroller.

Ya-sine Agrignan, Shanglin Zhou, Jun Bai, Sahidul Islam, Sheida Nabavi, Mimi Xie, Caiwen Ding

Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

Subgraph-Oriented Heterogeneous Drug-Target Interaction Identification.

Xiaofeng Zhang, Zeyu Huang, Jun Bai, Wenge Rong, Yuanxin Ouyang, Zhang Xiong

Proceedings of the International Joint Conference on Neural Networks, 2023

Solving Math Word Problems Following Logically Consistent Template.

Zeyu Huang, Xiaofeng Zhang, Jun Bai, Wenge Rong, Yuanxin Ouyang, Zhang Xiong

Proceedings of the International Joint Conference on Neural Networks, 2023

Multi-task Question Generation Based Data Augmentation for Biomedical Answer Generation.

Junting Zhao, Jun Bai, Wenge Rong, Yuanxin Ouyang, Zhang Xiong

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Weak Positive Sampling and Soft Smooth Labeling for Distractor Generation Data Augmentation.

Jiayun Wang, Jun Bai, Wenge Rong, Yuanxin Ouyang, Zhang Xiong

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Permutation Invariant Training for Paraphrase Identification.

Jun Bai, Chuantao Yin, Hanhua Hong, Jianfei Zhang, Chen Li, Yanmeng Wang, Wenge Rong

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.

Jun Bai, Xiaofeng Zhang, Chen Li, Hanhua Hong, Xi Xu, Chenghua Lin, Wenge Rong

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.

Sahand Hamzehei, Jun Bai, Gianna Raimondi, Rebecca Tripp, Linnaea Ostroff, Sheida Nabavi

Proceedings of the 14th ACM International Conference on Bioinformatics, 2023

2022

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

Feifei Zhao, Yi Zeng, Jun Bai

Neural Comput., 2022

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

Shanglin Zhou, Xiaowei Xu, Jun Bai, Mikhail A. Bragin

Neurocomputing, 2022

Quantitative estimation of intracellular oxidative stress in human tissues.

Jun Bai, Renbo Tan, Zheng An, Ying Xu

Briefings Bioinform., 2022

Improving Variational Autoencoders with Density Gap-based Regularization.

Jianfei Zhang, Jun Bai, Chenghua Lin, Yanmeng Wang, Wenge Rong

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.

Chuanrui Wang, Jun Bai, Xiaofeng Zhang, Cen Yan, Yuanxin Ouyang, Wenge Rong, Zhang Xiong

Proceedings of the Knowledge Science, Engineering and Management, 2022

Asymmetric Neighboring Context Modeling for Knowledge Graph Embedding.

Yuanhao Hu, Yuanxin Ouyang, Jun Bai, Chuanrui Wang, Wenge Rong, Zhang Xiong

Proceedings of the Knowledge Science, Engineering and Management, 2022

Graph and Question Interaction Aware Graph2Seq Model for Knowledge Base Question Generation.

Chen Li, Jun Bai, Chuanarui Wang, Yuanhao Hu, Wenge Rong, Zhang Xiong

Proceedings of the International Joint Conference on Neural Networks, 2022

FedEWA: Federated Learning with Elastic Weighted Averaging.

Jun Bai, Atul Sajjanhar, Yong Xiang, Xiaojun Tong, Shan Zeng

Proceedings of the International Joint Conference on Neural Networks, 2022

Semi-supervised classification of disease prognosis using CR images with clinical data structured graph.

Jun Bai, Bingjun Li, Sheida Nabavi

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.

Jun Bai, Annie Jin, Andre Jin, Tianyu Wang, Clifford Yang, Sheida Nabavi

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.

Xiguo Yuan, Junping Li, Jun Bai, Jianing Xi

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review.

Jun Bai, Russell Posner, Tianyu Wang, Clifford Yang, Sheida Nabavi

Medical Image Anal., 2021

The Evaluation Indicators of X-ray Radiographs for Femoroacetabular Impingement Syndrome.

Jun Bai, Xingzhen Hu, Tao Tan, Teng Hua, Wenping Xia, Crystal Jones, Agnes Williams

J. Medical Imaging Health Informatics, 2021

Detection and inference of interspersed duplicated insertions from paired-end reads.

Xiguo Yuan, Wenlu Xie, Hongzhi Yang, Jun Bai, Ruwu Yang, Guojun Liu, Haque A. K. Alvi

Digit. Signal Process., 2021

Single-cell classification using graph convolutional networks.

Tianyu Wang, Jun Bai, Sheida Nabavi

BMC Bioinform., 2021

Paragraph Level Multi-Perspective Context Modeling for Question Generation.

Jun Bai, Wenge Rong, Feiyu Xia, Yanmeng Wang, Yuanxin Ouyang, Zhang Xiong

Proceedings of the IEEE International Conference on Acoustics, 2021

Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval.

Yanmeng Wang, Jun Bai, Ye Wang, Jianfei Zhang, Wenge Rong, Zongcheng Ji, Shaojun Wang, Jing Xiao

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.

Xiguo Yuan, Meihong Gao, Jun Bai, Junbo Duan

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

CONDEL: Detecting Copy Number Variation and Genotyping Deletion Zygosity from Single Tumor Samples Using Sequence Data.

Xiguo Yuan, Jun Bai, Junying Zhang, Liying Yang, Junbo Duan, Yaoyao Li, Meihong Gao

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

A Deep Learning Approach to Detect Anomaly in Software-Defined Network.

Xinshuo Bai, Jun Bai, Xu Yang, Hongri Liu, Bailing Wang, Yang Liu

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.

Jiangpeng Wu, Jun Bai, Wei Wang, Lili Xi, Pengyi Zhang, Jingfeng Lan, Liansheng Zhang, Shuyan Li

J. Chem. Inf. Model., 2019

Training a V1 Like Layer Using Gabor Filters in Convolutional Neural Networks.

Jun Bai, Yi Zeng, Yuxuan Zhao, Feifei Zhao

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.

Yongcheng Liu, Bin Fan, Lingfeng Wang, Jun Bai, Shiming Xiang, Chunhong Pan

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.

Feifei Zhao, Yi Zeng, Guixiang Wang, Jun Bai, Bo Xu

Cogn. Comput., 2018

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

Yi Zeng, Yuxuan Zhao, Jun Bai, Bo Xu

Cogn. Comput., 2018

2017

Secure variable-capacity self-recovery watermarking scheme.

Hui Shi, XiangHai Wang, Mingchu Li, Jun Bai, Bin Feng

Multim. Tools Appl., 2017

Deceive Mouse-Dynamics-Based Authentication Model via Movement Simulation.

Shujie Hu, Jun Bai, Hongri Liu, Chao Wang, Bailing Wang

Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017

Structured binary feature extraction for hyperspectral imagery classification.

Zisha Zhong, Bin Fan, Jun Bai, Shiming Xiang, Chunhong Pan

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.

Kun Yuan, Gaofeng Meng, Dongcai Cheng, Jun Bai, Shiming Xiang, Chunhong Pan

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Context-aware cascade network for semantic labeling in VHR image.

Yongcheng Liu, Bin Fan, Lingfeng Wang, Jun Bai, Shiming Xiang, Chunhong Pan

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Multiple kernel fuzzy discriminant analysis for hyperspectral imaging classification.

Shan Zeng, Jun Bai, Liang Jiang, Zhen Kang

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.

Wenchao Zhai, Zan Li, Jiangbo Si, Jun Bai

IET Commun., 2016

A cascade structure of aircraft detection in high resolution remote sensing images.

Bangyu Li, Xiaoguang Cui, Jun Bai

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.

Yi Zeng, Yuxuan Zhao, Jun Bai

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2016

2015

Semisupervised Pair-Wise Band Selection for Hyperspectral Images.

Jun Bai, Shiming Xiang, Limin Shi, Chunhong Pan

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).

Zhen Chen, Jingbo Xia, Jun Bai, Min Xu

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).

Jun Bai, Jingbo Xia, Xiaohuan Zhao

计算机科学, 2015

Improved strategies and adaptive capability allocation algorithm for query result caching.

Libing Qian, Zhenzhou Ji, Jun Bai

Int. J. Web Eng. Technol., 2015

Super-resolution reconstruction using graph Laplacian penalization.

Jun Bai, Limin Shi, Bangyu Li, Shiming Xiang, Chunhong Pan

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014

Image retrieval based on color-spatial histograms.

Shan Zeng, Jun Bai, Rui Huang

Proceedings of the 2nd International Conference on Systems and Informatics, 2014

2013

A Graph-Based Classification Method for Hyperspectral Images.

Jun Bai, Shiming Xiang, Chunhong Pan

IEEE Trans. Geosci. Remote. Sens., 2013

Feasibility analysis of big log data real time search based on Hbase and ElasticSearch.

Jun Bai

Proceedings of the Ninth International Conference on Natural Computation, 2013

2012

Classification oriented semi-supervised band selection for hyperspectral images.

Jun Bai, Shiming Xiang, Chunhong Pan

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2006

Cost analysis on renewable full-service warranties for multi-component systems.

Jun Bai, Hoang Pham

Eur. J. Oper. Res., 2006

2005

Repair-limit risk-free warranty policies with imperfect repair.

Jun Bai, Hoang Pham

IEEE Trans. Syst. Man Cybern. Part A, 2005

2004

Discounted warranty cost of minimally repaired series systems.

Jun Bai, Hoang Pham

IEEE Trans. Reliab., 2004

2003

An Architecture for Efficient, Flexible Enterprise System Integration.

John C. Grundy, Jun Bai, John Blackham, John G. Hosking, Robert Amor

Proceedings of the International Conference on Internet Computing, 2003