SSE Online Weekly Colloquium | 理工学院线上系列研讨会邀请

香港中文大学（深圳）理工学院致力于为全校师生打造一个进行科研学术交流的平台，促进各理工领域学术交流并探讨其前沿研究发展。自2021年9月开始，理工学院将在每周五下午三点至四点组织开展 “Weekly Colloquium” 系列讲座，受邀讲者来自理工学院的教授或是特邀校外知名学者开展学术研讨会。

为积极配合国家防疫工作，本学期理工学院系列研讨会将暂时通过线上会议的方式为老师同学们带来一连串精彩的头脑风暴、理工科知识分享盛宴，欢迎全体教职员工以及学生参与！

研讨会主要内容

4月22日，理工学院黄川教授将通过Zoom线上会议的方式为全体师生带来第十八场Weekly Colloquium。以下为本次研讨会的主要内容：

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研讨会题目

AI Wireless Communications

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参会方式

Zoom 会议号：946 1402 5459

Zoom密码：20220422

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参会时间

4月22日（星期五）下午三至四点

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研讨会摘要

Artificial Intelligence (AI) has been recognized as one of the keytechniques for the upcoming 6G wireless communications, and various AI methods,including Deep Learning (DL), reinforcement learning (RL), and federatedlearning (FL), well known from the computer science society, are starting toemerge in the wireless communications. Different from the conventionaldesign methods, which heavily rely on the statistical models of the wirelesschannels and user behaviors, AI methods tend to use the data directly obtainedfrom the wireless environment to optimize the system designs. In this talk, wewill introduce our three recent works about how to design the physical andupper layers of the wireless communication systems by adopting DL and RLmethods. Through these works, we will show that AI is a promising technique toboost the system performance and stabilize the system design with inaccurate parameterssuch as signal-to-noise ratio (SNR).

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讲者信息

黄川教授于2012年获得美国德州A&M大学(Texas A&M University)电子工程博士学位。曾担任美国普林斯顿大学副研究员、美国亚利桑那州立大学研究助理教授、新加坡国立大学访问学者。2020年获得国家优秀青年基金，2016年入选国家海外高层次青年人才项目。

他的研究方向是无线通信、通信信号处理、人工智能和优化理论在无线通信中的应用。黄川教授已经发表专著2部，专著章节1部，学术论文80余篇，包括IEEE等期刊论文40余篇。承担自然科学基金、教育部联合基金等项目，总金额超过1000万人民币，相关成果在国家重大事件中得到应用。担任了IEEE Transactions on Wireless Communications, IEEE Access, IEEE Wireless Communications Letters的编辑，也是中国通信协会高级会员、IEEE亚太通信协会下属会员发展分委会的秘书、IEEE通信协会学生竞赛委员会的委员。他还担任了IEEE GLOBECOM、IEEE ICCC等多个国际会议的分会和研讨会的主席，并应邀在多个国际知名的无线通信会议上做学术报告。

理工学院简介

理工学院坐落于粤港澳大湾区核心城市–深圳。学院秉承香港中文大学的优秀人文传统和浓厚学术底蕴，致力于培养具有国际视野、中华传统和社会担当的创新性高层次理工人才。作为学校的始创学院之一，以发展的眼光，开设了5个本科专业：数学与应用数学、化学、电子与计算机工程、新能源科学与工程、材料科学与工程（待批），2个授课型研究生项目：供应链与物流管理人员（与经管学院联合开办）、通信工程理学硕士专业和4个研究型硕士-博士项目：计算机与信息工程、材料科学与工程、数学、能源科学与工程。凭借香港中文大学崇高的办学理念和完善的学术体系，在来自全球的优质师资团队的努力下，培育了一届又一届优秀毕业生。在全球突发疫情的复杂国际形势影响之下，我院毕业生依然保持很高的就业率。

本系列讲座面向全校师生，无需提前报名预约，欢迎各位积极参加，敬请期待每期内容！

The School of Science and Engineering is committed to creating a platform for students and faculty members to exchange ideas and explore cutting-edge research developments in various fields of science and engineering. Starting from 2021 fall, SSE will organize the "Weekly Colloquium" series of seminars every Friday from 3:00 to 4:00 pm. Each week, SSE will invite our faculty members and distinguished guest speakers from outside the University to conduct academic seminars.  

Weekly Colloquium will be temporarily switched to the online mode to comply with the national epidemic prevention protocol and strive to bring a series of exciting brainstormings and feasts of cutting-edge science and engineering research updates for all teachers and students through Zoom online meeting this semester.

About the Colloquium

The speaker on April 22 is Prof. Chuan HUANG of SSE. The following is the detailed information about the online seminar.

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Topic

AI Wireless Communications

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Zoom Info

Zoom Meeting ID: 946 1402 5459

Passcode: 20220422

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Time

22 April, 2022 (Friday)

3:00 - 4:00 p.m.

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Abstract

Artificial Intelligence (AI) has been recognized as one of the keytechniques for the upcoming 6G wireless communications, and various AI methods,including Deep Learning (DL), reinforcement learning (RL), and federatedlearning (FL), well known from the computer science society, are starting toemerge in the wireless communications. Different from the conventionaldesign methods, which heavily rely on the statistical models of the wirelesschannels and user behaviors, AI methods tend to use the data directly obtainedfrom the wireless environment to optimize the system designs. In this talk, wewill introduce our three recent works about how to design the physical andupper layers of the wireless communication systems by adopting DL and RLmethods. Through these works, we will show that AI is a promising technique toboost the system performance and stabilize the system design with inaccurate parameterssuch as signal-to-noise ratio (SNR).

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The Speaker

Prof. Huang received the B.S. degree in math and the M.S. degree in communications engineering from the University of Electronic Science and Technology of China, Chengdu, in 2005 and 2008, respectively, and the Ph.D. degree in electrical engineering from Texas A&M University, College Station, TX, USA, in 2012. From 2012 to 2013, he was with Arizona State University, Tempe, AZ, USA, as a postdoctoral research fellow, and then promoted to an assistant research professor from 2013 to 2014. He was also a visiting scholar with the National University of Singapore and a research associate with Princeton University.

Since March 2020, he has joined the Future Network of Intelligence Institute and the School of Science and Engineering, the Chinese University of Hong Kong, Shenzhen. In 2020, he won the NSFC funding for excellent young scholar, and was selected into the National Overseas High-level Young Talents Program in 2016.

His research interests are wireless communication and signal processing, artificial intelligence and optimization theory applications in wireless communication.

He has published two books, one book chapter, and more than 80 papers, including more than 40 journal papers. He has undertaken projects such as the Natural Science Foundation and the Joint Fund of the Ministry of Education, with a total amount of over 10 million RMB, and relevant achievements have been applied in major national events. He has been serving as the editor for IEEE Transactions on Wireless Communications, IEEE Wireless Communications Letters, and IEEE Access. He is also a senior member of China Communications Association, secretary of member development sub-committee of IEEE Asia Pacific Communications Association, and a member of student Competition Committee of IEEE Communications Association. He also served as the symposium chair of IEEE GLOBECOM 2019 and IEEE ICCC 2019/2020. He was invited to give academic report in many international famous wireless communication conference.

School Profile

School of Science and Engineering is located in Shenzhen, a core city of the Guangdong-Hong Kong-Macao Greater Bay Area. Adhering to the rich CUHK's academic tradition with high emphasis on humanity elements, the School is committed to nurturing innovative technology leaders embracing China and the world with global visions and social responsibility.

As one of the founding schools of the University, SSE has so far offered 5 undergraduate programmes: Mathematics and Applied Mathematics, Chemistry, Electronical and Computer Engineering, Materials Science and Engineering (Approval Pending), 2 taught master programmes: Supply Chain and Logistics Management and Communication Engineering, and 4 research master/PhD programmes: Computer and Information Engineering, Materials Science and Engineering, Energy Science and Engineering, and Mathematics. Following the lofty educational philosophy and sound academic system of CUHK, SSE and its extraordinary faculty from all over the world have produced a succession of outstanding graduates. Even under the complex international situation of the global pandemic, SSE graduates still secured a high employment rate.

This series of seminars is open to all students and faculty members, and no pre-registration is required. Let's learn about the beauty of science and engineering together!

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