代表专著：

序号    作者    书名    出版社    出版年份

1    焦李成    神经网络系统理论    西安电子科技大学出版社    1990
2    焦李成    非线性传递函数理论与应用    西安电子科技大学出版社    1992
3    焦李成    神经网络计算    西安电子科技大学出版社    1993
4    焦李成    神经网络的应用与实现    西安电子科技大学出版社    1996
5    焦李成    免疫优化计算、学习与识别    科学出版社    2006
6    焦李成、刘芳、缑水平    智能数据挖掘与知识发现    西安电子科技大学出版社    2006
7    Jiao Licheng, Jing Liu and Weicai Zhong    Coevolutionary Computation and Multiagent Systems    WIT Press, UK/科学出版社    2012
8    焦李成、冯婕、刘芳、杨淑媛、张向荣    高分辨遥感影像学习与感知    科学出版社    2017
9    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
10    焦李成、赵进、杨淑媛、刘芳    深度学习、优化与识别    清华大学出版社    2017
11    焦李成、侯彪、尚荣华、杨淑媛、王爽、万红林、辛芳芳、刘赶超    智能SAR影像变化检测    科学出版社    2017
12    焦李成、侯彪、王爽、刘芳、杨淑媛、白静、钟桦    雷达图像解译技术    国防工业出版社    2017
13    焦李成、尚荣华、刘芳、杨淑媛、侯彪、王爽、马文萍    认知计算与多目标优化    科学出版社    2017
14    焦李成、尚荣华、刘芳、杨淑媛、侯彪、王爽、马文萍    稀疏学习、分类与识别    科学出版社    2017
15    焦李成、刘芳、李玲玲、杨淑媛、侯彪、杨争艳、杨慧、孟繁荣    遥感影像深度学习智能解译与识别    西安电子科技大学出版社    2019
16    焦李成、刘若辰、慕彩红、刘芳    简明人工智能    西安电子科技大学出版社    2019
17    焦李成，侯彪，唐旭，刘芳，杨淑媛，陈莉，马文萍等    人工智能、类脑计算与图像解译前沿    西安电子科技大学出版社    2019
18    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
19    Jiao, Licheng, Ronghua Shang, Fang Liu, and Weitong Zhang. Brain and Nature-Inspired Learning, Computation and Recognition. Elsevier, 2020.
20   焦李成、孙其功、邬刚、田小林、陈永、侯彪、杨淑媛  深度神经网络FPGA设计与实现     西安电子科技大学出版社    2021.
21   焦李成，侯彪，刘芳，杨淑媛，王爽，朱浩，马文萍，张向荣，遥感脑理论及应用，清华大学出版社，2023.05.
22   焦李成，刘旭，赵嘉旋，杨育婷，邵奕霖，何文鑫，黄钟键，徐巍，ChatGPT简明教程，西安电子科技大学出版社，2023.07.
23   焦李成，杨淑媛，刘芳，刘旭，田晨曦，侯彪，马文萍，尚荣华，深度学习的理论基础与核心算法，清华大学出版社，2023.12.
24   焦李成，刘梦琨，杨淑媛，刘芳，李玲玲，陈璞花，赵进，刘旭，马文萍，深度学习简明教程，西安电子科技大学，2023.12.
25   焦李成，李阳阳，侯彪，石光明，董伟生，智能科学与技术一级学科本硕博培养体系，西安电子科技大学出版社，2024.04.

代表论文：

Google Scholar地址：

https://scholar.google.com/citations?user=FZbrL2YAAAAJ&hl=en

• Tian C, Jiao L, Liu F, et al. Robust and Effective: A Deep Matrix Factorization Framework for Classification[J]. IEEE Transactions on Neural Networks and Learning Systems, 2023.
• Gao J, Jiao L, Liu X, et al. Multiscale Dynamic Curvelet Scattering Network[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022.
• Jiao L, Yang Y, Liu F, et al. The New Generation Brain-inspired Sparse Learning: A Comprehensive Survey[J]. IEEE Transactions on Artificial Intelligence, 2022.
• Zhang R, Jiao L, Li L, et al. Evolutionary Dual-Stream Transformer[J]. IEEE Transactions on Cybernetics, 2022.
• Li Y, Licheng J, Huang Z, et al. Deep Learning-Based Object Tracking in Satellite Videos: A Comprehensive Survey With a New Dataset[J]. IEEE Geoscience and Remote Sensing Magazine, 2022.
• Yang Y, Jiao L, Liu X, et al. Dual Wavelet Attention Networks for Image Classification[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2022.
• Jiao L, Chen J, Liu F, et al. Graph Representation Learning Meets Computer Vision: A Survey[J]. IEEE Transactions on Artificial Intelligence, 2022.
• Liu X, Jiao L, Li L, et al. Deep Multiview Union Learning Network for Multisource Image Classification[J]. IEEE Transactions on Cybernetics, 2022,52(6),4534-4546.
• Zhang W, Jiao L, Liu F, et al. Adaptive Contourlet Fusion Clustering for SAR Image Change Detection[J]. IEEE Transactions on Image Processing, 2022.
• 焦李成, 孙其功, 杨育婷, 等. 深度神经网络 FPGA 设计进展, 实现与展望[J]. 计算机学报, 2022, 45(3).
• Jiao L, Wang D, Bai Y, et al. Deep Learning in Visual Tracking: A Review[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021.
• Jiao L, Gao J, Liu X, et al. Multi-Scale Representation Learning for Image Classification: A Survey[J]. IEEE Transactions on Artificial Intelligence, 2021.
• Zhang J, Jiao L, Ma W, et al. RDLNet: A Regularized Descriptor Learning Network[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021.
• Jiao L, Zhang R, Liu F, et al. New Generation Deep Learning for Video Object Detection: A Survey[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021.
• Qiao Y, Jiao L, Li W, et al. Fast, High-Quality Hierarchical Depth-Map Super-Resolution[C]//Proceedings of the 29th ACM International Conference on Multimedia. 2021: 4444-4453.
• Gao J, Jiao L, Liu F, et al. Multiscale Curvelet Scattering Network[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021.
• Wang H, Jiao L, Liu F, et al. IPGN: Interactiveness Proposal Graph Network for Human-Object Interaction Detection[J]. IEEE Transactions on Image Processing, 2021, 30: 6583-6593.
• Wang H, Jiao L, Yang S, et al. Simple and Effective: Spatial Rescaling for Person Reidentification[J]. IEEE Transactions on Neural Networks and Learning Systems, 2020.
• Liu M, Jiao L, Liu X, et al. C-CNN: Contourlet Convolutional Neural Networks[J]. IEEE Transactions on Neural Networks and Learning Systems, 2020.
• Zhang W, Jiao L, Liu F, et al. MBLT: Learning Motion and Background for Vehicle Tracking in Satellite Videos[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021.
• Wang H, Jiao L, Liu F, et al. Learning Social Spatio-Temporal Relation Graph in the Wild and a Video Benchmark[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021. 
• Zhu, Hao, Licheng Jiao, Wenping Ma, Fang Liu, and Wei Zhao. “A Novel Neural Net- work for Remote Sensing Image Matching." IEEE Transactions on Neural Networks and Learning Systems (2019). 
• Liu, Fang, Licheng Jiao, and Xu Tang. “Task-Oriented GAN for PolSAR Image Clas- sification and Clustering." IEEE Transactions on Neural Networks and Learning Systems (2019). 
• Liu, Bo, Wenlian Lu, Licheng Jiao, and Tianping Chen. "Products of Generalized Stochastic Matrices With Applications to Consensus Analysis in Networks of Multiagents With Delays." IEEE Transactions on Cybernetics 50, no. (2018): 386-399. 
• Luo, Juanjuan, Licheng Jiao, Fang Liu, Shuyuan Yang, and Wenping Ma. "A Pareto- Based Sparse Subspace Learning Framework." IEEE Transactions on Cybernetics 49, no. 1(2018): 3859-3872. 
• Guo, Yuwei, Licheng Jiao, Shuang Wang, Shuo Wang, and Fang Liu. "Fuzzy sparse autoencoder framework for single image per person face recognition." IEEE transactions on cybernetics 48, no. 8 (2017): 2402-2415. 
• Liu, Fang, Licheng Jiao, Xu Tang, Shuyuan Yang, Wenping Ma, and Biao Hou. “Local Restricted Convolutional Neural Network for Change Detection in Polarimetric SAR Im- ages." IEEE Transactions on Neural Networks and Learning Systems 99 (2018): 1-16. 
• Guo, Yuwei, Licheng Jiao, Shuang Wang, Shuo Wang, Fang Liu, and Wenqiang Hua. “Fuzzy superpixels for polarimetric SAR images classification." IEEE Transactions on Fuzzy Systems 26, no. 5 (2018): 2846-2860. 
• Gu, Jing, Licheng Jiao, Shuyuan Yang, and Fang Liu. “Fuzzy double C-means clustering based on sparse self-representation." IEEE Transactions on Fuzzy Systems 26, no. 2 (2017): 612-626. 
• Liu, Xu, Licheng Jiao, Xu Tang, Qigong Sun, and Dan Zhang. “Polarimetric Convolu- tional Network for PolSAR Image Classification." IEEE Transactions on Geoscience and Remote Sensing (2018). 
• Yang M, Jiao L, Liu F, et al. DPFL-Nets: Deep Pyramid Feature Learning Networks for Multiscale Change Detection[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021.