1. Paper
[1] Liu Yan, Hu Wenxin, Longzhe Han, Maksymyuk Taras, Zhiyun Chen, A Fast Filling Algorithm for Image Restoration Based on Contour Parity, Computers Materials & Continua,2020. [SCI]
[2] Longzhe Han, Taras Maksymyuk, Xuecai Bao, Jia Zhao, Yan Liu*, Deep Learning based Loss Recovery Mechanism for Video Streaming over Mobile Information-Centric Network,KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS,2019.3. [SCI]
[3] Gu Minghao , Sun Shiliang, Liu Yan, Dynamical Sampling with Langevin Normalization Flows. Entropy 21.11(2019):1096, 2019. [SCI]
[4] Liu Yan, Hu wenxin, Han longzhe, Optimize SPL Test Cases with Adaptive Simulated Annealing Genetic Algorithm, 2019 ACM TURC, 2019-05. [EI]
[5] Liu Yan, Hu wenxin, Han longzhe, Parallel Architecture Design of Genetic Algorithms on HPC Platform, ACM TURC 2019, 2019.05. [EI]
[6] Fei Jingjing , Zhao Jing , Sun Shiliang, Liu yan . (2018). Active Learning Methods with Deep Gaussian Processes: 25th International Conference, ICONIP 2018, Siem Reap, Cambodia, December 13–16, 2018, Proceedings, Part III. [CCF-C]
[7] Liu Yao, Liu Yan, Yao Qing, Sun Jun, Wang Su, Zheng Kai, A Scalable Heterogeneous Parallel SOM Based on MPI/CUDA,The 10th Asian Conference on Machine Learning, 2018. [CCF-C]
[8] Delin Xi, Liu yan*, A New Algorithm for Border Noise Removal,Computer Science and Applications - Proceedings of the Asia-Pacific Conference on Computer Science and Applications,2015,pp.543-546. [EI]
[9] Liu Yan, Guoqing Gu, Efficient algorithm for obtaining connected components in bi-level images, The Institute of Electronics, Information and Communication Engineers (IEICE) Electronics Express, 2014, Vol 11, No3, pp.20130748. [SCI]
[10]Liu Yan, Youguang Chen, Fast Chain Coding of Connected-Component Boundaries,Applied Mechanics and Materials,February, 2014,pp.1402-1405.[EI]
[11]Liu Yan, A New Boundary Treatment Algorithm in Eight-Connected Binary Images,Recent Advances in Computer Science and Information Engineering Lecture Notes in Electrical Engineering, Vol.128, 2012, pp. 257-262. [EI]
[12]Rongqing Huang, Shiliang Sun, and Yan Liu, Sparse Kernel Regression for Traffic Flow Forecasting, Advances in Neural Networks – ISNN 2011 Lecture Notes in Computer Science, Vol.6676, 2011, pp. 76-84. [EI]
[13]Liu Yan,Zhu min,A New Contour Tracing automaton in Binary Image,2011 IEEE International Conference on Computer Science and Automation Engineering, vol.2, June 2011, pp. 577-581. [EI]
[14]Sun Ding,Liu Yan*,A New Contour Tracing Algorithm in Eight-Connected Binary Images, Proceedings of the 2010 Third International Joint Conference on Computational Science and Optimization, vol.1, May 2010, pp. 249-253. [EI]
[15]Liu Yan, Zheng Jun,Ge Wei-hua,radient Characteristics Obtaining from Aeromagnetic Images,《Computer Engineering》,2009, 35(16),pp. 206-208. [CSA,CSCD]
[16]Liu Yan,Gao Wei-nan,Wang Zhi-qing,Ju Zhi-yong,Improved boundary tracing automaton in 8-neighborhood digital images,《Journal of East China Normal University(Natural Science)》, no.1, Jan 2009, pp. 117-123. [CSCD]
2. Book
[1]《Python 机器学习:原理、算法与案例实战》, 刘艳, 韩龙哲，李沫沫，清华大学出版社,2021（全国高等教育研究会十四五规划教材）。
[2]《人工智能基础与实践》, 刘艳, 王志萍,苏斌,人民邮电出版社，2025年1月。
[3]《人工智能训练师》,刘艳, 胡文心 ,王肃,郑凯, 俞琨,中国劳动社会保障出版社, 2022（国家人工智能职业等级认定教材）。
[4]《Understanding Principles, Algorithms, and Practical Cases with Python》,Liu Yan, Han Longzhe,Li Momo ,台湾 Deepmind Digital Co., Ltd., 2023.
[5]《算法与人工智能》,王肃 ,刘艳 ,刘垚，上海科技教育出版社,2023.
[6]《Python 数据分析与可视化》,王肃, 刘艳, 清华大学出版社, 2022（全国高等教育研究会十四五规划教材）。
[7]《机器学习方向本硕博培养体系》,孙仕亮, 刘艳 ,赵静,北京航空航天大学出版社.2021.
[8]《人工智能基础与应用》，机械工业出版社（上海市信息技术等级考试(原：上海市计算机等级考试)参考教材）。
