41 citations · 117 across the 7 of their papers we have counts for
7 papers
MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation
Ludan Ruan, Yiyang Ma, Huan Yang +6
We propose the first joint audio-video generation framework that brings engaging watching and listening experiences simultaneously, towards high-quality realistic videos. To genera…
Knowledge-based Review Generation by Coherence Enhanced Text Planning
Junyi Li, Wayne Xin Zhao, Zhicheng Wei +2
As a natural language generation task, it is challenging to generate informative and coherent review text. In order to enhance the informativeness of the generated text, existing s…
Read, Retrospect, Select: An MRC Framework to Short Text Entity Linking
Yingjie Gu, Xiaoye Qu, Zhefeng Wang +3
Entity linking (EL) for the rapidly growing short text (e.g. search queries and news titles) is critical to industrial applications. Most existing approaches relying on adequate co…
Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network
Junyi Li, Siqing Li, Wayne Xin Zhao +4
Personalized review generation (PRG) aims to automatically produce review text reflecting user preference, which is a challenging natural language generation task. Most of previous…
Integrating Graph Contextualized Knowledge into Pre-trained Language Models
Bin He, Di Zhou, Jinghui Xiao +4
Complex node interactions are common in knowledge graphs, and these interactions also contain rich knowledge information. However, traditional methods usually treat a triple as a t…
CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident Recognition
Jingyuan Wang, Xu He, Ze Wang +4
Driven by the wave of urbanization in recent decades, the research topic about migrant behavior analysis draws great attention from both academia and the government. Nevertheless,…
Indigenization of Urban Mobility
Zimo Yang, Defu Lian, Nicholas Jing Yuan +3
The identification of urban mobility patterns is very important for predicting and controlling spatial events. In this study, we analyzed millions of geographical check-ins crawled…