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Currently Now:
I am currently a student research assistant at the ISLE lab working with Prof. Ziang Xiao and Postdoc Fellow. Jie Gao and I have also actively engaged in NLP discussions with Prof. Jason Eisner(Faculty advisor), Prof. Anjalie Field at the Center for Language and Speech Processing (CLSP). At the same time, I received my Master’s degree in Computer Science Engineering at Johns Hopkins University (JHU) in the 2024 Fall. -
In my Undergraduate:
Before joining JHU, I received my B.S. degree in Information and Computer Science, and Mathematics from Liaoning Technology University. During my undergrad study, I spent time at the Institute of Mathematics and Systems Science and the Institute of Machine Learning and Data Mining, where I was advised by Prof. Wei Liu and Prof.Yu Zhang works in Multivariate Statistical Analysis, Machine Learning, Reinforcement Learning, Informatics Theory, Numerical Analysis, and Math Modeling and Optimization Algorithms.
🤔 Research interest
My research interests include Human-Centered Artificial Intelligence (HCI-AI), Natural Language Processing(NLP), Statistical Inference, and Machine learning. My research work is motivated by the fundamental question of How to achieve and support bidirectional Human-AI Alignment between understanding humans at scale and AI data/algorithms/systems to bridge the socio-technical gap.
Specifically, I am currently interested in and my pre-research work includes:
- 1. Human-AI Alignment Interaction/Collaboration: How to build a Human-AI Data Annotation/Optimization/Selection Framework for Subjective and Ambiguous Labeling text in multiple fields to improve quality datasets.
- 2. LLMs for evaluation and application: How to evaluate and improve the capabilities of LLMs and agents to understand and interact with humans in the interaction process.
- 3. Machine learning and Statistical Inference: How to understand data statistics dynamics using math modeling and developing efficient machine learning algorithms for large-scale data analysis and intelligent pattern recognition.