赖兆荣
近期热点
资料介绍
个人简历
教育背景:2000.9 — 2006.6:广东广雅中学(公办)2006.9 — 2010.6:中山大学 数学学院 数学与应用数学 理学学士2008.9 — 2009.1:国家公派至韩国东国大学数学系交流学习2010.9 — 2012.6:中山大学 数学学院 信息与计算科学 理学硕士2012.9 — 2015.6:中山大学 数学学院 概率论与数理统计 理学博士工作经历工作经历:2015.7 — 2016.6:中国工商银行广东省分行 公司金融业务部、投资银行部 行业经理2016.6 — 至今: 暨南大学 信息科学技术学院 数学系研究领域
数学规划,机器学习,数量金融,人工智能近期论文
Z. R. Lai,P. Y. Yang, L. Fang,X. Wu, “Short-term Sparse Portfolio Optimization Based on Alternating Direction Method of Multipliers”,Journal of Machine Learning Research (JMLR), 2018.已接受。(人工智能、机器学习与模式识别领域的四大国际顶级期刊之一,机器学习领域的顶级期刊,中国计算机学会A类期刊。影响因子2.281。)Z. R. Lai,P. Y. Yang,X. Wu,L. Fang, “A Kernel-based Trend Pattern Tracking System for Portfolio Optimization”,Data Mining and Knowledge Discovery, 2018.已接受。(影响因子2.481,中科院SCI二区国际核心期刊,中国计算机学会B类期刊,数据挖掘权威期刊)Z. R. Lai, D. Q. Dai, C.X. Ren, K. K. Huang, “Radial basis functions with adaptive input and composite trend representation for portfolio selection”, IEEE Transactions on Neural Networks and Learning Systems, 2018.已接受。(影响因子7.982,中科院SCI一区国际顶级期刊)Z. R. Lai,P. Y. Yang,L. Fang, X. Wu, “Reweighted Price Relative Tracking System for Automatic Portfolio Optimization”,IEEE Transactions on Systems, Man and Cybernetics: Systems, 2018.已接受。(影响因子5.131,中科院SCI三区期刊)Z. R. Lai, D. Q. Dai, C.X. Ren, K. K. Huang, “A peak price tracking based learning system for portfolio selection”, IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 7, pp. 2823–2832, Jul. 2018.(影响因子7.982,中科院SCI一区国际顶级期刊)Z. R. Lai, D. Q. Dai, C. X. Ren, and K. K. Huang. “Discriminative and compact coding for robust face recognition,” IEEE Transactions on Cybernetics, vol. 45, no. 9, pp. 1900–1912, Sept. 2015. (影响因子8.803, 中科院SCI一区国际顶级期刊)Z. R. Lai, D. Q. Dai, C. X. Ren, and K. K. Huang. “Multiscale logarithm difference edgemaps for face recognition against varying lighting conditions”, IEEE Transactions on Image Processing, vol. 24, no. 6, pp. 1735–1747, June 2015. (影响因子5.071, 中科院SCI二区国际核心期刊,中国计算机学会A类期刊)Z. R. Lai, D. Q. Dai, C. X. Ren, and K. K. Huang. “Multilayer surface albedo for face recognition with reference images in bad lighting conditions,” IEEE Transactions on Image Processing, vol. 23, no. 11, pp. 4709–4723, Nov. 2014. (影响因子5.071, 中科院SCI二区国际核心期刊,中国计算机学会A类期刊)P. Y. Yang,Z. R. Lai*,X. Wu,L. Fang, “Trend representation based log-density regularization system for portfolio optimization”,Pattern Recognition, vol. 76, pp. 14-24, 2018.(影响因子3.962,中科院SCI二区国际核心期刊,中国计算机学会B类期刊) 相关热点
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