一、个人简介
陈智超，中共党员，1997年11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高被引论文2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IJCAI、IEEE ITS、IEEE JSTSP、AEI、Information Fusion等刊物。
二、主要学习与工作经历
2025年7月-至今，上海电机学院，教师
2020年9月-2025年6月，江西理工大学，硕博连读
2016年9月-2020年6月，江西理工大学，本科
三、代表性科研成果
[1] Zhichao Chen, Jie Yang, Lifang Chen, Haining Jiao. Garbage classification systembased on improved ShuffleNet v2[J]. Resources, Conservation and Recycling, 2022,178: 106090. (中科院1区SCI, IF:10.9, Top期刊,ESI高被引论文,被引220次)
[2] Zhichao Chen, Jie Yang, Zhicheng Feng, Hao Zhu. RailFOD23: A dataset for foreignobject detection on railroad transmission lines[J]. Scientific Data, 2024, 11(1): 72.(Nature旗下刊物,中科院2区SCI, IF: 5.8,ESI高被引论文，被引70次)
[3] 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 generationmodel and lightweight perception architecture[J]. IEEE Transactions on Circuits andSystems for Video Technology, 2026, 36(2): 13771391. (中科院1区SCI, IF:11.1,Top期刊,被引40次)
[4] Zhichao Chen, Jie Yang, Lifang Chen, Zhicheng Feng, Limin Jia. Efficient railwaytrack region segmentation algorithm based on lightweight neural network and crossfusion decoder[J]. Automation in Construction, 2023, 155: 105069. (中科院1区SCI, IF:11.5, Top期刊,被引45次)
[5] Zhichao Chen, Jie Yang, Lifang Chen, Fan Li, Zhicheng Feng, Limin Jia, Pan Li.RailVoxelDet: A lightweight 3D object detection method for railway transportationdriven by onboard LiDAR data[J]. IEEE Internet of Things Journal, 2025, 12(18),37175–37189. (中科院2区SCI, IF:8.9, Top期刊,被引20次)
[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. (中科院2区SCI, IF: 5.6,被引160次)
[8] Zhichao Chen, Jie Yang, Chonglian Yang. Brightsightnet: A lightweight progressive lowlight image enhancement network and its application in “rainbow” maglevtrain[J]. Journal of King Saud UniversityComputer and Information Sciences, 2023,35(10): 101814. (中科院2区SCI, IF: 6.1,被引21次)
[9] Zhichao Chen, Jie Yang, Zhicheng Feng, Linhong Li. BiShuffleNeXt: A lightweightbipath network for remote sensing scene classification[J]. Measurement, 2023, 209:112537. (中科院2区SCI, IF: 5.6,被引30次)
[10] Zhichao Chen, Jie Yang, Fazhu Zhou. RailSegVITNet: A lightweight VITbased realtime track surface segmentation network for improving railroad safety[J]. Journal ofKing Saud UniversityComputer and Information Sciences, 2024, 36(1): 101929. (中科院2区SCI, IF: 6.1,被引15次)
[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] Zhicheng Feng, Jie Yang, Zhichao Chen, Zhuang Kang. LRseg: An efficient railwayregion extraction method based on lightweight encoder and selfcorrecting decoder[J].Expert Systems with Applications, 2024, 238: 122386. (中科院1区SCI, IF: 8.5, Top期刊)
[14] Zhicheng Feng, Xieyuanli Chen, Chenghao Shi, Lun Luo, Zhichao Chen, YunHuiLiu, Huimin Lu. ImageGoal Navigation Using Refined Feature Guidance and SceneGraph Enhancement[C]//IEEE/RSJ International Conference on Intelligent Robotsand 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。
五、在研项目
1.“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