阎韶琦

发布时间:2025-04-28浏览次数:49


一、个人简介

 阎韶琦,男,汉族,1990.08出生,专任教师

 归属学科专业:机器人工程

 学部任职:无

二、主要学习与工作经历

2024.10--迄今:上海应用技术大学智能技术学部机器人工程系,讲师

2019.09 - 2024.09:复旦大学,电子与信息,博士   

2016.09 - 2019.07:复旦大学,软件工程,硕士   

2009.09 - 2013.07:临沂大学,机械设计制造及其自动化,本科

三、主要科研工作与成绩

3.1 科研项目

 博士期间参与科技创新2030“新一代人工智能”重大项目(科技部):主要内容是针对复杂工况环境下的产品表面外观缺陷检测,针对复杂工况环境,研究认知神经网络的信息传递与提取方法,构建高精度、高效率的缺陷检测模型。

3.2 科研成果

1、Shaoqi Yan, Yan Wang, Xinji Mai, Zeng Tao, Wei Song, Qing Zhao, Boyang Wang, Haoran Wang, Shuyong Gao, Wenqiang Zhang. Observe Finer To Select Better: Learning Key Frame Extraction via Semantic Coherence for Dynamic Facial Expression Recognition in the Wild. (Information Sciences)  SCI Q1IF = 8.1

2、Yan Wang, Shaoqi Yan, Wei Song, Antonio Liotta, Jing Liu, Dingkang Yang, Shuyong Gao, Wenqiang Zhang. MGR3Net: Multigranularity Region Relation Representation Network for Facial Expression Recognition in Affective Robots. (IEEE Transactions on Industrial Informatics)  SCI Q1IF = 12.3

3、Shaoqi Yan, Yan Wang, Xinji Mai, Qing Zhao, Wei Song, Jun Huang, Zeng Tao, Haoran Wang, Shuyong Gao, Wenqiang Zhang. Empower smart cities with sampling-wise dynamic facial expression recognition via frame-sequence contrastive learning. (Computer Communications)  SCI Q1IF = 6.0

4、Xinji Mai, Junxiong Lin, Haoran Wang, Zeng Tao, Yan Wang, Shaoqi Yan, Xuan Tong, Jiawen Yu, Boyang Wang, Ziheng Zhou, Qing Zhao, Shuyong Gao, Wenqiang Zhang. All rivers run into the sea: Unified modality brain-inspired emotional central mechanism. (ACM International Conference on Multimedia)  CCF A

5、Shaoqi Yan, Yan Wang, Xinji Mai, Qing Zhao, Boyang Wang, Wei He, Wenqiang Zhang. Coarse-to-Fine Key Frame Selection for Dynamic Facial Expression Recognition. (International Conference on Networking Systems of AI) EI Best Conference paper

6、Junxiong Lin, Yan Wang, Zeng Tao, Boyang Wang, Qing Zhao, Haorang Wang, Xuan Tong, Xinji Mai, Yuxuan Lin, Wei Song, Jiawen Yu, Shaoqi Yan, Wenqiang Zhang. Adaptive Multi-modal Fusion of Spatially Variant Kernel Refinement with Diffusion Model for Blind Image Super-Resolution. (European Conference on Computer Vision)  CCF A

7、Zeng Tao, Yan Wang, Zhaoyu Chen, Boyang Wang, Shaoqi Yan, Kaixun Jiang, Shuyong Gao, Wenqiang Zhang. Freq-HD: An Interpretable Frequency-based High-Dynamics Affective Clip Selection Method for in-the-Wild Facial Expression Recognition in Videos. (ACM International Conference on Multimedia)  CCF A

8、Boyang Wang, Yan Wang, Qing Zhao, Junxiong Lin, Zeng Tao, Pinxue Guo, Zhaoyu Chen, Kaixun Jiang, Shaoqi Yan, Shuyong Gao, Wenqiang Zhang. A Capture to Registration Framework for Realistic Image Super-Resolution in the Industry Environment. (ACM International Conference on Multimedia)  CCF A

9、Junxiong Lin, Zen Tao, Xuan Tong, Xinji Mai, Haoran Wang, Boyang Wang, Yan Wang, Qing Zhao, Jiawen Yu, Yuxuan Lin, Shaoqi Yan, Shuyong Gao, Wenqiang Zhang. Suppressing uncertainties in degradation estimation for blind super-resolution. (ACM International Conference on Multimedia)  CCF A

10、Haoran Wang, Xinji Mai, Zeng Tao, Xuan Tong, Junxiong Lin, Yan Wang, Jiawen Yu, Boyang Wang, Shaoqi Yan, Qing Zhao, Ziheng Zhou, Shuyong Gao, Wenqiang Zhang. D2SP: Dynamic Dual-Stage Purification Framework for Dual Noise Mitigation in Vision-based Affective Recognition (IEEE/CVF Conference on Computer Vision and Pattern Recognition) CCF A

11、Qing Zhao, Yan Wang, Boyang Wang, Junxiong Lin, Shaoqi Yan, Wei Song, Antonio Liotta, Jiawen Yu, Shuyong Gao, Wenqiang Zhang. MSC-AD: A Multiscene Unsupervised Anomaly Detection Dataset for Small Defect Detection of Casting Surface. (IEEE Transactions on Industrial Informatics)  SCI Q1IF = 12.3

12、Qing Zhao, Yan Wang, Yuxuan Lin, Shaoqi Yan, Wei Song, Boyang Wang, Jun Huang, Yang Chang, Lizhe Qi, Wenqiang Zhang. Mixed noise-guided mutual constraint framework for unsupervised anomaly detection in smart industries. (Computer Communications)  SCI Q1IF = 6.0

四、主要社会学术团体兼职

 无

五、主要研究方向

主要研究方向为计算机视觉和机器人工程。在计算机视觉领域,专注于情感计算中的人脸表情识别研究,通过深度学习、机器学习等先进算法,不断提升视觉系统的识别准确性、鲁棒性和泛化能力,为人机情感交互、心理健康监测、智能驾驶系统等应用场景提供技术支撑。在机器人工程领域,研究聚焦于智能化机器人系统的设计与研发,包括智能机器人控制、决策以及人机协作等技术,旨在开发高效、灵活的智能机器人系统,以满足工业自动化、智能制造等领域的实际需求。

六、联系方式

办公室:上海应用技术大学(奉贤校区)第一学科楼A421

Email地址:sqyan@sit.edu.cn