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董丽

董丽,博士,助理教授。 2022年毕业于哈尔滨工业大学,主要研究方向为:图像及视频计数。其在包括《IEEE Transactions on Neural Networks and Learning Systems》、《Information Sciences》和《IEEE Transactions on Consumer Electronics》等重要学术期刊上发表了7篇论文。目前,主持深圳市高等院校稳定支持项目一项。欢迎感兴趣的同学加入研究组,有意请发简历到邮箱:dongli@sztu.edu.cn


一、教育经历

2017.03-2022.11  哈尔滨工业大学 计算机应用技术  博士

2009.09-2011.12  哈尔滨工业大学 计算机科学与技术 硕士

2005.09-2009.07  哈尔滨理工大学 网络工程   学士


二、工作经历

2023.02-今  深圳技术大学 0638太阳集团 助理教授

2015.03-2017.02 深圳咔嚓移动科技有限公司 联合创始人

2012.02-2014.01 百度国际科技有限公司 开发测试工程师


三、主要研究领域

计算机视觉、图像及视频计数


四、主要成果及荣誉

[1] Li Dong, Haijun Zhang, Jianghong Ma, Xiaofei Xu, Yimin Yang, and Q. M. JonathanWu. CLRNet: A Cross Locality Relation Network or Crowd Counting in Videos [J]. IEEE Transactions on Neural Networks and Learning Systems, 2022. DOI: 10.1109/TNNLS.2022.3209918. (中科院1区,Top期刊,JCR 1区,CCF-B,IF: 14.255,入选深圳市科协主办的 “第三届深圳市优秀科技学术论文”)

[2] Li Dong, Haijun Zhang, Yuzhu Ji, and Yuxin Ding. Crowd Counting by Using Multi-level Density-based Spatial Information: A Multi-scale CNN Framework [J]. Information Sciences, 2020, 528: 79-91. DOI: 10.1016/j.ins.2020.04.001.(中科院1区,Top期刊,JCR 1区,CCF-B,IF:8.233)

[3] Li Dong, Haijun Zhang, Kai Yang, Dongliang Zhou, Jianyang Shi, and Jianghong Ma. Crowd Counting by Using Top-k Relations: A Mixed Ground-Truth CNN Framework [J]. IEEE Transactions on Consumer Electronics, 2022, 68(3): 307-316. DOI: 10.1109/TCE.2022.3190384. (中科院2区,JCR 2区,IF:4.414)

[4] Li Dong, Haijun Zhang, Dongliang Zhou, Jianyang Shi, and Jianghong Ma. CCTwins: A Weakly-Supervised Transformer-based Crowd Counting Method with Adaptive Scene Consistency Attention. IEEE Transactions on Consumer Electronics, 2023, DOI:10.1109/TCE.2023.3274651.(中科院2区,JCR 2区,IF:4.414)

[5] Haijun Zhang, Qingji Ren, Li Dong, and Kim Fung Tsang. FastPlane: A Fully Convolutional Network for Real-time 3D Plane Segmentation[C]//2024 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2024: 1-6. (唯一通讯)

[6] Kai Yang, Haijun Zhang, Dongliang Zhou, Li Dong. PaaRPN: Probabilistic Anchor Assignment with Region Proposal Network for Visual Tracking [J]. Information Sciences, 2022, 598:19-36. (中科院1区, JCR 1区, CCF B类, IF:8.233)

[7] Kai Yang, Haijun Zhang, Dongliang Zhou, Li Dong and Jianghong Ma. IASA: An IoU-aware Tracker with Adaptive Sample Assignment [J]. Neural Networks, 2023, DOI: https://doi.org/10.1016/j.neunet.2023.01.038. (中科院1区, JCR 1区, CCF B类, IF:9.657)

[8] 张海军,董丽。基于空间信息融合与卷积神经网络的人群计数方法。发明专利,授权,2020-04-13, 中国, ZL202010287687.7

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