Area of research
Computer Vision and Pattern Recognition · Molecular Biology
Research interest
Research interests include vaccines and immunoinformatics approaches, Advanced Neural Network Applications, Aquaculture Nutrition and Growth, and Medical Image Segmentation Techniques.
GRAG: Graph Retrieval-Augmented Generation
Boundary-Sensitive Segmentation of Small Liver Lesions
Laplacian Salience-Gated Feature Pyramid Network for Accurate Liver Vessel Segmentation
Reciprocal cross-modal guidance for liver lesion segmentation from multiple phases under incomplete overlap
Flexibility-aware graph model for accurate epitope identification
Mining statistically-solid k-mers for accurate NGS error correction
MapReduce for accurate error correction of next-generation sequencing data
ERI: Towards Efficient and Robust Federated Neuromorphic Learning in Wireless Edge Networks
Collaborative Research: OAC Core: Distributed Graph Learning Cyberinfrastructure for Large-scale Spatiotemporal Prediction
CAREER: Uncovering Solar Wind Composition, Acceleration, and Origin through Observations, Modeling, and Machine Learning Methods
Travel: NSF Student Travel Support for the 2023 IEEE International Conference on Data Mining (IEEE ICDM 2023)
SHINE: Understanding the Physical Connection of the in-situ Properties and Coronal Origins of the Solar Wind with a Novel Artificial Intelligence Investigation
CAREER: Spatial Network Deep Generative Modeling, Transformation, and Interpretation
III: Small: Deep Generative Models for Temporal Graph Generation and Interpretation
OAC Core: SMALL: DeepJIMU: Model-Parallelism Infrastructure for Large-scale Deep Learning by Gradient-Free Optimization
OAC Core: SMALL: DeepJIMU: Model-Parallelism Infrastructure for Large-scale Deep Learning by Gradient-Free Optimization
III: Small: Deep Generative Models for Temporal Graph Generation and Interpretation
III: Small: Graph Generative Deep Learning for Protein Structure Prediction
CAREER: Spatial Network Deep Generative Modeling, Transformation, and Interpretation
CRII: III: Interpretable Models for Spatio-Temporal Event Forecasting using Social Sensors
III: Small: Graph Generative Deep Learning for Protein Structure Prediction
CRII: III: Interpretable Models for Spatio-Temporal Event Forecasting using Social Sensors
AGS-PRF: Exploring the Equatorial Solar Wind from Photosphere to Heliosphere Along Solar Cycles