Projects

Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning

A novel reinforcement learning framework that enhances generalization to unseen environments through language-guided compositional causal components.

Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning

Causal-Copilot: An Autonomous Causal Analysis Agent

A toolkit that integrates LLM capabilities and domain expertise to enable automated causal analysis for scientific researchers and data scientists.

Causal-Copilot: An Autonomous Causal Analysis Agent

Learning Causal Discovery

Learn to discover causality inside a large complex system without human prior

Learning Causal Discovery

Real-time Phase Locked Neural Feedback System Development

A millisecond-level phase locked neural feedback system based on OpenBCI

Real-time Phase Locked Neural Feedback System Development

Sartorius Neuronal Cells Segmentation

A robust deep learning pipeline for segmenting neuronal cells in microscopy images.

Sartorius Neuronal Cells Segmentation