
Yao LU
Professor of AI in the Faculty of Engineering at SMBU
陆耀 教授
深圳北理莫斯科大学工程系 教授
Professor Yao LU received his PhD degree in Engineering from Gunma University, Japan. He is currently a professor of the Faculty of Engineering at Shenzhen MSU-BIT University. He was a professor and doctoral supervisor at the School of Computer Science of Beijing Institute of Technology, and a visiting professor at Gunma University, Japan, and the University of Technology Sydney. He is a member of the Vision Committee of the Computer Society. He has presided over more than 30 scientific research projects funded by the National Natural Science Foundation of China, sub-projects of the National Key R&D Program, Beijing Natural Science Foundation, the National Space Special Project, China Central Television, and the State Sports General Administration. He has published more than 200 papers in important academic journals and conferences.
陆耀,教授。曾任北京理工大学计算机学院教授、博士生导师,人工智能研究所所长、智能感知与计算技术团队负责人。日本群马大学客座教授和悉尼科技大学ResarchFellow。美国ACM/IEEE会员、日本 IEICE 学会高级会员,中国计算机学会高级会员,中国计算机学会视觉专委会和普及工作委员会委员。曾任国家科技奖励办、北京市科技奖励评审专家组成员。作为主持人承担了国家自然科学基金、国家重点研发课题、教育部博士点基金、北京市自然科学基金、北京市重大科技支撑计划、航天专项基金、中央广播电视总台基金项目、广东省重点专项、深圳市自然科学基金和一批产学研企业合作项目等30余项。主要研究方向包括图像超分辨率,计算机视觉目标检测、分割与跟踪,人脸检测与识别,光场图像超分辨率与三维场景重建,人体姿态、动作与群体行为分析等。指导学生获得国际顶级会议CVPR NITRE光场超分赛道2024、2025冠军。在 IEEE TIP、TMM、TGARS、NNLS、PR、TCSVT、IJRS 等国际期刊和ICCV、CVPR、AAAI、NeurIPS、ICME、ICASSP、ICIP等国际会议上发表论文200余篇,获批技术发明专利3项。
Selected papers
1. Shunzhou Wang, Tianfei Zhou, Yao Lu*, Huijun Di,Detail-Preserving Transformer for Light Field Image Super-resolution,AAAI,2022。
2. Shunzhou Wang,Tianfei Zhou ,Yao Lu*, and Huijun Di,Contextual Transformation Network for Lightweight Remote-Sensing Image Super-Resolution,IEEE Transactions on Geoscience and Remote Sensing,2022。
3. Lihua Lu , Yao Lu*, Ruizhe Yu, Huijun Di, Lin Zhang, and Shunzhou Wang,GAIM: Graph Attention Interaction Model for Collective Activity Recognition, IEEE Transactions on Multimedia, 524-539, 2020。
4. Yan Wang, Yao Lu∗, Shunzhou Wang, Wenyao Zhang and Zijian Wang, Local-Global Feature Aggregation for Light Field Image Super-resolution, ICASSP2022。
5. 李公平,陆耀*,王子建,吴紫薇,汪顺舟,基于模糊核估计的图像盲超分辨率神经网络,自动化学报,2023,49(10)2109-2121。