谷朝臣

职称:副研究员

邮箱:jacygu@sjtu.edu.cn

电话:021-34501196

地址:上海市闵行区东川路800号电信楼群2-523室

招生要求

1. 控制工程、机械工程、电子工程等专业背景;

2. 专业基础扎实、实践能力强、理论联系实际;

3. 有情怀,志于科学技术进步、民族工业发展。

教育经历

2007/09 – 2013/12,上海交通大学,机械与动力工程学院,博士
2003/09 – 2007/06,山东大学,机械工程学院,学士

工作经历

2018.01-至      今,上海交通大学,电子信息与电气工程学院,副研究员

2016.01-2017.12,上海交通大学,电子信息与电气工程学院,助理研究员

2014.01-2015.12,上海交通大学,电子信息与电气工程学院,博士后

科研方向

(1)精密仪器与复杂光机电系统

(2)机器人视觉感知与自主控制

(3)运动控制与高性能伺服系统

科研项目

  • 技术骨干, 上海市“科技创新行动计划”,纳米级精度五轴联动超精密加工机床研制及应用(子课题,超精密机床多轴联动控制),2022.09-2024.08

  • 主持,国家自然科学基金面上项目,机器人非结构化3D工业操作场景弱监督虚实迁移认知方法,2023.01-2026.12

  • 主持,教育部xx基金项目xxx控制器研发, 2021.12-2023.12

  • 主持,上海市科技攻关“揭榜挂帅”项目,大行程高精度垂向位移台研发,2021.11-2023.06

  • 技术骨干,自然资源部第二海洋研究所“深蓝计划”重点项目,基于人工智能的海洋硅藻自动鉴定与分析技术研究 ,2021.11-2024.10(交大方负责人)

  • 主持,上海航天先进技术联合研究基金重点项目,xxx 激光引导作业技术,2021.03-2022.10

  • 技术骨干,教育部-中国移动联合基金建设项目,智能制造关键技术-智能感知(工业传感网络与边缘计算技术),2020.05-2022.06

  • 技术骨干, 国家重点研发计划课题,基于5G大连接和边云协同的数据状态感知和动态传输规划,2020.05-2023.04

  • 主持,国家重点研发计划课题,智能工厂双层级管控一体网络与边缘端感知-控制技术,2019.05-2022.12

  • 主持,上海市“科技创新行动计划”,面向机器人非结构化操作的场景认知与自主控制技术研究,2019.09-2021.08

  • 主持,国家自然科学基金青年项目,面向智能机器人柔性装配系统自主控制的主动视觉感知技术研究,2016.01-2018.12

  • 主持,中国博士后科学基金,拟人上臂假肢的视觉反馈设计与智能双闭环控制方法研究,2014.01-2015.12

  • 技术负责人,国家重大科学仪器专项,多维高分辨生物组织表征与分析仪器开发与应用,2013.08-2018.09

  • 主持,企业合作项目,机器人自动溶液配制仪器研制,2016.01 – 2017.08

  • 主持,企业合作项目,焦尔精炼生产线控制软件系统研发,2016.01-2017.12

科研成果

期刊论文:

  • 位广宇, 谷朝臣*, 杨舒盛, 等. 非对称柔性支撑龙门双驱平台的解耦与同步控制[J]. 上海交通大学学报, 2023, 57(5): 593-600.
  • Gu CC*, Feng Q, Lu CS, et al. Towards Automated Robot Manipulation: A Unified Active Vision Framework[J]. International Journal of Robotics and Automation, 2023, 38 (4): 284-295.
  • Gu CC*, Feng Q, Lu CS, et al. Segmentation based 6D pose estimation using integrated shape pattern and RGB information[J]. Pattern Analysis and Applications,  2022, 25(4): 1055-1073.
  • Guan TK, Gu CC*, Lu CS, et al. Industrial Scene Text Detection with Refined Feature-attentive Network[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2022, 32(9): 6073-6085.
  • Lu CS, Gu CC*, Wu KJ, Deep Transfer Neural Network Using Hybrid Representations of Domain Discrepancy[J]. Neurocomputing, 2020, 409: 60-73.
  • Gu CJ, Gu CC*, Wu KJ, Guan XP, Zhang LJ. CAD-BASED Viewpoint Estimation of Texture-Less Object Using Domain Adaptation, International Journal of Robotics and Automation. 2019, 34(6).
  • Huang Y, Gu CC*, Guan XP. Integrating Classical Control into Reinforcement Learning Policy[J]. Neural Processing Letters, 2021, 53(3): 1709-1722.
  • Gu CC, Cheng H, Wu KJ*, et al. A High Precision Laser-Based Autofocus Method Using Biased Image Plane for Microscopy[J]. Journal of Sensors, 2018: 8542680
  • Yang BQ, Zhang T, Gu CC*, Guan XP. A novel face recognition method based on IWLD and IWBC[J]. Multimedia Tools and Applications, 2016, 75(12): 6979-7002.
  • Yang BQ, Gu CC*, Wu KJ, et al. Simultaneous dimensionality reduction and dictionary learning for sparse representation based classification[J]. Multimedia Tools and Applications, 2017, 76(6):8969–8990.
  • Gu CC, Wu KJ, Hu J*, Guan, XP. Region sampling for robust and rapid autofocus in microscope[J]. Microscopy research and technique, 2015, 78(5): 382-390.
  • Gu CC, Hu J*, Wu KJ, Peng YH. Quantitative behavioral knowledge modeling for functional case adaptation[J]. Research in Engineering Design, 2015, 26(4): 309-326.
  • Gu CC, Hu J*, Peng YH, Li S. FCBS model for functional kowledge representation in conceptual design[J]. Journal of Engineering Design, 2012, 23(8): 577-596. 
  • Gu CC, Hu J*, Peng YH. Functional case modelling for knowledge-driven conceptual design[J]. Proc. IMechE, Part B: J. Engineering Manufacture , 2012, 226(4): 757-771.

会议论文:

  • Guan TK, Gu CC*, Tu JZ, et al. Self-supervised Implicit Glyph Attention for Text Recognition[C],  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
  • Zhang F, Gu CC*, Zhang CY,Dai YC. Complementary Patch for Weakly-Supervised Semantic Segmentation[C], IEEE International Conference on Computer Vision (ICCV),2021
  • Zhao SX, Gu CC*, Lu CS, et al. PointDoN: A Shape Pattern Aggregation Module for Deep Learning on Point Cloud[C]//International Joint Conference on Neural Networks. IEEE, 2019.
  • Lu CS, Wang HT, Gu CC*, et al. Viewpoint Estimation for Workpieces with Deep Transfer Learning from Cold to Hot[C]//International Conference on Neural Information Processing. Springer, Cham, 2018: 21-32.
  • Huang Y, Gu C*, Wu KJ, et al. Parallel Search by Reinforcement Learning for Object Detection[C]//Chinese Conference on Pattern Recognition and Computer Vision (PRCV). Springer, Cham, 2018: 272-283.
  • Huang Y, Gu CC*, Wu KJ, et al. Reinforcement Learning Policy with Proportional-Integral Control[C]//International Conference on Neural Information Processing. Springer, Cham, 2018: 253-264.
  • Gu CJ, Lu CS, Gu CC*, Wu KJ ,Guan XP, Viewpoint estimation using triplet loss with a novel view-point-based input selection strategy[C]// International Conference on Control Engineering and Artificial Intelligence. 2019.
  • Zhang LJ, Gu CC*, Wu KJ, et al. Model-based Active Viewpoint Transfer for Purposive Perception. 13th IEEE Conference on Automation Science and Engineering (CASE), 2017.
  • Zhang LJ, Gu CJ, Gu CC*, et al. Semantic Translation with Convolutional Encoder-decoder Networks for Viewpoint Estimation. The 2017 Asian Control Conference (ASCC). 2017.
  • Wang D, Gu CC*, Wu KJ, et al. Adversarial Neural Networks for Basal Membrane Segmentation of Microinvasive Cervix Carcinoma in Histopathology Images .International Conference on Machine Learning and Cybernetics 2017. 2017.
  • Yang BQ, Gu CC*, Wu KJ, Guan XP. Supervised class-specific dictionary learning for pattern classification[C]. In Proceedings of the 15th International Conference of Machine Learning and Cybernetics, 2016.

获奖

2023.03  上海市自动化学会科技进步奖     一等奖

2022.12   数字医学技术及应用创新大赛     二等奖

2017.11   多维高分辨率数字病理扫描仪     第十九届中国国际高新技术成果交易会 《优秀产品奖》

2017.09   多维高分辨率数字病理扫描仪     第十九届中国国际工业博览会 《高校展区优秀展品奖特等奖》

2017.09   NCI-MICCAI 2017 Grand Challenge     第二名    

2017.06   基于面部特征识别的面瘫康复系统研究     上海交通大学优秀学士学位论文奖(TOP1%,指导)

教授课程

CS146, C语言程序设计

CS154, 程序设计思想与方法(C++)

团队主页

团队主页:http://iwin.sjtu.edu.cn/
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