Publications (9)
Dynamic Self-Distillation via Previous Mini-batches for Fine-tuning Small Language Models
Yao Fu, Yin Yu, Xiaotian Han +4
Knowledge distillation (KD) has become a widely adopted approach for compressing large language models (LLMs) to reduce computational costs and memory footprints. However, the avai…
Expanding the Latent Space of StyleGAN for Real Face Editing
Yin Yu, Ghasedi Kamran, Wu HsiangTao +3
Recently, a surge of face editing techniques have been proposed to employ the pretrained StyleGAN for semantic manipulation. To successfully edit a real image, one must first conve…
PIDGeuN: Graph Neural Network-Enabled Transient Dynamics Prediction of Networked Microgrids Through Full-Field Measurement
Yin Yu, Xinyuan Jiang, Daning Huang +1
A Physics-Informed Dynamic Graph Neural Network (PIDGeuN) is presented to accurately, efficiently and robustly predict the nonlinear transient dynamics of microgrids in the presenc…
Rayleigh-Brillouin scattering in SF in the kinetic regime
Yuanqing Wang, Yin Yu, Kun Liang +3
Rayleigh-Brillouin spectral profiles are measured with a laser-based scatterometry setup for a 90 degrees scattering angle at a high signal-to-noise ratio (r.m.s. noise below 0.15…
Generating Topological Structure of Floorplans from Room Attributes
Yin Yu, Hutchcroft Will, Khosravan Naji +3
Analysis of indoor spaces requires topological information. In this paper, we propose to extract topological information from room attributes using what we call Iterative and adapt…
Learning Koopman Operators with Control Using Bi-level Optimization
Daning Huang, Muhammad Bayu Prasetyo, Yin Yu +1
The accurate modeling and control of nonlinear dynamical effects are crucial for numerous robotic systems. The Koopman formalism emerges as a valuable tool for linear control desig…