activity
20082023
most citedBootstrap Latent Representations for Multi-modal Recommendation

290 citations · 1.4k across the 86 of their papers we have counts for

collaborators

88 papers

cs.CV2023★ 1 cited

StarNet: Style-Aware 3D Point Cloud Generation

Yunfan Zhang, Hao Wang, Guosheng Lin +3

This paper investigates an open research task of reconstructing and generating 3D point clouds. Most existing works of 3D generative models directly take the Gaussian prior as inpu…

cs.CL2023★ 6 cited

Can ChatGPT Assess Human Personalities? A General Evaluation Framework

Haocong Rao, Cyril Leung, Chunyan Miao

Large Language Models (LLMs) especially ChatGPT have produced impressive results in various areas, but their potential human-like psychology is still largely unexplored. Existing w…

cs.CV2022

Towards Counterfactual Image Manipulation via CLIP

Yingchen Yu, Fangneng Zhan, Rongliang Wu +6

Leveraging StyleGAN's expressivity and its disentangled latent codes, existing methods can achieve realistic editing of different visual attributes such as age and gender of facial…

cs.IR2022★ 2 cited

Layer-refined Graph Convolutional Networks for Recommendation

Xin Zhou, Donghui Lin, Yong Liu +1

Recommendation models utilizing Graph Convolutional Networks (GCNs) have achieved state-of-the-art performance, as they can integrate both the node information and the topological…

cs.IR2022★ 290 cited

Bootstrap Latent Representations for Multi-modal Recommendation

Xin Zhou, Hongyu Zhou, Yong Liu +5

This paper studies the multi-modal recommendation problem, where the item multi-modality information (e.g., images and textual descriptions) is exploited to improve the recommendat…

cs.IR2022★ 2 cited

Minimalist and High-performance Conversational Recommendation with Uncertainty Estimation for User Preference

Yinan Zhang, Boyang Li, Yong Liu +2

Conversational recommendation system (CRS) is emerging as a user-friendly way to capture users' dynamic preferences over candidate items and attributes. Multi-shot CRS is designed…