基本情况
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姓 名： |
白双 |
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职 务： |
博士生导师 |
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职 称： |
教授 |
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学 历： |
研究生 |
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学 位： |
博士 |
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通信地址： |
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邮 编： |
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办公电话： |
010 51688396 |
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电子邮箱： |
教育背景
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2009.10-2013.03 名古屋大学，信息科学研究科，智能媒体工程专业 博士 2007.09-2009.06 天津大学，电气与自动化工程学院，检测技术与自动化装置专业 硕士 2003.09-2007.07 天津大学，电气与自动化工程学院，自动化专业 本科 |
工作经历
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2022.12 - 至今 北京交通大学，电子信息工程学院， 教授、博士生导师 2016.12 - 2022.12 北京交通大学，电子信息工程学院， 副教授、博士生导师 2013.04 - 2016.12 北京交通大学，电子信息工程学院， 讲师 |
研究方向
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招生专业
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科研项目
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主要研究方向包括：计算机视觉、智能感知、机器学习、深度学习、人工智能等：
• 红果园（横）：人工智能算法库及平台建设，2024-2027，主持
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教学工作
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主讲本科课程：模拟电子技术，数字电子技术(全英文授课)，人工智能基础 主讲研究生课程：深度学习算法及实现 |
论文/期刊
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• Chen liang, Shuang Bai*. Found Missing Semantics: Supplemental Prototype Network for Few-Shot Semantic Segmentation. Computer Vision and Image Understanding, 2024. • Shuang Bai, Chen Liang, Zhen Wang, Wenchao Pan. Information entropy induced graph convolutional network for semantic segmentation. Journal of Visual Communication and Image Representation,vol.103,104217, 2024.(SCI检索) • Lingxing Kong, Kailong Liu, Deyi Fu, Boyong Liu,Jingkai Ma, Huini Sun, Shuang Bai*. Wind power regression prediction based on stacked LSTMs with attention mechanisms for evaluating technological improvement effects of wind turbines. Journal of Intelligent & Fuzzy Systems, pp.1-12, 2023.(SCI检索) • 白双，梁晨. 深度学习研究生课程教学探索与实践, 工业和信息化教育, 2023. • Wenchao Gu, Shuang Bai*, Contour and Enclosed Region Refining for Contour-based Instance Segmentation, IEEE Transactions on Cognitive and Developmental Systems, vol.105, no.4, pp.2241-2253, 2023.(SCI检索) • Wenchao Gu, Shuang Bai*, Lingxing Kong, A review on 2D instance segmentation based on deep neural networks, Image and Vision Computing,Volume 120,2022.(SCI检索) • Shuang Bai, Wenchao Gu, Lingxing Kong. Interweave features of Deep Convolutional Neural Networks for semantic segmentation. Engineering Applications of Artificial Intelligence, Volume 109, 2022.(SCI检索) • Shuang Bai, Congcong Wang, Information Aggregation and Fusion in Deep Neural Networks for Object Interaction Exploration for Semantic Segmentation, Knowledge-Based Systems, vol.218, 2021.(SCI检索) • Shuang Bai, Huadong Tang, Shan An, Coordinate CNNs and LSTMs to categorize scene images with multi-views and multi-levels of abstraction, Expert Systems With Applications, vol.120, 298–309, 2019.(SCI检索) • Shuang Bai, Chao Han, Shan An, Recognizing Anomalies in Urban Road Scenes Through Analysing Single Images Captured by Cameras on Vehicles, Sensing and Imaging, doi.org/10.1007/s11220-018-0218-7, 2018.(EI检索) • Shuang Bai, Shan An, A survey on automatic image caption generation, Neurocomputing, vol.311, 291–304, 2018. (SCI检索) • Shuang Bai, Huadong Tang, Softly combining an ensemble of classifiers learned from a single convolutional neural network for scene categorization, Applied Soft Computing, vol.67, pp.183-196, 2018. (SCI检索) • Shuang Bai, Huadong Tang, Categorizing Scenes by Exploring Scene Part Information without Constructing Explicit Models, Neurocomputing, vol.281, pp.160-168, 2018. (SCI检索) • Shuang Bai, Zhenyao Liu, Chang Yao, Classify vehicles in traffic scene images with deformable part-based models, Machine Vision and Applications, vol.29, no.03, pp. 393-403, 2018. (SCI检索) • Shuang Bai, Scene Categorization Through Using Objects Represented by Deep Features, International Journal of Pattern Recognition and Artificial Intelligence, vol. 31, no.09, 2017. (SCI检索) • Shuang Bai, Growing Random Forest on Deep Convolutional Neural Networks for Scene Categorization, Expert Systems with Applications, vol. 71, pp. 279-287, 2017. (SCI检索) • Shuang Bai, Zhaohong Li, Jianjun Hou, Learning two-pathway convolutional neural networks for categorizing scene images, Multimedia Tools and Applications, vol.76, no.15, pp.16145-16162, 2017. (SCI检索) • Shuang Bai, Chao Han and Jianjun Hou, Enhancing details in images for performing scene categorization, Journal of Electronic Imaging, vol. 24, no.04, 2016. (SCI检索) • Shuang Bai, Jianjun Hou and Noboru Ohnishi, Scene categorization through combining LBP and SIFT features effectively, International Journal of Pattern Recognition and Artificial Intelligence, vol.30, no.01, 2016. (SCI检索) • Shuang Bai, Human-centric image categorization based on poselets, Sensing and Imaging, vol.16, no.01, pp.1-19, 2015. (EI检索) • Shuang Bai, Jianjun Hou and Noboru Ohnishi, Combining LBP and SIFT in sparse coding for categorizing scene images, IEICE Transactions on Information and Systems, vol. E97-D, no.09, pp.2563-2566, 2014. (SCI检索) • Shuang Bai, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo and Noboru Ohnishi, A novel method for exploring patch-level context to improve image categorization performance, IEEJ Transactions on Electronics, Information and Systems, vol.133, no.12, pp.2264-2274, 2013. (EI检索) • Shuang Bai, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo and Noboru Ohnishi, Informative Patches Sampling for Image Classification by Utilizing Bottom-up and Top-down Information, Machine Vision and Applications, vol. 24, no.05, pp 959-970, 2013. (SCI检索) • Shuang Bai, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo and Noboru Ohnishi, Incorporating Contextual Information into Bag of Visual Words Framework for Effective Object Categorization, IEICE Transactions on Information and Systems, vol.E95-D, no.12, pp.3060-3068, 2012. (SCI检索) • Shuang Bai, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi, Incorporating Top-Down Guidance for Extracting Informative Patches for Image Classification, IEICE Transactions on Information and Systems, vol. E95-D, no. 03, pp.880-883, 2012. (SCI检索)
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专著/译著
专利
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软件著作权
获奖与荣誉
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第十一届全国高校电工电子基础课程实验教学案例设计竞赛，全国一等奖，2024年。 北京市优秀硕士毕业生指导教师，2024年。
北京交通大学优秀硕士学位论文指导教师，2024年。
北京交通大学优秀硕士学位论文指导教师，2023年。 北京交通大学优秀硕士学位论文指导教师，2022年。 火箭军“智箭火眼”人工智能挑战赛，二等奖，2021年。 |
社会兼职
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IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Multimedia, IEEE Transactions on Intelligent Transportation Systems, IEEE Access, IEEE/CAA Journal of Automatica Sinica, Expert Systems with Applications, Neurocomputing, Mathematical Problems in Engineering, 北京交通大学学报，计算机科学等期刊审稿人 |