Professional Summary
Jeff XING is an Engineer in AI at AMD. He builds high-performance LLM and multimodal inference systems for agentic AI applications. His broader work spans distributed serving, computer vision, robotics, and image processing, with a focus on turning research ideas into reliable products.
Education
Master of Computing
2019-01-01
2020-01-01
National University of Singapore
Bachelor of Engineering (Electrical Engineering)
2012-09-01
2016-06-01
Beihang University
Interests
LLM and multimodal inference
Agentic and distributed AI systems
Inference optimization and scalable serving
Computer vision, 3D vision, and robotics
ISP, AIISP, and computational photography
Focus areas
I work across two connected layers of intelligent systems:
- AI inference: LLM and multimodal serving, agentic workflows, distributed execution, and performance optimization across heterogeneous hardware.
- Visual intelligence: computer vision, 3D sensing and reconstruction, robotics, ISP/AIISP, and computational photography.
My goal is to make intelligent systems faster, more capable, and dependable in real-world environments.
Publications & Patents
(2026).
A Light Source Estimation Method by ***.
WIPO Patent Application No. ***.
(2026).
Shading Correction Method by ***.
WIPO Patent Application No. ***.
(2026).
Tone Mapping Method for ***.
WIPO Patent Application No. ***.
(2026).
WFOV Rendering Method by ***.
WIPO Patent Application No. ***.
(2025).
*** based Autoexposure and Tone Mapping Method.
WIPO Patent Application No. ***.