谷歌学术主页：https://scholar.google.com/citations?user=LmGCX80AAAAJ&hl=zh-CN

代表专著：

1. 李阳阳，焦李成，张丹，李玲玲，刘天宇. 量子计算智能，西安电子科技大学出版社， 2019年，9月.

2. 焦李成，李阳阳，刘芳，马文萍，尚荣华. 量子计算、优化与学习，科学出版社， 2017年，3月.

3. 焦李成，李阳阳，侯彪，石光明，张丹，田小林，李欣越，缑水平，王爽，张向荣，杨韦洁. 人工智能学院本硕博培养体系，清华大学出版社，2019年，9月.

4. 焦李成，尚荣华，马文萍， 公茂果，李阳阳，刘芳. 《多目标优化免疫算法、理论和应用》. 北京: 科学出版社，2009，12月.

5. Fang Liu, Yutao Qi, Jingjing Ma, Maoguo Gong, Ronghua Shang, Yangyang Li and Licheng Jiao. A High Performance Immune Clonal Algorithm for Solving Large Scale TSP, Chapter 8 of the book 《Traveling Salesman Problem, Theory and Applications》. Book edited by: Donald Davendra, ISBN: 978-953-307-426-9, Publisher: InTech, Publishing date: December 2010.（专著章节）

代表论文： 

1. Yangyang Li, Ruijiao Liu*, Xiaobin Hao, Ronghua Shang, Peixiang Zhao, Licheng Jiao. EQNAS: Evolutionary Quantum Neural Architecture Search for Image Classification. Neural Networks, 2023, 168: 471-483.
2. Cheng Peng, Yangyang Li*, Ronghua Shang, Licheng Jiao. RSBNet: One-shot Neural Architecture Search for a Backbone Network in Remote Sensing Image Recognition, Neurocomputing, 2023, 537: 110-127.
3. Cheng Peng, Yangyang Li*, Ronghua Shang, Licheng Jiao. ReCNAS: Resource-Constrained Neural Architecture Search Based on Differentiable Annealing and Dynamic Pruning, IEEE Transactions on Neural Networks and Learning Systems, 2022, DOI: 10.1109/TNNLS.2022.3192169.
4. Guangyuan Liu, Yangyang Li*, Yanqiao Chen, Ronghua Shang, Licheng Jiao. Pol-NAS: A Neural Architecture Search Method With Feature Selection for PolSAR Image Classification, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 15: 9339-9354.
5. Guangyuan Liu, Yangyang Li*, Licheng Jiao, Yanqiao Chen, Ronghua Shang. Multiobjective Evolutionary Algorithm Assisted Stacked Autoencoder for PolSAR Image Classification, Swarm and Evolutionary Computation, 2021, 60:100794.
6. Cheng Peng, Yangyang Li*, Licheng Jiao, Ronghua Shang. Efficient Convolutional Neural Architecture Search for Remote Sensing Image Scene Classification, IEEE Transactions on Geoscience and Remote Sensing. 2021, 59(7): 6092-6105.
7. 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.
8. Yangyang Li*, Shuangkang Fang, Xiaoyu Bai, Licheng Jiao, Naresh Marturi, Parallel Design of Sparse Deep Belief Network with Multi-objective Optimization, Information Sciences, 2020, 533: 24-42.
9. Yangyang Li, Guangyuan Liu*, Gao Lu, Licheng Jiao, Naresh Marturi, Ronghua Shang, Hyper-Parameter Optimization Using MARS Surrogate for Machine-Learning Algorithms, IEEE Transactions on Emerging Topics in Computational Intelligence, 2020, 4(3): 287-297.
10. 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.
11. 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.
12. 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.
13. 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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 2148-2161.
14. Cheng Peng, Yangyang Li*, Licheng Jiao, Yanqiao Chen, Ronghua Shang, 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.
15. Yangyang Li, Heting Mao, Ruijiao Liu*, Xuan Pei, Licheng Jiao, Ronghua Shang, A Lightweight Keypoint-Based Oriented Object Detection of Remote Sensing Images, Remote Sensing, 2021,13(13): 2459.
16. 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): 939.
17. 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): 389.
18. Yangyang Li*, Ruoting Xing, Licheng Jiao, Yanqiao Chen, Yingte Chai, Naresh Marturi, Ronghua Shang, Semi-Supervised PolSAR Image Classification Based on Self-Training and Superpixels, Remote Sensing, 2019, 11(16): 1933.
19. Yangyang Li, Yanqiao Chen*, Guangyuan Liu, Licheng Jiao, A Novel Deep Fully Convolutional Network for PolSAR Image Classification, Remote Sensing, 2018, 10(12): 1984.
20. Yanqiao Chen, Yangyang Li*, Licheng Jiao, Cheng Peng, Xiangrong Zhang, Ronghua Shang, Adversarial Reconstruction-Classification Networks for PolSAR Image Classification, Remote Sensing, 2019, 11(4): 415.