Your Name
PhD Candidate
Department of Computer Science, University Name
My research focuses on Machine Learning, Natural Language Processing, and AI for Science. I am particularly interested in developing efficient and interpretable deep learning methods.
News
Our paper "Title of Your Paper" has been accepted to ICML 2026!
Passed the PhD qualifying exam.
Started PhD program at University Name.
Released the open-source project "YourProject" on GitHub.
Presented our work at Workshop Name @ Conference.
Publications
2026
2025
Efficient Transformer Models for Long Document Understanding
Your Name, Another Collaborator, Advisor Name
Conference on Neural Information Processing Systems (NeurIPS)
Self-Supervised Learning for Graph Neural Networks
Collaborator One, Your Name, Another Author
International Conference on Learning Representations (ICLR)
Projects
Neural Architecture Search Toolkit
An open-source toolkit for automated neural architecture search with support for various search spaces and optimization algorithms.
Scientific Document Parser
A deep learning-based parser for extracting structured information from scientific papers, including citations, figures, and tables.
Graph Neural Network Library
Efficient implementations of state-of-the-art graph neural network architectures for node classification and link prediction.