报告题目：Objective-Domain Dual Decomposition: An Effective Approach to Optimizing Partially Differentiable Objective Functions

主讲人：张晓明，香港浸会大学教授

时间：2020年9月25日(星期五)15:00-16:00

地点：腾讯会议（会议号：956907444）

报告摘要：

There is a class of optimization problems in which either part of the objective function is differentiable while the rest is nondifferentiable or the objective function is differentiable in only part of the domain. Accordingly, Prof. Cheung proposes a dual-decomposition-based approach that includes both objective decomposition and domain decomposition. In the former, the original objective function is decomposed into several relatively simple subobjectives to isolate the nondifferentiable part of the objective function, and the problem is consequently formulated as a multiobjective optimization problem (MOP). In the latter decomposition, he decomposes the domain into two subdomains, that is, the differentiable and nondifferentiable domains, to isolate the nondifferentiable domain of the nondifferentiable subobjective. Subsequently, the problem can be optimized with different schemes in the different subdomains. Prof. Cheung proposes a population-based optimization algorithm, called the simulated water-stream algorithm (SWA), for solving this MOP. The SWA is inspired by the natural phenomenon of water streams moving toward a basin, which is analogous to the process of searching for the minimal solutions of an optimization problem. The proposed SWA combines the deterministic search and heuristic search in a single framework. Experiments show that the SWA yields promising results compared with its existing counterparts.

报告人简介：

张晓明(CHEUNG, Yiu-ming)为香港浸会大学教授，是 IEEE Fellow，IET Fellow,英国计算机学会 Fellow，皇家文艺制造商业学会 Fellow 以及香港国际工程技术协会杰出 Fellow，IEEE 计算智能学会香港分会始创者及前任主席, IEEE计算机学会智能信息学委员会（TCII）现任主席，而且也是香港浸会大学计算和理论科学研究所的副所长。张晓明教授长期从事人工智能、模式识别、图像及视频处理，函数优化等研究，在相关国际著名期刊及学术会议上，如 IEEE Transactions on Pattern Analysis and Machine Intelligence，IEEE Transactions on Information Forensics and Security, IEEE Transactions on Image Processing，IEEE Transactions on Knowledge and Data Engineering，IEEE Transactions on Neural Networks，IEEE Transactions on Circuits and Systems for Video Technology，CVPR, IJCAI, AAAI 等已发表论文逾 250 篇，曾获 IWDVT’2005、ICNC-FSKD'2014、SEAL’2017 以及 ISICA’2017 国际会议最佳论文奖，并且在 CEC’2015 计算智能旗舰国际会议上荣获多模态优化竞赛第一名。此外，张教授于2011年获得香港浸会大学计算机科学系最佳研究奖，于2020年获选为IEEE Distinguished Lecturer。他已负责主持及承担包括香港研究资助局、国家自然科学基金等科研项目廿余项。张教授作为第一发明人现拥有三项发明专利。曾于 2017 年在瑞士日内瓦举行的第 45 届日内瓦国际发明展上（是次发明展吸引了超过700个来自40个国家的参展商，合共展出超过1000 件创新发明及产品）荣获计算机科学组别优异金奖（即金奖中的最高级别）及瑞士汽车会大奖二项国际大奖，并获2017 年第七届香港创新科技成就大奖香港创新发明奖金牌。此外，于 2018 年再次荣获第 46 届日内瓦国际发明展评判嘉许特别金奖（即金奖中的最高级别）以及罗马尼亚优异奖。他曾担任包括IJCAI, ACML, ICIP, ICDM, WI 在内的多个国际著名会议的程序委员会主席，组织委员会主席，分会主席等。张教授是香港研究资助局优配研究金及优质教育基金评审专家，是深圳市科技创新委员会以及香港学术及职业资历评审局评委。目前他担任若干国际期刊的副主编，如: IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, Pattern Recognition, Knowledge and Information Systems, Neurocomputing 及 International Journal of Pattern Recognition and Artificial Intelligence 等。

邀请人：人工智能系 江敏教授