个人简介

刘星月，特任教授，博士/博士后，“地大学者”青年拔尖人才，研究生导师。2016年本科毕业于西南大学，后保送至华中科技大学机械科学与工程学院直接攻读博士学位，于2021年6月获机械工程博士学位，此后入职中国地质大学（武汉）机械与电子信息学院。研究兴趣包括视觉传感器制造、2D/3D机器视觉、模式识别、人工智能算法开发及应用等，目前，以第一或通讯作者发表SCI论文26篇，包括1篇ESI热点、高被引论文和1篇封面论文，已获授权国家发明专利5项，以第一负责人主持国家自然科学基金青年项目、中国博士后面上资助(一等)项目、湖北省自然科学基金青年项目、重庆市自然科学基金面上项目、武汉市自然科学基金探索计划（晨光计划）项目、湖北省博士后创新岗位资助项目和校企横向合作项目等项目。获湖北省科技进步三等奖（排3）、中国地质大学（武汉）校级优秀班主任、校级优秀本科毕业论文“优秀指导教师奖”等荣誉。担任IEEE Transactions on Industrial Informatics、Knowledge-Based Systems、Neurocomputing、Engineering Applications of Artificial Intelligence、Measurement等国际期刊审稿人。

联系方式

办公地点：机械与电子信息学院(教二楼) 419办公室

邮箱：liuxingyue@cug.edu.cn

主要经历

2021.09-至今：中国地质大学(武汉)，机械与电子信息学院，机械工程，特任教授

2016.09-2021.06：华中科技大学，机械科学与工程学院，机械工程，工学博士，

导师：廖广兰教授（“长江学者”）

2012.09-2016.06：西南大学，工程技术学院，机械设计制造及其自动化，工学学士

研究兴趣

（1）机器视觉与智能监测：基于机器视觉的工业智能检测平台搭建（如深度参与Moming-Vision AI机器视觉软件编写），精细化视觉语义分割、目标检测与目标追踪、工业异常声音与视频监测、工业图像去模糊、2D/3D工业异常检测以及3D点云分割与3D点云重建等；

（2）非结构化工业场景下深度学习算法开发及应用：面向弱监督/小样本/零样本等非结构化场景下的工业语义分割、目标检测、声音/视频异常检测等应用需求，开发并优化基于图神经网络、Transformer、KAN、CLIP、对比学习/原型学习/联邦学习理论等的深度学习算法。

（3）机器人视觉伺服：高精度视觉感知与特征提取（人工标定/自标定理论、图像边缘检测、深度学习驱动的特征提取）；光照不均、暗态、障碍物干扰等非结构化场景下机器人稳定伺服、路径规划与避障策略研究；基于深度学习的端到端视觉伺服、无标定视觉伺服（相机参数隐式学习）及小样本/零样本泛化能力提升。

招生信息

欢迎认真踏实、勤学上进、有一定编程基础且具有机械、计算机、电子、自动化等学科背景的学生加入团队。课题组学习氛围浓厚，师生相处融洽，本人竭力为课题组研究生提供良好的科研平台，从科研素养培养、科学选题、文献总结及学术论文写作等方方面面给予学生耐心指导，支持学生的研究兴趣，鼓励学生参加国内国际学术会议和CSC联合培养。

科研项目

· 国家自然科学基金青年基金，52305623，2024.01-2026.12，主持；

· 中国博士后科学基金第72批面上资助(一等)，2022M720133，2022.12-2024.12，主持；

· 武汉市自然科学基金探索计划（晨光计划）项目，2024040801020282，2024.06-2026.05，主持；

· 湖北省自然科学基金青年项目，2022CFB589，2022.10-2024.10，主持；

· 重庆市自然科学基金面上项目，CSTB2023NSCQ-MSX0636，2023.08-2026.07，主持；

· 湖北省博士后创新研究岗位资助项目，2022.06-2024.06，主持；

· 横向课题：基于机器学习的抽油机井工况监测系统，2024.06-2024.12，图像及声音异常检测系统负责人；

· 横向课题：基于单目结构光三维重建的散料体积在线监测系统软件开发，KH2460357，2024.01-2024.04，主持；

· 横向课题：多自由度系统参数实时辨识模型开发，KH216941，2021.10-2022.09，主持；

· 中央高校青年拔尖人才科研专项资助项目，2021.09-2026.09，主持；

· 国家自然 科学基金面上项目，基于明暗场及三维拓扑形貌特征的深度语义分割有图案先进封装晶圆缺陷检测方法研究，52375521，2024.01-2027.12，参与；

学术论文

[1] Junchao Chen, Yahui Cheng, Guojun Wen, Xingyue Liu*, BMMC-GAN: A Bi-directional Mapping and Multi-Category Controlled Generative Adversarial Network for Diverse Industrial Defect Images Generation, Neurocomputing, 2026, 672, 132859.

[2] Xingyue Liu, Qian Wu, Yahui Cheng, Guojun Wen*, A Novel Prior Knowledge-based and Texture-Enhanced Network for Few-Shot Industrial Defect Segmentation, Engineering Applications of Artificial Intelligence, 2025, 162, 112408.

[3] Qian Wu, Xingyue Liu*, Guojun Wen, Guanglan Liao, Tielin Shi. DEGRNet: An Innovative Dual-branch Edge-based Graph Reasoning Network for Few-shot Industrial Surface Defect Segmentation, Frontiers of Mechanical Engineering, 2025, 20 (6), 47.

[4] Yahui Cheng, Guojun Wen, Aoshuang Luo, Shuang Mei, Hongbo Dong, Xingyue Liu*. An efficient and scale-aware zero-shot industrial anomaly detection technique based on optimized CLIP, Measurement, 2025, 253, 117443.

[5] Yahui Cheng, Junchao Chen, Guojun Wen, Xianhua Tan, Xingyue Liu*. LPFSTNet: A lightweight and parameter-free head attention-based student-teacher network for fast 3D industrial anomaly detection, Neurocomputing, 2025, 623, 129408.

[6] Zhihao Hu, Guojun Wen, Xingyue Liu*, DFASF-YOLO: A Dual-Path Focus Attention and Spatial Fusion-based Detector for Efficient and Lightweight Avionics Solder Joint Defect Detection, IEEE Sensors Journal, 2025, 25(23), 42607-42617.

[7] Aoshuang Luo, Guojun Wen, Zhuyun Chen, Xingyue Liu*, GLASNet: A Global-Local Anomaly Generator and Salient Channel Feature Selector-Based Network for Accurate Few-Shot Industrial Anomaly Detection, IEEE Sensors Journal, 2025, 25(15), 29929-29939.

[8] Xingyue Liu, Xingsheng Wang, Guojun Wen*, Optimizing the optoelectronic property of vapor-deposited CsPbCl₃ films by triphenylphosphine oxide doping for high-performance self-powered UV detection, Materials Today Communications, 2025, 47, 113063.

[9] Xingyue Liu, Litao Zhang, Zheng Li, Qinglei Sun, Hongyong Jiang. Experimental study on hydrothermal aging of 3D-printed hybrid composite trapezoidal structures with continuous carbon-fiber and short carbon-fiber, Engineering Failure Analysis, 2025, 171, 109351.

[10] Xingsheng Wang, Guojun Wen, Siyi Cheng, Xianhua Tan, Xingyue Liu*. Low-Pressure Annealing and Surface Passivation of Self-Powered Wide-Bandgap CsPbCl₃ Nanostructure-Based Ultraviolet Photodetectors, ACS Applied Nano Materials, 2025, 8(11), 5568-5578.

[11] Aoshuang Luo, Guojun Wen, Yahui Cheng, Shuang Mei, Hongbo Dong, Xingyue Liu*. DMMGNet: A discrimination mapping and memory bank mean guidance-based network for high-performance few-shot industrial anomaly detection, Neurocomputing, 2024, 610, 128622.

[12] Xiaoqi Yang, Xingyue Liu*, Qian Wu, Guojun Wen, Shuang Mei, Guanglan Liao, Tielin Shi. VMMAO-YOLO: an ultra-lightweight and scale-aware detector for real-time defect detection of avionics thermistor wire solder joints, Frontiers of Mechanical Engineering, 2024, 19(3), 21.

[13] Xiaoqi Yang, Guojun Wen, Shuang Mei, Hongbo Dong, Xingyue Liu*. DBHF: A double fusion backbone and bidirectional feature hybrid fusion detector for high-precision inspection of avionics solder joint defects, Measurement, 2024, 237, 115221.

[14] Shulan Jiang, Zeliang Hou, Xin Zheng, Qian Wu, Xiaoqi Yang, Wuqiong Cai, Ying Yi, Siyi Cheng, Guojun Wen, Xingyue Liu*. Ultrafast self-powered CsPbCl₃ ultraviolet photodetectors with choline chloride for surface passivation and charge transport regulation, Journal of Materials Chemistry C, 2023, 11(17), 5667-5679.

[15] Siyi Cheng, Xin Zheng, Zeliang Hou, Ruyi Hu, Shulan Jiang, Shuang Xi, Guojun Wen*, Xingyue Liu*, Passivating the Vacancy Defects of CsPbCl₃ Polycrystalline Films by a Cl-Containing Ionic Liquid for Self-Powered, Charge-Transport-Layer-Free UV Photodetectors, Journal of Materials Chemistry C, 2022, 10(14), 5693-5706.

[16] Xiaobin Zhan, Xuning Zhang, Zhiyong Liu, Chen Chen, Lingxian Kong, Shulan Jiang, Shuang Xi, Guanglan Liao, Xingyue Liu*, Boosting the performance of the self-powered CsPbCl₃-based UV photodetectors by a sequential vapor-deposition strategy and heterojunction engineering, ACS Applied Materials & Interfaces, 2021, 13(38), 45744-45757.

[17] Xingyue Liu, Xianhua Tan, Zhiyong Liu, Haibo Ye, Bo Sun, Tielin Shi, Zirong Tang, Guanglan Liao, Boosting the efficiency of carbon-based planar CsPbBr₃ perovskite solar cells by a modified multistep spin-coating technique and interface engineering, Nano Energy, 2019, 56, 184-195. (热点、高被引论文)

[18] Xingyue Liu, Zhiyong Liu, Bo Sun, Xianhua Tan, Haibo Ye, Yuxue Tu, Tielin Shi, Zirong Tang, Guanglan Liao, 17.46% efficient and highly stable carbon-based planar perovskite solar cells employing Ni-doped rutile TiO₂ as electron transport layer, Nano Energy, 2018, 50, 201-211.

[19] Xingyue Liu, Zhiyong Liu, Xianhua Tan, Haibo Ye, Bo Sun, Shuang Xi, Tielin Shi, Zirong Tang, Guanglan Liao, Novel antisolvent-washing strategy for highly efficient carbon-based planar CsPbBr₃ perovskite solar cells, Journal of Power Sources, 2019, 439, 227092.

[20] Xingyue Liu, Xianhua Tan, Zhiyong Liu, Bo Sun, Junjie Li, Shuang Xi, Tielin Shi, Zirong Tang, Guanglan Liao, Sequentially vacuum evaporated high-quality CsPbBr₃ films for efficient carbon-based planar heterojunction perovskite solar cells, Journal of Power Sources, 2019, 443, 227269.

[21] Xingyue Liu, Zhiyong Liu, Junjie Li, Xianhua Tan, Bo Sun, Han Fang, Shuang Xi, Zirong Tang, Tielin Shi, Guanglan Liao, Ultrafast, self-powered and charge-transport-layer-free photodetectors based on high-quality evaporated CsPbBr₃ perovskites for applications in optical communication. Journal of Materials Chemistry C, 2020, 8(10), 3337-3350. (封面论文)

[22] Xingyue Liu, Xianhua Tan, Zhiyong Liu, Xuning Zhang, Tielin Shi, Guanglan Liao, Enhancing the performance of all vapor-deposited electron-conductor-free CsPbBr₃ photodetectors via interfacial engineering for applications in image sensing. Journal of Materials Chemistry C, 2020, 8(41), 14409-14422.

[23] Xingyue Liu, Junjie Li, Xianhua Tan, Zhiyong Liu, Bo Sun, Shuang Xi, Tielin Shi, Guanglan Liao, Vapor-assisted deposition of CsPbIBr₂ films for highly efficient and stable carbon-based planar perovskite solar cells with superior V_oc, Electrochimica Acta, 2020, 330, 135266.

[24] Xingyue Liu, Zhiyong Liu, Bo Sun, Xianhua Tan, Haibo Ye, Yuxue Tu, Tielin Shi, Zirong Tang, Guanglan Liao, All low-temperature processed carbon-based planar heterojunction perovskite solar cells employing Mg-doped rutile TiO₂ as electron transport layer, Electrochimica Acta, 2018, 283, 1115-1124.

[25] Xingyue Liu, Zhiyong Liu, Haibo Ye, Yuxue Tu, Bo Sun, Xianhua Tan, Tielin Shi, Zirong Tang, Guanglan Liao, Novel efficient C₆₀-based inverted perovskite solar cells with negligible hysteresis, Electrochimica Acta, 2018, 288, 115-125.

[26] Xianhua Tan^#, Xingyue Liu^#, Zhiyong Liu, Bo Sun, Junjie Li, Shuang Xi, Tielin Shi, Zirong Tang, Guanglan Liao, Enhancing the optical, morphological and electronic properties of the solution-processed CsPbIBr₂ films by Li doping for efficient carbon-based perovskite solar cells, Applied Surface Science, 2020, 499, 143990.

[27] Xuning Zhang, Feixiang Tang, Bo Sun, Xingyue Liu, Guanglan Liao, Weihua Li, Sheng Liu, Four-Mask Technique for Manufacturing the Perovskite-on-Silicon Sensor Array for Ultraviolet Light Imaging, Advanced Functional Materials, 2025, 35(25), 2423281.

[28] Xuning Zhang, Linya Chen, Xingyue Liu, Zhiyong Liu, Honggang Gu, Bo Sun, Guanglan Liao, Optimizing the Design of the Vapor-Deposited CsPbCl₃-Based Optoelectronic Devices via Simulations and Experiments, Advanced Functional Materials, 2024, 34, 2310945.

[29] Jiangtao Cheng, Guojun Wen, Xin He, Xingyue Liu, Yang Hu, Shuang Mei. Achieving the Defect Transfer Detection of Semiconductor Wafer by a Novel Prototype Learning-Based Semantic Segmentation Network. IEEE Transactions on Instrumentation and Measurement, 2024, 73, 1-12.

[30] Zeliang Hou, Xingyue Liu, Guojun Wen, Shulan Jiang, Enhancing the photoelectric performance of the self-powered all vapor-deposited CsPbCl₃ ultraviolet photodetectors by a novel cadmium-doping strategy and heterojunction engineering, Solar Energy Materials and Solar Cells, 2023, 251, 112175.

国家发明专利

[1] 廖广兰，刘星月等，ZL. 201710182946.8（授权）。

[2] 廖广兰，刘星月等，ZL. 201711088549.0（授权）。

[3] 廖广兰，刘星月等，ZL. 201810032532.1（授权）。

[4] 廖广兰，刘星月等，ZL. 201910625116.7（授权）。

[5] 王峥荣，刘星月等，ZL. 201610361372.6（授权）。

获奖与荣誉

l 湖北省科技进步三等奖：面向非结构化场景的机器人视觉智能感知与控制关键技术及应用（3/7），2025

l 2025年中国地质大学（武汉）校级“优秀班主任”，2025

l 2024年中国地质大学（武汉）校级优秀本科毕业论文“优秀指导教师奖”，2024

l 2013、2014、2015连续3次本科生国家奖学金，2018、2019、2020年连续3次博士研究生国家奖学金

指导研究生情况

l 2022级杨晓琪：以第一作者发表SCI论文2篇（T1、T2类各一篇），获批实验室开放基金1项，获研究生国家奖学金；

l 2022级吴迁：以第一/学生第一作者发表SCI论文2篇（T1、T2类各一篇），获批实验室开放基金1项；

l 2023级罗澳爽：以第一作者发表SCI论文2篇（T2），获批实验室开放基金1项，获研究生国家奖学金；

l 2023级王兴盛：以第一/学生第一作者发表SCI论文2篇（T2、T3类各一篇），获批实验室开放基金1项，获研究生国家奖学金；

l 2023级陈俊超：以第一作者发表SCI论文1篇（T2），另有1篇SCI论文审稿中；

l 2023级张舒舜：以第一作者撰写SCI论文1篇（审稿中）；

l 2024级胡志豪：以第一作者发表T2类SCI论文1篇，另有1篇SCI论文审稿中；

l 2024级赵子骜：以第一作者撰写SCI论文2篇，审稿中，中国地质大学（武汉）学生科技论文报告会一等奖；

l 2024级张翔宇：以第一作者撰写SCI论文2篇（审稿中）；

l 2024级肖毅斌：以第一作者撰写SCI论文1篇（审稿中）。