报告题目：Nonlinear Control for Intelligent Vehicles报 告 人：江菁晶报告时间：2018年12月28日9:30—10:30报告地点：南一楼中315 报告摘要：Vehicles are mobile machines transporting people or cargo from one place to another. Typical vehicles include mobile robots, bicycles, motor vehicles (motorcycles, cars, buses, trucks, etc.), railed vehicles (trains, trams, etc.), aircraft and ships. This presen...

报告题目：Beyond Deep Recognition: Discovering Visual Patterns in Big Visual Data报 告 人：Junsong Yuan（袁浚菘）（Associate Professor (tenured), Director of Visual Computing Lab, State University of New York at Buffalo, Buffalo, NY, USA.）报告时间：2018年12月28日14:30报告地点：逸夫科技楼北楼903室 Abstract: Thanks to deep learning, many computer vision tasks nowadays are formulated as the regre...

报告题目: Deep learning and beyond for image understanding报 告 人：Prof. Chunhua Shen（University of Adelaide, Australia）报告时间：2018年12月24日9：30报告地点：南一楼中311 摘要: Dense per-pixel prediction provides an estimate for each pixel given an image, offering much richer information than conventional sparse prediction models. Thus the Computer Vision community have been increasingly shi...

报告题目: Nonlinear output regulation with non-vanishing measurements报 告 人：王雷 博士后（澳大利亚纽卡斯尔大学）报告时间：2018年12月24日14：30报告地点：南一楼中311 摘要：The nonlinear output regulation problem will be addressed in presence of measurements that, besides the regulated error, might include also extra outputs non-vanishing in steady state. Both post- and pre- processing solutions...

报告题目：Heat transfer analysis of natural convection in nanofluids and micropolar fluids报 告 人：M. Muthtamilselvan教授（Bharathiar University, India）报告时间：2018年12月22日上午10:30至11:30报告地点：南一楼中311 摘要： Natural convection of nanofluid/micropolar fluid in a square cavity with uniform and nonuniform heated thin plate built in horizontally or vertically is investigated numerica...

报告题目：Impulsive controller design for exponential synchronization of delayed stochastic memristor-based recurrent neural networks报 告 人：Rajan Rakkiyappan 教授（Bharathiar University, India）报告时间：2018年12月22日上午9:30至10:30报告地点：南一楼中311 摘要： In this talk, impulsive synchronization of stochastic memristor-based recurrent neural networks with time delay is studied. One can ...

报告题目：Consensus of multi-agent system and applications to smart grid报 告 人：Tingwen Huang教授（Texas A&M University at Qatar）报告时间：2018年12月18日上午10:00至11:00报告地点：南一楼中302 摘要： We review the state of art of current research on the consensus, or more general, the dynamics of complex networks. Then share some recent results on consensus of multi-agent system such as multi-...

报告题目：Consensus Problems in Multi-Agent Systems via Hybrid Protocols报 告 人：Xinzhi Liu 教授（加拿大滑铁卢大学）报告时间：2018年12月5日15：00报告地点：南一楼中311室 摘要：This talk discusses the consensus problem of multi-agent systems with both fixed and switching topologies. A hybrid consensus protocol is proposed to take into consideration of continuous-time communications among agents ...

报告题目：Fast Online Object Tracking and Segmentation: A Unifying Approach报 告 人：张力 博士后研究员（牛津大学）报告时间：2018年11月28日10:00报告地点：南一楼中311 报告内容摘要：In this talk, I will illustrate how to perform both real-time object tracking and semi-supervised video object segmentation with a single simple approach. The method, dubbed SiamMask, acts on the offline training proce...

报告题目：基于柔性系数自回归模型的非线性时间序列建模方法报 告 人：甘敏 教授报告时间：2018年11月21日10:30报告地点：南一楼中311 内容简介：时间序列建模是一个学科交叉研究方向，在自动控制、经济等众多领域有重要应用，对其的研究有着普适性的现实意义。本报告简要介绍基于柔性系数自回归模型的非线性时间序列与非线性系统的建模方法，包括模型的结构、原理、遍历性、模型的可解释性以及应用，特别给出了一种适用于该类...