简介：

李元满，博士，电子与信息工程学院助理教授，IEEE会员。于2012年获重庆大学软件工程专业学士。毕业后以全额奖学金推免到澳门大学，并分别于2015年和2018年获得澳门大学软件工程硕士和计算机科学博士学位。2018年9月至2019年8月于澳门大学智慧城市物联网国家重点实验室从事博士后研究。2019年9月至今就职于深圳大学电子与信息工程学院。长期从事计算机视觉，子空间学习，信息安全，图像增强等领域的科研和教学工作。获评深圳市"孔雀计划"海外高层次人才C类。在IEEE T-NNLS, IEEE T-NSE, IEEE T-IFS, IEEE T-CSVT, IEEE T-SC, IEEE CVPR, ICC, AAAI等国际权威期刊和会议上发表文章20余篇。担任IEEE Transactions on Image Processing, IEEE Transactions on Information Forensics and Security等多个期刊的审稿人。

联系方式:

邮箱: yuanmanli@szu.edu.cn

地址: 深圳大学电子与信息工程学院N605

研究兴趣：

计算机视觉；子空间学习；信息安全；图像增强

主讲课程：

大数据分析（本科生）；机器学习（研究生）

获奖与荣誉：

• 澳门研究生科技研发奖，澳门科学技术发展基金（2018）

• 研究生全额奖学金，澳门大学（2012-2015）

• 重庆大学优秀毕业生，重庆大学（2012）

• 国家奖学金，中华人民共和国教育部（2011）

• 全国大学生数学建模大赛全国二等奖，教育部（2010）

主要学术兼职：

• Member of IEEE (2018-至今)

• 中国图像图形学会（CSIG）-数字媒体取证与安全专业委员会委员 (2020.11-至今)

科研项目：

• National Natural Science Foundation of China (NSFC), 2021.01-2022.12, 300,000RMB.

• Overseas High-Caliber Personnel Fund, 2021.01-2022.12, 2,700,000 RMB.

• Natural Science Foundation of Guangdong, 2020.01-2021.12, 100,000 RMB.

• Natural Science Foundation of Shenzhen University, 2020.01-2022.12, 200,000 RMB.

• 横向项目，2020.07-2021.12，185,000 RMB.

学术成果

部分期刊论文：

• Yuanman Li, Jiantao Zhou, Junyang Chen, Jinyu Tian, Li Dong and Xia Li, “Robust Matrix Factorization via Minimum Weighted Error Entropy Criterion”, IEEE Transactions on Computational Social Systems (T-CSS), in press, 2021.

• Yuanman Li, R. Q. Liang, W. Wei, W. Wang, J. T. Zhou and X. Li, “Temporal Pyramid Network with Spatial-Temporal Attention for Pedestrian Trajectory Prediction”, IEEE Transactions on Network Science and Engineering (T-NSE), in press, 2021.

• Yuanman Li, J. T. Zhou, J. Y. Tian, X. W. Zheng and Y. Y .Tang, “Weighted Error Entropy based Information Theoretic Learning for Robust Subspace Representation”, IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), in press, 2021.

• Y. C. Su (Student), J. Du,Yuanman Li*, X. Li, Z. Y. Hua and J. T Zhou, “Trajectory Forecasting Based on Prior-Aware Directed Graph Convolutional Neural Network”, IEEE Transactions on Intelligent Transportation Systems (T-ITS), in press, 2022.

• J. X. You (Student),Yuanman Li*, J. T. Zhou, Z. Y. Hua, W. W. Sun and X. Li, “A Transformer based Approach for Image Manipulation Chain Detection”, ACM Multimedia (ACM MM-21), 2021.

• J. Y. Tian, J. T. Zhou andYuanman Li, “Deep Generative Model for Image Inpainting with Local Binary Pattern Learning and Spatial Attention”, IEEE Transactions on Multimedia (T-MM), 2021.

• W. W. Sun, J. T. Zhou,Yuanman Li, M. Cheung and J. She, “Robust High Capacity Watermarking over Online Social Network Shared Images”, IEEE Transactions on Circuits and Systems for Video Technology (T-SCVT), in press, 2021.

• Duan, J. T. Zhou andYuanman Li, “Privacy-Preserving distributed deep learning based on secret sharing”, Information Science (Inf. Sci.), vol. 527, pp. 108-127, 2020.

• J. Duan, J. T. Zhou andYuanman Li, “Secure and Verifiable Outsourcing of Large-scale Nonnegative Matrix Factorization (NMF)”, accepted in IEEE Trans. on Services Computing (T-SC), 2019.

• Yuanman Liand J. T. Zhou, “Fast and Effective Image Copy-Move Forgery Detection via Hierarchical Feature Point Matching”, IEEE Trans. on Inf. Forensics and Security (T-IFS), vol. 14, no. 5, pp. 1307-1322, 2019.

• Yuanman Li, J. T. Zhou, and A. Cheng, “SIFT Keypoint Removal via Directed Graph Construction for Color Images”, IEEE Trans. on Inf. Forensics and Security (T-IFS), vol. 12, no. 12, pp. 2971-2985, 2017.

• Yuanman Li, J. T. Zhou, A. Cheng, X. M. Liu, and Y. Y. Tang, “SIFT Keypoint Removal and Injection via Convex Relaxation”, IEEE Trans. on Inf. Forensics and Security (T-IFS), vol. 11, no. 8, pp. 1722-1735, 2016.

• Yuanman Liand J. T. Zhou, “Anti-Forensics of Lossy Predictive Image Compression”, IEEE Signal Processing Letters (SPL), vol. 22, no. 12, pp. 2219-2223, 2015.

部分会议论文：

• R. Q. Liang (Student),Yuanman Li*, X. Li, Y. Tang, J. T. Zhou and W. B. Zou, “Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision”, AAAI Conference on Artificial Intelligence (AAAI), 2021.

• J. Y. Tian, J. T. Zhou,Yuanman Liand J. Duan, “Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain”, AAAI Conference on Artificial Intelligence (AAAI), 2021.

• Z. Y. Hua, K. Y. Zhang,Yuanman Liand Y. C. Zhou, “Visually secure image encryption using adaptive-thresholding sparsification and parallel compressive sensing”, Signal Processing, in press, 2021.

• Z. Y. Hua, Z. H. Zhu, Y. Y. Chen andYuanman Li, “Color image encryption using orthogonal Latin squares and a new 2D chaotic system”, Nonlinear Dynamics, in press, 2021.

• Z. Y. Hua, J. X. Li,Yuanman Liand Y. Y. Chen “Image encryption using value-differencing transformation and modified ZigZag transformation”, Nonlinear Dynamics, in press, 2021.

• W. Wang, B. X. Lu,Yuanman Li, W. Wei, J. Q. Li, S. Mumtaz and M. Guizani, “Task Scheduling Game Optimization for Mobile Edge Computing”, IEEE International Conference on Communications (ICC), in press, 2021.

• Yuanman Li, J. T. Zhou, X. W. Zheng, J. Y. Tian and Y. Y. Tang, “Robust Subspace Clustering with Independent and Piecewise Identically Distributed (i.p.i.d.) Noise Modeling”, IEEE Conf. Comput. Vis. and Pattern Recogn. (CVPR), 2019 (Oral, AR 5.6%).

• H.W.WU, J.T. Zhou,Yuanman Li, “Image Reconstruction from Local Descriptors Using Conditional Adversarial Networks“, In Proceedings of APSIPA Annual Summit and Conference (ASC-2019), 2019. (Oral)

• Yuanman Liand J. T. Zhou, “Image Copy-Move Forgery Detection Using Hierarchical Feature Point Matching”, In Proceedings of APSIPA Annual Summit and Conference (ASC-2016), 2016. (Oral)

• J. Duan, J. T. Zhou, andYuanman Li, “Secure and Verifiable Outsourcing of Nonnegative Matrix Factorization (NMF)”, In Proceedings of ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec-16), 2016.

• Y. Y. Li, J. T. Zhou, andYuanman Li, “Ciphertext-Only Attack on an Image Homomorphic Encryption Scheme with Small Ciphertext Expansion”, In Proceedings of ACM Multimedia (ACM MM-15), 2015.

• A. Cheng,Yuanman Li, and J. T. Zhou, “SIFT Keypoint Removal via Convex Relaxation”, In Proceedings of IEEE International Conference on Multimedia and Expo (ICME-15), 2015 (Oral, AR 15%).

• Y. Y. Li, J. T. Zhou,Yuanman Li, and O. C. Au, “Reducing the Ciphertext Expansion in Image Homomorphic Encryption via Linear Interpolation Technique”, In Proceedings of IEEE Global Conference on Signal and Information Processing (GlobalSIP-15), 2015.

• Yuanman Liand J. T. Zhou, “Sparsity-driven reconstruction of L]-decoded images”, In Proceedings of IEEE International Conference on Image Processing (ICIP-14), 2014.

• L. Dong, J. Wang,Yuanman Liand Y. Y. Tang,“Sector projection fourier descriptor for Chinese character recognition”, In Proceedings of IEEE International Conference on Cybernetics (CYBCONF), 2013.

• H. W. Luo, L. N. Wang,Yuanman Li, H. L. Yuan and Y. Y. Tang, “Feature extraction based on discriminant analysis with penalty constraint for hyperspectral image classification”, In Proceedings of International Conference on Machine Learning and Cybernetics (CYBCONF), 2013.