研究团队

翁洋，男、博士、四川大学数学学院副教授,中国数学会会员、中国工业与应用数学学会会员、中国计算机学会会员。主要研究方向为统计机器学习，数据挖掘以及分布式估计理论等。2001 年7月获得四川大学数学学院基础数学专业学士学位，2006年7月获得四川大学概率统计博士学位。2008年8月－2010年7月，新加坡南洋理工大学电子与电气工程学院博士后。在相关研究领域发表SCI，EI收录的学术论文50多篇。主持和参与多项国家重点研发计划，国家自然科学基金青年项目、面上项目以及重点项目。主持四川省精品资源共享课程和四川省在线精品课程2项。获四川大学第四届“五粮春优秀青年教师教学奖”。

一、主持项目

1.国家自然科学基金青年项目，61203219，基于无线传感器网络的随机场分布式估计算法，2013/01-2015/12，26万，已结题，主持；

2.国家自然科学基金面上项目，61374027，基于信息几何和高维统计分析的多传感器目标检测与跟踪融合研究，2014/01-2017/12，80万，已结题，第一主研；

3.国家自然科学基金重点项目，61032001，多传感器系统误差稳健估计与数据抗差关联基础理论研究2011/01-2014/12，230万，已结题，第九主研；

4.国家重点研发计划项目“公共安全”专项“高质高效的审判支撑关键技术及装备研究”（项目编号：2018YFC0830300）之课题 “类案精准推荐技术研究与审判支撑平台原型构建”（课题编号：2018YFC0830305），主持。 

二、学术论文

1.Hong W, Xiong Z, Zheng N, Weng Y. A Medical-History-Based Potential Disease Prediction Algorithm. IEEE Access. 2019 Sep 11;7:131094-101；

2.Hong W, Xu W, Qi J, Weng Y. Neural Tensor Network for Multi-Label Classification. IEEE Access. 2019 Jul 22;7:96936-41；

3.Random Coordinate Descent Algorithms for l1 Regularized Logistic Regression, Y. Weng*, S. Luo, W. Hong, submitted to IEEE Access, 2019；

4.Intelligent Web Robot for Content Extracting，W. Hong, W. Wang, X. Zheng, J. Qi, Y. Weng, Journal of Instrumentation, accepted for publication 2019；

5.Y. Weng, Jianwei Qi, Weiwei Wang, Xiaoqing Zheng and Wenxing Hong journal of computer science and technology, 2019；

6.Hu P, Y. Weng*, Distributed Accelerated Stochastic Variational Inference Over Sensor Networks, submitted to IEEE Access, 2019；

7.Y. Weng, Lei Wu, Wenxing Hong, Bayesian Inference via Variational Approximation for Collaborative Filtering. Neural Processing Letters, 2018, 49: 1041-1054；

8.Yutong Dai, Y. Weng*, Synchronous Parallel Block Coordinate Descent Method for Nonsmooth Convex Function Minimization, Journal of Systems Science and Complexity, accepted for publication, 2018；

9.Hong, W., Wang, W., Weng, Y. *, Luo, S., Hu, P., Zheng, X., & Qi, J. . Stock Price Movements Prediction with Textual Information. Mechatronic Systems and Control, 2018, 46(3), 141-149；

10.Hong Wenxing, Qi Jianwei, Wang Weiwei, Zheng Xiaoqing, Weng Yang*, Domain Adaptation with Feature Representations Reconstructing for Sentiment Analysis, Journal of Tianjin University (Science and Technology), accepted for publication, 2018；

11.Y. Weng*, Data reduction with quantization constraints for decentralized estimation in wireless sensor networks. Mathematical Problems in Engineering. 2014, 14(1): 1-8；

12.Y. Zhao, Y. Weng*, N. Peng, T. Tang, Z. Liu, Mechanical Properties Prediction of Hot Rolled Strip By Using Semi-Parametric Single-Index Model, Journal of Iron and Steel Research, International, 2013, 20(7):9-15；

13.Y. Weng*, L. Xie, W. Xiao, Sensor selection for random field estimation in Wireless Sensor Networks, Journal of Systems Science and Complexity, 2012, 25(1): 46-59；

14.Y. Weng, W. Xiao*, L. Xie, Diffusion-based EM Algorithm for Distributed Estimation of Gaussian Mixtures in Wireless Sensor Networks, Sensors, 2011, 11(6): 6297-6316；

15.Y. Weng, W. Xiao*, L. Xie, Total Least Squares Method for Robust Source Localization in Sensor Networks Using TDOA Measurements, International Journal of Distributed Sensor Networks, 2011, 7(1): 1-8；

16.Y. Weng,W. Xiao and L. Xie, Sensor selection for parameterized random field estimation in wireless sensor networks. Journal of Control Theory and Applications, 2011, 9(1): 44-50；

17.Xin Tian, Yin Fang, Y. Weng, Yawen Luo and Zhu Wang, K-means Clustering for Controversial Issues Merging in Chinese Legal Texts, Jurix 2018；

18.Luo D, Y. Weng, Hong W X. Forward backward splitting for regularized stochastic optimization problems, 2017 Chinese Automation Congress (CAC). IEEE, 2017: 7401-7406；

19.Luo S S, Y. Weng, Wang W W, et al. L1-regularized logistic regression for event-driven stock market prediction, 2017 12th International Conference on Computer Science and Education (ICCSE). IEEE, 2017: 536-541；

20.J. Guan, Y. Weng, The Test of Feedback Mechanism between Public Attention and Stock Market Performance in China. InCloud Computing and Big Data (CCBD), 2015 International Conference on 2015 Nov 4 (pp. 217-220). IEEE；

21.Y. Weng, Trade-off between dimensionality reduction and quantization in minimum mean square error estimation. In Control Conference (CCC), 2013 32nd Chinese, pp. 4803-4806. IEEE, 2013；

22.Y. Weng, W. Xiao, Dual-Decomposition Approach for Distributed Optimization in Wireless Sensor Networks, Lecture Notes on Computer Science, vol. 6843, 344-353, 2011；

23.Y. Weng, Source Localization Using TDOA Measurements with Sensor Location Uncertainty, Proc. of Chinese Control Conference, Yantai, China, July, 5068-5072, 2011；

24.Y. Weng, L. Xie and W. Xiao, Sensor Deployment Strategy for Random Field Estimation: One-Dimensional Case, Proc. of IEEE International Conference on Control, Automation, Robotics and Vision, Singapore, December, 104-108, 2010；

25.Y. Weng, Y. Zhao, and B. Zhao, Target Tracking Using Quantized Innovations in Wireless Sensor Networks, Proc. of IEEE International Conference on Computer Science and Education, Heifei, China, August, 69-74, 2010；

26.Y. Weng, L. Xie and W. Xiao, Random Field Estimation with Quantized Measurements in Sensor Networks, Proc. of Chinese Control Conference, Beijing, China, July, 6203-6208, 2010；

27.Y. Weng, L. Xie, C.H. Tan, and G.W. Ng, Target Tracking in Wireless Sensor Networks Using Particle Filter with Quantized Innovations, Proc. IEEE Conference on Information Fusion, Edinburgh, UK, July, 1-6, 2010；

28.Y. Weng, L. Xie and W. Xiao, Diffusion scheme of distributed EM algorithm for Gaussian mixtures over random networks, Proc. of IEEE International Conference on Control and Automation, 1529-1534, 2009；

29.Y. Weng, W. Hong, Local optimal sensor deployment for random field reconstruction , Proc. of International Conference on Computer Science & Education, 419-424, 2009。