Scholar
Xiao Li
Google Scholar ID: sMdvba0AAAAJ
University of Florida
Citations & Impact
Citations
124
H-index
5
i10-index
4
Publications
16
Co-authors
8
list available
Resume
Academic Achievements
- - Publications:
- - “CAESAR: A Unified Framework for Foundation and Generative Models for Efficient Compression of Scientific Data”
- - “Fine-Tuning Vision-Language Models for Visual Navigation Assistance” (ICML Workshop)
- - “Generative Latent Diffusion for Efficient Spatiotemporal Data Reduction” (SC25)
- - “Foundation Model for Lossy Compression of Spatiotemporal Scientific Data” (PAKDD25)
- - “Machine Learning Techniques for Data Reduction of Climate Applications” (PAKDD25)
- - “Attention Based Machine Learning Methods for Data Reduction with Guaranteed Error Bounds” (IEEE BigData 2024)
- - “A Data-driven Approach for Probabilistic Traffic Prediction and Simulation at Signalized Intersections” (IV 2024)
- - “An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation” (IEEE Transactions on Intelligent Transportation Systems)
- - “Hybrid Approaches for Data Reduction of Spatiotemporal Scientific Applications” (DCC Conference, Data Compression Conference)
- - “A Spatiotemporal Correspondence Approach to Unsupervised LiDAR Segmentation with Traffic Applications” (IEEE Intelligent Transportation Systems Conference)
- - “Computer-aided autism spectrum disorder diagnosis with behavior signal processing” (IEEE Transactions on Affective Computing)
- - “An Efficient Semi-Automated Scheme for LiDAR Annotation and A Benchmark Infrastructure Dataset”
- - Awards:
- - Gartner Group Graduate Fellowship (March 2024)
Research Experience
- - Current Work: Vision-language model for visual navigation, foundational diffusion models for data reduction and spatiotemporal data generation
- - Experience: Unsupervised learning, point cloud data processing, gesture, gaze, and pose estimation, and designing and building large-scale datasets
Education
- - Ph.D.: University of Florida, supervised by Prof. Sanjay Ranka and Prof. Anand Rangarajan, expected to graduate in Fall 2025
- - Master's Degree: Sun Yat-Sen University, supervised by Prof. Dong Zhang, graduated in 2020
- - Bachelor's Degree: Sun Yat-Sen University, supervised by Prof. Dong Zhang, graduated in 2018
Background
- - Research Interests: Generative AI, Multimodal Language Model, Data Reduction, Smart Transportation, Human-Computer Interaction
- - Professional Field: Applying deep learning to solve practical problems, including vision-language models, generative AI, data compression, smart transportation, AI for science (e.g., climate modeling, turbulence), and human-computer interaction
- - Brief Introduction: Ph.D. student at the University of Florida, focusing on applying deep learning to practical problems with a wide range of expertise.
Miscellany
- - Personal Interests: Actively seeking summer and fall internships in 2025, with the goal of securing a return offer to begin full-time work at the end of 2025
