Yingqi Jie

CV

Sun, 17 May 2026 00:00:00 +0000

简历

Sun, 17 May 2026 00:00:00 +0000

audio-output-guard

Sat, 16 May 2026 00:00:00 +0000

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

This project is included as a small engineering-tools signal: practical, local utility code outside the main research stack.

音频输出守卫工具

Sat, 16 May 2026 00:00:00 +0000

一个用于监控和控制音频输出行为的 macOS Swift 小工具。

这个项目作为小型工程工具展示，体现研究主线之外的实用工具开发能力。

remote-server-toolkit

Sun, 10 May 2026 00:00:00 +0000

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

The toolkit supports remote experiment workflows where tasks need to be launched, inspected, and controlled without relying on interactive terminal state.

远程服务器实验工具箱

Sun, 10 May 2026 00:00:00 +0000

一个基于 tmux 的远程实验管理工具，面向 AI 友好的非交互式任务管理。

这个工具用于支持远程实验工作流，让任务可以在不依赖交互式终端状态的情况下被启动、查看和控制。

sys-research-toolkit

Wed, 08 Apr 2026 00:00:00 +0000

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

This project supports repeatable systems experiments by collecting practical command-line tooling around Linux, kernel workflows, and performance measurement.

系统研究工具箱

Wed, 08 Apr 2026 00:00:00 +0000

面向 Linux 系统研究、内核实验和性能分析的一组 shell 脚本与实用工具。

这个项目用于支持可复现的系统实验，将 Linux、内核工作流和性能测量中常用的命令行工具整理到一起。

Microkernel and OS experiments

Wed, 17 Sep 2025 00:00:00 +0000

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

This area includes original systems tooling alongside careful study and experimentation with forked or reference projects such as CXLOS, Amkos, lionsos, seL4, pmbench, and lkp-tests. Forked repositories are treated as research context rather than claimed as original projects.

微内核与操作系统实验

Wed, 17 Sep 2025 00:00:00 +0000

围绕微内核操作系统、用户态系统组件和性能导向 OS 研究基础设施的实验与学习。

这一方向包括原创系统工具，也包括对 CXLOS、Amkos、lionsos、seL4、pmbench 和 lkp-tests 等 fork 或参考项目的研究与实验。fork 仓库在这里作为研究上下文呈现，不写作原创项目。

ANFluid

Mon, 28 Oct 2024 00:00:00 +0000

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

ANFluid is the main publication-backed graphics + AI project on this site. It connects prior graphics research experience with implementation-oriented research work.

ANFluid

Mon, 28 Oct 2024 00:00:00 +0000

ACM MM 2024 工作，研究如何通过物理感知模拟和双流纹理学习生成自然流体照片动画。

ANFluid 是这个网站上主要的图形学 + AI 论文项目，体现了我本科阶段在图形学研究和研究实现方面的积累。

ANFluid: Animate Natural Fluid Photos base on Physics-Aware Simulation and Dual-Flow Texture Learning

Mon, 28 Oct 2024 00:00:00 +0000

ANFluid focuses on animating natural fluid photos from a single static input. It combines a physics-aware simulation module for physically plausible motion with dual-flow texture learning for improved texture prediction and content alignment.

Citation: Xiangcheng Zhai, Yingqi Jie, Xueguang Xie, Aimin Hao, Na Jiang, and Yang Gao. 2024. ANFluid: Animate Natural Fluid Photos base on Physics-Aware Simulation and Dual-Flow Texture Learning. In Proceedings of the 32nd ACM International Conference on Multimedia (MM ‘24). Association for Computing Machinery, New York, NY, USA, 3323–3331.

ANFluid: 基于物理感知模拟与双流纹理学习的自然流体照片动画生成

Mon, 28 Oct 2024 00:00:00 +0000

ANFluid 关注如何从单张静态自然流体图片生成动态动画。方法结合了用于物理合理运动建模的物理感知模拟，以及用于提升纹理预测和内容对齐的双流纹理学习。

引用信息：Xiangcheng Zhai, Yingqi Jie, Xueguang Xie, Aimin Hao, Na Jiang, and Yang Gao. 2024. ANFluid: Animate Natural Fluid Photos base on Physics-Aware Simulation and Dual-Flow Texture Learning. In Proceedings of the 32nd ACM International Conference on Multimedia (MM ‘24). Association for Computing Machinery, New York, NY, USA, 3323–3331.

Graphics research prototypes

Thu, 08 Aug 2024 00:00:00 +0000

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

This group includes original graphics implementation work and study around Gaussian Splatting reference implementations. Forked repositories are used as research context when relevant.

图形学研究原型

Thu, 08 Aug 2024 00:00:00 +0000

与渲染管线、Gaussian Splatting 和图形学研究原型实现相关的实验。

这一组包括图形学相关原创实现，也包括围绕 Gaussian Splatting 参考实现的学习和实验。fork 仓库只作为相关研究上下文呈现。