1基本信息

姓名：欧阳德强

性别：男

职称：助理研究员

办公地点：主教1830

E-mail：deqiangouyang@cqu.edu.cn

研究方向：计算机视觉，机器学习，机器人控制等

2个人简介：

欧阳德强，重庆大学弘深青年教师，电子科技大学博士。曾为新西兰奥克兰大学访问学生等。研究方向包括（但不局限于）计算机视觉，机器学习，以及机器人控制等。参与国家自然科学基金重点项目1项，四川省科技厅重点研发项目1项，国家自然科学基金3项等。已在国际主流期刊及会议发表20余篇重要的学术论文，其中以第一作者或通讯作者发表10篇，包括IEEE TNNLS, NN, ACM MM等。曾获2020年电子科技大学优秀毕业生。受邀为多个国际期刊会议审稿人，包括：IEEE TNNLS, IEEE TCYB等。欢迎本科生提前参与科研，优秀者可以留实验室或推荐到海外继续深造。感兴趣的同学可发邮件咨询。

3学术成果

论文

期刊论文

11.Deqiang Ouyang, Jie Shao, Haijun Jiang, Sing Kiong Nguang, and Heng Tao Shen, “Impulsive synchronization of coupled delayed neural networks with actuator saturation and its application to image encryption”, Neural Networks 128, 158-171 (2020). (中科院一区)

10. Liruo Zhang, Sing Kiong Nguang,Deqiang Ouyang*, and Shen Yan, “Synchronization of Delayed Neural Networks via Integral-Based Event-Triggered Scheme”, IEEE Transactions on Neural Networks and Learning Systems 31(12), 5092-5102 (2020). (中科院一区，*通讯作者)

9.Deqiang Ouyang, Jie Shao, and Cheng Hu, “Stability property of impulsive inertial neural networks with unbounded time delay and saturating actuators”, Neural Computing and Applications 32, 6571-6580 (2020). (中科院二区)

8.Deqiang Ouyang, Jie Shao, Haijun Jiang, Shiping Wen, and Sing Kiong Nguang, “Finite-time stability of coupled impulsive neural networks with time-varying delays and saturating actuators”, Neurocomputing, In press, (2020). (中科院二区)

7. Hongfei Li, Chuandong Li,Deqiang Ouyang, and Sing Kiong Nguang, “Impulsive Synchro- nization of Unbounded Delayed Inertial Neural Networks With Actuator Saturation and Sampled-Data Control and Its Application to Image Encryption”, IEEE Transactions on Neural Networks and Learning Systems, In press, (2020).(中科院一区)

6. Hongfei Li, Chuandong Li,Deqiang Ouyang, and Sing Kiong Nguang, “Impulsive Stabiliza- tion of Nonlinear Time-Delay System With Input Saturation via Delay-Dependent Polytopic Approach”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, In press, (2020). (中科院二区)

5. Hongfei Li, Chuandong Li,Deqiang Ouyang, Sing Kiong Nguang, and Zhilong He, “Observer- Based Dissipativity Control for TS Fuzzy Neural Networks With Distributed Time-Varying Delays”, IEEE Transactions on Cybernetics, In press, (2020). (中科院一区)

4.Deqiang Ouyang, Yonghui Zhang, and Jie Shao, “Video-based person re-identification via spatio-temporal attentional and two-stream fusion convolutional networks”, Pattern Recognition Letters 117, 153-160 (2019). (中科院三区)

3. Hongfei Li, Chuandong Li, Tingwen Huang, andDeqiang Ouyang, “Fixed-time stability and stabilization of impulsive dynamical systems”, Journal of the Franklin Institute 354 (18), 8626-8644 (2017). (中科院二区)

2. Chengkun He, Jie Shao, Xing Xu,Deqiang Ouyang, and Lianli Gao, “Exploiting score distribution for heterogenous feature fusion in image classification”, Neurocomputing 253, 70-76 (2017). (中科院二区)

1.Deqiang Ouyang,Zhiyong Yu, Haijun Jiang, and Cheng Hu, “Consensus for general multi- agent networks with external disturbances”, Neurocomputing 198, 100-108 (2016). (中科院二区)

会议论文

4. Xinyao Li, Dongyang Zhang, Zhenwen Liang,Deqiang Ouyang*, and Jie Shao, “Fused Recurrent Network via Channel Attention for Remote Sensing Satellite Image Super-Resolution”, In Proceedings of the 2020 IEEE International Conference on Multimedia and Expo (ICME) July 6-10, London, United Kingdom (2020). (CCF B，*通讯作者)

3. Xiaochen Wang, Tingsong Xiao, Jie Tan,Deqiang Ouyang*, and Jie Shao, “MRMRP: Multi- source Review-based Model for Rating Prediction”, In Proceedings of the 25th International Conference on Database Systems for Advanced Applications (DASFAA) May 21-24, Jeju, South Korea (2020). (CCF B，*通讯作者)

2. Hui Xu, Chong Zhang, Jiaxing Wang,Deqiang Ouyang, Yu Zheng, and Jie Shao, “Exploring Parameter Space with Structured Noise for Meta-Reinforcement Learning”, In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI) July 11-17, Yokohama, Japan (2020). (CCF A)

1.Deqiang Ouyang, Jie Shao, Yonghui Zhang, Yang Yang, and Heng Tao Shen, “Video-based Person Re-identification via Self-Paced Learning and Deep Reinforcement Learning Framework”, In Proceedings of the 26th ACM International Conference on Multimedia (ACM MM) pages 1562-1570, October 22-26, Seoul, Korea (2018). (CCF A)

专利

1.视频行人再识别方法、装置及存储介质,邵杰,欧阳德强,张永辉,申恒涛,申请(专利)号: 201810300886.X

项目

5.之江国际青年人才基金，项目主研，基于视觉的机械臂智能抓取，时间：2021-2022

4.四川省科技厅重点研发项目，项目骨干，四川省新一代人工智能产业应用关键技术研发及示范，批准号：2019YFG0535，时间：2019—2021

3.国家自然科学基金面上项目，项目骨干，融合自然语言处理的深度视觉理解关键技术研究，批准号：61872064，时间：2019—2022

2.国家自然科学基金面上项目，项目骨干，协同深度视觉理解，描述和视觉问答的关键技术研究，批准号：61772116，时间：2018—2021

1.国家自然科学基金重点项目，项目骨干，移动交互环境下的大媒体内容分析与检索，批准号：61632007，时间：2017—2021