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刘文

发布时间:2019-08-30     字体:[增加 减小]

 

 

个人简介:

刘文,副教授,深圳大学计算机与软件学院访问学者,新加坡科技研究局高性能计算研究所访问学者,湖北省“楚天学者计划”入选者和舟山市“5313”行动计划科技创业领军团队带头人;2009年本科毕业于武汉理工大学信息与计算科学专业,2015年获香港中文大学哲学博士学位,中国科学院自动化研究所访问学生。针对船舶通航安全监管、智能导助航和海事智能交通系统等应用需求,围绕海事多源信息感知与计算等应用基础研究问题,重点开展计算机视觉、数据挖掘、机器学习和信息融合等理论与技术研究。近年来在IEEE Internet of Things JournalIEEE Transactions on Intelligent Transportation SystemsIEEE Transactions on Industrial InformaticsInformation SciencesOcean EngineeringThe Journal of Navigation等重要学术期刊与IEEE CVPRICASSPITSCICPRICIP等重要学术会议发表论文50余篇(ESI高被引论文2篇);授权发明专利5项(已向企业转化2项);研究成果获2018年中国水运建设行业协会科学技术奖一等奖,2017-2018年度中国航海科技期刊论文二等奖,2019年机器学习和计算国际会议(ICMLC)优秀报告奖,有关图像去雾的研究论文入选人工智能领域重要国际会议IEEE ICIP-2019Top 10% Papers。担任SCI期刊International Journal on Semantic Web and Information Systems (CCF-C)副主编;SCI期刊Journal of Advanced TransportationSensors客座编辑(Lead Guest Editor);中文学术期刊《智能科学与技术学报》、《计算机科学》和《地球信息科学学报》专刊编委;《交通运输工程学报》(EI检索)和《计算机工程》青年编委;以色列科技部基金项目和国家自然科学基金项目评审专家。

 

研究方向:计算机视觉、数据挖掘、机器学习和信息融合

联系方式:wenliu“AT”whut.edu.cn

个人网站:http://mipc.whut.edu.cn

 

学术论文:

[1]      Maohan Liang, Yang Zhan, Ryan Wen Liu*. MVFFNet: Multi-View Feature Fusion Network for Imbalanced Ship Classification. Pattern Recognition Letters, 2021, 151: 26-32 (CCF-C)

[2]      Yu Guo, Yuxu Lu, Ryan Wen Liu*. Lightweight Deep Network-Enabled Real-Time Low-Visibility Enhancement for Promoting Vessel Detection in Maritime Video Surveillance. The Journal of Navigation, 2021.

[3]      Ryan Wen Liu, Jiangtian Nie, Sahil Garg, et al. Data-Driven Trajectory Quality Improvement for Promoting Intelligent Vessel Traffic Services in 6G-Enabled Maritime IoT Systems, IEEE Internet of Things Journal, 2021, 8(7): 5374-5385. (中科院一区期刊,ESI高被引论文)

[4]      Ryan Wen Liu, Weiqiao Yuan, Xinqiang Chen, Yuxu Lu. An Enhanced CNN-Enabled Learning Method for Promoting Ship Detection in Maritime Surveillance System. Ocean Engineering, 2021, 235: 109435. (中科院一区期刊)

[5]      Maohan Liang, Ryan Wen Liu*, Shichen Li, et al. An Unsupervised Learning Method with Convolutional Auto-Encoder for Vessel Trajectory Similarity Computation. Ocean Engineering, 2021, 225: 108803. (中科院一区期刊)

[6]      Zhe Xiao, Xiuju Fu, Liye Zhang, Wanbing Zhang, Ryan Wen Liu, Zhao Liu, Rick Siow Mong Goh. Big Data Driven Vessel Trajectory and Navigating State Prediction with Adaptive Learning, Motion Modeling and Particle Filtering Techniques. IEEE Transactions on Intelligent Transportation Systems, 2021. (CCF-B, 中科院一区期刊)

[7]      Qiaohong Li, Sahil Garg, Jiangtian Nie, Xiang Li, Ryan Wen Liu. A Highly Efficient Vehicle Taillight Detection Approach Based on Deep Learning. IEEE Transactions on Intelligent Transportation Systems, 2021, 22 (7): 4716-4726. (CCF-B, 中科院一区期刊)

[8]      Jun Liu, Ryan Wen Liu, Jianing Sun, Tieyong Zeng. Rank-One Prior: Toward Real-Time Scene Recovery. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2021), Virtually, 19-25 June, 2021. (CCF-A, 人工智能领域顶级会议)

[9]      Yu Huang, Yan Li, Zhaofeng Zhang*, Ryan Wen Liu*. GPU-Accelerated Compression and Visualization of Large-Scale Vessel Trajectories in Maritime IoT Industries, IEEE Internet of Things Journal, 2020, 7(11): 10794-10812. (中科院一区期刊)

[10]   Huanhuan Li, Jingxian Liu, Zaili Yang*, Ryan Wen Liu*. Adaptively Constrained Dynamic Time Warping for Time Series Classification and Clustering, Information Sciences, 2020, 534: 97-116. (CCF-B,中科院一区期刊)

 

科研项目:

1.面向海难搜救的红外微信息源探测与识别方法研究,海南省科技计划三亚崖州湾科技城联合项目,2021.04-2023.12

2.目标信息融合软件模块,研究所委托项目,2021.05-2022.06

3.复杂海况下海上舰艇无人综合搜救体系论证与关键技术研究,军队后勤开放研究重点项目,2019.06-2021.12

4.深海应急响应示范系统构建—水下目标协同搜寻与定位技术,国家重点研发计划重点专项,2018.07-2021.12

5.某数据挖掘可视化分析系统,高校委托项目,2020.10-2020.12

恶劣通航环境下无人水面艇视觉感知增强方法研究,国家自然科学基金项目,2017.01-2019.12 

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