ANFluid
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.
Authors
Ph.D. Student in Computer Science
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.