Ph.D. Supervisor and Master's Supervisor
Name: Sinro Liu
Professional Title: Associate Professor
Name (Pinyin): liuxinru
Sex: Male
School/Department: School of Mathematics and Statistics
Education Level: PhD Graduate
Date of Employment: 2011-07-05
Degree: Doctoral degree
Alma Mater: Central South University
Status: Employed
Discipline: Statistics. Mathematics
Enrollment Disciplines: Mathematics、Statistics

Dr. Xinru Liu is an Associate Professor and Master's Supervisor at the School of Mathematics and Statistics, Central South University, where he also serves as Director of the Mathematics Experiment Center. He is a member of the Communist Party of China. He received his Ph.D. in Applied Mathematics from Central South University. Prior to his academic career, he worked as an assistant software engineer on mainframe software at Huawei Technologies Co., Ltd., and subsequently conducted postdoctoral research at the State Key Laboratory of Powder Metallurgy, Central South University.
His research interests focus on geometric computing and analysis, deep learning algorithms, and data mining algorithms and their applications. In recent years, his work has spanned meteorological forecasting and diagnostic attribution, time series forecasting, chip optimization and simulation, and transportation big data. He has led or participated in multiple national and provincial-level research projects and has directed several industry-funded (horizontal) projects. He has published over 40 papers in journals including Bulletin of the American Meteorological Society, Advances in Atmospheric Sciences, Quarterly Journal of the Royal Meteorological Society, Computer-Aided Design, and Knowledge-Based Systems.
He has established in-depth research collaborations with the Chinese Academy of Meteorological Sciences and the climate centers of Guangdong, Chongqing, Hubei, and Sichuan (Southwest Region). Several systems developed by his team have been deployed in operational use, including the ensemble forecasting system for high-impact marine climate events in the South China Sea, the intelligent forecasting system for Guangdong Province, and the extended-range air quality forecasting system. He has also developed simulation software for optimizing the flip-chip interconnect parallelism of large-format array detectors.
In teaching, he participated as a core instructor in the development of the international MOOC and National Excellent Online Open Course Scientific Computing and Mathematical Modeling (ranked 2nd) and the National Excellent Shared Resource Course Numerical Analysis (ranked 4th). He has received one First Prize of the Hunan Provincial Higher Education Teaching Achievement Award. Under his supervision, undergraduate and graduate students have won multiple international and national first prizes in mathematical modeling competitions. He has been honored with the title of Advanced Individual in the China Graduate Mathematical Modeling Competition and has repeatedly been recognized as an Outstanding Communist Party Member and Outstanding Class Advisor at Central South University.

›Ziqiong Li, Heyu Chai, Shengjun Liu, Xinru Liu, Zhangyao Song.PARCNet: Phase-Aware Residual Correction Network for Efficient Multivariate Time Series Forecasting.Knowledge-Based Systems, 2026
›Ziqiong Li, Shengjun Liu, Xinru Liu, Heyu Chai.TSCNet: A Trend–Seasonality Coupled Network for Efficient Multivariate Time Series Forecasting.IEEE Transactions on Neural Networks and Learning Systems, 2026
›Shengjun Liu, Xinru Liu, Gang Yang, Kexin Liu, Zhipeng Xiao, Kai Lei.LFFEO: A Low-Frequency Fourier Exposure Operator with Attentive Detail Refinement for Image Exposure Correction.Pacific Graphics 2026, 2026
›Yuansheng Zhou, Xinru Liu, Shengjun Liu, Shandong Peng, Jinyuan Tang.A novel method to generate the tooth surface model of face-milled generated spiral bevel gears..The International Journal of Advanced Manufacturing Technology, 2019, 102 (5-8) : 1205–1214.
›胡玲, 刘圣军, 李钦松, 刘新儒.三维模型匹配的谱图小波描述符[J].浙江大学学报(工学版), 2019, 53 (4) : 761-769.
›Qinsong Li, Shengjun Liu, Xinru Liu, Ling Hu, Dangfu Yang.Anisotropic Spectral Manifold Wavelet Descriptor[J].Computer Graphics Forum, 2020
›CSRBF-based quasi-interpolation for accurate and fast data fitting.Proceeding of CAD&Graphics, 2015: 65-72.
›A Background Subtraction Algorithm Based on Pixel State[C]. Proceedings of the 13th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its A, 2014: 251-254.
›Xinru Liu, Xuli Han.Grid Generation Method with Optimal Shape Parameters[C]. Proceeding of Consumer Electronics, Communications and Networks, 2011: 4120-4123.
›Duanfeng Liu, Xuli Han, Xinru Liu.Grid Generation Based on Stress Balance[C]. IEEE International Conference on Progress in Informatics and Computing, 2010: 689-692.
›Xinru Liu, Yeqing Ren, Xuli Han.Generalized Tensor Product Bezier Surfaces[C]. IEEE International Conference on Progress in Informatics, 2010: 772-775.
›Li Tan, Duanfeng Liu, Xuli Han, Xinru Liu.Controllable Density Grid Generation with Boundary Constrains[C]. International Conference on Computer Application and System Modeling, 2010: 501-505.
›包崇兵, 刘新儒, 韩旭里.带形状控制参数的网格生成方法[C].中国计算机图形学进展2008--第七届中国计算机图形学大会论文集, 2008
›Xinru Liu, Camara Amara, Xuli Han.Constructive approximate interpolation for real functions by the radial basis function[C]. International Symposium on Computer Science and Technology, 2007: 342-345.


Major : Mathematics
Doctoral Degree in PhilosophyMajor : Mathematics
Bachelor's Degree
Central South University › Powder Metallurgy Research Institute (State Key Laboratory of Powder Metallurgy) › Postdoctoral Researche › Calculated the diffusion coefficients of alloying elements in aluminum alloys and established diffusion kinetic models, clarifying the effects of temperature and composition on diffusion behavior to support alloy composition design and heat treatment opti
Huawei Technologies Co., Ltd › Mobile Softswitch Department › Assistant Software Engineer › Developed and maintained a signaling protocol module, contributing to protocol stack implementation, troubleshooting, and release iteration to ensure the stability of call control in the mobile softswitch system.

Name of Research Group: Time Series Intelligent Computing Group
Description of Research Group:
What we do. We address fundamental problems in time series modeling, forecasting, and decision-making — long-range dependency, non-stationarity, multi-scale coupling, and uncertainty quantification — by integrating geometric computing and analysis, deep learning, and data mining on a solid foundation of applied mathematics and statistics. Our research spans meteorological forecasting and diagnostic attribution, time series forecasting, chip optimization and simulation, and transportation big data analytics.
What we have achieved. The group maintains close collaboration with the Chinese Academy of Meteorological Sciences and the climate centers of Guangdong, Chongqing, Hubei, and Sichuan (Southwest Region). Several systems developed by the group have been deployed in operational use, including the ensemble forecasting system for high-impact marine climate events in the South China Sea, the Guangdong intelligent forecasting system, and the extended-range air quality forecasting system, as well as simulation software for optimizing flip-chip interconnect parallelism. The group has published over 40 papers in journals including BAMS, AAS, QJRMS, Computer-Aided Design, and Knowledge-Based Systems.
Join us. Students with backgrounds in mathematics, statistics, computer science, or atmospheric sciences are welcome.