学术讲座（彭小令）——Construction of Symmetric Orthogonal Designs with Deep Q-Network and Orthogonal Complementary Design

报告题目：Construction of Symmetric Orthogonal Designs with Deep Q-Network and Orthogonal Complementary Design

报告人：彭小令 副教授

时间：2021年12月3日（周二）上午10:00

地点：腾讯会议会议号：292 868 730

主办单位：77779193永利官网、人工智能与深度学习研究所

报告提纲:

Abstract : Construction of orthogonal designs (ODs) has received much attention over the past decades, where previous work were originated from either mathematical theory or algorithmic search. A new algorithm is proposed to construct symmetric ODs. It is established on a well-designed framework of sequential construction, combining the deep Q-network (DQN) and orthogonal complementary design (OCD). The DQN-OCD algorithm shows its superiority by constructing various non-isomorphic ODs in an efficient manner. In particular, the constructions of symmetric ODs, including the saturated ODs L₂₇(3¹³), L₂₈(2²⁷) and non-saturated ODs L₁₈(3⁷), L₃₆(3¹³) are presented, where the performance of DQN-OCD algorithm surpasses the others. Furthermore, a series of previously unknown ODs in non-isomorphic subclasses of L₂₈(2²⁷) and L₃₆(3¹³) are constructed as new collections of ODs.

报告人简介：

彭小令 博士  北京师范大学-香港浸会大学联合国际学院  副教授
招生专业：概率论与数理统计
研究领域：近期研究兴趣集中在不同类型的大数据分析及其应用，特别是变量选择方法在基因组学研究方面的应用。2014-2015年在UCLA访问期间开始合作研究适用于超高维数据的变量选择方法及其快速算法，并将其应用于挑选和疾病相关的基因或基因组群。
工作经历
Visiting Scholar, Biostatistics Department, University of California, Los Angeles (UCLA) (Jan. 2014-Jan. 2015)
Senior Research Fellow, State Key Lab of Marine Pollution at CityU, Hong Kong (Jul. 2012-Sep. 2012)
Assistant Professor, Shanghai Jiaotong University (Aug. 2006 - Mar. 2007)
Visiting scholar, Croucher Institute for Environmental Sciences, HKBU, Hong Kong (Jun. 2005- Jun. 2006)
科研项目
Key investigator of University Innovation and Enhancement Project (2015广东省“质量工程” 高等学校精品教材), funded by Department of Education of Guangdong Province, 2015.
China Scholarship Council (CSC) funding for oversea visiting scholar, 2014.
Key investigator of NSFC Research Grant “Image recovery under non-Gaussian noise” 2013-2016.
Key investigator of the Agriculture, fisheries and Conservation Department of Hong Kong (AFCD) project “Technical Review and Statistical analysis of the Datasets of Waterbird Monitoring Programme for the Deep Bay Area and Baseline Ecological Monitoring Programme for the Mai Po Inner Deep Bay Ramsar Site”, 2012.
Principal investigator of NSFC Research Grant “Modern statistics in distinguishing TCM fingerprints” 2008.
Team member of NSFC Research Grant “The study of new chemometrical methods of data mining in analytical chemistry” 2003-2005.
论文选摘
[1] Peng X.L., Li G. and Liu Z.Q., (2015) Zero-Inflated Beta Regression for Differential
Abundance Analysis with Metagenomics Data. Journal of computational biology,23(2), 1-9.
[2] HM Leung, ZW Wang, ZH Ye, KL Yung, XL Peng, KC Cheung. (2013) Interactions Between Arbuscular Mycorrhizae and Plants in Phytoremediation of Metal-Contaminated Soils: A Review. Pedosphere 23, 549-563.
[3] Wu B., Peng X.L. (2012) Mapping Quality of Life with Chernoff Faces in China. Journal of Shanxi Economic Management Institute (in Chinese). 20 (1) 35-39.
教育背景:
1. 2002 - 2005：香港浸会大学数学系 博士（联合培养）
2. 2000 - 2005：四川大学数学学院 硕博连读
3. 1996 - 2000：四川大学数学学院 本科