Yingqi Jie

Yingqi Jie

Ph.D. Student in Computer Science

Shanghai Jiao Tong University

Professional Summary

Yingqi Jie is a Ph.D. student at Shanghai Jiao Tong University, advised by Prof. Linpeng Huang and Prof. Sheng’an Zheng. His current work focuses on Linux kernel memory management, memory tiering, NUMA-aware page migration, and evidence-driven systems performance analysis, with prior research experience in microkernel-based operating systems, computer graphics, and AI.

Education

Ph.D. Candidate in Computer Science

2025-09-01
2030-06-30

Shanghai Jiao Tong University

B.S. in Software Engineering

2021-09-01
2025-06-30

Beijing Institute of Technology

Research Interests

Linux kernel memory management Memory tiering and NUMA-aware page migration Systems performance analysis Research engineering tools
Research Focus

My current work focuses on Linux kernel memory management and systems performance, especially memory tiering, NUMA-aware page migration, and evidence-driven analysis of kernel behavior.

Before this current line of work, I explored microkernel-based system architectures as a senior-year operating systems project. During my undergraduate studies, I also worked at the intersection of computer graphics and AI, including physics-aware animation and rendering-related implementation.

Selected Highlights

Systems Research

Linux kernel memory-management experiments, NUMA-aware page migration, performance tooling, and infrastructure for repeatable systems research.

Graphics + AI

ANFluid and related undergraduate work on physics-aware visual generation and graphics research prototypes.

Engineering Tools

Practical tools for remote experiments, automation, Claude Code, and developer workflows that support research iteration.

Publications
Selected Projects

Systems, graphics + AI, and engineering tools selected for research and implementation signal.

audio-output-guard

A macOS Swift utility for monitoring and controlling audio output behavior.

remote-server-toolkit

A tmux-based remote experiment management toolkit designed for AI-friendly, non-interactive task management.

sys-research-toolkit

A curated collection of shell scripts and utilities for Linux systems research, kernel experimentation, and performance analysis.

Microkernel and OS experiments

Experiments and study around microkernel-based operating systems, user-space system components, and performance-oriented OS research infrastructure.

ANFluid

ACM MM 2024 research on animating natural fluid photos using physics-aware simulation and dual-flow texture learning.

Graphics research prototypes

Graphics experiments related to rendering pipelines, Gaussian Splatting, and research-prototype implementation.

Contact
I am reachable by email. You can also find my work on GitHub, Google Scholar, and ORCID.