【演講】2019/11/19 (二) @工四816 (智易空間),邀請到Prof. Geoffrey Li(Georgia Tech, USA)與Prof. Li-Chun Wang(NCTU, Taiwan) 演講「Deep Learning based Wireless Resource Allocation/Deep Learning in Physical Layer Communications/Machine Learning Interference Management」
IBM中心特別邀請到Prof. Geoffrey Li(Georgia Tech, USA)與Prof. Li-Chun Wang(NCTU, Taiwan)前來為我們演講,歡迎有興趣的老師與同學報名參加!
演講標題:Deep Learning based Wireless Resource Allocation/Deep Learning in Physical Layer Communications/Machine Learning Interference Management
演 講 者:Prof. Geoffrey Li與Prof. Li-Chun Wang
時 間:2019/11/19(二) 9:00 ~ 12:00
地 點:交大工程四館816 (智易空間)
活動報名網址:https://forms.gle/vUr3kYBDB2vvKtca6
報名方式:
費用:(費用含講義、午餐及茶水)
1.費用:(1) 校內學生免費,校外學生300元/人 (2) 業界人士與老師1500/人
2.人數:60人,依完成報名順序錄取(完成繳費者始完成報名程序)
※報名及繳費方式:
1.報名:請至報名網址填寫資料
2.繳費:
(1)親至交大工程四館813室完成繳費(前來繳費者請先致電)
(2)匯款資訊如下:
戶名: 曾紫玲(國泰世華銀行 竹科分行013)
帳號: 075506235774 (國泰世華銀行 竹科分行013)
匯款後請提供姓名、匯款時間以及匯款帳號後五碼以便對帳
※將於上課日發放課程繳費領據
聯絡方式:曾紫玲 Tel:03-5712121分機54599 Email:tzuling@nctu.edu.tw
Abstract:
1.Deep Learning based Wireless Resource Allocation
【Abstract】
Judicious resource allocation is critical to mitigating interference, improving network efficiency, and ultimately optimizing wireless network performance. The traditional wisdom is to explicitly formulate resource allocation as an optimization problem and then exploit mathematical programming to solve it to a certain level of optimality. However, as wireless networks become increasingly diverse and complex, such as high-mobility vehicular networks, the current design methodologies face significant challenges and thus call for rethinking of the traditional design philosophy. Meanwhile, deep learning represents a promising alternative due to its remarkable power to leverage data for problem solving. In this talk, I will present our research progress in deep learning based wireless resource allocation. Deep learning can help solve optimization problems for resource allocation or can be directly used for resource allocation. We will first present our research results in using deep learning to solve linear sum assignment problems (LSAP) and reduce the complexity of mixed integer non-linear programming (MINLP), and introduce graph embedding for wireless link scheduling. We will then discuss how to use deep reinforcement learning directly for wireless resource allocation with application in vehicular networks.
2.Deep Learning in Physical Layer Communications
【Abstract】
It has been demonstrated recently that deep learning (DL) has great potentials to break the bottleneck of the conventional communication systems. In this talk, we present our recent work in DL in physical layer communications. DL can improve the performance of each individual (traditional) block in the conventional communication systems or jointly optimize the whole transmitter or receiver. Therefore, we can categorize the applications of DL in physical layer communications into with and without block processing structures. For DL based communication systems with block structures, we present joint channel estimation and signal detection based on a fully connected deep neural network, model-drive DL for signal detection, and some experimental results. For those without block structures, we provide our recent endeavors in developing end-to-end learning communication systems with the help of deep reinforcement learning (DRL) and generative adversarial net (GAN). At the end of the talk, we provide some potential research topics in the area.
3.Machine Learning Interference Management
【Abstract】
In this talk, we discuss how machine learning algorithms can address the performance issues of high-capacity ultra-dense small cells in an environment with dynamical traffic patterns and time-varying channel conditions. We introduce a bi adaptive self-organizing network (Bi-SON) to exploit the power of data-driven resource management in ultra-dense small cells (UDSC). On top of the Bi-SON framework, we further develop an affinity propagation unsupervised learning algorithm to improve energy efficiency and reduce interference of the operator deployed and the plug-and-play small cells, respectively. Finally, we discuss the opportunities and challenges of reinforcement learning and deep reinforcement learning (DRL) in more decentralized, ad-hoc, and autonomous modern networks, such as Internet of things (IoT), vehicle -to-vehicle networks, and unmanned aerial vehicle (UAV) networks.
Bio:
Dr. Geoffrey Li is a Professor with the School of Electrical and Computer Engineering at Georgia Institute of Technology. He was with AT&T Labs – Research for five years before joining Georgia Tech in 2000. His general research interests include statistical signal processing and machine learning for wireless communications. In these areas, he has published around 500 referred journal and conference papers in addition to over 40 granted patents. His publications have cited by 37,000 times and he has been listed as the World’s Most Influential Scientific Mind, also known as a Highly-Cited Researcher, by Thomson Reuters almost every year since 2001. He has been an IEEE Fellow since 2006. He received 2010 IEEE ComSoc Stephen O. Rice Prize Paper Award, 2013 IEEE VTS James Evans Avant Garde Award, 2014 IEEE VTS Jack Neubauer Memorial Award, 2017 IEEE ComSoc Award for Advances in Communication, and 2017 IEEE SPS Donald G. Fink Overview Paper Award. He also won the 2015 Distinguished Faculty Achievement Award from the School of Electrical and Computer Engineering, Georgia Tech.
Li-Chun Wang (M'96 -- SM'06 -- F'11) received Ph. D. degree from the Georgia Institute of Technology, Atlanta, in 1996. From 1996 to 2000, he was with AT&T Laboratories, where he was a Senior Technical Staff Member in the Wireless Communications Research Department. Currently, he is the Chair Professor of the Department of Electrical and Computer Engineering and the Director of Big Data Research Center of of National Chiao Tung University in Taiwan. Dr. Wang was elected to the IEEE Fellow in 2011 for his contributions to cellular architectures and radio resource management in wireless networks. He was the co-recipients of IEEE Communications Society Asia-Pacific Board Best Award (2015), Y. Z. Hsu Scientific Paper Award (2013), and IEEE Jack Neubauer Best Paper Award (1997). He won the Distinguished Research Award of Ministry of Science and Technology in Taiwan twice (2012 and 2016). He is currently the associate editor of IEEE Transaction on Cognitive Communications and Networks. His current research interests are in the areas of software-defined mobile networks, heterogeneous networks, and data-driven intelligent wireless communications. He holds 23 US patents, and have published over 300 journal and conference papers, and co-edited a book, “Key Technologies for 5G Wireless Systems,” (Cambridge University Press 2017).
同時也有1部Youtube影片,追蹤數超過19萬的網紅TheGRIMFILM,也在其Youtube影片中提到,A short film by GRIM FILM's newest member, Sidney Chan from WayangTree Productions. The sound of music has an effect on us that not many would realise...
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A short film by GRIM FILM's newest member, Sidney Chan from WayangTree Productions. The sound of music has an effect on us that not many would realise. Listening to familiar melodies can send us off to a faraway space and time; such as the first time and place we met, spoke, or laughed together.
"Resonance" is an experimental film about conversations through memories and non-linear storytelling. A single conversation takes place across several different locations, parallel to each other, signifying the passage of time and the developing relationship between its two main characters as recalled in memory.
Originally conceived as a simple promotional video for HELP University's FrequenC club's 5th Annual Concert, the project grew to what it is now; shot within 7 days and released just in time to be the concert's opening video on June 4th, 2014. Resonance draws several inspirations from other films; particularly old school Hong Kong dramas and Wong Fu Productions, with Joe Hisaishi's Kikujiro as a point of reference for the theme song (which had been lovingly composed by budding violinist Joshua Lew).
The crew from WayangTree Productions had been a strong supporter of FrequenC, and had collaborated in making short films since 2012.
As the original members had since moved on with their lives and its director Sidney Chan moving on to GRIM FILM, Resonance is WayangTree's final short film, and will remain dormant for an unspecified time.
This film was a race against time and an incredible adventure of chance, new and renewed friendships, and new experiences - it was a first time for the majority of the cast and crew, including the main actors. Every single person had their lasting impact on the development of this film, no matter how big or small. God bless everyone!
Equipments Used:
Camera: Canon 5D3, 6D, 600D
Lenses: 70-200 f2.8 IS II, 24-105L, 50 f1.2
Sound: Senheisser Wireless Microphone, Zoom H6
Handling: Specced Video Tripod, Weifeng Monopod, Manfrotto Monopod
Software: Adobe Premiere Pro, Adobe Audition
Main Cast:
Kimberly Choo -- Violinist http://instagram.com/kiimsical
Ving Lee - Shop Attendant http://instagram.com/xxvingxx
Fiorella Tjahjono Tan - Little Girl
Wong Tuck Cheong - Old Man (Kelab Seni Filem Malaysia) http://goo.gl/cS5c2D
Crew:
Sidney Chan (Producer,Director,DOP,Editor,Writer) http://instagram.com/thesidneychan http://goo.gl/el57KA
Sherli Li (Executive Producer, Production Assistant, Camera Operator)
Gary Yap (Camera Operator) - My Psychology - http://goo.gl/12dD5o
Mathiban Raj (Camera Operator) - http://goo.gl/scFgNr
Joylene Ling (Camera Operator) http://www.youtube.com/user/jutlin1
Davidson Chan (Sound Recording)
Chong Yu Tatt (BTS, Story Treatment)
Jason Lim (BTS, Story Treatment)
Yvonne Tan (Sound Recording, Production Assistant, Conti)
Sarah Yung Kah Yan (Creative Consultant)
Joshua Lew (Violin Composer, Violin Coach)
Mas Mahathir (Piano Composer, Piano Reprise)
Ray Mak Hon Kit (Piano Reprise)
Nelvin Chee (Script Translator, Cantonese Subtitles)
Wei Xiang aka InYourFaceZeph (Theme Song Mastering)
http://www.youtube.com/user/inyourfacezeph
Special Thanks
Jared Lee - GRIM FILM (For lenses, camera and microphoness) http://goo.gl/oqTe5j
Joylene Ling - JOY Photography (For lenses) https://www.facebook.com/JoyleneLingPhotography
YAMAHA Great Sound Music Academy Sdn Bhd (Space U8) - http://goo.gl/FGbQjO
Sarah Yung Kah Yan (for the initial meeting that led to the final film concept)
Lusi Tjahjono Tan and Family
Ray Mak Hon Kit - http://www.youtube.com/user/makhonkit
InYourFaceMusic - http://goo.gl/FD8Z4i
Kay Lee
Old Town White Coffee (Oasis Square)
Daniel Veerapen http://www.youtube.com/user/DanielVeerapen
FrequenC https://www.facebook.com/frequenc
WayangTree http://www.youtube.com/channel/UCwl_XuPIkZ3ok1RXNfCH2sw
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