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Personal Information

Master Tutor

Date of Employment:2020-09-29

School/Department:人工智能学院

Education Level:With Certificate of Graduation for Doctorate Study

Degree:Doctoral Degree in Engineering

Professional Title:Associate professor

Status:在岗

Alma Mater:湖南大学

Profile

汤龙,副教授,硕士生导师,2013年毕业于湖南大学获工学博士学位;2017-2018年获国家留学基金委公派留学项目资助赴美国佛罗里达大学工业与系统工程学院做访问学者。多年来围绕人工智能、数据挖掘,模式识别,机器视觉等开展深入研究;近五年主持国家自然科学基金项目、广东省自然科学基金面上项目、江苏省自然科学基金面上项目,中国博士后基金面上一等资助、广东省高等学校科学基金项目等国家级与省部级课题若干;以第一作者的身份高水平SCI学术期刊上发表论文十余篇,授权发明专利4项;担任IEEE Trans on Cybernetics, IEEE Trans on Image Processing, Neural Networks, Journal of Supercomputing, Computers and Operations Research等国际期刊审稿人,2020年当选中国人工智能学会会刊“CAAI Transactions on Intelligence Technology”首届青年编委会成员,同年当选中国人工智能学会可拓学专业委员会常务委员、副秘书长。 课题组与中国科学院、中车集团、广东工业大学、重庆邮电大学等开展密切合作,长期招收电子信息和人工智能类的硕士研究生以及有志于从事科学研究的本科生,数学和编程基础扎实更佳。本人长期活跃在科研第一线,可在idea选题、研究过程、论文写作等方面给予全方位的指导。指导的2023,2024届毕业生均发表SCI一区top论文和授权发明专利。主持的科研课题1.中国博士后科学基金面上资助一等(2022M720068),2022.11-2024.11,12万元,在研2.江苏省基础研究计划自然科学基金面上项目(BK20221341),2022.07-2025.06,10万元,在研3.南京信息工程大学人才科研启动项目(2021r046),2021.03-2023.10,30万元,在研4.国家自然科学基金青年科学基金项目(61503085),2016.01-2018.12,22万元,已结题5.广东省基础研究计划自然科学基金面上项目(2017A030313348),2017.05-2020.05,10万元,已结题6.广东省高等学校自然科学研究项目(2014KQNCX064),2015.01-2016.12,5万元,已结题7.广东工业大学青年教师培育计划项目,2019.01-2019.12,5万元,已结题部分学术论文Long Tang*, Pengfei Yan, Yingjie Tian, Panos M. Pardalos. Self-adaptive label discovery and multi-view fusion for complementary label learning, Neural Networks, 2025, 181, 106763.Long Tang*, Jingtao Zhao, Yingjie Tian, Changhua Yao, Panos M. Pardalos. Instance-wise multi-view visual fusion for zero-Shot learning, Applied Soft Computing, 2024, 167, 112339.Long Tang*, Ziyun Zhou, Yingjie Tian, Panos M. Pardalos. Robust Pcomp classification using multi-view pairwise data with positive confidence priority, Knowledge-based Systems, 2024, 299, 112101.Long Tang, Pan Zhao, Zhigeng Pan*, Xingxing Duan, Panos M. Pardalos. A two-stage denoising framework for zero-shot learning with noisy labels, Information Sciences, 2024, 654, 119852.Saiji Fu, Yingjie Tian*, Long Tang. Robust regression under the general framework of bounded loss functions, European Journal of Operational Research, 2023, 310, 1325-1339.Long Tang*, Yingjie Tian, Xiaowei Wang, Panos M. Pardalos. A simple and reliable instance selection for fast training support vector machine: Valid Border Recognition, Neural Networks, 2023, 166, 379-395.Yanrong Jiang , Long Tang , Hailin Liu, An Zeng*. A variable-length encoding genetic algorithm for incremental service composition in uncertain environments for cloud manufacturing, Applied Soft Computing, 2022, 123, 108902.Long Tang*, Yingjie Tian, Wenjun Li, Panos M. Pardalos*. Valley-loss regular simplex support vector machine for robust multiclass classification, Knowledge-based Systems, 2021, 216, 106801.Long Tang, Yingjie Tian, Wenjun Li, Panos M. Pardalos*. Structural improved regular simplex support vector machine for multiclass classification, Applied Soft Computing, 2020, 91, 106235. Long Tang, Yingjie Tian, Panos M. Pardalos*. A novel perspective on multiclass classification: regular simplex support vector machine. Information Sciences, 2019, 480: 324-338.Long Tang, Yingjie Tian*, Chunyan Yang. Nonparallel support vector regression model and its SMO-type solver. Neural Networks, 2018, 105: 431-446.Long Tang, Yingjie Tian, Chunyan Yang, Pan. M Pardalos*. Ramp-loss nonparallel support vector regression: robust, sparse and scalable approximation. Knowledge-based Systems, 2018, 147: 55-67. Long Tang*, Chunyan Yang, Weihua Li, Adopting GEP to generate extension strategies for incompatible problem. Neural Computing & Applications, 2017, 28(9): 2649-2664.授权发明专利1. 汤龙、赵靖涛,一种基于实例的多视角视觉融合转导式零样本分类方法,中国发明专利,授权号:ZL 2024 1 0017127.82. 汤龙、周子昀,一种基于多视角对比置信度的图片识别方法及装置,中国发明专利,授权号:ZL 2023 1 1512633.63. 汤龙、刘业磊,一种基于多视角补标签的图片分类方法与系统,中国发明专利,授权号:ZL 2023 1 1570268.44. 汤龙、唐昕航、潘志庚,一种多视角零样本图像识别方法,中国发明专利,授权号:ZL 2022 1 1390481.2学术专著杨春燕、蔡文、汤龙,《可拓学》(第二版),科学出版社,2024.教学工作承担《Python程序设计》、《最优化方法》、《机器学习》等多门人工智能专业基础课程的教学工作。指导学生情况研究生2023级:赵一霖(在读)、司昕(在读)2022级:闫鹏飞(在读)2021级:周子昀(发表SCI一区论文、授权发明专利)、赵靖涛(授权发明专利)、赵攀(协作指导)(发表SCI一区论文、获国际工程心理学研究所“IIEP科研奖学金”)本科生2022级:陈芷薇、刘家豪、崔灿、顾熠、袁周宇2019级:唐昕航(授权发明专利)、刘业磊(授权发明专利,投稿SCI一区论文,保研南理工)欢迎电子信息和人工智能类的研究生和本科生联系!办公地点:临江楼A1909,Email:003367@nuist.edu.cn

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