王雷全，博士，硕士生导师。2012年6月毕业于北京邮电大学信息与通信工程专业，获得工学博士学位，专业领域为机器学习与计算机视觉。目前科研兴趣包括：跨媒体检索、图像/视频描述、视频理解、遥感分析、深度学习理论与应用等。目前以第一作者或通信作者发表SCI论文20余篇，主持和参加多项国家自然科学基金、科技部、教育部以及企业合作项目，指导本科生与研究生参加国际、国内竞赛。
通讯地址：山东省青岛市黄岛区长江西路66号工科E座1117室

计算机视觉，遥感分析，深度学习

《机器学习》、《深度学习前沿与实践》

1.国家重点研发计划重点专项，2018YFC1406200，海洋数值预报云计算技术研究及应用示范，2019/01-2021/12，134万元，在研，参与。
2.山东省自然科学基金，ZR2019MF012 自组织脉冲神经膜系统的计算性能及其在智慧海洋环境预报中的应用研究，20万元，2019/01-2021/12，在研，参与。
3.山东省自然科学基金，ZR2019MD023，基于遥感监测大数据的绿潮漂移预测方法研究，2019/01-2021/12，19万元，在研，参与。
4.中央高校基本科研业务自主创新科研计划项目，19CX05003A-11，海洋能源与信息工程学科科技专项子课题-11，2019/01-2021/12，20万元，在研，主持。
5.中央高校基本科研业务自主创新科研计划项目，17CX02041A，多模态融合与跨模态关联协同的跨媒体理解与检索，2017/01-2019/12，10万元，结题，主持。
6. 面向人工智能课程群的智能视觉实验平台建设，校级教学改革项目，主持。
7. 深度学习Tensorflow实践，研究生教学改革项目，主持。

DBLP：https://dblp.org/pid/150/8440.html
researchgate ：https://www.researchgate.net/scientific-contributions/Leiquan-Wang-2082392509

[1] Leiquan Wang, Yao Lin, Jinyun Liu, Zhongwei Li, and Chunlei Wu. Siamese spectral attention with channel consistency for hyperspectral image classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.,14:10226–10241, 2021. (SCI二区)

[2] Chunlei Wu, Jie Wu, Haiwen Cao, Yiwei Wei, and Leiquan Wang*. Dual-view semantic inference network for image-text matching. Neurocomputing, 426:47–57, 2021. (SCI二区，通信作者)

[3] Zhongwei Li, Xingshuai Cui, Leiquan Wang*, Hao Zhang, Xue Zhu,and Yajing Zhang. Spectral and spatial global context attention for hyperspectral image classification. Remote. Sens., 13(4):771, 2021. (SCI二区，通信作者)

[4] Zhongwei Li, Xue Zhu, Ziqi Xin, Fangming Guo, Xingshuai Cui, and Leiquan Wang. Variational generative adversarial network with crossed spatial and spectral interactions for hyperspectral image classification. Remote. Sens., 13(16):3131, 2021. (SCI二区，通信作者)

[5] Fangming Guo, Zhongwei Li, Ziqi Xin, Xue Zhu, Leiquan Wang, and Jie Zhang. Dual graph u-nets for hyperspectral image classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 14:8160–8170, 2021. (SCI二区)

[6] Chunlei Wu, Jiangnan Wang, Shaozu Yuan, Leiquan Wang, and Weishan Zhang. Generate classical chinese poems with theme-style from images. Pattern Recognit. Lett., 149:75–82, 2021. (SCI三区)

[7] Zhongwei Li, Fangming Guo, Qi Li, Guangbo Ren, and Leiquan Wang*. An encoder-decoder convolution network with fine-grained spatial information for hyperspectral images classification. IEEE Access, 8:33600–33608, 2020.

[8] Chunlei Wu, Shaozu Yuan, Haiwen Cao, Yiwei Wei, and Leiquan Wang. Hierarchical attention-based fusion for image caption with multi-grained rewards. IEEE Access, 8:57943–57951, 2020.

[9] Yiwei Wei, Leiquan Wang, Haiwen Cao, Mingwen Shao, and Chunlei Wu. Multi-attention generative adversarial network for image captioning. Neurocomputing, 387:91–99, 2020.

[10] Chunlei Wu, Haiwen Cao, Weishan Zhang, Leiquan Wang, Yiwei Wei, and Zexin Peng. Refined spatial network for human action recognition. IEEE Access, 7:111043–111052, 2019.

[11] Li Du, Zixuan Wang, Leiquan Wang, Zhicheng Zhao, Fei Su, Bojin Zhuang, and Nikolaos V. Boulgouris. Adaptive visual interaction based multi-target future state prediction for autonomous driving vehicles. IEEE Trans. Veh. Technol., 68(5):4249–4261, 2019.

[12] Xiaomin Wang, Junsan Zhang, Leiquan Wang, Philip S. Yu, Jie Zhu, and Haisheng Li. Video-level multi-model fusion for action recognition. CIKM 2019, Beijing, China, November 3-7, 2019, pages 159–168. ACM, 2019. (CCF B)

[13] Li Du, Zhicheng Zhao, Fei Su, Leiquan Wang, and Chaohong An. Jointly predicting future sequence and steering angles for dynamic driving

scenes. ICASSP 2019, Brighton, United Kingdom, May 12-17, 2019, pages 4070–4074. IEEE, 2019. (CCF B)

[14] Weichen Sun, Fei Su, and Leiquan Wang. Improving deep neural networks with multi-layer maxout networks and a novel initialization method. Neurocomputing, 278:34–40, 2018.

[15] Chunlei Wu, Yiwei Wei, Xiaoliang Chu, Weichen Sun, Fei Su, and Leiquan Wang*. Hierarchical attention-based multimodal fusion for video captioning. Neurocomputing, 315:362–370, 2018. (SCI二区,通信作者)

[16] Leiquan Wang, Xiaoliang Chu, Weishan Zhang, Yiwei Wei, Weichen Sun, and Chunlei Wu. Social image captioning: Exploring visual attention and user attention. Sensors, 18(2):646, 2018. (SCI三区)

[17] Chunlei Wu, Yiwei Wei, Xiaoliang Chu, Fei Su, and Leiquan Wang*. Modeling visual and word-conditional semantic attention for image captioning. Signal Process. Image Commun., 67:100–107, 2018. (SCI三区，通信作者)

[18] Yiwei Wei, Chunlei Wu, Xiaoliang Chu, Weishan Zhang, and Leiquan Wang. Social image captioning with tags-based attention model. SmartData 2018, Halifax, NS, Canada, July 30 - August 3, 2018, pages 1719–1724. IEEE, 2018.

[19] Leiquan Wang*, Weichen Sun, Zhicheng Zhao, and Fei Su. Modeling intra- and inter-pair correlation via heterogeneous high-order preserving for cross-modal retrieval. Signal Process., 131:249–260, 2017. (SCI二区,通信作者)

[20] Leiquan Wang*, Zhicheng Zhao, and Fei Su. Efficient multi-modal hypergraph learning for social image classification with complex label correlations. Neurocomputing, 171:242–251, 2016. (SCI二区,通信作者)

[21] Jie Shao, Leiquan Wang, Zhicheng Zhao, Fei Su, and Anni Cai. Deep canonical correlation analysis with progressive and hypergraph learning for cross-modal retrieval. Neurocomputing, 214:618–628, 2016.

[22] Leiquan Wang, Zhi-Cheng Zhao, Fei Su, and Weichen Sun. Content-based social image retrieval with context regularization. ICME2014, Chengdu, China, July 14-18, 2014, pages 1–6. IEEE Computer Society, 2014. (CCF B)

[23] Leiquan Wang, Zhi-Cheng Zhao, and Fei Su. Tag-based social image search with hyperedges correlation. VCIP 2014, Valletta, Malta, December 7-10, 2014, pages 330–333. IEEE, 2014.

[24] Weichen Sun, Fei Su, and Leiquan Wang. Improving deep neural networks with multilayer maxout networks. VCIP 2014, Valletta, Malta, December 7-10, 2014, pages 334–337. IEEE, 2014.

1. 边云协同的油气物联网智能决策关键技术及应用  2019  高等学校科学研究优秀成果奖（科学技术）科技进步二等奖中华人民共和国教育部 12/14
2. 校级十佳百优班主任

1：基于视觉与语义注意力相结合策略的图像描述方法及系统ZL201710806029.2排名1
2：融合视觉注意力和语义注意力的图像字幕生成方法及系统ZL201710806115.3排名3
3：基于语义分割和多层注意力框架的视频字幕生成方法ZL201711273239.6 排名3

参与指导博士研究生3名，指导硕士研究生20余名；