80 citations · 217 across the 7 of their papers we have counts for
7 papers
Contrastive Learning for Recommender System
Zhuang Liu, Yunpu Ma, Yuanxin Ouyang +1
Recommender systems, which analyze users' preference patterns to suggest potential targets, are indispensable in today's society. Collaborative Filtering (CF) is the most popular r…
DR-KFS: A Differentiable Visual Similarity Metric for 3D Shape Reconstruction
Jiongchao Jin, Akshay Gadi Patil, Zhang Xiong +1
We introduce a differential visual similarity metric to train deep neural networks for 3D reconstruction, aimed at improving reconstruction quality. The metric compares two 3D shap…
Understanding Urban Dynamics via Context-aware Tensor Factorization with Neighboring Regularization
Jingyuan Wang, Junjie Wu, Ze Wang +2
Recent years have witnessed the world-wide emergence of mega-metropolises with incredibly huge populations. Understanding residents mobility patterns, or urban dynamics, thus becom…
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,…
Gravitational scaling in Beijing Subway Network
Biao Leng, Yali Cui, Jianyuan Wang +3
Recently, with the availability of various traffic datasets, human mobility has been studied in different contexts. Researchers attempt to understand the collective behaviors of hu…
Word Embedding based Correlation Model for Question/Answer Matching
Yikang Shen, Wenge Rong, Nan Jiang +3
With the development of community based question answering (Q&A) services, a large scale of Q&A archives have been accumulated and are an important information and knowledge resour…
Predictability of road traffic and congestion in urban areas
Jingyuan Wang, Yu Mao, Jing Li +3
Mitigating traffic congestion on urban roads, with paramount importance in urban development and reduction of energy consumption and air pollution, depends on our ability to forese…