Computer Science Researchers Secure Record Results in RGC’s 2022/23 Research Funding Schemes

Jul 13, 2022

The Department of Computer Science achieved excellent results in the latest funding exercise conducted by the Research Grants Council (RGC) on its General Research Fund (GRF) and Early Career Scheme (ECS). The Department was awarded 7 projects, including 5 GRF projects and 2 ECS projects, with grants totalling over HK$7 million, an increase of 75% and 152% in terms of the number of projects and funding amount compared with those last year respectively.

“Our funding successes are not possible without a team of dedicated high-quality researchers,” said Professor Jianliang Xu, Head of the Department. Apart from congratulating the winning faculty for their hard work in securing record funding results, he also expressed gratitude to all faculty who have made strong efforts in submitting high quality proposals in this exercise. To sustain our success and advance further, the Department will continue to attract more top-flight young talents to conduct impactful multi-disciplinary and transdisciplinary research.

The GRF and ECS are competitive peer-reviewed research funding schemes supported by the RGC. The former aims to support researchers who have achieved or have the potential to achieve excellence, while the ECS aims to nurture junior academics and prepare them for a career in education and research.

Type Principal Investigator Project Title
GRF Professor Yiu-ming Cheung Unsupervised Multi-source Domain Adaptation Approach to Deep Classification under a Complex Environment: A Challenging Problem?
GRF Professor Jiming Liu Learning with Complex Data: A Mutual-Information-Guided Deep Learning (MIGDL) Framework
GRF Dr. Zhe Peng Towards Efficient and Verifiable SQL Queries with Trusted Hardware in Blockchain Systems
GRF Professor Jianliang Xu When Learned Index Meets Blockchain: Design, Algorithms, and Performance Evaluation
GRF Professor Pong-chi Yuen Identifying High-Risk Early-Stage Chronic Liver Disease Patients:  A Test-Time Training Approach
ECS Dr. Jing Ma Conversation-based Reasoning for Explainable Fake News Detection via Weakly Supervised Evidence Detection
ECS Dr. Wei Xue Expressive and Controllable AI Music Creation based on Audio- Oriented Representation Analysis on Large-scale Data