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ORCIDJing Bai 0003
Person information
- affiliation: Xidian University, School of Artificial Intelligence, Joint International Research Laboratory of Intelligent Perception and Computation, Xi'an, China
- affiliation (PhD 2009): Xidian University, Department of pattern recognition and intelligent system, China
Other persons with the same name
- Jing Bai (aka: Bai Jing) — disambiguation page
- Jing Bai 0001 — Tsinghua University, Department of Biomedical Engineering, China (and 1 more)
- Jing Bai 0002
![[0000-0002-8649-6064]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8649-6064")
— University of Science and Technology, School of Mathematics and Physics, Beijing, China (and 1 more) - Jing Bai 0004 — Beifang University of Nationalities, Yinchuan, China (and 1 more)
- Jing Bai 0005 — University of Montreal, DIRO, QC, Canada
- Jing Bai 0006 — Southeast University, School of Instrument Science and Engineering, Nanjing, China
- Jing Bai 0007 — Beihua University, College of Electrical and Information Engineering, Jilin, China
- Jing Bai 0008 — Xidian University, School of Telecommunication Engineering, Collaborative Innovation Center of Information Sensing and Understanding, State Key Laboratory of Integrated Services Networks, Xi'an, China
- Jing Bai 0009 — Beijing Jiaotong University, Key Laboratory of Security and Privacy in Intelligent Transportation, China
- Jing Bai 0010 — Microsoft Research Asia, Beijing, China
- Jing Bai 0011 — Donghua University, School of Computer Science and Technology, Shanghai, China (and 1 more)
- Jing Bai 0012 — Ibaraki University, Department of Computer and Information Sciences, Hitachi, Japan
- Jing Bai 0013 — Northwestern Polytechnical University, School of Mechanical Engineering, China
- Jing Bai 0014 — Harbin Medical University, College of Bioinformatics Science and Technology, China
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2020 – today
- 2024
[j40]Jing Bai, Xu Wang, Zhu Xiao, Huaji Zhou, Talal Ahmed Ali Ali, You Li, Licheng Jiao:
Achieving Efficient Feature Representation for Modulation Signal: A Cooperative Contrast Learning Approach. IEEE Internet Things J. 11(9): 16196-16211 (2024)- [j39]Anran Yuan, Dingchen Wang, Jing Bai, Zhu Xiao, Zhongrui Wang, Jianqing Li, Licheng Jiao:
Lightweight and Lifelong Hyperspectral Image Classification via Attention-Based Reservoir Computing. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j38]Jing Bai, Yuheng Lian, Yiran Wang, Junjie Ren, Zhu Xiao, Huaji Zhou, Licheng Jiao:
An Interpretable Explanation Approach for Signal Modulation Classification. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - 2023
- [j37]Jingyi Ding, Tiwen Wang, Ruohui Cheng, Licheng Jiao, Jianshe Wu, Jing Bai:
Community evolution prediction based on a self-adaptive timeframe in social networks. Knowl. Based Syst. 275: 110687 (2023) - [j36]Licheng Jiao, Xin Zhang, Xu Liu, Fang Liu, Shuyuan Yang, Wenping Ma, Lingling Li, Puhua Chen, Zhixi Feng, Yuwei Guo, Xu Tang, Biao Hou, Xiangrong Zhang, Jing Bai, Dou Quan, Junpeng Zhang:
Transformer Meets Remote Sensing Video Detection and Tracking: A Comprehensive Survey. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 1-45 (2023) - [j35]Licheng Jiao, Zhongjian Huang, Xu Liu, Yuting Yang, Mengru Ma, Jiaxuan Zhao, Chao You, Biao Hou, Shuyuan Yang, Fang Liu, Wenping Ma, Lingling Li, Puhua Chen, Zhixi Feng, Xu Tang, Yuwei Guo, Xiangrong Zhang, Dou Quan, Shuang Wang, Weibin Li, Jing Bai, Yangyang Li, Ronghua Shang, Jie Feng:
Brain-Inspired Remote Sensing Interpretation: A Comprehensive Survey. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 2992-3033 (2023) - [j34]Licheng Jiao, Zhongjian Huang, Xiaoqiang Lu, Xu Liu, Yuting Yang, Jiaxuan Zhao, Jinyue Zhang, Biao Hou, Shuyuan Yang, Fang Liu, Wenping Ma, Lingling Li, Xiangrong Zhang, Puhua Chen, Zhixi Feng, Xu Tang, Yuwei Guo, Dou Quan, Shuang Wang, Weibin Li, Jing Bai, Yangyang Li, Ronghua Shang, Jie Feng:
Brain-Inspired Remote Sensing Foundation Models and Open Problems: A Comprehensive Survey. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 10084-10120 (2023) - [j33]Vincent Havyarimana, Zhu Xiao, Thabo Semong, Jing Bai, Hongyang Chen, Licheng Jiao:
Achieving Reliable Intervehicle Positioning Based on Redheffer Weighted Least Squares Model Under Multi-GNSS Outages. IEEE Trans. Cybern. 53(2): 1039-1050 (2023) - [j32]Zhu Xiao, Hui Fang, Hongbo Jiang, Jing Bai, Vincent Havyarimana, Hongyang Chen, Licheng Jiao:
Understanding Private Car Aggregation Effect via Spatio-Temporal Analysis of Trajectory Data. IEEE Trans. Cybern. 53(4): 2346-2357 (2023) - [j31]Jing Bai, Ruotong Liu, Hai-Sheng Zhao, Zhu Xiao, Zheng Chen, Wei Shi, Yong Xiong, Licheng Jiao:
Hyperspectral Image Classification Using Geometric Spatial-Spectral Feature Integration: A Class Incremental Learning Approach. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - 2022
- [j30]Zhe Wu, Jiaji Wu, Tan Qu, Zhensen Wu, Qiang Xu, Haiying Li, Lin Yang, Xiangshuai Meng, Jing Bai:
Scattering Characteristics of an Electrically-Large Aircraft Object Illuminated by Bessel Vortex Beams. IEEE Access 10: 126023-126029 (2022) - [j29]Huaji Zhou, Jing Bai, Linchun Niu, Jie Xu, Zhu Xiao, Shilian Zheng, Licheng Jiao, Xiaoniu Yang:
Electromagnetic Signal Classification Based on Class Exemplar Selection and Multi-Objective Linear Programming. Remote. Sens. 14(5): 1177 (2022) - [j28]Jing Bai, Jiawei Lu, Zhu Xiao, Zheng Chen, Licheng Jiao:
Generative Adversarial Networks Based on Transformer Encoder and Convolution Block for Hyperspectral Image Classification. Remote. Sens. 14(14): 3426 (2022) - [j27]Jing Bai, Anran Yuan, Zhu Xiao, Huaji Zhou, Dingchen Wang, Hongbo Jiang, Licheng Jiao:
Class Incremental Learning With Few-Shots Based on Linear Programming for Hyperspectral Image Classification. IEEE Trans. Cybern. 52(6): 5474-5485 (2022) - [j26]Jing Bai, Wentao Yu, Zhu Xiao, Vincent Havyarimana, Amelia C. Regan, Hongbo Jiang, Licheng Jiao:
Two-Stream Spatial-Temporal Graph Convolutional Networks for Driver Drowsiness Detection. IEEE Trans. Cybern. 52(12): 13821-13833 (2022) - [j25]Jing Bai, Bixiu Ding, Zhu Xiao, Licheng Jiao, Hongyang Chen, Amelia C. Regan:
Hyperspectral Image Classification Based on Deep Attention Graph Convolutional Network. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j24]Jing Bai, Shaojie Huang, Zhu Xiao, Xianmin Li, Yongdong Zhu, Amelia C. Regan, Licheng Jiao:
Few-Shot Hyperspectral Image Classification Based on Adaptive Subspaces and Feature Transformation. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j23]Jing Bai, Junjie Ren, Yujia Yang, Zhu Xiao, Wentao Yu, Vincent Havyarimana, Licheng Jiao:
Object Detection in Large-Scale Remote-Sensing Images Based on Time-Frequency Analysis and Feature Optimization. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j22]Jing Bai, Wei Shi, Zhu Xiao, Amelia C. Regan, Talal Ahmed Ali Ali, Yongdong Zhu, Rui Zhang, Licheng Jiao:
Hyperspectral Image Classification Based on Superpixel Feature Subdivision and Adaptive Graph Structure. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j21]Jing Bai, Zheng Wen, Zhu Xiao, Fawang Ye, Yongdong Zhu, Mamoun Alazab, Licheng Jiao:
Hyperspectral Image Classification Based on Multibranch Attention Transformer Networks. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j20]Jing Bai, Yang Zhang, Zhu Xiao, Fawang Ye, You Li, Mamoun Alazab, Licheng Jiao:
Immune Evolutionary Generative Adversarial Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j19]Jing Bai, Yiran Wang, Zhu Xiao, Mamoun Alazab:
RffAe-S: Autoencoder Based on Random Fourier Feature With Separable Loss for Unsupervised Signal Modulation Clustering. IEEE Trans. Ind. Informatics 18(11): 7910-7919 (2022) - [j18]Zhu Xiao, Hui Fang, Hongbo Jiang, Jing Bai, Vincent Havyarimana, Hongyang Chen:
Understanding Urban Area Attractiveness Based on Private Car Trajectory Data Using a Deep Learning Approach. IEEE Trans. Intell. Transp. Syst. 23(8): 12343-12352 (2022) - [j17]Yiran Wang, Jing Bai, Zhu Xiao, Huaji Zhou, Licheng Jiao:
MsmcNet: A Modular Few-Shot Learning Framework for Signal Modulation Classification. IEEE Trans. Signal Process. 70: 3789-3801 (2022) - [c10]Huaji Zhou, Xu Wang, Jing Bai, Zhu Xiao:
MODULATION SIGNAL RECOGNITION BASED ON SELECTIVE KNOWLEDGE TRANSFER. GLOBECOM 2022: 1875-1880 - [c9]Ruotong Liu, Yue Yin, Jing Bai, Xu Wang:
Knowledge Learning Without Forgetting for the Detection of Alzheimer's Disease. IFIP TC12 ICIS 2022: 441-449 - [c8]Weikang Jin, Yue Yin, Jing Bai, Haowei Zhen:
CA-ConvNeXt: Coordinate Attention on ConvNeXt for Early Alzheimer's Disease Classification. IFIP TC12 ICIS 2022: 450-457 - [c7]Xu Wang, Huaji Zhou, Zheng Chen, Jing Bai, Junjie Ren, Jiao Shi:
Few-Shot SAR Ship Image Detection Using Two-Stage Cross-Domain Transfer Learning. IGARSS 2022: 2195-2198 - [c6]Yue Yin, Weikang Jin, Jing Bai, Ruotong Liu, Haowei Zhen:
SMIL-DeiT: Multiple Instance Learning and Self-supervised Vision Transformer network for Early Alzheimer's disease classification. IJCNN 2022: 1-6 - [c5]Huaji Zhou, Zichen Zhou, Jing Bai:
Electromagnetic Signal Modulation Classification Based on Multimodal Features and Reinforcement Learning. IJCNN 2022: 1-7 - [i1]Sinan Tan, Hui Xue, Qiyu Ren, Huaping Liu, Jing Bai:
An Automated Question-Answering Framework Based on Evolution Algorithm. CoRR abs/2201.10797 (2022) - 2021
- [j16]Fan Zhang, Jing Bai, Jingsen Zhang, Zhu Xiao, Changxing Pei:
An Optimized Training Method for GAN-Based Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 18(10): 1791-1795 (2021) - [c4]Size Liu, Bixiu Ding, Jing Bai, Zhu Xiao:
Hyperspectral Image Classification Based on Extended Morphological Profile Features and Ghost Module. IGARSS 2021: 3617-3620 - 2020
- [j15]Wentao Yu, Jing Bai, Licheng Jiao:
Background Subtraction Based on GAN and Domain Adaptation for VHR Optical Remote Sensing Videos. IEEE Access 8: 119144-119157 (2020) - [j14]Zhu Xiao, Fancheng Li, Hongbo Jiang, Jing Bai, Jisheng Xu, Fanzi Zeng, Min Liu:
A Joint Information and Energy Cooperation Framework for CR-Enabled Macro-Femto Heterogeneous Networks. IEEE Internet Things J. 7(4): 2828-2839 (2020) - [j13]Vincent Havyarimana, Zhu Xiao, Alexis Sibomana, Di Wu, Jing Bai:
A Fusion Framework Based on Sparse Gaussian-Wigner Prediction for Vehicle Localization Using GDOP of GPS Satellites. IEEE Trans. Intell. Transp. Syst. 21(2): 680-689 (2020) - [c3]Jing Bai, Wentao Yu, Anran Yuan, Zhu Xiao:
Airplane Detection in Optical Remote Sensing Video Using Spatial and Temporal Features. IJCNN 2020: 1-7
2010 – 2019
- 2019
- [j12]Jie Chen, Zhu Xiao, Dong Wang, Wang-Chen Long, Jing Bai, Vincent Havyarimana:
Stay Time Prediction for Individual Stay Behavior. IEEE Access 7: 130085-130100 (2019) - [j11]Fanzi Zeng, Xiang Xiao, Zhu Xiao, Jingru Sun, Jing Bai, Vincent Havyarimana, Hongbo Jiang:
Throughput Maximization for Two-Way Buffer-Aided and Energy-Harvesting Enabled Multi-Relay Networks. IEEE Access 7: 157972-157986 (2019) - [j10]Fan Zhang, Jing Bai, Xiaoyu Li, Changxing Pei, Vincent Havyarimana:
An Ensemble Cascading Extremely Randomized Trees Framework for Short-Term Traffic Flow Prediction. KSII Trans. Internet Inf. Syst. 13(4): 1975-1988 (2019) - [j9]Jianhua Xiao, Zhu Xiao, Dong Wang, Jing Bai, Vincent Havyarimana, Fanzi Zeng:
Short-term traffic volume prediction by ensemble learning in concept drifting environments. Knowl. Based Syst. 164: 213-225 (2019) - [j8]Yourong Huang, Zhu Xiao, Xiaoyou Yu, Dong Wang, Vincent Havyarimana, Jing Bai:
Road Network Construction with Complex Intersections Based on Sparsely Sampled Private Car Trajectory Data. ACM Trans. Knowl. Discov. Data 13(3): 35:1-35:28 (2019) - 2018
- [j7]Fanzi Zeng, Qiao Li, Zhu Xiao, Vincent Havyarimana, Jing Bai:
A Price-Based Optimization Strategy of Power Control and Resource Allocation in Full-Duplex Heterogeneous Macrocell-Femtocell Networks. IEEE Access 6: 42004-42013 (2018) - [j6]Wei Zhao, Liangjie Xu, Jing Bai, Menglu Ji, Troy Runge:
Sensor-based risk perception ability network design for drivers in snow and ice environmental freeway: a deep learning and rough sets approach. Soft Comput. 22(5): 1457-1466 (2018) - [j5]Jing Bai, Shu Song, Ting Fan, Licheng Jiao:
Medical image denoising based on sparse dictionary learning and cluster ensemble. Soft Comput. 22(5): 1467-1473 (2018) - [c2]Yueen Ma, Vincent Havyarimana, Jing Bai, Zhu Xiao:
Vision-Based Lane Detection and Lane-Marking Model Inference: A Three-Step Deep Learning Approach. PAAP 2018: 183-190 - 2017
- [j4]Jing Bai, Wenhao Zhang, Zhenzhen Gou, Licheng Jiao:
Nonlocal-Similarity-Based Sparse Coding for Hyperspectral Imagery Classification. IEEE Geosci. Remote. Sens. Lett. 14(9): 1474-1478 (2017) - [j3]Jing Bai, Bin Liu, Lei Wang, Licheng Jiao:
PolSAR image compression based on online sparse K-SVD dictionary learning. Multim. Tools Appl. 76(23): 24859-24870 (2017) - [c1]Jiao Shi, Yu Lei, Jing Bai, Jiaji Wu:
Gradually evolved fuzzy active contour model for auroral oval segmentation. IGARSS 2017: 3771-3774 - 2015
- [j2]Lei Wang, Jing Bai, Jiaji Wu, Gwanggil Jeon:
Hyperspectral image compression based on lapped transform and Tucker decomposition. Signal Process. Image Commun. 36: 63-69 (2015) - 2011
- [j1]Licheng Jiao, Lei Wang, Jiaji Wu, Jing Bai, Shuang Wang, Biao Hou:
Shape-Adaptive Reversible Integer Lapped Transform for Lossy-to-Lossless ROI Coding of Remote Sensing Two-Dimensional Images. IEEE Geosci. Remote. Sens. Lett. 8(2): 326-330 (2011)
Coauthor Index
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last updated on 2024-05-14 23:18 CEST by the dblp team
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