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Jun Bai
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [j32]Mohammad Mahdi Behzadi, Mohammad Madani, Hanzhang Wang, Jun Bai, Ankit Bhardwaj, Anna Tarakanova, Harold Yamase, Ga Hie Nam, Sheida Nabavi
:
Weakly-supervised deep learning model for prostate cancer diagnosis and Gleason grading of histopathology images. Biomed. Signal Process. Control. 95: 106351 (2024) - [j31]Jun Bai, Annie Jin, Madison Adams, Clifford Yang, Sheida Nabavi
:
Unsupervised feature correlation model to predict breast abnormal variation maps in longitudinal mammograms. Comput. Medical Imaging Graph. 113: 102341 (2024) - [j30]Shan Zeng
, Xiangjun Duan
, Jun Bai, Wei Tao
, Kun Hu
, Yuanyan Tang:
Soft Multiprototype Clustering Algorithm via Two-Layer Semi-NMF. IEEE Trans. Fuzzy Syst. 32(4): 1615-1629 (2024) - [j29]Jiayun Wang
, Wenge Rong
, Jun Bai
, Zhiwei Sun
, Yuanxin Ouyang
, Zhang Xiong
:
Multisource Soft Labeling and Hard Negative Sampling for Retrieval Distractor Ranking. IEEE Trans. Learn. Technol. 17: 664-676 (2024) - [c34]Di Wu, Jun Bai, Yiliao Song, Junjun Chen, Wei Zhou, Yong Xiang, Atul Sajjanhar:
FedInverse: Evaluating Privacy Leakage in Federated Learning. ICLR 2024 - [c33]Zhiwei Sun, Jun Bai, Zhenzi Li, Chen Li, Wenge Rong, Yuanxin Ouyang, Zhang Xiong:
Logarithm of Maximum Posterior Evidence: Advanced Model Selection for Text Classification. KSEM (2) 2024: 229-240 - [c32]Junhao Xue, Chuantao Yin, Chen Li, Jun Bai, Hui Chen, Wenge Rong:
Prompt Based CVAE Data Augmentation for Few-Shot Intention Detection. KSEM (3) 2024: 312-323 - [i7]Jun Bai, Di Wu, Tristan Shelley, Peter Schubel, David Twine, John Russell, Xuesen Zeng, Ji Zhang:
A Comprehensive Survey on Machine Learning Driven Material Defect Detection: Challenges, Solutions, and Future Prospects. CoRR abs/2406.07880 (2024) - 2023
- [j28]Cen Yan
, Jun Bai, Yanmeng Wang, Wenge Rong, Yuanxin Ouyang, Zhang Xiong:
Goal-oriented conditional variational autoencoders for proactive and knowledge-aware conversational recommender system. Comput. Speech Lang. 79: 101468 (2023) - [j27]Jun Bai
, Chuantao Yin
, Jianfei Zhang, Yanmeng Wang, Yi Dong, Wenge Rong
, Zhang Xiong:
Adversarial Knowledge Distillation Based Biomedical Factoid Question Answering. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 106-118 (2023) - [j26]Jun Bai
, Chuantao Yin
, Zimeng Wu, Jianfei Zhang, Yanmeng Wang, Guanyi Jia, Wenge Rong
, Zhang Xiong:
Improving Biomedical ReQA With Consistent NLI-Transfer and Post-Whitening. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 1864-1875 (2023) - [j25]Bo Zhao
, Jun Bai
, Chen Li
, Jianfei Zhang
, Wenge Rong
, Yuanxin Ouyang
, Zhang Xiong
:
Enhancing Biomedical ReQA With Adversarial Hard In-Batch Negative Samples. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2933-2944 (2023) - [j24]Shan Zeng
, Xiangjun Duan
, Hao Li
, Jun Bai, Yuanyan Tang, Zhiyong Wang
:
A Sparse Framework for Robust Possibilistic K-Subspace Clustering. IEEE Trans. Fuzzy Syst. 31(4): 1124-1138 (2023) - [c31]Sahand Hamzehei
, Jun Bai
, Gianna Raimondi
, Rebecca Tripp
, Linnaea Ostroff
, Sheida Nabavi
:
3D Biological/Biomedical Image Registration with enhanced Feature Extraction and Outlier Detection. BCB 2023: 1:1-1:10 - [c30]Jun Bai, Xiaofeng Zhang, Chen Li, Hanhua Hong, Xi Xu, Chenghua Lin, Wenge Rong:
How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey. EMNLP (Findings) 2023: 5369-5382 - [c29]Jun Bai, Chuantao Yin, Hanhua Hong, Jianfei Zhang, Chen Li, Yanmeng Wang, Wenge Rong:
Permutation Invariant Training for Paraphrase Identification. ICASSP 2023: 1-5 - [c28]Junting Zhao, Jun Bai, Wenge Rong, Yuanxin Ouyang, Zhang Xiong:
Multi-task Question Generation Based Data Augmentation for Biomedical Answer Generation. ICIC (3) 2023: 485-496 - [c27]Jiayun Wang, Jun Bai, Wenge Rong, Yuanxin Ouyang, Zhang Xiong:
Weak Positive Sampling and Soft Smooth Labeling for Distractor Generation Data Augmentation. ICIC (4) 2023: 756-767 - [c26]Zeyu Huang, Xiaofeng Zhang, Jun Bai, Wenge Rong, Yuanxin Ouyang, Zhang Xiong:
Solving Math Word Problems Following Logically Consistent Template. IJCNN 2023: 1-8 - [c25]Xiaofeng Zhang, Zeyu Huang, Jun Bai, Wenge Rong, Yuanxin Ouyang, Zhang Xiong:
Subgraph-Oriented Heterogeneous Drug-Target Interaction Identification. IJCNN 2023: 1-8 - [c24]Ya-sine Agrignan, Shanglin Zhou, Jun Bai, Sahidul Islam
, Sheida Nabavi, Mimi Xie, Caiwen Ding:
A Deep Learning Approach for Ventricular Arrhythmias Classification using Microcontroller. ISQED 2023: 1-5 - [i6]Jun Bai, Xiaofeng Zhang, Chen Li, Hanhua Hong, Xi Xu, Chenghua Lin, Wenge Rong:
How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey. CoRR abs/2312.04775 (2023) - [i5]Jun Bai, Annie Jin, Madison Adams, Clifford Yang, Sheida Nabavi:
Unsupversied feature correlation model to predict breast abnormal variation maps in longitudinal mammograms. CoRR abs/2312.16772 (2023) - 2022
- [j23]Jun Bai
, Renbo Tan, Zheng An
, Ying Xu:
Quantitative estimation of intracellular oxidative stress in human tissues. Briefings Bioinform. 23(4) (2022) - [j22]Shanglin Zhou, Xiaowei Xu, Jun Bai, Mikhail A. Bragin:
Combining multi-view ensemble and surrogate lagrangian relaxation for real-time 3D biomedical image segmentation on the edge. Neurocomputing 512: 466-481 (2022) - [j21]Feifei Zhao, Yi Zeng, Jun Bai:
Toward a Brain-Inspired Developmental Neural Network Based on Dendritic Spine Dynamics. Neural Comput. 34(1): 172-189 (2022) - [c23]Jun Bai, Annie Jin, Andre Jin, Tianyu Wang, Clifford Yang, Sheida Nabavi:
Applying graph convolution neural network in digital breast tomosynthesis for cancer classification. BCB 2022: 37:1-37:10 - [c22]Jun Bai, Bingjun Li
, Sheida Nabavi:
Semi-supervised classification of disease prognosis using CR images with clinical data structured graph. BCB 2022: 44:1-44:9 - [c21]Jun Bai, Atul Sajjanhar, Yong Xiang, Xiaojun Tong, Shan Zeng:
FedEWA: Federated Learning with Elastic Weighted Averaging. IJCNN 2022: 1-8 - [c20]Chen Li, Jun Bai, Chuanarui Wang, Yuanhao Hu, Wenge Rong, Zhang Xiong:
Graph and Question Interaction Aware Graph2Seq Model for Knowledge Base Question Generation. IJCNN 2022: 1-8 - [c19]Yuanhao Hu, Yuanxin Ouyang, Jun Bai, Chuanrui Wang, Wenge Rong, Zhang Xiong:
Asymmetric Neighboring Context Modeling for Knowledge Graph Embedding. KSEM (1) 2022: 683-695 - [c18]Chuanrui Wang, Jun Bai, Xiaofeng Zhang, Cen Yan, Yuanxin Ouyang, Wenge Rong, Zhang Xiong:
KnowReQA: A Knowledge-aware Retrieval Question Answering System. KSEM (1) 2022: 709-721 - [c17]Jianfei Zhang, Jun Bai, Chenghua Lin, Yanmeng Wang, Wenge Rong:
Improving Variational Autoencoders with Density Gap-based Regularization. NeurIPS 2022 - [i4]Yanmeng Wang, Jun Bai, Ye Wang, Jianfei Zhang, Wenge Rong, Zongcheng Ji, Shaojun Wang, Jing Xiao:
Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval. CoRR abs/2206.02978 (2022) - [i3]Jianfei Zhang, Jun Bai, Chenghua Lin, Yanmeng Wang, Wenge Rong:
Improving Variational Autoencoders with Density Gap-based Regularization. CoRR abs/2211.00321 (2022) - [i2]Mohammad Mahdi Behzadi, Mohammad Madani, Hanzhang Wang, Jun Bai, Ankit Bhardwaj, Anna Tarakanova, Harold Yamase, Ga Hie Nam, Sheida Nabavi:
Weakly-Supervised Deep Learning Model for Prostate Cancer Diagnosis and Gleason Grading of Histopathology Images. CoRR abs/2212.12844 (2022) - 2021
- [j20]Tianyu Wang, Jun Bai, Sheida Nabavi
:
Single-cell classification using graph convolutional networks. BMC Bioinform. 22(1): 364 (2021) - [j19]Xiguo Yuan, Wenlu Xie, Hongzhi Yang, Jun Bai, Ruwu Yang, Guojun Liu, Haque A. K. Alvi
:
Detection and inference of interspersed duplicated insertions from paired-end reads. Digit. Signal Process. 111: 102959 (2021) - [j18]Jun Bai, Xingzhen Hu, Tao Tan, Teng Hua, Wenping Xia, Crystal Jones, Agnes Williams
:
The Evaluation Indicators of X-ray Radiographs for Femoroacetabular Impingement Syndrome. J. Medical Imaging Health Informatics 11(2): 557-562 (2021) - [j17]Jun Bai, Russell Posner, Tianyu Wang
, Clifford Yang, Sheida Nabavi:
Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review. Medical Image Anal. 71: 102049 (2021) - [j16]Xiguo Yuan
, Junping Li
, Jun Bai, Jianing Xi
:
A Local Outlier Factor-Based Detection of Copy Number Variations From NGS Data. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1811-1820 (2021) - [c16]Yanmeng Wang, Jun Bai, Ye Wang, Jianfei Zhang, Wenge Rong, Zongcheng Ji, Shaojun Wang, Jing Xiao:
Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval. EMNLP (Findings) 2021: 2306-2315 - [c15]Jun Bai, Wenge Rong, Feiyu Xia, Yanmeng Wang, Yuanxin Ouyang, Zhang Xiong:
Paragraph Level Multi-Perspective Context Modeling for Question Generation. ICASSP 2021: 7418-7422 - 2020
- [j15]Xiguo Yuan
, Meihong Gao
, Jun Bai, Junbo Duan
:
SVSR: A Program to Simulate Structural Variations and Generate Sequencing Reads for Multiple Platforms. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 1082-1091 (2020) - [j14]Xiguo Yuan
, Jun Bai, Junying Zhang
, Liying Yang
, Junbo Duan
, Yaoyao Li
, Meihong Gao
:
CONDEL: Detecting Copy Number Variation and Genotyping Deletion Zygosity from Single Tumor Samples Using Sequence Data. IEEE ACM Trans. Comput. Biol. Bioinform. 17(4): 1141-1153 (2020) - [c14]Xinshuo Bai, Jun Bai, Xu Yang, Hongri Liu, Bailing Wang, Yang Liu:
A Deep Learning Approach to Detect Anomaly in Software-Defined Network. ICAIT 2020: 100-106
2010 – 2019
- 2019
- [j13]Jiangpeng Wu, Jun Bai, Wei Wang, Lili Xi, Pengyi Zhang, Jingfeng Lan, Liansheng Zhang, Shuyan Li
:
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. 59(11): 4561-4568 (2019) - [c13]Jun Bai, Yi Zeng, Yuxuan Zhao
, Feifei Zhao:
Training a V1 Like Layer Using Gabor Filters in Convolutional Neural Networks. IJCNN 2019: 1-8 - 2018
- [j12]Feifei Zhao, Yi Zeng
, Guixiang Wang, Jun Bai, Bo Xu:
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. 10(2): 296-306 (2018) - [j11]Yi Zeng
, Yuxuan Zhao
, Jun Bai, Bo Xu:
Toward Robot Self-Consciousness (II): Brain-Inspired Robot Bodily Self Model for Self-Recognition. Cogn. Comput. 10(2): 307-320 (2018) - [i1]Yongcheng Liu, Bin Fan, Lingfeng Wang, Jun Bai, Shiming Xiang, Chunhong Pan:
Semantic Labeling in Very High Resolution Images via a Self-Cascaded Convolutional Neural Network. CoRR abs/1807.11236 (2018) - 2017
- [j10]Hui Shi, XiangHai Wang, Mingchu Li, Jun Bai, Bin Feng:
Secure variable-capacity self-recovery watermarking scheme. Multim. Tools Appl. 76(5): 6941-6972 (2017) - [c12]Shan Zeng, Jun Bai, Liang Jiang, Zhen Kang:
Multiple kernel fuzzy discriminant analysis for hyperspectral imaging classification. FUZZ-IEEE 2017: 1-6 - [c11]Kun Yuan, Gaofeng Meng, Dongcai Cheng, Jun Bai, Shiming Xiang, Chunhong Pan:
Efficient cloud detection in remote sensing images using edge-aware segmentation network and easy-to-hard training strategy. ICIP 2017: 61-65 - [c10]Zisha Zhong, Bin Fan, Jun Bai, Shiming Xiang, Chunhong Pan:
Structured binary feature extraction for hyperspectral imagery classification. ICIP 2017: 525-529 - [c9]Yongcheng Liu, Bin Fan, Lingfeng Wang, Jun Bai, Shiming Xiang, Chunhong Pan:
Context-aware cascade network for semantic labeling in VHR image. ICIP 2017: 575-579 - [c8]Shujie Hu, Jun Bai, Hongri Liu, Chao Wang, Bailing Wang:
Deceive Mouse-Dynamics-Based Authentication Model via Movement Simulation. ISCID (1) 2017: 482-485 - 2016
- [j9]Wenchao Zhai, Zan Li, Jiangbo Si, Jun Bai:
Performance analysis of a joint estimator for timing, frequency, and phase with continuous-phase modulation. IET Commun. 10(3): 263-271 (2016) - [c7]Yi Zeng
, Yuxuan Zhao
, Jun Bai:
Towards Robot Self-consciousness (I): Brain-Inspired Robot Mirror Neuron System Model and Its Application in Mirror Self-recognition. BICS 2016: 11-21 - [c6]Bangyu Li, Xiaoguang Cui, Jun Bai:
A cascade structure of aircraft detection in high resolution remote sensing images. IGARSS 2016: 653-656 - 2015
- [j8]Libing Qian, Zhenzhou Ji, Jun Bai:
Improved strategies and adaptive capability allocation algorithm for query result caching. Int. J. Web Eng. Technol. 10(3): 272-290 (2015) - [j7]Jun Bai, Jingbo Xia, Xiaohuan Zhao:
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 42(1): 122-125 (2015) - [j6]Zhen Chen, Jingbo Xia, Jun Bai, Min Xu:
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 42(11): 288-292 (2015) - [j5]Jun Bai, Shiming Xiang, Limin Shi, Chunhong Pan:
Semisupervised Pair-Wise Band Selection for Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2798-2813 (2015) - [c5]Jun Bai, Limin Shi, Bangyu Li, Shiming Xiang, Chunhong Pan:
Super-resolution reconstruction using graph Laplacian penalization. ICIP 2015: 487-491 - 2014
- [c4]Shan Zeng, Jun Bai, Rui Huang:
Image retrieval based on color-spatial histograms. ICSAI 2014: 780-784 - 2013
- [j4]Jun Bai, Shiming Xiang, Chunhong Pan:
A Graph-Based Classification Method for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 51(2): 803-817 (2013) - [c3]Jun Bai:
Feasibility analysis of big log data real time search based on Hbase and ElasticSearch. ICNC 2013: 1166-1170 - 2012
- [c2]Jun Bai, Shiming Xiang, Chunhong Pan:
Classification oriented semi-supervised band selection for hyperspectral images. ICPR 2012: 1888-1891
2000 – 2009
- 2006
- [j3]Jun Bai, Hoang Pham:
Cost analysis on renewable full-service warranties for multi-component systems. Eur. J. Oper. Res. 168(2): 492-508 (2006) - 2005
- [j2]Jun Bai, Hoang Pham:
Repair-limit risk-free warranty policies with imperfect repair. IEEE Trans. Syst. Man Cybern. Part A 35(6): 765-772 (2005) - 2004
- [j1]Jun Bai, Hoang Pham:
Discounted warranty cost of minimally repaired series systems. IEEE Trans. Reliab. 53(1): 37-42 (2004) - 2003
- [c1]John C. Grundy, Jun Bai, John Blackham, John G. Hosking, Robert Amor:
An Architecture for Efficient, Flexible Enterprise System Integration. International Conference on Internet Computing 2003: 350-356
Coauthor Index
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last updated on 2024-08-14 23:18 CEST by the dblp team
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