张 绍 群 Shao-Qun Zhang Ph.D. candidate, LAMDA Group Department of Computer Science and Technology National Key Laboratory for Novel Software Technology Nanjing University Nanjing 210023, China Supervisor: Professor Zhi-Hua Zhou Email: zhangsq{at}lamda{dot}nju{dot}edu{dot}cn     OR   zhangsqhndn{at}gmail{dot}com

Biography

I received my B.Sc. degree in June 2015 and M.Sc. degree in June 2018 from Sichuan University (SCU), majoring in Basic Mathematics and Applied Mathematics. Since Sept 2018, I become a Ph.D. candidate in the LAMDA Group led by professor Zhi-Hua Zhou.

Supervisor

Professor Zhi-Hua Zhou.

Research Interests

I am interested in the following topics:

• Time Series Analysis

• Recently, I am working on time series forecasting, including lag selection, forecasting in continous fields, and quantitative analysis.
• I also make some efforts on the forecasting theory, including predictable theory, long- and short-term causal system, etc..

• Deep Learning

• With Dynamical System. I am interested in exploring the dynamics of various neural systems, such as the spiking neural networks (SNNs). SNNs take into account the time of spike firing rather than simply relying on the accumulated signal strength in conventional neural networks, and thus offering the possibility for modeling time-dependent data.
• With neuroscience-inspired intelligent machines. Recently, we proposed a novel bio-plausible neuron model, the Flexible Transmitter (FT) model. The FT model is inspired by the one-way communication neurotransmitter mechanism in nervous systems, and has the formation of a two-variable two-valued function, which takes the commonly-used MP neuron model as its special case.

Publications and Manuscripts

• Shao-Qun Zhang and Zhi-Hua Zhou. Flexible Transmitter Network. arXiv:2004.03839.

  [version] [code] [bib]

• Shao-Qun Zhang, Zhao-Yu Zhang, Zhi-Hua Zhou. Bifurcation Spiking Neural Network. arXiv:1909.08341.

  [version] [bib]

• Shao-Qun Zhang and Zhi-Hua Zhou. Harmonic recurrent process for time series forecasting. In: Proceedings of the 24th European Conference on Artificial Intelligence (ECAI'20), Santiago de Compostela, Spain, 2020, pp.1714-1721.

  [pdf] [code] [bib]

Professional Services

• Conference Reviewer: ICML 2019, ICML 2020, NeurIPS 2019, AAAI 2019, AAAI 2020, AAAI 2021, ECAI 2020

• Journal Reviewer: TKDD, MLJ

Awards & Honer

• National Graduate Scholarship, MOE of PRC, 2017

• A-level Certification of Comprehensive Quality of College Students in Sichuan Province, Communist Youth League of Sichuan Province, 2017

• Excellent Graduate of Sichuan Province, Education Department of Sichuan Province, 2017

• Excellent Undergraduate of Sichuan Province, Education Department of Sichuan Province, 2014

• "Tong-Xin" Excellent Undergraduate Scholarship, SCU in Chengdu, 2012-2015

Correspondence

Email: zhangsq{at}lamda{dot}nju{dot}edu{dot}cn OR zhangsqhndn{at}gmail{dot}com

Office: Room 912-09, Computer Science Building, Xianlin Campus of Nanjing University

Address: Shaoqun Zhang, National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox 603, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
(南京市栖霞区仙林大道163号, 南京大学仙林校区603信箱, 软件新技术国家重点实验室, 210023.)