Research Projects
| Principal Investigator | Funding Scheme^ | Project Title |
|---|---|---|
Prof CHENG Ran |
GRF | Towards Learnable Evolutionary Multi-objective Optimization via Neural Unrolling |
| Prof LIU Catherine C. Associate Professor |
GRF | Statistical learning and inference for 3D tensor objects with applications to ultrawidefield images |
| Prof HUANG Jian Chair Professor of Data Science and Analytics |
GRF | Semiparametric Generative Models for Representation Learning and Statistical Inference |
| Prof YANG Xingyi Assistant Professor |
ECS | One Image, Infinite World: Persistent 3D Video Generation from a Single Frame |
| Principal Investigator | Funding Scheme^ | Project Title |
|---|---|---|
Prof WU Xiao Ming Associate Professor |
GRF | Knowledge Localization and Fusion for Language Model Continual Learning: Methodology and Applications |
| Prof LIN Wanyu Assistant Professor |
GRF | Reliable Generative Modeling for 3D Molecules: Generation, Acceleration, and Evaluation |
| Prof HAN Ruijian Assistant Professor |
GRF | Statistical Ranking with Streaming Data |
| Prof JIANG Binyan Associate Head (Teaching) and Associate Professor |
GRF | Hypergraph Embeddings: A Novel Approach with Increasing Dimensions |
| Principal Investigator | Funding Scheme^ | Project Title |
|---|---|---|
Prof. HUANG Jian |
GRF | Sufficient and Invariant Representation Learning: with Applications to Transfer Learning |
| Prof. JIANG Binyan Associate Head (Teaching) and Associate Professor |
GRF | Dynamic Networks with Degree Heterogeneity and Homophily: A Convex Loss Approach and Beyond |
| Prof. QI Houduo Professor |
GRF | Matrix Optimization of Eulcidean Embedding: Stability, Algorithms and Applications |
| Prof. TAN Kay Chen Head and Chair Professor of Computational Intelligence |
GRF | Towards Efficient Large Model Training via Learning from Small Models |
| Prof. WU Jibin Assistant Professor |
GRF | Sense Like Your Brain: Advancing Audio-Visual Perception and Understanding with Brain-inspired Technologies |
| Prof. YUAN Yancheng Assistant Professor |
ECS | An efficient sieving based secant method for nonconvex optimization problems with applications in structured learning models with noisy observations |
| Principal Investigator | Funding Scheme^ | Project Title |
|---|---|---|
| Prof. QI Houduo Professor |
GRF | Newton Augmented Lagrangian Methods for Sparse Composite Optimization |
| Prof. TAN Kay Chen Head and Chair Professor of Computational Intelligence |
GRF | Towards Lightweight Optimization for Complex Problems |
| Prof. WU Jibin Assistant Professor |
ECS | Towards Neuroscience-inspired Neural Architecture Design |
| Principal Investigator | Funding Scheme^ | Project Title |
|---|---|---|
| Prof. HAN Ruijian Assistant Professor |
ECS | Statistical Analysis of Comparison Data with an Informative Comparison Graph Structure |
| Prof. JIANG Binyan Associate Head (Teaching) and Associate Professor |
GRF | Autoregressive Networks with Degree Heterogeneity |
| Prof. KUMAR Ajay Associate Head (Research) and Professor |
GRF | Seeing the World Behind 2D Images: Neural Light Fields for 3D Scene Representation and Understanding |
| Prof. LIN Wanyu Assistant Professor |
GRF | Towards Privacy-Preserving Explainability for Graph Neural Networks |
| Prof. LIU Catherine C. Associate Professor |
GRF | Statistical Learning for 2D Medical Images with Application to Ophthalmic Scans |
| Prof. TAN Kay Chen Head and Chair Professor of Computational Intelligence |
GRF | Advancing Multi-task Designs for Large-scale Multi-objective Optimization |
