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Jun Bai
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2020 – today
- 2025
- [j33]Junjie Hu, Jun Bai
, Jiayu Yang, Jaeyoung Jay Lee:
Crash risk prediction using sparse collision data: Granger causal inference and graph convolutional network approaches. Expert Syst. Appl. 259: 125315 (2025) - 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
Soft Multiprototype Clustering Algorithm via Two-Layer Semi-NMF. IEEE Trans. Fuzzy Syst. 32(4): 1615-1629 (2024) - [j29]Jiayun Wang
Multisource Soft Labeling and Hard Negative Sampling for Retrieval Distractor Ranking. IEEE Trans. Learn. Technol. 17: 664-676 (2024) - [c37]Lintao Song, Jianqiang Li, Xiaoling Liu, Yiming Liu, Tianbao Ma, Jun Bai, Linna Zhao, Qing Zhao, Xi Xu:
Research on Breast Lesion Localization and Diagnosis Based on Knowledge-Driven and Data-Driven Approach. COMPSAC 2024: 2147-2152 - [c36]Jun Bai, Zhuofan Chen, Zhenzi Li, Hanhua Hong, Jianfei Zhang, Chen Li, Chenghua Lin, Wenge Rong:
Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking. EMNLP 2024: 12356-12374 - [c35]Di Wu, Jun Bai, Yiliao Song, Junjun Chen, Wei Zhou, Yong Xiang, Atul Sajjanhar:
FedInverse: Evaluating Privacy Leakage in Federated Learning. ICLR 2024 - [c34]Zhenzi Li, Jun Bai, Zhuofan Chen, Chen Li, Yuanxin Ouyang, Wenge Rong:
TELLMe: Teaching and Exploiting Large Language Models for Model Selection in Text Retrieval. IJCNN 2024: 1-8 - [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 - [i12]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) - [i11]Po-Yu Liang, Xueting Huang, Tibo Duran, Andrew J. Wiemer, Jun Bai:
Exploring Latent Space for Generating Peptide Analogs Using Protein Language Models. CoRR abs/2408.08341 (2024) - [i10]Lucas Jividen, Tibo Duran, Xi-Zhi Niu
Uncovering the Mechanism of Hepatotoxiciy of PFAS Targeting L-FABP Using GCN and Computational Modeling. CoRR abs/2409.10370 (2024) - [i9]Jun Bai, Zhuofan Chen, Zhenzi Li, Hanhua Hong, Jianfei Zhang, Chen Li, Chenghua Lin, Wenge Rong:
Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking. CoRR abs/2409.16198 (2024) - [i8]Jun Bai, Yiliao Song, Di Wu, Atul Sajjanhar, Yong Xiang, Wei Zhou, Xiaohui Tao, Yan Li:
A Unified Solution to Diverse Heterogeneities in One-shot Federated Learning. CoRR abs/2410.21119 (2024) - [i7]Po-Yu Liang, Jun Bai:
E(3)-invaraint diffusion model for pocket-aware peptide generation. CoRR abs/2410.21335 (2024) - 2023
- [j28]Cen Yan
Goal-oriented conditional variational autoencoders for proactive and knowledge-aware conversational recommender system. Comput. Speech Lang. 79: 101468 (2023) - [j27]Jun Bai
Adversarial Knowledge Distillation Based Biomedical Factoid Question Answering. IEEE ACM Trans. Comput. Biol. Bioinform. 20(1): 106-118 (2023) - [j26]Jun Bai
Improving Biomedical ReQA With Consistent NLI-Transfer and Post-Whitening. IEEE ACM Trans. Comput. Biol. Bioinform. 20(3): 1864-1875 (2023) - [j25]Bo Zhao
Enhancing Biomedical ReQA With Adversarial Hard In-Batch Negative Samples. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 2933-2944 (2023) - [j24]Shan Zeng
A Sparse Framework for Robust Possibilistic K-Subspace Clustering. IEEE Trans. Fuzzy Syst. 31(4): 1124-1138 (2023) - [c31]Sahand Hamzehei
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
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
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
Semi-supervised classification of disease prognosis using CR images with clinical data structured graph. BCB 2022: 44:1-44:9 - [c21]Jun Bai
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
Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review. Medical Image Anal. 71: 102049 (2021) - [j16]Xiguo Yuan
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
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
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
Training a V1 Like Layer Using Gabor Filters in Convolutional Neural Networks. IJCNN 2019: 1-8 - 2018
- [j12]Feifei Zhao, Yi Zeng
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
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
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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