陈智超(导师组成员)

发布者:蒋璐峥发布时间:2026-04-30浏览次数:951

一、个人简介

陈智超,中共党员,199711月生,江西赣州人,工学博士,长期从事智能交通、深度学习算法建模、自动化检测装备方面的研究。以第一作者发表SCI/EI检索期刊论文13篇,其中ESI高被引或热点论文4篇,重要成果发表于IEEE汇刊/中科院一区/CCF A类刊物,谷歌学术被引800+次,入选了2025年斯坦福全球前2%顶尖科学家榜单。担任十余个TOP SCI/CCF A类刊物审稿人,包括IJCAIIEEE ITSIEEE JSTSPAEIInformation Fusion等刊物。

二、主要学习与工作经历

20257-至今,上海电机学院,教师

20209-20256月,江西理工大学,硕博连读

20169-20206月,江西理工大学,本科

三、代表性科研成果

[1] Zhichao Chen, Jie Yang, Fan Li, Zhicheng Feng, Lifang Chen, Limin Jia, Pan Li. Foreign object detection method for railway catenary based on a scarce image generation model and lightweight perception architecture[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2026, 36(2): 1377­1391. (IF:11.1, SCI 1Top期刊, ESI高被引论文,被引42)

[2] Zhichao Chen, Jie Yang, Lifang Chen, Fan Li, Zhicheng Feng, Limin Jia, Pan Li. RailVoxelDet: A lightweight 3D object detection method for railway transportation driven by on­board LiDAR data[J]. IEEE Internet of Things Journal, 2025, 12(18), 37175–37189. (IF:8.9, SCI 1Top期刊, ESI 0.1%热点论文 被引32)

[3] Zhichao Chen, Jie Yang, Lifang Chen, Haining Jiao. Garbage classification system based on improved ShuffleNet v2[J]. Resources, Conservation and Recycling, 2022,178: 106090. (IF:10.9, SCI 1Top期刊, ESI高被引论文,被引220)

[4] Zhichao Chen, Jie Yang, Zhicheng Feng, Hao Zhu. RailFOD23: A dataset for foreign object detection on railroad transmission lines[J]. Scientific Data, 2024, 11(1): 72. (Nature旗下刊物, SCI Top期刊, IF: 5.8, ESI高被引论文,被引70)

[5] Zhichao Chen, Jie Yang, Lifang Chen, Zhicheng Feng, Limin Jia. Efficient railway track region segmentation algorithm based on lightweight neural network and crossfusion decoder[J]. Automation in Construction, 2023, 155: 105069. (IF:11.5, SCI 1Top期刊,被引52)

[6] Lifang Chen, Zhichao Chen, Liqi Yan, Yanyu Cheng, Fangli Guan, Pan Li. Optimal distributed training with co­adaptive data parallelism in heterogeneous environments[C]//Proceedings of the Thirty­Fourth International Joint Conference on Artificial Intelligence (IJCAI). Montreal, Canada: IJCAI, 2025: 16-22. (CCF A类会议,人工智能领域顶级会议)

[7] Zhichao Chen, Haoqi Guo, Jie Yang, Haining Jiao, Zhicheng Feng, Lifang Chen, Tao Gao. Fast vehicle detection algorithm in traffic scene based on improved SSD[J]. Measurement, 2022, 201: 111655. ( IF: 5.6, SCI Top期刊,被引160)

[8] Zhichao Chen, Jie Yang, Zhicheng Feng, Linhong Li. BiShuffleNeXt: A lightweight bi­path network for remote sensing scene classification[J]. Measurement, 2023, 209: 112537. (IF: 5.6, SCI Top期刊,被引30)

[9] Zhichao Chen, Jie Yang, Chonglian Yang. Brightsightnet: A lightweight progressive low­light image enhancement network and its application in “rainbow” maglev train[J]. Journal of King Saud University­Computer and Information Sciences, 2023, 35(10): 101814. (IF: 6.1, SCI 2区期刊,被引21)

[10] Zhichao Chen, Jie Yang, Fazhu Zhou. RailSegVITNet: A lightweight VIT­based realtime track surface segmentation network for improving railroad safety[J]. Journal of King Saud University­Computer and Information Sciences, 2024, 36(1): 101929. (IF: 6.1, SCI 2区期刊,被引15)

[11]陈智超,焦海宁,杨杰,曾华福.基于改进MobileNet v2的垃圾图像分类算法[J].浙江大学学报(工学版), 2021, 55(08): 1490–1499. (EI检索, 卓越期刊,被引114次,知网高被引论文)

[12]陈智超,杨杰,李凡,冯志成.基于深度学习的列车运行环境感知关键算法研究综述[J].浙江大学学报(工学版), 2025, 59(01): 1–17. (EI检索,卓越期刊)

[13]杨杰,欧阳嗣源,谢章郁,曾阳剑,陈智超*.前景引导语义特征重建的无监督异常检测算法[J].浙江大学学报(工学版), 2026. (EI检索,卓越期刊)

[14] Zhicheng Feng, Jie Yang, Zhichao Chen, Zhuang Kang. LRseg: An efficient railway region extraction method based on lightweight encoder and self­correcting decoder[J]. Expert Systems with Applications, 2024, 238: 122386. (中科院1SCI, IF: 8.5, Top期刊)

[15] Zhicheng Feng, Xieyuanli Chen, Chenghao Shi, Lun Luo, Zhichao Chen, Yun­Hui Liu, Huimin Lu. Image­Goal Navigation Using Refined Feature Guidance and Scene Graph Enhancement[C]//IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2025: 15283–15290. (机器人领域顶级会议)

四、主要研究方向

智能交通团队(实验室)长期招硕士生、本科生,欢迎有志于从事从事人工智能、具身智能、无人机智能应用、自动化检测、计算机视觉、机器人等领域研究的同学联系。团队由两位教授牵头,主持承担国家重点研发计划、国家自然科学基金等多项国家级课题,科研氛围浓厚,合作资源涵盖国家重点实验室及IEEE Fellow团队。团队指导学生多次斩获研究生电子设计大赛、华为杯物联网大赛、互联网+交通大赛等全国一等奖,学生一作发表SCI 1~4区、EI检索等高水平学术论文多篇,成果丰硕。

五、在研项目

1.企业横向课题-新型磁悬浮轴承多点协同系统关键技术开发,主持

2.企业横向课题-车辆副车架自动化焊接及制造技术研究,参与

3.“基于人工智能的视觉融合感知方法研究”,赣州市重点研发项目,Z2024ZDZ007,参与,技术负责人

六、联系方式

邮箱地址:chenzhichao_ai@163.com