News and Update

  • Information Engineering Student Wins Gold at­­­­­ ASM Technology Competition

    Deng Yubin has won the ASM Technology Award 2015 with his undergraduate Final Year Project titled "Attribute based human identification" supervised by Prof. LOY Chen Change Cavan.  His project is considered for the gold award as a practical innvoation tool and advanced methodology that are specific for pedestrian attribute recognition ...
  • Students Won Top Prizes at Challenge Cup Hong Kong University Students Extra-curriculum Technology Contest

    As a biennial national competition, the Challenge Cup is known as the 'Olympics' in promoting innovation in social science, science and technology for university students in China.  This year, the Hong Kong New Generation Cultural Association held the first Challenge Cup Hong Kong University Students Extra-curriculum Technology Contest ...
  • Information Engineering Professors Revealed Sweeping Security Loopholes in Mobile Devices and Social Media

    Research teams of the Department of Information Engineering have recently revealed serious security loopholes in Android devices and social media.  The findings, which have been released in the ACM Conference on Computer and Communications Security 2014 and Black Hat USA 2014, have drawn wide attention in the research community, ...
  • Innovative Network Coding Techniques Revolutionize Wireless Communications

    The university has recently been named by Thomson Reuters as one of the 10 research institutions in the world with the most impact on telecommunications. Amongst US and European universities, it is the only Asian institution on the list. The recognition was given to 10 institutions having the highest citation impact (research papers being the most highly cited by ...
  • Best Student Paper Award Featured in WiOpt 2015

    *A Game-Theoretic Analysis of User Behaviors in Crowdsourced Wireless Community Networks* The Network Communications and Economics Lab (NCEL) led by *Prof. Jianwei Huang*, Department of Information Engineering, CUHK, has recently made a comprehensive analysis of the user behaviors in crowd-sourced Wi-Fi community networks. The ...
  • Prof. Jianwei Huang Receives Distinguished Service Award From IEEE Communications Society MMTC

    Prof. Jianwei Huang from the Department of Information Engineering received the 2015 Distinguished Service Award from IEEE Communications Society Multimedia Communications Technical Committee (MMTC), for his exemplary services contributions to MMTC community over a sustained period of time. The...
  • Prof. Jianwei Huang Elected as IEEE Communications Society Distinguished Lecturer

    Prof. Jianwei Huang from the Department of Information Engineering was elected as an IEEE Communications Society Distinguished Lecturer for the years of 2015-2016. The Distinguished Lecturer program is an IEEE wide efforts of recognizing engineering professionals who help lead their fields in new technical developments that shape the global community. Prof. ...
  • Engineering Research on Privacy and Security in Online Social Networks

    Online Social Networks (OSN), like Facebook, Twitter and LinkedIn, has become an essential part of our daily life. We use them to maintain connections with our friends and get useful information. Besides, we use a lot of 3rd party Apps for amusement or additional functionalities. OSN users must authorize those Apps to access their own data objects, like statuses and ...
  • NCEL Develops New Business Model to Make Broadband Wireless Services Economical and Sustainable

    The Network Communications and Economics Lab (NCEL) led by Prof. Jianwei Huang, Department of Information Engineering, The Chinese University of Hong Kong (CUHK), has recently proposed a novel information market model for utilizing idle TV white space spectrum, which can bring a significant profit to the white space database operator, while guaranteeing mobile users ...
  • Novel Face Recognition System Developed by CUHK Faculty of Engineering

    A CUHK research team led by Prof. Xiaoou Tang, Professor, Department of Information Engineering, and Prof. Xiaogang Wang, Assistant Professor, Department of Electronic Engineering, has built a novel facial recognition system that with the highest accuracy in the world. While humans recognize faces at an accuracy rating of 97.53% on Labeled Faces in the Wild, the ...

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