正规赌足球的软件(中国)集团有限公司

个人简介

发表SCI/EI检索论文25篇，包括IEEE T. KDE、IEEE T. CYB、IEEE T. SYSTEM、IEEE T. BD、WWW、ECAI等计算机领域的顶级期刊和会议。主持和参研项目12项，其中国家级项目6项。申请国家发明专利11项，授权5项。获吴文俊人工智能科技进步一等奖、重庆市科技进步一等奖。目前担任IEEE T. NNLS、IEEE T. SYSTEM、Neurocomputing、IEEE/CAA JAS等多个SCI期刊的审稿人。

教学情况：

科研情况

代表性论文：

1.Ye Yuan（袁野）, Xin Luo*, Mingsheng Shang, and Zidong Wang. A Kalman-Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data, IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB.2022.3185117. IF=19.118，中科院JCR分区一区

2. Ye Yuan#（袁野）, Qiang He#, Xin Luo#,*, and Mingsheng Shang*. A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices, IEEE Transactions on Big Data, 2022, 8(3): 784-794. IF=4.271，中科院JCR分区二区

3. Ye Yuan（袁野）, Xin Luo*, and Mingsheng Shang. Effects of Preprocessing and Training Biases in Latent Factor Models for Recommender Systems. Neurocomputing, 2018, 275: 2019-2030. IF=5.779，中科院JCR分区二区

4. Ye Yuan（袁野）, Xin Luo*, Mingsheng Shang, and Di Wu. A Generalized and Fast-converging Non-negative Latent Factor Model for Predicting User Preferences in Recommender Systems. World Wide Web, 2020, 498-507. CCF-A会

5. Ye Yuan（袁野）, Mingsheng Shang, and Xin Luo*. Temporal Web Service QoS Prediction via Kalman Filter-Incorporated Dynamic Latent Factor Analysis. European Conference on Artificial Intelligence, 2020, 561-568. CCF-B会

6. Xin Luo#, Ye Yuan#（袁野）, MengChu Zhou*, Zhigang Liu, and Mingsheng Shang*. Non-negative Latent Factor Model based on β-divergence for Recommender Systems. IEEE Transactions on System Man Cybernetics: Systems, 2021, 51(8): 4612-4623. IF=11.471，中科院JCR分区一区

7. Mingsheng Shang, Ye Yuan（袁野）, Xin Luo*, and Mengchu Zhou. An α-β-divergence-generalized Recommender for Highly-accurate Predictions of Missing User Preferences, IEEE Transactions on Cybernetics, 2022, 52(8): 8006-8018. IF=19.118，中科院JCR分区一区

8. Xin Luo, Ye Yuan（袁野）, Sili Chen, Nianyin Zeng, and Zidong Wang. Position-Transitional Particle Swarm Optimization-Incorporated Latent Factor Analysis, IEEE Transactions on Knowledge and Data Engineering, 2022, 34(8): 3958-3970. IF=9.235，中科院JCR分区二区

9. Jiufang Chen#, Ye Yuan#（袁野）, Tao Ruan#, Jia Chen, and Xin Luo*. Hyper-Parameter-Evolutionary Latent Factor Analysis for High-Dimensional and Sparse Data from Recommender Systems. Neurocomputing, 2020, 421: 316-328. IF=5.779，中科院JCR分区二区

10. Jinli Li and Ye Yuan*（袁野）. A Nonlinear Proportional Integral Derivative-Incorporated Stochastic Gradient Descent-based Latent Factor Model. IEEE International Conference On Systems, Man, and Cybernetics, DOI:10.1109/SMC42975.2020.9283344, 2020. CCF-C类会议

11. Ye Yuan（袁野） and Xin Luo. Performance of Nonnegative Latent Factor Models with β-distance Functions in Recommender Systems. IEEE International Conference on Networking, Sensing and Control, DOI: 10.1109/ICNSC.2018.8361358, 2018.

12. Ye Yuan（袁野）, Xin Luo, Mingsheng Shang, and Xinyi Cai. Effect of Linear Biases in Latent Factor Models on High-dimensional and Sparse Matrices from Recommender Systems. IEEE International Conference on Networking, Sensing and Control, DOI: 10.1109/ICNSC.2017.8000141, 2017.

授权专利：

1.袁野，罗辛，尚明生，吴迪，一种视频数据多维非负隐特征的提取装置和方法，201710930280.X，授权

2. 袁野，李超华，罗辛，尚明生，吴迪，一种视频数据线性偏差主特征提取装置和方法，201710895442.0，授权

3. 许明、罗辛、张能锋、袁野、吴迪、夏云霓，一种基于非负交替方向变换的用户特征抽取方法及抽取装置，201510087359.1，授权

4. 苟光磊、王国胤、利节、傅剑宇、吴迪、袁野，置信优势关系粗糙集模型及属性约简方法，201310739290.7，授权

主持科研项目：

1. 国家自然科学基金青年项目，基于用户动态兴趣的参数自适应推荐模型研究，2021.01-2023.12，24万

2. 中央JKW创新项目，嵌入式XXXX检测技术，2020.12-2021.12，80万

3. 重庆市自然科学基金面上项目，基于用户动态兴趣的长效推荐模型研究，2022.08—2025.07，10万
   

获奖情况

1. 2018年，中国人工智能学会吴文俊人工智能科技进步一等奖：智慧金融中的集成生物识别关键技术及应用，11/15

2. 2020年，重庆市科技进步一等奖：猪八戒网众创平台智能服务关键技术及应用，11/15