北京郵電大學人工智慧學院教授，博士生導師。2011年畢業於北京理工大學計算機學院計算機套用技術專業，獲得工學博士學位。主要研究領域：計算機視覺、機器學習、醫療AI。主持或參與國家自然科學基金面上、國家重點研發計畫、北京市自然科學基金、教育部博士點基金等國家級/省部級/企業項目十餘項。在IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)、IEEE Transactions on Image Processing (T-IP)、IEEE Transactions on Information Forensics and Security (T-IFS)、IEEE Transactons on Affective Computing (TAFFC)、CVPR、ACM MM、MICCAI等國際權威期刊和頂級會議發表論文40多篇，3篇入選ESI高被引論文。指導研究生獲得ICCV 2021 (Urban3D Challenge)、FG 2021 (RFIW Challenge)等多個國際競賽冠軍。現擔任SCI期刊《Neurocomputing》編委，CCF計算機視覺專委會委員、CCF多媒體專委會委員、CAA模式識別與機器智慧型專委會委員、CSIG視覺大數據專委會委員。
基本介紹
- 中文名：周修莊
- 國籍：中國
- 畢業院校：北京理工大學
- 學位/學歷：工學博士
- 職業：教師
- 專業方向：計算機視覺、機器學習、醫療AI
- 職務：國際SCI期刊《Neurocomputing》編委
研究領域,教學工作,學術成果,科研項目,成果及論著,
研究領域
計算機視覺、機器學習、醫療AI
教學工作
《計算機視覺》
學術成果
科研項目
1、基於對抗學習的人臉抑鬱情緒識別研究，國家自然科學基金（面上），2020.1-2023.12，主持；
2、基於深度度量學習的人臉抑鬱情感識別研究，北京市自然科學基金，2020.1-2022.12，主持；
3、基於測度學習的人臉血緣關係識別研究，國家自然科學基金（面上），2014.1-2017.12，主持；
4、無約束環境下的人臉血緣關係識別研究，教育部博士點基金，2014.1-2016.12,主持；
5、人臉血緣關係識別方法及其在失散人員尋找中的套用，北京市自然科學基金，2014.1-2016.12，主持
成果及論著
- X. Zhou, K. Jin, Y. Shang, and G. Guo, "Visually interpretable representation learning for depression recognition from facial images," IEEE Transactions on Affective Computing, 2018.
- X. Zhou, K. Jin, Q. Chen, and M. Xu, "Multiple face tracking and recognition with identity-specific localized metric learning," Pattern Recognition, 2018.
- J. Lu, V. E. Liong, X. Zhou, and J. Zhou, "Learning compact binary face descriptor for face recognition," IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015.
- H. Yan, J. Lu, and X. Zhou, "Prototype-based discriminative feature learning for kinship verification," IEEE Transactions on Cybernetics, 2015.
- J. Lu, X. Zhou, Y.-P. Tan, Y. Shang, and J. Zhou, "Neighborhood repulsed metric learning for kinship verification," IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014.
- H. Yan, J. Lu, W. Deng, and X. Zhou, "Discriminative multi-metric learning for kinship verification," IEEE Transactions on Information Forensics and Security, 2014.
- W. Deng, J. Hu, X. Zhou, and J. Guo, "Equidistant prototypes embedding for single sample based face recognition with generic learning and incremental learning," Pattern Recognition, 2014.
- J. Lu, X. Zhou, Y.-P. Tan, Y. Shang, and J. Zhou, "Cost-sensitive semi-supervised discriminant analysis for face recognition," IEEE Transactions on Information Forensics and Security, 2012.
- X. Zhou, Y. Lu, J. Lu, and J. Zhou, "Abrupt motion tracking via intensively adaptive Markov-chain Monte Carlo sampling," IEEE Transactions on Image Processing, 2012.
- J. Lu, J. Hu, X. Zhou, Y. Shang, and Y.-P. Tan, "Neighborhood repulsed metric learning for kinship verification," IEEE Int. Conf. Computer Vision and Pattern Recognition (CVPR), 2012.
- X. Zhou, J. Lu, J. Hu, and Y. Shang, "Gabor-based gradient orientation pyramid for kinship verification under uncontrolled environments," ACM Multimedia, 2012.
- J. Lu, J. Hu, X. Zhou, and Y. Shang, "Activity-based person identification using sparse coding and discriminative metric learning," ACM Multimedia, 2012.
- X. Zhou, J. Hu, J. Lu, Y. Shang, and Y. Guan, "Kinship verification from facial images under uncontrolled conditions," ACM Multimedia, 2011.
- X. Zhou and Y. Lu, "Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling," IEEE Int. Conf. Computer Vision and Pattern Recognition (CVPR), 2010.
