Publications
Currently, my research focuses on multimodal AI systems that bridge computer vision, natural language processing, and machine learning. I work on developing intelligent agents that can understand and generate content across multiple modalities, with applications in video analysis, time series forecasting, and feature transformation.
2025
Under Review TimesFrame: Multi-Variable Time Series is a Video of Numerical Data
Paper (Coming Soon)
arXiv'2505 Agentic Feature Augmentation: Unifying Selection and Generation with Teaming, Planning, and Memories
Under Review MECT: From Multimodal Knowledge Acquisition To Contrastive Embedding Construction For Generative Feature Transformation
Paper (Coming Soon)
AAAI'26 Efficient Post-Training Refinement of Latent Reasoning in Large Language Models
AAAI'26 Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO2 Storage