I am currently a Ph.D. student at the University of Florida under the supervision of Prof. Sanjay Ranka and Prof. Anand Rangarajan . I got my bachelor’s degree and master’s degree at Sun Yat-Sen University in 2018 and 2020 respectively under the supervision of Prof. Dong Zhang. My research focuses on applying deep learning to solve practical problems. Currently, I am working on developing foundational models for lossy data compression using conditional diffusion.
My research interest includes:
- Smart transportation
- Unsupervised learning
- Error bounded lossy data compression
- Generative AI
🔥 News
- 2024.12: ⭐⭐ Xiao Li will present the work “Attention Based Machine Learning Methods for Data Reduction with Guaranteed Error Bounds” at IEEE BigData 2024 in Washington DC, USA.
- 2024.10: 🎉🎉 Our paper “Attention Based Machine Learning Methods for Data Reduction with Guaranteed Error Bounds” has been accepted in IEEE BigData 2024.
- 2024.06: ⭐⭐ Xiao Li presented the work “A Data-driven Approach for Probabilistic Traffic Prediction and Simulation at Signalized Intersections” at 2024 IEEE Intelligent Vehicles Symposium (IV) in Jeju, Korea.
- 2024.04: 🎉🎉 Our paper “An Efficient Semi-Automated Scheme for Infrastructure LiDAR Annotation” has been accepted” has been accepted in IEEE Transactions on Intelligent Transportation Systems.
- 2024.03: 🥇🥇 Congratulations to Xiao Li on being selected as the Gartner Group Graduate Fellowship recipient at UFL!
- 2024.03: ⭐⭐ Xiao Li presented the work “Hybrid Approaches for Data Reduction of Spatiotemporal Scientific Applications” at the DCC Conference in Snowbird, Utah.
- 2024.01: 🎉🎉 Our work “Hybrid Approaches for Data Reduction of Spatiotemporal Scientific Applications” has been accepted in Data Compression Conference.
- 2023.07: 🎉🎉 Our paper “A Spatiotemporal Correspondence Approach to Unsupervised LiDAR Segmentation with Traffic Applications” has been accepted in IEEE Intelligent Transportation Systems Conference.
- 2023.05: 🎉🎉 Our work “Computer-aided autism spectrum disorder diagnosis with behavior signal processing” has been accepted in IEEE Transactions on Affective Computing.
- 2023.03: 🎉🎉 Our paper “An Efficient Semi-Automated Scheme for LiDAR Annotation and A Benchmark Infrastructure Dataset” has been accepted in ICLR ML4IoT.
- 2022.11: 🎉🎉 Our paper “Accurate Head Pose Estimation Using Image Rectification and A Lightweight Convolutional Neural Network” has been accepted in IEEE Transactions on Multimedia.
- 2021.09: 🎉🎉 Our paper “Concurrent Two-factor Identify Verification Using Facial Identify and Facial Actions” has been accepted in Electronic Imaging.
📖 Education
University of Florida
- Ph.D. Student in Computer Science
- Advisor: Prof. Ranka Sanjay, Co-advised by Prof. Anand Rangarajan
- 2021.08 - Present
Sun Yat-sen University
- M.S. in Electronics and Communication, Outstanding Graduate
- Prof. Dong Zhang
- 2018.08 - 2020.08
Sun Yat-sen University
- B.S. in Communication Engineering
- 2014.08 - 2018.08
📝 Publications
Machine Learning Method for Data Compression with Guaranteed Error Bound
Title: Attention Based Machine Learning Methods for Data Reduction with Guaranteed Error Bounds
Authors: Xiao Li, Jaemoon Lee, Anand Rangarajan, Sanjay Ranka
Published in: IEEE International Conference on Big Data 2024
Authors: Xiao Li, Jaemoon Lee, Anand Rangarajan, Sanjay Ranka
Published in: IEEE International Conference on Big Data 2024
Title: Hybrid Approaches for Data Reduction of Spatiotemporal Scientific Applications
Authors: Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka
Published in: Data Compression Conference 2024
Authors: Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka
Published in: Data Compression Conference 2024
Title: Machine Learning Techniques for Data Reduction of Climate Applications
Authors: Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka
Published in: Under Review of AAAI 2025
Authors: Xiao Li, Qian Gong, Jaemoon Lee, Scott Klasky, Anand Rangarajan, Sanjay Ranka
Published in: Under Review of AAAI 2025
Title: Machine Learning Techniques for Data Reduction of CFD Applications
Authors: Jaemoon Lee, Ki Sung Jung, Qian Gong, Xiao Li, Scott Klasky, Jacqueline Chen, Anand Rangarajan, Sanjay Ranka
Published in: Under Review of The International Conference on Contemporary Computing (I3C) 2025
Authors: Jaemoon Lee, Ki Sung Jung, Qian Gong, Xiao Li, Scott Klasky, Jacqueline Chen, Anand Rangarajan, Sanjay Ranka
Published in: Under Review of The International Conference on Contemporary Computing (I3C) 2025
Smart Transportion and Point Cloud Processing
Title: An Efficient Semi-Automated Scheme for Infrastructure Lidar Annotation
Authors: Aotian Wu, Pan He, Xiao Li, Ke Chen, Sanjay Ranka, Anand Rangarajan
Published in: IEEE Transactions on Intelligent Transportation Systems (T-ITS) 2024
Authors: Aotian Wu, Pan He, Xiao Li, Ke Chen, Sanjay Ranka, Anand Rangarajan
Published in: IEEE Transactions on Intelligent Transportation Systems (T-ITS) 2024
Title: A Spatiotemporal Correspondence Approach to Unsupervised LiDAR Segmentation with Traffic Applications
Authors: Xiao Li, Pan He, Aotian Wu, Sanjay Ranka, Anand Rangarajan
Published in: IEEE Intelligent Transportation Systems Conference (ITSC) 2023
Authors: Xiao Li, Pan He, Aotian Wu, Sanjay Ranka, Anand Rangarajan
Published in: IEEE Intelligent Transportation Systems Conference (ITSC) 2023
Title: An Efficient Semi-Automated Scheme for LiDAR Annotation and A Benchmark Infrastructure Dataset
Authors: Aotian Wu, Pan He, Xiao Li, Ke Chen, Sanjay Ranka, Anand Rangarajan
Published in: ML4IoT Workshop@ICLR'2023
Authors: Aotian Wu, Pan He, Xiao Li, Ke Chen, Sanjay Ranka, Anand Rangarajan
Published in: ML4IoT Workshop@ICLR'2023
Advanced Human Pose and Identity Recognition Techniques
Title: Computer-Aided Autism Spectrum Disorder Diagnosis with Behavior Signal Processing
Authors: Ming Cheng, Yingying Zhang, Yixiang Xie, Yueran Pan, Xiao Li, Wenxing Liu, etc.
Published in: Sensors 2018
Authors: Ming Cheng, Yingying Zhang, Yixiang Xie, Yueran Pan, Xiao Li, Wenxing Liu, etc.
Published in: Sensors 2018
Title: Accurate Head Pose Estimation Using Image Rectification and A Lightweight Convolutional Neural Network
Authors: Xiao Li, Dong Zhang, Ming Li, Dah-Jye Lee
Published in: IEEE Transactions on Multimedia 2022
Authors: Xiao Li, Dong Zhang, Ming Li, Dah-Jye Lee
Published in: IEEE Transactions on Multimedia 2022
Title: Concurrent Two-factor Identify Verification Using Facial Identify and Facial Actions
Authors: Zheng Sun, Dah-Jye Lee, Dong Zhang, Xiao Li
Published in: Electronic Imaging 2021
Authors: Zheng Sun, Dah-Jye Lee, Dong Zhang, Xiao Li
Published in: Electronic Imaging 2021
Title: Inverse Piezoresistive Nanocomposite Sensors for Identifying Human Sitting Posture
Authors: Zhe Qian, Anton E Bowden, Dong Zhang, Jia Wan, Wei Liu, Xiao Li, Daniel Baradoy, David T Fullwood
Published in: Sensors 2018
Authors: Zhe Qian, Anton E Bowden, Dong Zhang, Jia Wan, Wei Liu, Xiao Li, Daniel Baradoy, David T Fullwood
Published in: Sensors 2018
📝 Projects
🎖 Honors and Awards
- 2024.05 Gartner Group Graduate Fellowship
- 2020.06 Outstanding Graduate
- 2019.09 First Class Scholarship
- 2018.09 Second Class Scholarship
- 2016.09 MCM/ICM Contest Meritorious Winner
👨💻 Professional Services
Paper Reviewer:
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS) (2024)
- Machine vision and applications (2023)
💻 Internships
- 2020.08 - 2020.12, Duke Kunshan University, China.
- 2019.08 - 2019.12, Duke Kunshan University, China.
📚 Teaching Experience
- CAP6610 Spring 2024 - Machine Learning
- COT5615 Fall 2023 - Math for Intelligent Systems
- COP3530 Fall 2021 - Data Structure and Algorithms