- Technical Talks: NVIDIA GTC 2025, Topic: 'Redefining Visual Experience of Short-form Videos: Accelerating Large Models for Intelligent Video Quality Assessment and Processing by TensorRT-LLM'
- Projects: KVQ Video Quality Evaluation System, QPT Series Algorithms, KEP/KRP Video Processing Algorithms, XPSR/VARSR Enhancement Algorithms, AI Infrastructure Optimization
Research Experience
- Since 2021: Kuaishou Technology, R&D Expert, focusing on enhancing the overall video quality and user experience through algorithms
- 2018-2021: SenseTime Research, Computer Vision and Machine Learning Researcher, improving the accuracy of face recognition and classification in smart city scenarios
Education
- Master's Degree: National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, 2018
- Bachelor's Degree: Beijing University of Posts and Telecommunications (BUPT), 2015
Background
- Research Interests: Visual Content Generation, Video Quality Assessment, Video Enhancement and Restoration, AI Infrastructure
- Professional Field: Artificial Intelligence and Computer Vision
- Short Bio: Currently a Research & Development Expert at Kuaishou Technology, committed to analyzing and improving the quality of Kuaishou videos and enhancing users' experience in live and on-demand scenarios.