News

News
17 JUL 2024

IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI) Outstanding Paper Award 2025

Prof WU, Dapeng Oliver, in collaboration with four international scholars, has been selected to receive the IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI) Outstanding Paper Award for Year 2025 for their paper titled ES Attack: Model Stealing against Deep Neural Networks without Data Hurdles

The Award includes a prize of US$1,000 to be shared among the co-authors.  The Award presentation will be held next year at the upcoming IEEE World Congress on Computational Intelligence or another major CIS Conference upon the co-authors’ choice.

16 MAY 2024

Highly Ranked Scholars™ by ScholarGPS

Prof FANG Yuguang Michael, Prof WANG Jun, Prof WU Dapeng Oliver, Prof ZHANG Qingfu and Prof WANG Shiqi have been named Highly Ranked Scholars by ScholarGPS.  ScholarGPS, a California based company, is a leading online platform for the analysis of scholarly activity in the academia and beyond.  Highly Ranked Scholars™ are celebrated for their exceptional performance in various fields, disciplines, and specialties.  

09 MAY 2024

ASPLOS 2024 Best Paper Award

Prof HUANG Heqing, in collaboration with scholars from a local university, has been awarded the ASPLOS 2024 Best Paper Award for their paper titled GiantSan: Efficient Memory Sanitization with Segment Folding.  This paper successfully reduces the querying complexity of the most widely-used runtime vulnerability detection tool, sanitizer, from O(log N) to O(1) with theoretical analysis.

The ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) is the premier academic forum (CORE A*, CCF A) for multidisciplinary computer systems research spanning hardware, software and their interaction.  ASPLOS 2024 was held in San Diego, California, USA from April 27 to May 1 2024. 

10 APR 2024

Smart Traffic Fund

Prof Jianping WANG’s project, titled Integrating Virtual and Real-World Testing Environments for Autonomous Vehicles, has been awarded the Smart Traffic Fund, managed by the Transport Department and Hong Kong Productivity Council.  The approved funding for this project exceeds HK$18 million

Prof Wang’s project aims to develop a comprehensive autonomous vehicles (AVs) testing system to facilitate extensive testing of AVs in a controlled environment.  The system comprises a simulation platform and a real-world testing site facilitated by mixed-reality technology focused on evaluating the perception, localization and planning capabilities, as well as other critical aspects of AV performance.