主讲课程 及教学成果 |
l 课程:Python语言、人工智能导论、机器学习、数据库系统原理与应用 l 教材:深度学习,电子工业出版社,2018.03,ISBN:978-7-121-33521-1 l 校级优秀本科毕设:2017,2020,2022 l 指导学生获得软著12个,专利3个,学生创新创业项目3项 l 协助指导联合培养研究生5名 |
代表性成果 |
DBLP论文列表: https://dblp.uni-trier.de/pid/17/5245-2.html [1] Zhixiang Chen, Haifeng Zhao*, Yan Zhang, Guozi Sun, Tianjian Wu. Self-Supervised Learning for Sketch-Based 3D Shape Retrieval. PRCV 2022. [2] Xinhai Ye, Fengchao Xiong, Jianfeng Lu, Haifeng Zhao, Jun Zhou. M2-Net: A Multi-scale Multi-level Feature Enhanced Network for Object Detection in Optical Remote Sensing Images. DICTA 2020: 1-8. 2020 (Best Student Paper) [3] Haifeng Zhao, Jun Zhou, Yanyang Gu, Chee Meng Benjamin Ho, Say Hwa Tan, Yongsheng Gao. Real- Time Computing for Droplet Detection and Recognition. RCAR 2018: 589-594, 2018 [4] Haifeng Zhao, Yong Hu, Jinxia Zhang. Character Recognition via a Compact Convolutional Neural Network. DICTA 2017: 1-6, 2017 [5] Haifeng Zhao, Jun Cheng, Jun Jiang, Dacheng Tao. Multiple Instance Learning via Distance Metric Optimization. ICIP 2013: 2617-2621, Melbourne, Australia, 2013. |