Personal Information
Professor Supervisor of Doctorate Candidates Supervisor of Master's Candidates
Academic Titles:智能科学与技术系副主任
Other Post:量子感知与智能计算研究中心主任
Paper Publications
- Yangyang Li, Heting Mao, Ruijiao Liu, Xuan Pei, Licheng Jiao, Ronghua Shang,A Lightweight Keypoint-Based Oriented Object Detection of Remote Sensing Images. Remote:Remote Sensing,13(13):2459
- Multiobjective evolutionary algorithm assisted stacked autoencoder for PolSAR image classification:Swarm Evol. Comput,60:100794
- Efficient Convolutional Neural Architecture Search for Remote Sensing Image Scene Classification:IEEE Trans. Geosci. Remote. Sens,59(7):6092 - 6105
- Yangyang Li, Qin Huang, Xuan Pei, Yanqiao Chen, Licheng Jiao, Ronghua Shang,Cross-Layer Attention Network for Small Object Detection in Remote Sensing Imagery:IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens,14:2148-2161
- Yangyang Li, Shuangkang Fang, Licheng Jiao, Ruijiao Liu, Ronghua Shang,A Multi-Level Attention Model for Remote Sensing Image Captions:REMOTE SENSING,2020,12(6)
- Yangyang Li, Qin Huang, Xuan Pei, Licheng Jiao, Ronghua Shang,RADet: Refine Feature Pyramid Network and Multi-Layer Attention Network for Arbitrary-Oriented Object Detection of Remote Sensing Images:REMOTE SENSING,2020,12(3)
- Yangyang Li, Shuangkang Fang, Xiaoyu Bai, Licheng Jiao, Naresh Marturi,Parallel design of sparse deep belief network with multi-objective optimization:INFORMATION SCIENCES,533:24-42
- Yangyang Li, Mengzhuo Tian, Guangyuan Liu, Cheng Peng, Licheng Jiao,Quantum Optimization and Quantum Learning: A Survey.SCI WOS:000525397700043:IEEE ACCESS,8:23568-23593
- Yangyang Li, Guangyuan Liu, Tiantian Li, Licheng Jiao, Gao Lu, Naresh Marturi,Application of Data Driven Optimization for Change Detection in Synthetic Aperture Radar Images:IEEE ACCESS,8:11426-11436
- Yangyang Li, Xuan Pei, Qin Huang, Licheng Jiao, Ronghua Shang, Naresh Marturi,Anchor-Free Single Stage Detector in Remote Sensing Images Based on Multiscale Dense Path Aggregation Feature Pyramid Network:IEEE ACCESS,8:63121-63133
- Yangyang Li, Ruoting Xing, Licheng Jiao, N Marturi.,Semi-Supervised PolSAR Image Classification Based on Self-Training and Superpixels:REMOTE SENSING,2019,11(16)
- Yangyang Li, Junjie Xiao, Yanqiao Chen, Licheng Jiao,Evolving deep convolutional neural networks by quantum behaved particle swarm optimization with binary encoding for image classification:NEUROCOMPUTING,2019,362:156-165
- Densely Based Multi-Scale and Multi-Modal Fully Convolutional Networks for High-Resolution Remote-Sensing Image Semantic Segmentation:IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2019,12(8):2612-2626
- Yangyang Li, Cheng Peng, Yanqiao Chen, Licheng Jiao, Linhao Zhou, Ronghua Shang,A Deep Learning Method for Change Detection in Synthetic Aperture Radar Images:IEEE Transactions on Geoscience and Remote Sensing,2019,57(8):5751 - 5763
- Adversarial Reconstruction-Classification Networks for PolSAR Image Classification:REMOTE SENSING,2019,11(4)
- Yangyang Li, Cheng Peng, Yang Wang, Licheng Jiao,Optimization based on nonlinear transformation in decision space:SOFT COMPUTING,2019,23(11):3571-3590
- Yangyang Li, Yanqiao Chen, Guangyuan Liu, Licheng Jiao,A novel deep fully convolutional network for PolSAR image classification:REMOTE SENSING,2018,10(12):1984
- Yangyang Li, Qi Wang, Kun Ran, Licheng Jiao,Weighted Single-Pass Fuzzy c-Means Algorithm Based on Density Peaks:PROCEEDINGS OF TENCON 2018 - 2018 IEEE REGION 10 CONFERENCE,2018:2214-2217
- Yanqiao Chen, Licheng Jiao, Yangyang Li, Lingling Li, Dan Zhang, Bo Ren, Naresh Marturi.A Novel Semicoupled Projective Dictionary Pair Learning Method for PolSAR Image Classification:IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2018,57(4):2407-2418
- Yangyang Li, Guangyuan Liu, Peidao Li, Licheng Jiao,A Large-Scale Data Clustering Algorithm Based on BIRCH and Artificial Immune Network:INTERNATIONAL CONFERENCE ON SWARM INTELLIGENCE,2018,10941:327-337
- Ronghua Shang, Jiaming Wang, Licheng Jiao, Rustam Stolkin, Biao Hou, Yangyang Li,SAR targets classification based on deep memory convolution neural networks and transfer parameters:IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2018,11(8):2834-2846
- Yangyang Li, Xiaoyu Bai, Xiaoxu Liang, Licheng Jiao,Sparse Restricted Boltzmann Machine Based on Multiobjective Optimization:ASIA-PACIFIC CONFERENCE ON SIMULATED EVOLUTION AND LEARNING,2017,10593:899-910
- Yang Wang, Yangyang Li, Zhenghan Chen, Yu Xue,Cooperative particle swarm optimization using MapReduce:SOFT COMPUTING,2017,21(22):6593-6603
- Yangyang Li, Dong Wang, Haiyang He, Licheng Jiao, Yu Xue,Mining intrinsic information by matrix factorization-based approaches for collaborative filtering in recommender systems:NEUROCOMPUTING,2017,249:48-63
- Yangyang Li, Xiaoyu Bai, Licheng Jiao, Yu Xue,Partitioned-cooperative quantum-behaved particle swarm optimization based on multilevel thresholding applied to medical image segmentation:Applied Soft Computing,2017,56:345-356
- Yangyang Li, Xiaoju Hou, Licheng Jiao, Yu Xue,An Improved Artificial Immune Network Based on the Secondary Immune Mechanism for Data Clustering:CLOUD COMPUTING AND SECURITY, PT I,2017,10602:519-530
- Yangyang Li, Xiaoyu Bai, Xiaoju Hou, Licheng Jiao,Large-scale data clustering algorithm based on quantum immune regulation network:2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI),2018:1-8
- Li, Yangyang;Liang, Xiaoxu;Lu, Yujing,Soft Subspace Clustering Using QPSOSC Algorithm:2017 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI),2018:974-981
- Yangyang Li, Zhenghan Chen, Yang Wang, Licheng Jiao, Yu Xue,A Novel Distributed Quantum-Behaved Particle Swarm Optimization:Journal of Optimization,2017,2017
- Li, Yangyang; He, Haiyang; Wang, Yang; Xu, Xia; Jiao, Licheng,An improved multiobjective estimation of distribution algorithm for environmental economic dispatch of hydrothermal power systems:APPLIED SOFT COMPUTING,2015,28:559-568