
姓名 / Name: 宋宇鹏 / Song Yupeng
职务 / Position: 博士,讲师,硕士研究生导师/ Ph.D., Lecturer, Master's Supervisor
邮箱 / Email: songyp@ynu.edu.cn
地址 / Address: 云南省昆明市呈贡区云南大学云南马来亚学院(现代工学院)3304室 / Room 3304, Yunnan-Malaya Institute (School of Engineering), Yunan University, Kunming, China
个人简介 / Resume
宋宇鹏,博士,讲师,硕士研究生导师,现任云南大学云南马来亚学院(现代工学院)人工智能专业教师,云南大学“青年人才培优计划”引进人才。2024年博士毕业于武汉大学计算机学院,获计算机科学与技术博士学位。研究方向聚焦人工智能及应用领域,长期致力于计算机视觉与计算机图形学的智能交叉创新研究。主持/参与国家级、省部级专项课题7项,发表国际高水平SCI期刊论文11篇。参与完成了多个创新应用型工程项目。中国计算机学会(CCF)会员、中国图象图形学学会(CSIG)会员,并担任CVPR、TGRS、IP&M、CAD等多个国际顶级期刊/会议审稿人。
Song Yupeng, Ph.D., Lecturer, Master’s Supervisor, currently serves as a faculty member in the Artificial Intelligence program at Yunnan University Malaysia College (School of Modern Engineering), Yunnan University. He is a selected talent under Yunnan University's Young Talent Development Program. Dr. Song Yupeng received his Ph.D. degree in Computer Science and Technology from the School of Computer Science, Wuhan University in 2024. His research interests focus on artificial intelligence and its applications, with a long-term commitment to interdisciplinary innovation in computer vision and computer graphics. He has presided over or participated in 7 national and provincial-level research projects and has published 11 papers in high-impact SCI-indexed international journals. He has also been involved in the development of several innovative application-oriented engineering projects. Dr. Song Yupeng is a member of the China Computer Federation (CCF) and the China Society of Image and Graphics (CSIG), and serves as a reviewer for several top-tier international journals and conferences, including CVPR, TGRS, IP&M, and CAD.
教育和工作经历 / Education & Work Experience
2024–至今 云南马来亚学院(现代工学院), 讲师 / Lecturer, Yunnan-Malaya Institute(School of Engineering), Yunnan University
2020–2024 武汉大学,计算机科学与技术,博士 / Ph.D., Wuhan University, Major: Computer Science and Technology.
2017–2020 东北林业大学,软件工程,硕士 / M.S., Northeast Forestry University, Major: Software Engineering.
2013–2017 东北林业大学,软件工程,学士 / B.S., Northeast Forestry University, Major: Software Engineering.
科研项目 / Research Projects
主持项目 / Principal Investigator:
云南大学青年人才培优计划项目,高效语义解析与多场景适应的三维点云智能感知技术,2025-01 至 2027-12,主持
参与项目 / Co-Investigator:
(1)国家自然科学基金委员会,面上项目(NO.62072348),复杂合作势态下协同设计数据保障方法研究2021-01 至 2024-12,参与
(2)科技部,国家重点研发计划项目 (NO.2018AAA001104),基于互联网的群智涌现机理与计算方法,2019-10 至 2022-10,20万元,参与
(3)湖北省技术创新专项,基于健康大数据的智能医疗服务算法与应用, 2019-10 至 2022-10,参与
(4)某** 系统组织** 与**** 在线** 软件研制及******,*** 某部项目,2022-11 至 2023-06,参与
代表性成果 / Representative Publications
[1]. Yupeng Song, Fazhi He*, Yansong Duan, Yaqian Liang, Xiaohu Yan; A kernel correlation-based approach to adaptively acquire local features for learning 3D point clouds, Computer-Aided Design, 2022(146), 103196.(中科院2区,CCF B类期刊,ESI 高被引论文,IF:4.3)
[2]. Yupeng Song, Fazhi He*, Yansong Duan, Tongzhen Si, Junwei Bai; LSLPCT: An enhanced local semantic learning transformer for 3D point cloud analysis, IEEE Transactions on Geoscience and Remote Sensing, 2022(60):1-13. (中科院1区Top期刊,CCF B类期刊,IF:8.2)
[3]. Yupeng Song, Fazhi He*, Linkun Fan, Jicheng Dai, Qing Guo; DSACNN: dynamically local self-attention CNN for 3D point cloud analysis, Advanced Engineering Informatics, 2022(54): 101803. (中科院1区Top期刊,CCF B类期刊,IF:8.8)
[4]. Yupeng Song, Naifu Liang, Qing Guo, Jicheng Dai, Junwei Bai, Fazhi He*; MeshCLIP: Efficient cross-modal information processing for 3D mesh data in zero/few-shot learning, Information Processing & Management, 2023, 60(6): 103497. (中科院1区Top期刊,CCF B类期刊,IF:8.6)
[5]. Tongzhen Si, Fazhi He*, Penglei Li, Yupeng Song, Linkun Fan; Diversity feature constraint based on heterogeneous data for unsupervised person re-identification, Information Processing & Management, 2023, 60(3): 103304. (中科院1区Top期刊,CCF B类期刊,IF:8.6)
[6]. Peifang Li, Fazhi He*, Bo Fan, Yupeng Song; TPNet: A novel mesh analysis method via topology preservation and perception enhancement, Computer Aided Geometric Design, 2023(104):102219. (中科院4区期刊,CCF B类期刊,IF:1.368)
[7]. Rubin Fan, Fazhi He*, Yuxin Liu, Yupeng Song, Linkun Fan, Xiaohu Yan; A parametric and feature-based CAD dataset to support human-computer interaction for advanced 3D shape learning, Integrated Computer-Aided Engineering, 2025,32(1):75-96. (中科院2区期刊,IF:6.5)
[8]. Jicheng Dai, Rubin Fan, Yupeng Song, Qing Guo, Fazhi He*; MEAN: An attention-based approach for 3D mesh shape classification, The Visual Computer, 2024, 40(4): 2987-3000. (中科院3区期刊, CCF C类期刊,IF:3.5)
[9]. Linkun Fan, Fazhi He*, Yupeng Song, et al. Look Inside 3D Point Cloud DNN by Patchwise Saliency Map, Integrated Computer-Aided Engineering, 2024, 31(2): 197-212. (中科院2区期刊,IF:6.5)
专利 / Patents
(1) 何发智; 宋宇鹏; 戴季成; 鄢小虎 ; 一种基于 Transformer 的增强了局部语义学习能力的 3D 点云分析方法及装置, 2022-7-21, 中国, CN202210863984.0 (专利)
(2) 何发智; 宋宇鹏; 郭庆; 戴季成; 鄢小虎 ; 一种动态局部自注意力卷积网络点云分析系统及方法,2022-12-13, 中国, CN202211010334.8 (专利)
(3) 何发智; 司统振; 宋宇鹏; 高晓新 ; 基于行人再识别模型的行人再识别方法、设备及存储介质,2021-12-1, 中国, CN202111455276.5 (专利)
荣誉与奖励 / Honors & Awards
1. 2023-2024 年武汉大学计算机学院“优秀毕业研究生”
2. 2021-2022 年武汉大学“优秀研究生”
3. 2021-2022 年武汉大学“雷军·奖学金”
4. 2021-2022 年武汉大学研究生一等学业奖学金