プロフィール詳細

プロジェクトを作成

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Haozheng L.に依頼

United States

Northwestern University CS PhD Candidate, LLM experts

プロフィール概要

My research focuses on developing robust, interpretable machine learning models with applications in large-scale systems, multimodal data, and reinforcement learning. My recent work integrates Modern Hopfield Networks and quantisation techniques to improve the robustness and adaptability of foundation models, achieving enhanced performance in text, vision, and speech tasks. I have also explored in-context learning strategies to improve alignment in safety-critical AI systems.

専門分野

• ☆ Computer Science
• ☆ Distributed Computing
• ☆ Software Engineering
• ☆ Information Engineering
• ☆ Safety & Reliability Engineering
• ☆ Computer-Aided Engineering
• ☆ Data Collection
• ☆ Information & Knowledge Management
• ☆ Data Storage
• ☆ Python
• ☆ SQL
• ☆ Java
• ☆ Tensorflow
• ☆ LaTex
• ☆ Scikit-learn

サービス

• Research

Research Technology Scouting, Scientific and Technical Research

職務経験

Northwestern University

- 現在

学歴

PhD

Northwestern University

9月 2022 - 現在

Masters of Science

Georgia Institute of Technology

8月 2020 - 5月 2021

Bachelors

Georgia Institute of Technology

1月 2018 - 5月 2020

認定資格

• 認定資格の詳細は未入力です。

出版物

CONFERENCE PAPER

Haozheng Luo, Haoyu He, Qi R. Wang (2024). ST-MoE-BERT: A Spatial-Temporal Mixture-of-Experts Framework for Long-Term Cross-City Mobility Prediction .