Education
- Ph.D in Computer Science, Arizona State University, 2022
- B.S. in Statistics, University of Science and Technology of China, 2016
Work experience
- Apr 2024-Present: Applied Scientist
- Amazon AGI
- Jan 2023-Apr 2024: Applied Scientist
- Prime Video
- Aug 2021-Dec 2022: Graduate Research Associate
- Arizona State University
- May 2021-Aug 2021: Applied Scientist Intern
- Prime Video
- Aug 2017-May 2021: Graduate Research Associate
- Arizona State University
Skills
- Proficient programming skills with Python, Matlab and R.
- Proficient skills with modern machine learning frameworks, including Pytorch, Tensorflow, Scikit-learn.
- Experiences on large-scale distributed model training and infrastructure management.
- Proven record of developing innovative ML-based solutions to real-world industrial problems.
Publications
- TransUPR: A Transformer-based Plug-and-Play Uncertain Point Refiner for LiDAR Point Cloud Semantic Segmentation
- Enhanced Low-Resolution LiDAR-Camera Calibration via Depth Interpolation and Supervised Contrastive Learning
- Automatic Error Detection in Integrated Circuits Image Segmentation: A Data-Driven Approach
- A Simple and Efficient Method for Dubbed Audio Sync Detection Using Compressive Sensing
- A Data-Driven Approach for Automated Integrated Circuit Segmentation of Scan Electron Microscopy Images
- An Experimental Study on Transferring Data-Driven Image Compressive Sensing to Bioelectric Signals
- OpenICS: Open image compressive sensing toolbox and benchmark
- Cra: A Generic Compression Ratio Adapter for End-To-End Data-Driven Image Compressive Sensing Reconstruction Frameworks
- LAPRAN: A Scalable Laplacian Pyramid Reconstructive Adversarial Network for Flexible Compressive Sensing Reconstruction
Patents
- LAPRAN: a scalable Laplacian pyramid reconstructive adversarial network for flexible compressive sensing reconstruction
- Audio-video synchronization for non-original audio tracks
- Selective sensing: a data-driven nonuniform subsampling approach for computation-free on-sensor data dimensionality reduction
- Generic compression ratio adapter for end-to-end data-driven compressive sensing reconstruction frameworks
- Method for detecting potential errors in digitally segmented images, and a system employing the same