2 Jul 2025
22 CDS Professors Receive More Than HKD$19.5M Research Funding from Research Grants Council (RGC) 2025-26 Exercise
In this round, the HKU School of Computing and Data Science (CDS) obtained 19 GRFs and 3 ECSs, securing a total of more than HKD$19.5M.

Congratulations to the following professors who obtained the General Research Fund (GRF) and Early Career Scheme (ECS) award in the 2025/2026 grant application exercise!
In this round, the HKU School of Computing and Data Science (CDS) obtained 19 GRFs and 3 ECSs, securing a total of more than HKD$19.5M.
The list of awardees, and the titles of their grants are as follows:
GRF
Prof. Yuan CAO, Deep Learning with Fewer Labels: Algorithmic Advances and Theoretical Foundations
Prof. Hubert CHAN, Generalized Density Decompositions: A Unified Framework for Advancing Differential Privacy, Market Dynamics, and Online Allocation
Prof. Reynold CHENG, Hypothesis Testing for Large Graph Databases
Prof. Giulio CHIRIBELLA, Quantum process thermodynamics for the design of resource-efficient quantum technologies
Prof. Edwin FONG, Nonparametric Martingale Posteriors for Markov Processes
Prof. Shenghua GAO, Stereo Videos for Photorealistic and Geometrically Correct 3D and 4D Generation
Prof. Kai HAN, Geometry-aware and physics-grounded dynamic 3D scene modeling, understanding, and interaction
Prof. Zhiyi HUANG, Contract Design and Information Design Under an Uncertain Prior
Prof. Guodong LI, Interpretable and Efficient Autoregressive Models for High-Dimensional Tensor-Valued Time Series
Prof. Ping LUO, Safety-Driven Diffusion Policy for Embodied AI in Elderly Care
Prof. Bruno OLIVEIRA, Local Contextual Type Inference
Prof. Jia PAN, Resilient Hierarchical Imitation Learning for Long-Horizon General-Purpose Manipulation
Prof. Ravishankar RAMANATHAN, Advances in (Semi)-Device-Independent Quantum Cryptography using Generalised Bell and Kochen-Specker Theorems.
Prof. Chenshu WU, Transforming Wireless Sensing via Interpretable Deep Learning with White-Box Transformers
Prof. Chuan WU, Optimizing Large Multimodal Model Training and Inference
Prof. Yuxiang YANG, Towards the ultimate precision of noisy many-body quantum metrology.
Prof. Lequan YU, Adapting Pathology Foundation Models with Clinically Relevant Knowledge for Precise Soft Tissue Sarcoma Diagnosis and Prognosis
Prof. Hengshuang ZHAO, Holistic 4D Scene Understanding with Point Cloud Vectorization
Prof. Difan ZOU, Towards the Foundation of Diffusion Inference and Score Learning in Diffusion Models: Advanced Theories and New Algorithms-
ECS
Prof. Weiming FENG, Sampling and Approximate Counting for Undirected Graphical Models via Influence Bounds
Prof. Liangqiong QU, Vision Language Foundation Intelligent System for Early CNS Tumor Diagnosis and Interpretation from Presurgical Multi-Modal Data
Prof. Zhenqin WU, Foundation Models for Multiplexed Imaging: Methods and Applications
We wish our professors all the best for the start of the exciting research planned in their grants!