Deep generative models for time series counterfactual inference 

3D deep learning for perception and modeling 

Deep learning for subsurface characterization and forecasting 

Structured visual understanding and generation with deep generative models 

Deep learning models for temporal data in health care 

Algorithms and frameworks for generating neural network models addressing energy-efficiency, robustness, and privacy 

Green image generation and label transfer techniques 

Neural creative language generation 

Human appearance analysis and synthesis using deep learning 

Deep representations for shapes, structures and motion 

Data privacy in deep learning using trusted hardware 

Physics discovery using deep learning with analytical activation functions 

Deep generative models for image translation 

Scaling up deep graph learning: efficient algorithms, expressive models and fast acceleration 

Generative graph models subject to global similarity 

Towards learning generalization 

Local-aware deep learning: methodology and applications 

Efficient deep learning for inverse problems in scientific and medical imaging 

Scaling recommendation models with data-aware architectures and hardware efficient implementations 

Leveraging training information for efficient and robust deep learning 

Physics-based data-driven inference 

Exploring complexity reduction in deep learning 

Generative foundation model assisted privacy-enhancing computing in human-centered machine intelligence 

Analysis using generalized linear models and its applied computation with R 

Optimization of CO2 storage efficiency under geomechanical risks using coupled flow-geomechanics-fracturing model