48 citations · 97 across the 14 of their papers we have counts for
14 papers
Diffusion-Based Cloud-Edge-Device Collaborative Learning for Next POI Recommendations
Jing Long, Guanhua Ye, Tong Chen +3
The rapid expansion of Location-Based Social Networks (LBSNs) has highlighted the importance of effective next Point-of-Interest (POI) recommendations, which leverage historical ch…
Structure Matters: Tackling the Semantic Discrepancy in Diffusion Models for Image Inpainting
Haipeng Liu, Yang Wang, Biao Qian +2
Denoising diffusion probabilistic models for image inpainting aim to add the noise to the texture of image during the forward process and recover masked regions with unmasked ones…
Lightweight Embeddings for Graph Collaborative Filtering
Xurong Liang, Tong Chen, Lizhen Cui +3
Graph neural networks (GNNs) are currently one of the most performant collaborative filtering methods. Meanwhile, owing to the use of an embedding table to represent each user/item…
Adaptive Data-Free Quantization
Biao Qian, Yang Wang, Richang Hong +1
Data-free quantization (DFQ) recovers the performance of quantized network (Q) without the original data, but generates the fake sample via a generator (G) by learning from full-pr…
Fine-grained Cross-modal Fusion based Refinement for Text-to-Image Synthesis
Haoran Sun, Yang Wang, Haipeng Liu +1
Text-to-image synthesis refers to generating visual-realistic and semantically consistent images from given textual descriptions. Previous approaches generate an initial low-resolu…
Rethinking Data-Free Quantization as a Zero-Sum Game
Biao Qian, Yang Wang, Richang Hong +1
Data-free quantization (DFQ) recovers the performance of quantized network (Q) without accessing the real data, but generates the fake sample via a generator (G) by learning from f…