Jun Bai

120 papers A* 6B 14C 1Misc 3Journal 72Unranked 24
YearRankTypeTitle / Venue / Authors
2026 J jnl
$OneMillion-Bench: How Far are Language Agents from Human Experts?
CoRR
Qianyu Yang, Yang Liu, Jiaqi Li, Jun Bai, Hao Chen, Kaiyuan Chen, Tiliang Duan, Jiayun Dong, Xiaobo Hu, Zixia Jia, Tao Peng, Yixin Ren, Ran Tian, Zaiyuan Wang, Yanglihong Xiao, Gang Yao, Lingyue Yin, Ge Zhang, Chun Zhang, Jianpeng Jiao, Zilong Zheng, Yuan Gong
2026 J jnl
ARD: attention-guided reweighted knowledge distillation on image-like feature representations for real-time unmanned surface vehicles detection from LiDAR point clouds.
J. Real Time Image Process.
Jun Bai, Shiyang Li, Guihua Xia, Chunsheng Yang
2026 J jnl
AtmosOceanNet: SST forecast method driven by atmospheric-oceanic multimodal data.
Pattern Recognit.
Qinxuan Wang, Jun Bai, Kun Ding, Ying Wang, Yineng Li, Shiming Xiang, Xiaoqing Chu
2026 A* conf
Cross-Modal Unlearning via Influential Neuron Path Editing in Multimodal Large Language Models.
AAAI
Kunhao Li, Wenhao Li, Di Wu, Lei Yang, Jun Bai, Ju Jia, Jason Xue
2026 J jnl
MultiST: A Cross-Attention-Based Multimodal Model for Spatial Transcriptomic.
CoRR
Wei Wang, Quoc-Toan Ly, Chong Yu, Jun Bai
2026 J jnl
One model, dual tasks: a novel distributionally adaptive learning framework for ECG classification and generation addressing intra- and inter-patient variability.
Expert Syst. Appl.
Xinyi Wu, Zouheir Rezki, Bhavan Balusu, Jiaming Zhou, Jun Bai
2026 J jnl
PepEDiff: Zero-Shot Peptide Binder Design via Protein Embedding Diffusion.
CoRR
Po-Yu Liang, Tobo Duran, Jun Bai
2026 J jnl
Research on breast ultrasound images lesion localization and diagnosis based on knowledge-driven and data-driven methods.
Comput. Biol. Medicine
Jianqiang Li, Lintao Song, Xiaoling Liu, Yiming Liu, Tianbao Ma, Jun Bai, Qing Zhao, Xi Xu
2025 J jnl
A Comprehensive Survey on Machine Learning Driven Material Defect Detection.
ACM Comput. Surv.
Jun Bai, Di Wu, Tristan Shelley, Peter Schubel, David Twine, John Russell, Xuesen Zeng, Ji Zhang
2025 J jnl
A Systematic Literature Review of Robust Federated Learning: Issues, Solutions, and Future Research Directions.
ACM Comput. Surv.
Md Palash Uddin, Yong Xiang, Mahmudul Hasan, Jun Bai, Yao Zhao, Longxiang Gao
2025 — conf
A Unified Solution to Diverse Heterogeneities in One-Shot Federated Learning.
KDD (2)
Jun Bai, Yiliao Song, Di Wu, Atul Sajjanhar, Yong Xiang, Wei Zhou, Xiaohui Tao, Yan Li, Yue Li
2025 J jnl
Advanced Feature Extraction and Outlier Detection for 3D Biological/Biomedical Image Registration.
IEEE Trans. Comput. Biol. Bioinform.
Sahand Hamzehei, Jun Bai, Gianna Raimondi, Rebecca Tripp, Linnaea Ostroff, Sheida Nabavi
2025 — conf
CogAtom: From Cognitive Atoms to Olympiad-level Mathematical Reasoning in Large Language Models.
EMNLP (Findings)
Zhuofan Chen, Jiyuan He, Yichi Zhang, Xing Hu, Haoxing Wen, Jun Bai, Wenge Rong
2025 J jnl
CogAtom: From Cognitive Atoms to Olympiad-level Mathematical Reasoning in Large Language Models.
CoRR
Zhuofan Chen, Jiyuan He, Yichi Zhang, Xing Hu, Haoxing Wen, Jun Bai, Wenge Rong
2025 J jnl
Crash risk prediction using sparse collision data: Granger causal inference and graph convolutional network approaches.
Expert Syst. Appl.
Junjie Hu, Jun Bai, Jiayu Yang, Jaeyoung Jay Lee
2025 J jnl
Cross-Modal Unlearning via Influential Neuron Path Editing in Multimodal Large Language Models.
CoRR
Kunhao Li, Wenhao Li, Di Wu, Lei Yang, Jun Bai, Ju Jia, Jason Xue
2025 — conf
DeepPH : A Multimodal Deep Learning Model for Predicting Enzyme Optimal pH Range.
BCB
Wei Wang, Po-Yu Liang, Jun Bai
2025 B conf
Disentangling Preference Representation and Text Generation for Efficient Individual Preference Alignment.
COLING
Jianfei Zhang, Jun Bai, Bei Li, Yanmeng Wang, Rumei Li, Chenghua Lin, Wenge Rong
2025 J jnl
Dynamic correlation analysis of urban crashes using Tucker-net based SIRS model: A case study in New York City.
J. Frankl. Inst.
Junjie Hu, Jun Bai, Jinbao Zhang, Young-Ji Byon, Jaeyoung Jay Lee
2025 — conf
E(3)-Invariant Diffusion Model for Pocket-Aware Peptide Generation.
ISBRA (2)
Po-Yu Liang, Jun Bai
2025 J jnl
FedMLAC: Mutual Learning Driven Heterogeneous Federated Audio Classification.
CoRR
Jun Bai, Rajib Rana, Di Wu, Youyang Qu, Xiaohui Tao, Ji Zhang
2025 J jnl
FedWeight: mitigating covariate shift of federated learning on electronic health records data through patients re-weighting.
npj Digit. Medicine
He Zhu, Jun Bai, Na Li, Xiaoxiao Li, Dianbo Liu, David L. Buckeridge, Yue Li
2025 J jnl
Federated Unlearning in the Wild: Rethinking Fairness and Data Discrepancy.
CoRR
Ziheng Huang, Di Wu, Jun Bai, Jiale Zhang, Sicong Cao, Ji Zhang, Yingjie Hu
2025 J jnl
Native Parallel Reasoner: Reasoning in Parallelism via Self-Distilled Reinforcement Learning.
CoRR
Tong Wu, Yang Liu, Jun Bai, Zixia Jia, Shuyi Zhang, Ziyong Lin, Yanting Wang, Song-Chun Zhu, Zilong Zheng
2025 J jnl
Non-IID Free Federated Learning With Fuzzy Optimization for Consumer Electronics Systems.
IEEE Trans. Consumer Electron.
Jun Bai, Di Wu, Shan Zeng, Yao Zhao, Youyang Qu, Shui Yu
2025 J jnl
Rectifying and Discriminating Hard Negatives for Biomedical Retrieval Question Answering.
IEEE Trans. Comput. Biol. Bioinform.
Jun Bai, Zhenzi Li, Bo Zhao, Chen Li, Chenghua Lin, Wenge Rong
2025 A* conf
Reinforced Query Reasoners for Reasoning-intensive Retrieval Tasks.
EMNLP
Xubo Qin, Jun Bai, Jiaqi Li, Zixia Jia, Zilong Zheng
2025 — conf
Robust Training of Deep Learning Models for Mammogram Classification.
ISBI
Josué Martínez-Martínez, Olivia Brown, Jun Bai, Sheida Nabavi
2025 — conf
Selecting Demonstrations for Many-Shot In-Context Learning via Gradient Matching.
ACL (Findings)
Jianfei Zhang, Bei Li, Jun Bai, Rumei Li, Yanmeng Wang, Chenghua Lin, Wenge Rong
2025 J jnl
Selecting Demonstrations for Many-Shot In-Context Learning via Gradient Matching.
CoRR
Jianfei Zhang, Bei Li, Jun Bai, Rumei Li, Yanmeng Wang, Chenghua Lin, Wenge Rong
2025 J jnl
Selecting text classification model through maximizing posterior evidence over informative sub-space.
Frontiers Comput. Sci.
Zhiwei Sun, Jun Bai, Zhuofan Chen, Chen Li, Wenge Rong, Zhang Xiong
2025 J jnl
Source-free cross-modality medical image synthesis with diffusion priors.
J. King Saud Univ. Comput. Inf. Sci.
Jia Chen, Xin Wang, Jun Bai, Kai Yang, Xinrong Hu, Yue Li
2025 J jnl
TongSearch-QR: Reinforced Query Reasoning for Retrieval.
CoRR
Xubo Qin, Jun Bai, Jiaqi Li, Zixia Jia, Zilong Zheng
2025 A* conf
Understanding and Leveraging the Expert Specialization of Context Faithfulness in Mixture-of-Experts LLMs.
EMNLP
Jun Bai, Minghao Tong, Yang Liu, Zixia Jia, Zilong Zheng
2025 J jnl
Understanding and Leveraging the Expert Specialization of Context Faithfulness in Mixture-of-Experts LLMs.
CoRR
Jun Bai, Minghao Tong, Yang Liu, Zixia Jia, Zilong Zheng
2025 J jnl
Who Owns This Sample: Cross-Client Membership Inference Attack in Federated Graph Neural Networks.
CoRR
Kunhao Li, Di Wu, Jun Bai, Jing Xu, Lei Yang, Ziyi Zhang, Yiliao Song, Wencheng Yang, Taotao Cai, Yan Li
2025 J jnl
Your Dense Retriever is Secretly an Expeditious Reasoner.
CoRR
Yichi Zhang, Jun Bai, Zhixin Cai, Shuhan Qin, Zhuofan Chen, Jinghua Guan, Wenge Rong
2024 J jnl
A Comprehensive Survey on Machine Learning Driven Material Defect Detection: Challenges, Solutions, and Future Prospects.
CoRR
Jun Bai, Di Wu, Tristan Shelley, Peter Schubel, David Twine, John Russell, Xuesen Zeng, Ji Zhang
2024 J jnl
A Unified Solution to Diverse Heterogeneities in One-shot Federated Learning.
CoRR
Jun Bai, Yiliao Song, Di Wu, Atul Sajjanhar, Yong Xiang, Wei Zhou, Xiaohui Tao, Yan Li
2024 J jnl
Disentangling Preference Representation and Text Generation for Efficient Individual Preference Alignment.
CoRR
Jianfei Zhang, Jun Bai, Bei Li, Yanmeng Wang, Rumei Li, Chenghua Lin, Wenge Rong
2024 J jnl
E(3)-invaraint diffusion model for pocket-aware peptide generation.
CoRR
Po-Yu Liang, Jun Bai
2024 — conf
Exploring Latent Space for Generating Peptide Analogs Using Protein Language Models.
BIBM
Po-Yu Liang, Xueting Huang, Tibo Duran, Andrew J. Wiemer, Jun Bai
2024 J jnl
Exploring Latent Space for Generating Peptide Analogs Using Protein Language Models.
CoRR
Po-Yu Liang, Xueting Huang, Tibo Duran, Andrew J. Wiemer, Jun Bai
2024 A* conf
FedInverse: Evaluating Privacy Leakage in Federated Learning.
ICLR
Di Wu, Jun Bai, Yiliao Song, Junjun Chen, Wei Zhou, Yong Xiang, Atul Sajjanhar
2024 A* conf
Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking.
EMNLP
Jun Bai, Zhuofan Chen, Zhenzi Li, Hanhua Hong, Jianfei Zhang, Chen Li, Chenghua Lin, Wenge Rong
2024 J jnl
Leveraging Estimated Transferability Over Human Intuition for Model Selection in Text Ranking.
CoRR
Jun Bai, Zhuofan Chen, Zhenzi Li, Hanhua Hong, Jianfei Zhang, Chen Li, Chenghua Lin, Wenge Rong
2024 — conf
Logarithm of Maximum Posterior Evidence: Advanced Model Selection for Text Classification.
KSEM (2)
Zhiwei Sun, Jun Bai, Zhenzi Li, Chen Li, Wenge Rong, Yuanxin Ouyang, Zhang Xiong
2024 J jnl
Multisource Soft Labeling and Hard Negative Sampling for Retrieval Distractor Ranking.
IEEE Trans. Learn. Technol.
Jiayun Wang, Wenge Rong, Jun Bai, Zhiwei Sun, Yuanxin Ouyang, Zhang Xiong
2024 — conf
Prompt Based CVAE Data Augmentation for Few-Shot Intention Detection.
KSEM (3)
Junhao Xue, Chuantao Yin, Chen Li, Jun Bai, Hui Chen, Wenge Rong
2024 B conf
Research on Breast Lesion Localization and Diagnosis Based on Knowledge-Driven and Data-Driven Approach.
COMPSAC
Lintao Song, Jianqiang Li, Xiaoling Liu, Yiming Liu, Tianbao Ma, Jun Bai, Linna Zhao, Qing Zhao, Xi Xu
2024 J jnl
Soft Multiprototype Clustering Algorithm via Two-Layer Semi-NMF.
IEEE Trans. Fuzzy Syst.
Shan Zeng, Xiangjun Duan, Jun Bai, Wei Tao, Kun Hu, Yuanyan Tang
2024 B conf
TELLMe: Teaching and Exploiting Large Language Models for Model Selection in Text Retrieval.
IJCNN
Zhenzi Li, Jun Bai, Zhuofan Chen, Chen Li, Yuanxin Ouyang, Wenge Rong
2024 J jnl
Uncovering the Mechanism of Hepatotoxiciy of PFAS Targeting L-FABP Using GCN and Computational Modeling.
CoRR
Lucas Jividen, Tibo Duran, Xi-Zhi Niu, Jun Bai
2024 J jnl
Unsupervised feature correlation model to predict breast abnormal variation maps in longitudinal mammograms.
Comput. Medical Imaging Graph.
Jun Bai, Annie Jin, Madison Adams, Clifford Yang, Sheida Nabavi
2024 J jnl
Weakly-supervised deep learning model for prostate cancer diagnosis and Gleason grading of histopathology images.
Biomed. Signal Process. Control.
Mohammad Mahdi Behzadi, Mohammad Madani, Hanzhang Wang, Jun Bai, Ankit Bhardwaj, Anna Tarakanova, Harold Yamase, Ga Hie Nam, Sheida Nabavi
2023 — conf
3D Biological/Biomedical Image Registration with enhanced Feature Extraction and Outlier Detection.
BCB
Sahand Hamzehei, Jun Bai, Gianna Raimondi, Rebecca Tripp, Linnaea Ostroff, Sheida Nabavi
2023 — conf
A Deep Learning Approach for Ventricular Arrhythmias Classification using Microcontroller.
ISQED
Ya-sine Agrignan, Shanglin Zhou, Jun Bai, Sahidul Islam, Sheida Nabavi, Mimi Xie, Caiwen Ding
2023 J jnl
A Sparse Framework for Robust Possibilistic K-Subspace Clustering.
IEEE Trans. Fuzzy Syst.
Shan Zeng, Xiangjun Duan, Hao Li, Jun Bai, Yuanyan Tang, Zhiyong Wang
2023 J jnl
Adversarial Knowledge Distillation Based Biomedical Factoid Question Answering.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jun Bai, Chuantao Yin, Jianfei Zhang, Yanmeng Wang, Yi Dong, Wenge Rong, Zhang Xiong
2023 J jnl
Enhancing Biomedical ReQA With Adversarial Hard In-Batch Negative Samples.
IEEE ACM Trans. Comput. Biol. Bioinform.
Bo Zhao, Jun Bai, Chen Li, Jianfei Zhang, Wenge Rong, Yuanxin Ouyang, Zhang Xiong
2023 J jnl
Goal-oriented conditional variational autoencoders for proactive and knowledge-aware conversational recommender system.
Comput. Speech Lang.
Cen Yan, Jun Bai, Yanmeng Wang, Wenge Rong, Yuanxin Ouyang, Zhang Xiong
2023 — conf
How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey.
EMNLP (Findings)
Jun Bai, Xiaofeng Zhang, Chen Li, Hanhua Hong, Xi Xu, Chenghua Lin, Wenge Rong
2023 J jnl
How to Determine the Most Powerful Pre-trained Language Model without Brute Force Fine-tuning? An Empirical Survey.
CoRR
Jun Bai, Xiaofeng Zhang, Chen Li, Hanhua Hong, Xi Xu, Chenghua Lin, Wenge Rong
2023 J jnl
Improving Biomedical ReQA With Consistent NLI-Transfer and Post-Whitening.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jun Bai, Chuantao Yin, Zimeng Wu, Jianfei Zhang, Yanmeng Wang, Guanyi Jia, Wenge Rong, Zhang Xiong
2023 — conf
Multi-task Question Generation Based Data Augmentation for Biomedical Answer Generation.
ICIC (3)
Junting Zhao, Jun Bai, Wenge Rong, Yuanxin Ouyang, Zhang Xiong
2023 Misc conf
Permutation Invariant Training for Paraphrase Identification.
ICASSP
Jun Bai, Chuantao Yin, Hanhua Hong, Jianfei Zhang, Chen Li, Yanmeng Wang, Wenge Rong
2023 B conf
Solving Math Word Problems Following Logically Consistent Template.
IJCNN
Zeyu Huang, Xiaofeng Zhang, Jun Bai, Wenge Rong, Yuanxin Ouyang, Zhang Xiong
2023 B conf
Subgraph-Oriented Heterogeneous Drug-Target Interaction Identification.
IJCNN
Xiaofeng Zhang, Zeyu Huang, Jun Bai, Wenge Rong, Yuanxin Ouyang, Zhang Xiong
2023 J jnl
Unsupversied feature correlation model to predict breast abnormal variation maps in longitudinal mammograms.
CoRR
Jun Bai, Annie Jin, Madison Adams, Clifford Yang, Sheida Nabavi
2023 — conf
Weak Positive Sampling and Soft Smooth Labeling for Distractor Generation Data Augmentation.
ICIC (4)
Jiayun Wang, Jun Bai, Wenge Rong, Yuanxin Ouyang, Zhang Xiong
2022 — conf
Applying graph convolution neural network in digital breast tomosynthesis for cancer classification.
BCB
Jun Bai, Annie Jin, Andre Jin, Tianyu Wang, Clifford Yang, Sheida Nabavi
2022 — conf
Asymmetric Neighboring Context Modeling for Knowledge Graph Embedding.
KSEM (1)
Yuanhao Hu, Yuanxin Ouyang, Jun Bai, Chuanrui Wang, Wenge Rong, Zhang Xiong
2022 J jnl
Combining multi-view ensemble and surrogate lagrangian relaxation for real-time 3D biomedical image segmentation on the edge.
Neurocomputing
Shanglin Zhou, Xiaowei Xu, Jun Bai, Mikhail A. Bragin
2022 J jnl
Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval.
CoRR
Yanmeng Wang, Jun Bai, Ye Wang, Jianfei Zhang, Wenge Rong, Zongcheng Ji, Shaojun Wang, Jing Xiao
2022 B conf
FedEWA: Federated Learning with Elastic Weighted Averaging.
IJCNN
Jun Bai, Atul Sajjanhar, Yong Xiang, Xiaojun Tong, Shan Zeng
2022 B conf
Graph and Question Interaction Aware Graph2Seq Model for Knowledge Base Question Generation.
IJCNN
Chen Li, Jun Bai, Chuanarui Wang, Yuanhao Hu, Wenge Rong, Zhang Xiong
2022 A* conf
Improving Variational Autoencoders with Density Gap-based Regularization.
NeurIPS
Jianfei Zhang, Jun Bai, Chenghua Lin, Yanmeng Wang, Wenge Rong
2022 J jnl
Improving Variational Autoencoders with Density Gap-based Regularization.
CoRR
Jianfei Zhang, Jun Bai, Chenghua Lin, Yanmeng Wang, Wenge Rong
2022 — conf
KnowReQA: A Knowledge-aware Retrieval Question Answering System.
KSEM (1)
Chuanrui Wang, Jun Bai, Xiaofeng Zhang, Cen Yan, Yuanxin Ouyang, Wenge Rong, Zhang Xiong
2022 J jnl
Quantitative estimation of intracellular oxidative stress in human tissues.
Briefings Bioinform.
Jun Bai, Renbo Tan, Zheng An, Ying Xu
2022 — conf
Semi-supervised classification of disease prognosis using CR images with clinical data structured graph.
BCB
Jun Bai, Bingjun Li, Sheida Nabavi
2022 J jnl
Toward a Brain-Inspired Developmental Neural Network Based on Dendritic Spine Dynamics.
Neural Comput.
Feifei Zhao, Yi Zeng, Jun Bai
2022 J jnl
Weakly-Supervised Deep Learning Model for Prostate Cancer Diagnosis and Gleason Grading of Histopathology Images.
CoRR
Mohammad Mahdi Behzadi, Mohammad Madani, Hanzhang Wang, Jun Bai, Ankit Bhardwaj, Anna Tarakanova, Harold Yamase, Ga Hie Nam, Sheida Nabavi
2021 J jnl
A Local Outlier Factor-Based Detection of Copy Number Variations From NGS Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xiguo Yuan, Junping Li, Jun Bai, Jianing Xi
2021 J jnl
Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review.
Medical Image Anal.
Jun Bai, Russell Posner, Tianyu Wang, Clifford Yang, Sheida Nabavi
2021 J jnl
Detection and inference of interspersed duplicated insertions from paired-end reads.
Digit. Signal Process.
Xiguo Yuan, Wenlu Xie, Hongzhi Yang, Jun Bai, Ruwu Yang, Guojun Liu, Haque A. K. Alvi
2021 — conf
Enhancing Dual-Encoders with Question and Answer Cross-Embeddings for Answer Retrieval.
EMNLP (Findings)
Yanmeng Wang, Jun Bai, Ye Wang, Jianfei Zhang, Wenge Rong, Zongcheng Ji, Shaojun Wang, Jing Xiao
2021 Misc conf
Paragraph Level Multi-Perspective Context Modeling for Question Generation.
ICASSP
Jun Bai, Wenge Rong, Feiyu Xia, Yanmeng Wang, Yuanxin Ouyang, Zhang Xiong
2021 J jnl
Single-cell classification using graph convolutional networks.
BMC Bioinform.
Tianyu Wang, Jun Bai, Sheida Nabavi
2021 J jnl
The Evaluation Indicators of X-ray Radiographs for Femoroacetabular Impingement Syndrome.
J. Medical Imaging Health Informatics
Jun Bai, Xingzhen Hu, Tao Tan, Teng Hua, Wenping Xia, Crystal Jones, Agnes Williams
2020 — conf
A Deep Learning Approach to Detect Anomaly in Software-Defined Network.
ICAIT
Xinshuo Bai, Jun Bai, Xu Yang, Hongri Liu, Bailing Wang, Yang Liu
2020 J jnl
CONDEL: Detecting Copy Number Variation and Genotyping Deletion Zygosity from Single Tumor Samples Using Sequence Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xiguo Yuan, Jun Bai, Junying Zhang, Liying Yang, Junbo Duan, Yaoyao Li, Meihong Gao
2020 J jnl
SVSR: A Program to Simulate Structural Variations and Generate Sequencing Reads for Multiple Platforms.
IEEE ACM Trans. Comput. Biol. Bioinform.
Xiguo Yuan, Meihong Gao, Jun Bai, Junbo Duan
2019 J jnl
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.
Jiangpeng Wu, Jun Bai, Wei Wang, Lili Xi, Pengyi Zhang, Jingfeng Lan, Liansheng Zhang, Shuyan Li
2019 B conf
Training a V1 Like Layer Using Gabor Filters in Convolutional Neural Networks.
IJCNN
Jun Bai, Yi Zeng, Yuxuan Zhao, Feifei Zhao
2018 J jnl
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.
Feifei Zhao, Yi Zeng, Guixiang Wang, Jun Bai, Bo Xu
2018 J jnl
Semantic Labeling in Very High Resolution Images via a Self-Cascaded Convolutional Neural Network.
CoRR
Yongcheng Liu, Bin Fan, Lingfeng Wang, Jun Bai, Shiming Xiang, Chunhong Pan
2018 J jnl
Toward Robot Self-Consciousness (II): Brain-Inspired Robot Bodily Self Model for Self-Recognition.
Cogn. Comput.
Yi Zeng, Yuxuan Zhao, Jun Bai, Bo Xu
2017 B conf
Context-aware cascade network for semantic labeling in VHR image.
ICIP
Yongcheng Liu, Bin Fan, Lingfeng Wang, Jun Bai, Shiming Xiang, Chunhong Pan
2017 — conf
Deceive Mouse-Dynamics-Based Authentication Model via Movement Simulation.
ISCID (1)
Shujie Hu, Jun Bai, Hongri Liu, Chao Wang, Bailing Wang
2017 B conf
Efficient cloud detection in remote sensing images using edge-aware segmentation network and easy-to-hard training strategy.
ICIP
Kun Yuan, Gaofeng Meng, Dongcai Cheng, Jun Bai, Shiming Xiang, Chunhong Pan
2017 B conf
Multiple kernel fuzzy discriminant analysis for hyperspectral imaging classification.
FUZZ-IEEE
Shan Zeng, Jun Bai, Liang Jiang, Zhen Kang
2017 J jnl
Secure variable-capacity self-recovery watermarking scheme.
Multim. Tools Appl.
Hui Shi, XiangHai Wang, Mingchu Li, Jun Bai, Bin Feng
2017 B conf
Structured binary feature extraction for hyperspectral imagery classification.
ICIP
Zisha Zhong, Bin Fan, Jun Bai, Shiming Xiang, Chunhong Pan
2016 C conf
A cascade structure of aircraft detection in high resolution remote sensing images.
IGARSS
Bangyu Li, Xiaoguang Cui, Jun Bai
2016 J jnl
Performance analysis of a joint estimator for timing, frequency, and phase with continuous-phase modulation.
IET Commun.
Wenchao Zhai, Zan Li, Jiangbo Si, Jun Bai
2016 — conf
Towards Robot Self-consciousness (I): Brain-Inspired Robot Mirror Neuron System Model and Its Application in Mirror Self-recognition.
BICS
Yi Zeng, Yuxuan Zhao, Jun Bai
2015 J jnl
Improved strategies and adaptive capability allocation algorithm for query result caching.
Int. J. Web Eng. Technol.
Libing Qian, Zhenzhou Ji, Jun Bai
2015 J jnl
Semisupervised Pair-Wise Band Selection for Hyperspectral Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Jun Bai, Shiming Xiang, Limin Shi, Chunhong Pan
2015 B conf
Super-resolution reconstruction using graph Laplacian penalization.
ICIP
Jun Bai, Limin Shi, Bangyu Li, Shiming Xiang, Chunhong Pan
2015 J jnl
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
Jun Bai, Jingbo Xia, Xiaohuan Zhao
2015 J jnl
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
Zhen Chen, Jingbo Xia, Jun Bai, Min Xu
2014 — conf
Image retrieval based on color-spatial histograms.
ICSAI
Shan Zeng, Jun Bai, Rui Huang
2013 J jnl
A Graph-Based Classification Method for Hyperspectral Images.
IEEE Trans. Geosci. Remote. Sens.
Jun Bai, Shiming Xiang, Chunhong Pan
2013 Misc conf
Feasibility analysis of big log data real time search based on Hbase and ElasticSearch.
ICNC
Jun Bai
2012 B conf
Classification oriented semi-supervised band selection for hyperspectral images.
ICPR
Jun Bai, Shiming Xiang, Chunhong Pan
2006 J jnl
Cost analysis on renewable full-service warranties for multi-component systems.
Eur. J. Oper. Res.
Jun Bai, Hoang Pham
2005 J jnl
Repair-limit risk-free warranty policies with imperfect repair.
IEEE Trans. Syst. Man Cybern. Part A
Jun Bai, Hoang Pham
2004 J jnl
Discounted warranty cost of minimally repaired series systems.
IEEE Trans. Reliab.
Jun Bai, Hoang Pham
2003 — conf
An Architecture for Efficient, Flexible Enterprise System Integration.
International Conference on Internet Computing
John C. Grundy, Jun Bai, John Blackham, John G. Hosking, Robert Amor