Gao, Hongfan
- SSD-TS: Exploring the Potential of Linear State Space Models for Diffusion Models in Time Series Imputation
2024/10/17 by Hongfan Gao, W. H. Shen, Gao, Hongfan +9 · 6 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Time Series Analysis and Forecasting
- MM-Path: Multi-modal, Multi-granularity Path Representation Learning -- Extended Version
2024/11/27 by Ronghui Xu, Xu, Ronghui, Hanyin Cheng +10 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Speech and dialogue systems
- Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report
2022/11/07 by Andrey Ignatov, Ignatov, Andrey, Radu Timofte +188 · 1 citation
Computer Science · Engineering · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image Processing Techniques and Applications #Image and Video Processing (eess.IV) #electronic engineering #information engineering
- K2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
2025/05/29 by Wu, Xingjian, Qiu, Xiangfei, Gao, Hongfan +3 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)