晁飞

发布时间：2018-05-10 09:25  点击数：

晁飞

副教授 英国Aberystwyth大学博士，博士后

IEEE 高级会员 CCF 高级会员

Knowledge-Based Systems期刊副主编

fchao@xmu.edu.cn

0592-258-0192

English

主讲课程:

  • 《高级人工智能》（中文）

  • 《机器学习导论》（中文）

  • 《数字逻辑》（中、英文）

  • 《机器人学导论》（中文）

指导学生获奖情况:

  • 2025年指导本科生凌浩博等同学获得第18届中国大学生计算机设计大赛一等奖

  • 2025年指导本科生曾远择等同学获得第19届挑战杯福建省二等奖

  • 2024年指导硕士生许添硕获得福建省优秀硕士毕业论文

  • 2024年指导本科生褚皓程等同学获得第14届海峡两岸信息服务创新大赛二等奖

  • 2024年指导本科生黄成选等同学获得第17届中国大学生计算机设计大赛二等奖

  • 2024年指导本科生马承乾等同学获得华为ICT大赛国家级一等奖

  • 2023年指导硕士研究生李漓江获得硕士研究生国家奖学金

  • 2021年指导硕士研究生许添硕获得硕士研究生国家奖学金

  • 2020年指导本科生常翔获得CSC国家公派博士生留学基金

  • 2018年指导硕士研究生干琳获得“兆易创新杯”第十三届中国研究生电子设计竞赛华东区二等奖

  • 2017年指导硕士研究生周大军获得硕士研究生国家奖学金

  • 2016年指导硕士研究生朱祖元获得CSC国家公派博士生留学基金

  • 2016年指导本科生获得第六届华为杯中国大学生智能设计竞赛三等奖

  • 2015年指导硕士研究生葛佳敏获得UKCI2015最佳学生论文奖

  • 2015年指导本科生获得第五届华为杯中国大学生智能设计竞赛二等奖

  • 2014年指导硕士研究生姚刚获得UKCI2014最佳学生论文奖

  • 2014年指导硕士研究生王证帅获得硕士研究生国家奖学金

  • 2013年指导学生获得第三届华为杯全国大学生智能设计竞赛一等奖

科研项目:

  • 主持厦门市自然科学基金面上项目：《面向超分任务的扩散模型的高效训练与部署的研究》，2025-2028

  • 联合主持国家自然科学基金联合基金-重点支持项目，《面向八桂壮乡全天候复杂环境智能视觉感知的新型神经网络关键技术研究》，2024-2027

  • 主持厦门大学中央高校基本科研业务费:：《引入审美反馈机制的机器人书法创作模型与计算实现》，2019-2021

  • 主持国家自然科学基金面上项目：《模糊自组织大脑情感学习神经网络开发及其应用》，2016-2020

  • 主持福建省自然科学基金面上项目：《模糊自组织大脑情感学习神经网络开发及其智能机器人应用》，2017-2020

  • 主持厦门大学中央高校基本科研业务费山海基金：《脑机信息驱动的人类意念控制机器人书写研究》，2016-2018

  • 主持国家自然科学基金青年项目：《基于限制释放算法驱动的发展型机器人及其书写动作控制》，2013-2015

教育科研经历:

  • 2015年-至今 厦门大学副教授

  • 2010年-2015年 厦门大学助理教授

  • 2009年-2010年 英国Aberystwyth大学博士后助理研究员

  • 2005年-2009年 英国University of Wales, Aberystwyth大学计算机科学博士学位（ORSAS,EPSRC双奖学金获得者）

  • 2004年-2005年 英国University of Wales, Aberystwyth大学计算机科学硕士学位（优等毕业生）

  • 2000年-2004年 福州大学机械工程学院工学学士

受邀报告:

  • 2021年9月第六届金砖国家青年科学家论坛，报告题目"Robotic Calligraphy Systems"

  • 2020年1月 CCF YOCSEF 厦门论坛，报告题目"机器人书写动作规划的研究"

  • 2019年10月 英国Aberystwyth大学，报告题目"Robotic Calligraphy Systems" 

  • 2015年5月 台湾元智大学，报告题目"Robotic Calligraphy: Computational and Developmental Approach"

  • 2015年9月 英国Aberystwyth大学，报告题目"A Developmental Approach to Robotic Hand-eye Coordination"

会议组织:

  • 2026年，WCCI 2026 程序委员会成员

  • 2025年，AAAI 2025年高级程序委员会成员

  • 2019年，ICIRA-2019国际智能机器人学与应用大会人-机器人交互中的机器人学习专题主席

  • 2019年，UIC-2019国际普适智能与计算大会CPIR 2019研讨会主席

  • 2018年，ICACI-2018国际高级人工智能年会本地组委会成员

  • 2017年，UKCI-2017全英计算智能大会副主席

  • 2007年，FUZZIEEE-2007国际模糊系统年会会议本地组委成员

学术兼职:

  • 2025-，《Knowledge Based Systems》期刊副主编

  • 2020-，《IEEE Transactions on Cognitive and Developmental Systems》期刊副主编

  • 2020，《Sustainability》Machine Learning and AI Technology for Sustainability专刊客座编辑

  • 2017和2018，《Soft Computing》专刊客座编辑

  • 2013-，IEEE Computational Intelligence Society, Xiamen Chapter副主席

  • 2013-，CCF会员/高级会员

  • 2016-，英国Northumbria大学博士生外校导师

  • UKCI 2014 - 2016，程序委员会成员

  • 《IEEE Transactions on Fuzzy Systems》，《IEEE Transactions on Industrial Electronics》，《IEEE Transactions on Cybernetics》，《Computer Vision and Image Understanding》，《Robotics and Autonomous Systems》等多个期刊审稿人

译著:

  • ·《发展型机器人：从人类婴儿到机器人》，机械工业出版社，2017

  • ·《医疗机器人建模与制造》，机械工业出版社，2018

会议论文集编撰:

  • Advances in Computational Intelligence Systems, Contributions Presented at the 17th UK Workshop on Computational Intelligence, volume 650, Springer.

研究兴趣:

·

·神经网络压缩、结构搜索与高效训练:

  • 面向计算机视觉任务的深度神经网络体积过大，计算消耗过多的问题，研究神经网络的剪枝与量化问题，并通过神经网络结构搜索（NAS）的方法获得最优性能的网络结构。

· 模仿学习与深度强化学习:

  • 采用发展型机器人通过模仿人的动作来学习基本动作。提出“限制释放”这一全新的发展型学习算法来分析、构建机器人的发展过程，用发展机制改进进化优化算法搭建模仿婴儿大脑的模型。实现生成对抗模仿学习与逆向强化学习方法构建机器人基本技能学习框架。

· 机器学习算法:

  • 建立多种新型的模糊大脑模型神经网络，包含递归、情感学习、2型模糊系统、增长型等结构，并嵌入到机器人的电机控制器中。采用和声算法和特征选择技术来对集成分类器进行精简优化，实现对动态数据进行特征提取。并且对神经网络进行优化。

  • 通过构建的人体姿势识别算法、生成对抗网络、逆向强化学习和汉字笔画拆分算法实现了多自由度机械臂的中英文书写（机器人书写视频一）（视频二）。


CCF-A类会议与期刊论文:

  • Huachen Qi, Ruiyu Zhuo, Bowen Shi, Xiang Chang, Fei Chao*, Changjing Shang, Qiang Shen. Profiling-Free Mixed-Precision Quantization for MoE LLMs via Fuzzy Rule Interpolation, 64th Annual Meeting of the Association for Computational Linguistics. 2026

  • Jing Xu, Yuexiao Ma, Songwei Liu, Xuzhe Zheng, Shiwei Liu, Chenqian Yan, Xiawu Zheng, Rongrong Ji, Fei Chao*, Xing Wang. Motion-Aware Caching for Efficient Autoregressive Video Generation. Forty-third International Conference on Machine Learning, 2026

  • P. Jiang, H. Li, L. Zhao, F. Chao*, K. Yan, S. Ding, R. Ji. VISA: Group-wise Visual Token Selection and Aggregation via Graph Summarization for Efficient MLLMs Inference. ACM MM2025

  • Z. Meng, Y. Zeng, X. Chang, T. Xu, F. Chao*, X. Cao, C. Shang, Q. Shen. Orpaint: a zero-shot inpainting model for oracle bone inscription rubbings with visual mamba block. Science China Information Science

  • Pengfei Jiang, M. Lin, and Fei Chao*. Move and Act: Enhanced Object Manipulation and Background Integrity for Image Editing. Annual AAAI Conference on Artificial Intelligence (AAAI). 2025.

  • Tianshuo Xu, Lijiang Li, Peng Mi, Xiawu Zheng, Fei Chao*, Rongrong Ji, Yonghong Tian, Qiang Shen. Uncovering the Over-smoothing Challenge in Image Super-Resolution: Entropy-based Quantification and Contrastive Optimization. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2024.

  • Lijiang Li, Huixia Li, Xiawu Zheng, Jie Wu, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan, Fei Chao* and Rongrong Ji. Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration. IEEE/CVF International Conference on Computer Vision (ICCV). 2023.

  • X. Chang, F. Chao*, C. Shang, Q. Shen. Sundial-GAN: A Cascade Generative Adversarial Networks based Framework for Deciphering Oracle Bone Inscription Characters. ACM International Conference on Multimedia. 2022.

  • T. Xu, Y. Wu, X. Zheng, T. Xi, G. Zhang, E. Ding, F. Chao*, R. Ji. CDP: Towards Optimal Filter Pruning via Class-wise Discriminative Power. ACM International Conference on Multimedia. 2021.

期刊论文-责任作者:

  1. D. Liu, S Li, R. Zhou, L. Liang, Y. Hong, Y. Zeng, X. Chang, L. Li, T. Xu, F. Chao*, C. Shang, Q. Shen: NADM: Noise-Aware Diffusion Model for Landscape Painting Video Generation. IEEE Transactions on Cybernetics. 55(8): 3686-3698 (2025)

  2. L.-J. Li, X. Chang, F. Chao*, C.-M. Lin, T.-T. Huỳnh, L. Yang, C. Shang, Q. Shen. Self-Organizing Type-2 Fuzzy Double Loop Recurrent Neural Network for Uncertain Nonlinear System Control. IEEE Transactions on Neural Networks and Learning Systems. Accepted, 2024.

  3. B.Guo, F.Chao*, C.-M. Lin, T.-T. Huynh, L. Yang, C. Shang, Q. Shen. Actor–Critic With Synthesis Loss for Solving Approximation Biases. IEEE Transactions on Cybernetics. Accepted, 2024. 

  4. Q. Li, Z. Guo, F. Chao*, X. Chang, L. Yang, C.-M. Lin,  C. Shang, Q. Shen. Robotic Trajectory Sequential Writing Problem via Learning Character's Structural and Sequential Information. IEEE Transactions on Cybernetics. Accepted, 2022.

  5. Z. Wang, L. Li, F. Chao*, C.-M. Lin, L. Yang, C. Zhou, X. Chang, C. Shang, Q. Shen. A Type 2 Wavelet Brain Emotional Learning Network with Double Recurrent Loops based Controller for Nonlinear Systems.  Knowledge-Based Systems.. 251: 109274, 2022. [Link]

  6. J. Liu, F. Chao*, L. Yang, C. -M. Lin, C. Shang and Q. Shen, "Decoder Choice Network for Metalearning," in IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2021.3123403. [Link]

  7. X. Zhang, C. Zhou, F. Chao*, C. Lin, L. Yang, C. Shang and Q. Shen. Low-cost IMU calibration with nonlinear scale factors. IEEE Transactions on Industrial Informatics, vol. 18, no. 2, pp. 1028-1038, 2022, [Link]

  8. R. Wu. F. Chao*, C. Zhou, Y. Huang, L. Yang, C.-M. Lin, X. Chang, Q. Shen, and C. Shang. A Developmental Evolutionary Learning Framework for Robotic Chinese Stroke Writing. IEEE Transactions on Cognitive and Developmental Systems, Accepted, 2021.[Link]

  9. L. Gan, Z. Guo, F. Chao*, L. Yang, C. Xiang, C.-M. Lin, C. Zhou, V. Vijayakumar, C. Shang. Automatic Stroke Generation for Style-Oriented Robotic Chinese Calligraphy. Future Generation Computer Systems. 119: 20-30. 2021. [Link]

  10. W. Fang, F. Chao*, D. Zhou, C.-M. Lin, L. Yang, C. Shang, C. Zhou, and Q. Shen.Visual-guided Robotic Object Grasping using Dual Neural Network Controllers. IEEE Transactions on Industrial Informatics, 17:3:2282-2291, 2021. [Link]

  11. L. Zheng, F. Chao*, N. M. Parthalain, D. Zhang, Q. Shen. Feature Grouping and Selection: A Graph-based Approach. Information Sciences. 546:1256-1272. 2021. [Link]

  12. J. Liu, F. Chao*, C.-M. Lin, L. Yang, C. Zhou, and C. Shang. DK-CNNs: Dynamic Kernel Convolutional Neural Networks. Neurocomputing. 442:95-108. 2021. [Link]

  13. F. Chao, G. Lin, L. Zheng*, X. Chang, C.-H. Lin, L. Yang, C. Shang. An LSTM Based Generative Adversarial Architecture for Robotic Calligraphy Learning System. Sustainablility.12(21), paper no.: 9092. 2020. [Link]

  14. F. Chao*, D. Zhou, C.-M. Lin, L. Yang, C. Zhou, and C. Shang. Type-2 Fuzzy Hybrid Controller Network for Robotic Systems. IEEE Transactions on Cybernetics. 50:8, 3778 - 3792, 2020.  [Link]

  15. R. Wu, C. Zhou, F. Chao*,  L. Yang; C.-M. Lin, C. Shang. Integration of an Actor-Critic Model and Generative Adversarial Networks for a Chinese Calligraphy Robot. Neurocomputing, 388:7, 12-23, 2020. [Link]

  16. R. Wu, C. Zhou, F. Chao*,  L. Yang; C.-M. Lin, C. Shang. GANCCRobot: Generative Adversarial Nets based Chinese Calligraphy Robot. Information Sciences, 516, 474-490, 2020. [Link]

  17. X. Gao, C. Zhou, F. Chao*, L. Yang, C.-M. Lin, and C. Shang. A Robotic Writing Framework -- Learning Human Aesthetic Preferences via Human-Machine Interactions. IEEE ACCESS, 7, 144043 - 144053, 2019. [Link]

  18. X. Gao, C. Zhou, F. Chao*, L. Yang, C.-M. Lin, T. Xu, C. Shang, and Q. Shen. A data-driven robotic Chinese calligraphy system using convolutional auto-encoder and differential evolution. Knowledge-Based Systems. 182:104802. 2019.  [Link]

  19. W. Fang, F. Chao*, C.-M. Lin, L. Yang, C. Shang, and C. Zhou. An Improved Fuzzy Brain Emotional Learning Model Network Controller for Humanoid Robots. Frontiers in Neurorobotics. 13:2, 2019.  [Link]

  20. W. Fang, F. Chao*, L. Yang, C.-M. Lin,  C. Shang, C. Zhou, and Q. Shen. A Recurrent Emotional CMAC Neural Network Controller for Vision-based Mobile Robots. Neurocomputing. 334, 227-238, 2019. [Link]

  21. F. Chao*, Y. Huang, C.-M. Lin, L. Yang, H. Hu, and C. Zhou. Use of Automatic Chinese Character Decomposition and Human Gestures for Chinese Calligraphy Robots. IEEE Transactions on Human-Machine Systems. 49:1, 47-58, 2019. [Link]

  22. F. Chao*, Z. Zhu, C.-M. Lin, H. Hu, L. Yang, C. Shang, and C. Zhou. Enhanced Robotic Hand-eye Coordination inspired from Human-like Behavioral Patterns. IEEE Transactions on Cognitive and Developmental Systems. 10, 2, 384-396, 2018. [Link]

  23. Q. Wu, C.-M. Lin, W. Fang, F. Chao*, L. Yang, C. Shang and C. Zhou. Self-organizing Brain Emotional Learning Controller Network for Intelligent Control System of Mobile Robots. IEEE ACCESS. 6, 59096-59108, 2018. [Link]

  24. T. Luo, C. Zhou, F. Chao*. Exploring spatial-frequency-sequential relationships for motor imagery classification with recurrent neural network. BMC Bioinformatics. 19, 344, 1-18, 2018. [Link]

  25. D. Zhou, M. Shi, F. Chao*,  C-M Lin, L. Yang, C. Shang, C. Zhou. Use of Human Gestures for Controlling a Mobile Robot via Adaptive CMAC Network and Fuzzy Logic Controller. Neurocomputing. 282, 22, 218-231, 2018. [Link]

  26. F. Chao, D. Zhou, C.-M. Lin, C. Zhou, M. Shi, D*. Lin. Fuzzy cerebellar model articulation controller network optimization via self-adaptive global best harmony search algorithm. Soft Computing. 22, 10, 3141-3153, 2018. [Link]

  27. R. Wu, C. Zhou, F. Chao*, Z. Zhu, C.-M. Lin, and L. Yang. A Developmental Learning Approach of Mobile Manipulator via Playing. Frontiers in Neurorobotics. 11, Paper Number 51, 2017. [Link]

  28. F. Chao*, Y. Huang, X. Zhang, C. Shang, L. Yang, C. Zhou, H. Hu, C-M Lin. A Robot Calligraphy System: From Simple to Complex Writing by Human Gestures. Engineering Applications of Artificial Intelligence. 59, 1-14, 2017. [Link]

  29. M. Shi, C. Zhou, Q. Hong, M. Jiang, S. Li, F. Chao*, et al. EEG-based Brain Computer Interface for Chinese Spelling System: A Survey. To appear in Frontiers of Information Technology & Electronic Engineering. 2016. [Link]

  30. Yao, G., Chao, F.*, Su, C., and C. Zhou. Integration of classifier diversity measures for feature selection-based classifier ensemble reduction.  Soft Computing. 20, 8, 2995–3005, 2016.  [Link]

  31. Chao, F.,  Wang, Z., Shang, C., Meng, Q., Jiang, M., Zhou, C., and Shen, Q.*. A developmental approach to robotic pointing via human-robot interaction. Information Sciences., 283, 288-303, 2014. [Link]

  32. Chao, F., Chen, F., Shen, Y., He, W., Sun, Y., Wang, Z., Zhou, C., and Jiang M*. Robotic free writing of Chinese characters via human robot interactions. International Journal of Humanoid Robotics., 11(1), 1450007, 2014 [Link]

  33. Chao, F., Lee, M. H., Jiang, M.*, and Zhou, C. An Infant Development-inspired Approach to Robot Hand-eye Coordination. International Journal of Advanced Robotic Systems, 11 (15), 2014. [Link]

  34. Chao, F., Zhang, X., Lin, H, Zhou CL, Jiang M.* Learning robotic hand-eye coordination through a developmental constraint driven approach. International Journal of Automation and Computing, 10(5), 414-424, 2013. [Link]

  35. Chao, F., Lee, M. H.*, and Lee, J. J. A developmental algorithm for ocular-motor coordination. Robotics and Autonomous Systems, 58(3), 239—248, 2010. [Link]

会议论文:

  • H. Chu, S. Dai, P. Dai, S. Zhang, X. L, Y. Zhang, F. Chao*. CPE COIN++: Towards Optimized Implicit Neural Representation Compression via Chebyshev Positional Encoding. PRCV 2024.

  • X. Chang, F. Chao, , C.Shang, Q. Shen. Automated Action Evaluation for Robotic Imitating Learning Via Siamese Neural Networks. ICRA 2023. 

  • J. Zhang, Q. Li, X. Chang, F. Chao, C.-M. Lin, L. Yang, T.-T. Huynh, L. Zheng, C. Zhou, C.Shang. A Novel Self-Organizing Emotional CMAC Network for Robotic Control. IJCNN 2020.

  • Q. Li, F. Chao, X. Gao, L. Yang, C.-M. Lin, C. Shang, C. Zhou. A Robotic Chinese Stroke Generation Model Based on Competitive Swarm Optimizer. UKCI 2019: 92-103

  • J. Liu, C.-M. Lin, F. Chao. Gradient Boost with Convolution Neural Network for Stock Forecast. UKCI 2019: 155-165

  • N. Elisa, L. Yang, Y. Qu, F. Chao. A Revised Dendritic Cell Algorithm Using K-Means Clustering. HPCC/SmartCity/DSS 2018: 1547-1554

  • Tien-Loc Le, Tuan-Tu Huynh, C.-M. Lin, F. Chao.Breast Cancer Diagnosis Using K-Means Type-2 Fuzzy Neural Network. SMC 2018: 4150-4154

  • Chao, F., Lv, J., Zhou, D., Yang, L., Lin, C-M., Shang, C., Zhou, C. Generative Adversarial Nets in Robotic Chinese Calligraphy. 2018 IEEE International Conference on Robotics and Automation (ICRA), 2018.

  • · Zhou, Q., Lin, C-M., Chao, F. Adaptive Noise Cancelation with Fuzzy Brain Emotional Learning Network. Proceedings of UKCI 2017, 2017.

  • · Zhou, D., Wu, R., Chao, F., Lin, C-M., Yang, L., and Zhou, C. A Computational Evaluation System of Chinese Calligraphy via Extended Possibility-Probability Distribution Method. Proceedings of ICNC-FSKD 2017, 2017.

  • · Zhou, D., Chao, F., Lin, C-M., Yang, L., and Zhou, C. Integration of Fuzzy CMAC and BELC Networks for Uncertain Nonlinear System Control. Proceedings of FUZZ-IEEE 2017, 2017.

  • · Zhou, D., Chao, F.*, Shi, M. Lin, C-M., and Zhou, C. Harmony Search Algorithm for Fuzzy Cerebellar Model Articulation Controller Networks Optimization. Proceedings of the 16th UK Workshop on Computational Intelligence (UKCI), ser. Advances in Computational Intelligence Systems, pp. 45-58, 2017.

  • · Zhou, D., Chao, F., Zhu, Z. Lin, C-M., and Zhou, C. A Novel Approach to a Mobile Robot via Multiple Human Body Postures. Proceedings of the 12th World Congress on Intelligent Control and Automation, pp. 1463-1468, 2016.

  • · Ge, J., Chao, F., and Zhou, C. Use of Possibility-Probability Distribution for Computational Evaluation of Chinese Calligraphy. Proceedings of 2015 UK Workshop on Computational Intelligence (UKCI), Paper number 39, 2015.

  • · Zhu, Z., Chao, F., Zhang, X., Jiang, M., and Zhou, C. A Developmental Approach to Mobile Robotic Reaching. 8th International Conference on Intelligent Robotics and Applications (ICIRA2015), pp. 284--294, 2015.

  • · Yao, G., Chao, F., Zeng, H., Shi, M.*, Jiang, M., and Zhou, C. Integrate Classifier Diversity Evaluation to Feature Selection Based Classifier Ensemble Reduction. Proceedings of 2014 UK Workshop on Computational Intelligence (UKCI), 2014. (最佳学生论文奖)

  • · Chao, F., Sun, Y., Wang, Z., Yao, G., Zhu, Z., Zhou, C., Meng, Q., and Jiang, M. A Reduced Classifier Ensemble Approach to Human Gesture Classification for Robotic Chinese Handwriting. Proceedings of 2014 IEEE Conference on Fuzzy Systems (FUZZ-IEEE), 1720--1727, 2014.

  • · Wang, Z., Chao, F., Lin, H., Jiang, M., and Zhou, C. A Human-like Learning Approach to Developmental Robotic Reaching. Proceedings of 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 581—586, 2013.

  • · Chao, F., Lin, H., Jiang, M., and Zhou, C. A Developmental Constraint Driven Approach to developmental robotic hand-eye coordination. Proceedings of 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO), pp. 1848—1853, 2012.

  • · Chao, F., Lin, H., Jiang, M., Shi, M. and J. Chao Integration of brain-like computational structure and infant behaviorial pattern for robotic hand-eye coordination. Proceedings of the 12th International Conference on Control, Automation, Robotics and Vision (ICARCV), pp. 100—105, 2012.

  • · Shi M., Zhou, C., Chao, F., and Jiang, M. An algorithm for computing attribute reducts based on graph search strategy. Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), pp. 1—8, 2012.

  • · Chao, F., & Lee, M. H. An autonomous developmental learning approach for robotic eye-hand coordination. Proceedings of Artificial Intelligence and Applications, paper number 639-013, 2009.

更新日期：2024-09-15