activity
20112024
most citedThinking inside The Box: Learning Hypercube Representations for Group Recommendation

48 citations · 97 across the 14 of their papers we have counts for

collaborators

14 papers

cs.IR2024

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…

cs.CV2024★ 1 cited

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…

cs.IR2024★ 2 cited

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…

cs.CV2023

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…

cs.CV2023

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…

cs.CV2023

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…