Jinda Zhang
Hi there👋, I’m pursuing graduate studies, co-advised by Prof. Aanchan Mohan at SLangLab and Prof. Yvonne Coady at MOD Squad.
I was Research Assistant advised by Prof. Mirjana Prpa, integrating large language models (LLMs) into AI avatars and social VR environments. I was Research Assistant during Khoury Research Apprenticeship in Vision Lab.
On the leadership side, I’ve mentored research teams and led weekly check-in meetings for Research Capstone Projects.
I work on Human AI Interaction, Speech Language Processing.
1.00
Enhancing AAC Software for Dysarthric Speakers in e-Health Settings: An Evaluation Using TORGO
Macarious Hui, Jinda Zhang, Aanchan Mohan
arXiv, 2024
Paper
This algorithm reduces prompt overlap and highlights that SOTA ASR models yield high word error rates for speakers with both mild and severe dysarthria.
1.00
Building LLM-based AI Agents in Social Virtual Reality
Hongyu Wan, Jinda Zhang, Abdulaziz Arif Suria, Bingsheng Yao, Dakuo Wang, Yvonne Coady, Mirjana Prpa
CHI LBW, 2024
Paper / Demo
We introduce the design and evaluation of an LLM-based AI agent for human-agent interaction in Virtual Reality (VR).
1.00
Enhancing Tree Type Detection in Forest Fire Risk Assessment: Multi-Stage Approach and Color Encoding with Forest Fire Risk Evaluation Framework for UAV Imagery
Jinda Zhang
arXiv, 2024
Paper
Our findings demonstrate the effectiveness of multi-stage detectors and optimizations in improving the accuracy of forest fire risk assessment.
1.00
Exploring Seasonal Patterns in Wildfire Features for Enhanced Prediction
Paper / Code
This study uses machine learning and deep learning to analyze seasonal variations in wildfire prediction, focusing on key features such as temperature, wind speed, and NDVI.
When I am not coding or reading papers, I enjoy math competition puzzles, reading, and playing chess.
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