Events

Seminar on "Novel hybrid advanced traction power supply system and high-quality and efficient energy management technology" by Dr Xin Wang

Date: 13 September 2024, Friday Time: 4:30 pm Venue: YEUNG-B5311, City University of Hong Kong Zoom Meeting ID: 859 2865 1236 Password: 123456 Speaker: Dr Xin Wang, City University of Hong Kong   Novel hybrid advanced traction power supply system and high-quality and efficient energy management technology Dr Xin Wang, City University of Hong Kong   Abstract: At present, the problems of neutral section, power quality, and low energy utilization rate are the main constraints that hinder the development of traditional traction power supply systems. As a better power supply mode, the advanced traction power supply system (ATPSS) integrating with photovoltaics (PV) and energy storage (ES) based on power electronics is proposed, which provides new opportunities for simultaneously solving the above issues. Therefore, a novel hybrid-ATPSS and high-quality and efficient energy management technology is discussed in this seminar, and it will be introduced from four aspects: advanced traction power supply device, control technology, fault-tolerant operation, multi-timescale efficient energy management.   Speaker’s Bio: Xin Wang is currently an Associate Researcher at City University of Hong Kong. He was born in Henan, China, 1997. He received the B.S. degree in electrical engineering and automation from Northeast Agricultural University, Harbin, China, in 2019 and the Ph.D. degree in electrical engineering from Hunan University, Changsha, China, in 2024. His current research interests include flexible interconnection device of distribution network, advanced traction power supply system. WEBINAR WEBSITE: http://cccn.ee.cityu.edu.hk/webinar/

Seminar on "Differentially Private Graph Neural Networks for Link Prediction" by Mr Xun Ran

Date: 6 September 2024, Friday Time: 4:30 pm Venue: CD634, The Hong Kong Polytechnic University Zoom Meeting ID: 270 294 7238 Password: 123456 Speaker: Mr Xun Ran, The Hong Kong Polytechnic University   Differentially Private Graph Neural Networks for Link Prediction Mr Xun Ran, The Hong Kong Polytechnic University   Abstract: Graph Neural Networks (GNNs) have proven to be highly effective in addressing the link prediction problem. However, the need for large amounts of user data to learn representations of user interactions raises concerns about data privacy. While differential privacy (DP) techniques have been widely used for node-level tasks in graphs, incorporating DP into GNNs for link prediction is challenging due to data dependency. To this end, in this work we propose a differentially private link prediction (DPLP) framework, building upon subgraph-based GNNs. DPLP includes a DP-compliant subgraph extraction module as its core component. We first propose a neighborhood subgraph extraction method, and carefully analyze its data dependency level. To reduce this dependency, we optimize DPLP by integrating a novel path subgraph extraction method, which alleviates the utility loss in GNNs by reducing the noise sensitivity. Theoretical analysis demonstrates that our approaches achieve a good balance between privacy protection and prediction accuracy, even when using GNNs with few layers. We extensively evaluate our approaches on benchmark datasets and show that they can learn accurate privacy-preserving GNNs and outperforms the existing methods for link prediction.   Speaker’s Bio: Mr Xun RAN is currently pursuing his Ph.D. degree in the Department of Electrical and Electronic Engineering, The Hong Kong Polytechnic University, Hong Kong. His research interests include data privacy and neural networks. WEBINAR WEBSITE: http://cccn.ee.cityu.edu.hk/webinar/

EEE Inaugural Banquet

Celebrating the successful merger of the Department of Electrical Engineering and the Department of Electronic and Information Engineering, the Inaugural Banquet of the newly formed Department of Electrical and Electronic Engineering (EEE) was a grand affair, graced by the distinguished presence of PolyU Council Members, Senior Management, Chair Professors, and key executives from leading engineering firms in Hong Kong. The event not only commemorated the rich heritage of both departments but also marked the beginning of a new chapter filled with exciting possibilities and collaborations. Under the guidance of Professor C.Y. Chung, the Head of the EEE Department, attendees were treated to a comprehensive overview of the Department’s educational, research, and knowledge transfer initiatives. The banquet served as a platform to honour former Heads of Department and alumni, acknowledging their contributions to the Department’s legacy. Throughout the evening, guests were captivated by a series of engaging presentations, including a custom-made video depicting the Department’s history, a splendid Chinese painting symbolizing unity and progress, story-sharing between an alumnus and a current student and a delightful musical performance by talented students and a staff member.  The event showcased students’ talents and promising futures as they embarked on their academic and professional paths.

Quantum Hong Kong 2024

Seminar by Prof. Chi-Man Pun on "Image Manipulation Localization with Deep Neural Networks"

Date: 18 July 2024, Thursday Time: 11:00 am Venue: Z505, The Hong Kong Polytechnic University Speaker: Prof. Chi-Man Pun, Department of Computer and Information Science, University of Macau

Seminar on "Artificial Intelligence for Omics-Based Biomedical Research" by Dr Shibiao Wan

Date: 16 July 2024, Tuesday Time: 11:00 am Venue: CD634, The Hong Kong Polytechnic University Speaker: Dr Shibiao Wan, University of Nebraska Medical Center

Seminar on "NOMA Assisted Far-Field and Near-Field Communications" by Prof. Zhiguo Ding

Date: 26 June 2024, Wednesday Time: 11:00 am Venue: Room FJ303, Department of Electrical and Electronic Engineering, PolyU Speaker: Prof. Zhiguo Ding, University of Manchester and Khalifa University

PolyU x NuttyShell Cybersecurity CTF 2024 Prize Presentation Ceremony

The PolyU x NuttyShell Cybersecurity CTF 2024 Prize Presentation Ceremony was successfully held on 29 May 2024, Wednesday, with over 80 participants and honourable guests, including Mr David Cheung, the Assistant Government Chief Information Officer (Cyber Security & Digital Identity) of OGCIO. The event was graced by the presence of Prof. Kwok-yin Wong, Vice President (Education) of PolyU, and Prof. Chi-yung Chung, Head of the EEE Department, making it a truly memorable occasion. As the only institution offering the UGC-funded programme “BSc(Hons) Degree in Information Security” in cybersecurity, PolyU, EEE and NuttyShell team organised the Cybersecurity CTF 2024 contest this year. With over 100 participants joining the contest from different schools and colleges, it is a pleasure to witness the growth of the cybersecurity community and the interests among youngsters in Hong Kong. During the prize ceremony, we received valuable insights on the ever-evolving AI and IT industry. We hope that the event can provide students with a unique experience and foster their passion in cybersecurity.

Seminar on "Research Advances in Microgrids" by Professor Claudio Cañizares

Date: 21 May 2024, Tuesday Time: 10:00am Venue: CF303, The Hong Kong Polytechnic University Speaker: Professor Claudio Cañizares, University of Waterloo

Seminar on "Crystallization kinetics control for highly efficient organic photovoltaics" by Prof. Wei MA

Date: 19 May 2024, Sunday Time: 10:00 am Venue: Room CD634, Department of Electrical and Electronic Engineering, PolyU Speaker: Prof. Wei MA, School of Materials Science and Engineering, Xi’an Jiaotong University