个人简述：

周映虹，博士，硕士生导师。主要从事图像处理、超快充技术、光储充一体能源优化调度、新能源应用以及产业化、人工智能技术交叉技术的研究。主持省市级项目4项。近年来，累计发表学术论文30余篇，授权专利20余项，成果转化3项，金额超300万元。

学科领域

科学学位：085401新一代电子信息技术、085402通信工程

专业学位：085401新一代电子信息技术、085402通信工程

教育背景

2007.12于中山大学取得无线电物理理科博士学位

工作经历：

2008.06进入广东工业大学信息工程学院任教

2019-2020，香港大学访问学者

主要论文：

1. Weibo Li, Bingxun Zeng, Weibin Li, Nian Cai, Yinghong Zhou, Shuai Zhou, Hao Xia. Glass Fall-Offs Detection for Glass Insulated Terminals via a Coarse-to-Fine Machine-Learning Framework. Micromachines 2026, 17, 128. https://doi.org/10.3390/mi17010128

2. Weiguo Feng, Zhongtian Sun, Yilin Han, Nian Cai, Yinghong Zhou. "A Bimodal Large–Small Model Collaborative Network for Joint Prediction of State of Health and Remaining Useful Life of Lithium-Ion Batteries," in IEEE Transactions on Instrumentation and Measurement, vol. 74, pp. 1-13, 2025, Art no. 3554913, doi: 10.1109/TIM.2025.3600724.

3. Shule Yan, Runyu Chen, Hairui Sang, Yinghong Zhou, Jinliang Long, Nian Cai, Shaoqiu Xu, Jian Chen. "Multihop Anchor-Free Network With Tolerance-Adjustable Measure for Infrared Tiny Target Detection," in IEEE Transactions on Instrumentation and Measurement, vol. 74, pp. 1-11, 2025, Art no. 5502011, doi: 10.1109/TIM.2025.3545998.

4. Jinliang Long, Xueshen Lan, Shule Yan, Yinghong Zhou, Pan Xiao, Shaoqiu Xu, Shuang Wang, Nian Cai. "Multiscale GAN With Region Adaptive Schemes for Online Inspection of Fabric Flexographic Printing Labels," in IEEE Transactions on Instrumentation and Measurement, vol. 74, pp. 1-18, 2025, Art no. 2510118, doi: 10.1109/TIM.2025.3545982.

5. Jianjun Feng, Shule Yan, Hairui Sang, Hao Chen, Shaoqiu Xu, Nian Cai, Yinghong Zhou. "SSOD-YOLO: Mamba-Driven Feature Extraction with Adaptive Feature Enhancement for Small Object Detection in Space," in IEEE Aerospace and Electronic Systems Magazine, doi: 10.1109/MAES.2025.3641878.

6. Weiguo Feng, Zhongtian Sun, Yilin Han, Nian Cai, Yinghong Zhou. “A multi-strategy attention regression network for joint prediction of state of health and remaining useful life of lithium-ion batteries using only charging data,” Energy, 2025, doi: 10.1016/j.energy.2025.131345.

7. Nian Cai, Shishan Li, Jiajie Xu, Yinfeng Tian, Yinghong Zhou, Jiacheng Liao. A Hybrid Intention Recognition Framework with Semantic Inference for Financial Customer Service. Electronics. 2025; 14(3):495. https://doi.org/10.3390/electronics14030495

8. Nian Cai, Zhaoquan He, Lexuan Lai, Yu Zheng, Shaoqiu Xu, Yinghong Zhou. W-Shaped Net: An Inter-Slice Super-Resolution Segmentation Deep Network for CT Scans of Hepatic Ducts. Electronics. 2025; 14(2):321. https://doi.org/10.3390/electronics14020321

9. Nian Cai, Yiying Xie, Zijie Cai, Yuchen Liang, Yinghong Zhou. Ping Wang. Deep Learning Assisted Diagnosis of Chronic Obstructive Pulmonary Disease Based on a Local-to-Global Framework. Electronics. 2024; 13(22):4443. https://doi.org/10.3390/electronics13224443

10. Nian Cai, Xiaoping Que, Xu Zhang, Weiguo Feng, Yinghong Zhou. “A deep learning framework for the joint prediction of the SOH and RUL of lithium-ion batteries based on bimodal images,” Energy, 2024, doi: 10.1016/j.energy.2024.130231.

11. Yinghong Zhou, Yiying Xie, Nian Cai, Yuchen Liang, Ruifeng Gong, Ping Wang. mm3DSNet: multi-scale and multi-feedforward self-attention 3D segmentation network for CT scans of hepatobiliary ducts. Med Biol Eng Comput 63, 127–138 (2025). https://doi.org/10.1007/s11517-024-03183-z

12. Yinghong Zhou, Weihao Yang, Zhijing Yang, Ruihan Chen. Optimal Sizing of Electric Vehicle Charging Stacks Considering a Multiscenario Strategy and User Satisfaction. Electronics. 2024; 13(16):3176. https://doi.org/10.3390/electronics13163176

13. Ruihan Chen, Junpeng Tan, Yinghong Zhou, Zhijing Yang, Feiping Nie, Tianshui Chen.“Asymmetric low-rank double-level cooperation for scalable discrete cross-modal hashing,” IEEE Trans. Knowl. Data Eng., 2024, doi: 10.1109/TKDE.2024.3359664.

14. Yinghong Zhou, Yu Zheng, Yinfeng Tian, Youfang Bai, Nian Cai, Ping Wang. SCAN: sequence-based context-aware association network for hepatic vessel segmentation. Med Biol Eng Comput 62, 817–827 (2024). https://doi.org/10.1007/s11517-023-02975-z

15. Yinghong Zhou, Zhiliang Wu, Nian Cai, Daohua Zhan, Shaoqiu Xu, Meiyun Chen, Guang Zhou, Han Wang. A High-Precision Multi-Beam Optical Measurement Method for Cylindrical Surface Profile. Micromachines. 2023; 14(8):1555. https://doi.org/10.3390/mi14081555

知识产权：

1、一种锂电池健康状态和剩余寿命预测方法及系统。发明专利CN202411650704.3

2、一种融合多维度动态空间特征的充电站需求预测方法，发明专利CN202510348738.5

3、一种针对太空小目标的人工智能检测方法及其系统，发明专利CN202510441905.0

4、一种充电站选址方法，发明专利CN202410896777.4

5、一种基于多维度的汽车充电站规划方法，发明专利CN202410779048.0

6、一种充电站定容方法及系统，发明专利CN202310451181.9

7、一种基于注意力机制的电动汽车日充电需求曲线预测方法，发明专利CN20221141551

科研项目：

1.基于深度学习的多源弱小空间目标智能探测识别研究，全国重点实验室-省部级开放基金，2024-2026

2.基于智能化和建筑信息模型的建筑工程三维实景重建技术，茂名市科技项目，2024-2026

3.面向硅碳复合动力电池的热安全防控智能化共性关键技术研究，茂名市科技项目，2023-2025

4.电动汽车大功率智能快速充电系统的研发及产业化，广东省战略新兴产业化项目，2015

5.电动汽车充电桩和充电接口检测共性技术研究及其标准化，广州市科技项目，2016

教学活动：

2023-2026学年度《计算机网络及应用》《人工智能技术》

我的团队：

隶属于广东工业大学信息工程学院人工智能团队，团队专注新能源、新能源和人工智能交叉结合以及人工智能在产业方面的交叉结合的研究工作。