个人介绍： 姓名：许佳炜 邮箱：jxulincoln@gmail.com 个人主页：https://sites.google.com/view/jiaweixu/homepage籍贯：上海长宁区 研究方向： 人因工程学，人类工效学 求学和学术经历： 副教授，温州大学，2020.3-至今，计算机与人工智能学院 讲师，英国纽卡斯尔大学，2019.1 -2019.6，人机交互与人因工程 博士后，英国纽卡斯尔大学，2015.10-2018.12，人机交互与人因工程博士，英国林肯大学，2011.10 -2015.6，人机交互与人因工程 硕士，韩国翰林大学, 2009.1-2011.3，电子工程系 语言培训，韩国翰林大学，2008.1-2008.12，韩国语课程学士，上海工程技术大学，2003.9-2007.7，汽车工程 企业工作经历： 2019.5，外聘兼职顾问，华为科技有限公司，智慧驾驶项目人因工程子项目 2020.12, 外聘兼职顾问，上海遨拓深水装备有限公司，水下机器人检测项目 主要荣誉: 1. 2010年 韩国多媒体协会最佳论文奖 2. 欧盟FP7 EYE2E, LIVCODE， HAZCEPT 2011-2015 博士全额奖学金 3. 2018 EYE GAZE WORKSHOP 最佳论文奖 科研： 主要发表期刊： 1. Jiawei Xu, Seop Hyeong Park and Xiaoqin Zhang, “A Temporally Irreversible Visual Attention Model Based on Motion Sensitive Neurons”, IEEE Transactions on Industrial Informatics (TII), 16(1), pp. 855-865, 2020. 2. Jiawei Xu, Seop Hyeong Park and Xiaoqin Zhang, “Improvement of Road Driving Safety Guided by Visual Perceptual Blindness,” IEEE Transactions on Intelligent Transportation Systems (TITS), 2021. 3. Jiawei Xu and Shigang Yue, “Mimicking Visual Searching with Integrated Top Down cues and Low-level Features,” Neurocomputing, volume 133, pp. 1-17, 2014. 4. Jiawei Xu, Seop Hyeong Park and Xiaoqin Zhang, “A Bio-inspired Motion Sensitive Model and Its Application to Estimating Human Gaze Positions under Classified Driving Conditions,” Neurocomputing, volume 345, pp. 23 -34, 2019. 5. Jiawei Xu, Xiaoqin Zhang, Huiling Chen, Jing Li, Jin Zhang, Ling Shao and Gang Wang, “Automatic Analysis of Mircoaneurysms Turnover to Diagnose the Progression of Diabetic Retinopathy”, IEEE Access, 6, pp. 9632 – 9642, 2018. 6. Jiawei Xu, Shigang Yue, Federica Menchinell and Kun Guo, “What has been missed for predicting human attention in viewing driving videos?”PeerJ, volume 5, e2946, 2017. 7. Jiawei Xu, Seop Hyeong Park, Xiaoqin Zhang, “Improvement of Viewing Experience on Stereoscopic Image Guided by Human Stereo Vision”, Multimedia Tools and Applications,79, pp. 4377–4394, 2019. 8. Jiawei Xu, Ruisheng Wang and Shigang Yue, “Bio-inspired Classifier for Road Extraction from Remote Sensing Imagery,” SPIE Journal of Applied Remote Sensing, 8(1), 083577, 2014. 9. Jiawei Xu, Shigang Yue and Yuchao Tang, “A Motion Attention Model Based on Rarity Weighting and Motion Cues in Dynamic Scenes,” International Journal of Pattern recognition and Artificial Intelligence, 27(6), 1355009, 2013. 10. Jiawei Xu and Shigang Yue, “Building up a Bio-inspired Visual Attention Model by Integrating Top- down Shape Bias and Improved Meanshift Adaptive Segmentation, ” International Journal of Pattern recognition and Artificial Intelligence, 29(4), 1555005, 2015. 11. Jiawei Xu, Kun Guo, Federica Menchinell and Seop Hyeong Park, “Eye Fixation Location Recommendation in Advanced Driver Assistance System,” Journal of Electrical Engineering & Technology, 14(6), pp. 965–978, 2019. 12. Dongdong Wang, Xinwen Hou, Jiawei Xu, Shigang Yue and Cheng-Lin Liu, “Traffic Sign Detection Using a Cascade Method with Fast Feature Extraction and Saliency Test,” IEEE Transactions on Intelligent Transportation Systems (TITS), 18(12), pp. 3290-3302, 2017. 13. Xiaoqin Zhang, Jinxin Wang, Tao Wang, Runhua Jiang, Jiawei Xu, Li Zhao, Robust Feature Learning for Adversarial Defense via Hierarchical Feature Alignment, Information Science, 2021. 14. Jian Zhang, Jian Yang, Jianqun Qian and Jiawei Xu, “Nearest Orthogonal Matrix Representation for Face Recognition,” Neurocomputing, 151(1), pp. 471-480, 2015. 15. Tao Wang, Li Zhao, Pengcheng Huang, Xiaoqin Zhang, Jiawei Xu, “Haze Concentration Adaptive Network for Image Dehazing” Neurocomputing, vol. 439, pp. 75-85, 2021. 16. Zhishe Wang, Jiawei Xu, Xiaolin Jiang, Xiaomei Yan, “Infrared and visible image fusion via hybrid decomposition of NSCT and morphological sequential toggle operator, ” OPTIK, 201:163497, 2020. 17. Chuang Zhang, Jiawei Xu, Xiaoyu Huang, Seop Hyeong Park, “No-Reference Image Quality Assessment Using Independent Component Analysis and Convolutional Neural Network,” Journal of Electrical Engineering & Technology, 14(5), pp. 487-496, 2019. 18. Chuang Zhang, Xian-wen, Sun, Jiawei Xu, Xiaoyu Huang, Seop Hyeong Park, “A Generative Adversarial Network to Denoise Depth Maps for Quality,” Journal of Electrical Engineering & Technology, 2021. 主要会议： 1. Xinxia Zhang, Xiaoqin Zhang, Li Zhao, Runhua Jiang, Pengcheng Huang and Jiawei Xu, “Multi-level Feature Fusion Network for Single Image Super-Resolution”, International Workshop on Big Media Dataset Construction, Management and Applications, 2020. 2. Shengping Wang, Li Zhao, Runhua Jiang, Pengcheng Huang, and Jiawei Xu, “Feature Fusion Based on Sparse Block for Image Super-resolution”, International Workshop on Big Media Dataset Construction, Management and Applications, 2020. 3. Mengqing Sun, Li Zhao, Jingjing Zheng and Jiawei Xu, “A Nonlocal Denoising Framework Based on Tensor Robust Principal Component Analysis with Lp norm”, International Workshop on Big Media Dataset Construction, Management and Applications, 2020. 4. Anqi Rong, Li Zhao, Pengcheng Huang, and Jiawei Xu, “Self-calibrated Attention Residual Network for Image Super-Resolution”, International Workshop on Big Media Dataset Construction, Management and Applications, 2020 会员身份： 中国人因工程协会会员 AFHEA 协会会员 专利申请： 《一种基于视觉注意力的安全驾驶方法》，温州大学计算机与人工智能学院 教学工作: 2019学年第一学期，《人因工程》32学时，（Newcastle University） 2019学年第二学期，《人机交互》16学时，（Newcastle University） 2020学年第一学期，《人工智能导论》32课时，温州大学 2020学年第二学期，《 智能制造技术基础》，64课时，温州大学 2020学年第二学期，《计算机图形学》，48课时，温州大学 推荐信： 1. Professor Kun Guo, 英国林肯大学心理学系，博士期间导师， 个人主页： https://staff.lincoln.ac.uk/kguo 邮箱：kguo@lincoln.ac.uk 2. Professor Seop Hyeong Park, 韩国翰林大学电子工程系，硕士期间导师，个人主页： https://sw.hallym.ac.kr/index.php?mp=1_4_13 邮箱：spark@hallym.ac.kr