activity
20182023
most citedUnderstanding Urban Dynamics via Context-aware Tensor Factorization with Neighboring Regularization

75 citations · 183 across the 22 of their papers we have counts for

collaborators
Showing 2018Show all

6 papers · 1 filter

cs.CV2018★ 10 cited

In Defense of Single-column Networks for Crowd Counting

Ze Wang, Zehao Xiao, Kai Xie +3

Crowd counting usually addressed by density estimation becomes an increasingly important topic in computer vision due to its widespread applications in video surveillance, urban pl…

cs.CV2018★ 71 cited

LaneNet: Real-Time Lane Detection Networks for Autonomous Driving

Ze Wang, Weiqiang Ren, Qiang Qiu

Lane detection is to detect lanes on the road and provide the accurate location and shape of each lane. It severs as one of the key techniques to enable modern assisted and autonom…

cs.LG2018★ 7 cited

Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis

Jingyuan Wang, Ze Wang, Jianfeng Li +1

Recent years have witnessed the unprecedented rising of time series from almost all kindes of academic and industrial fields. Various types of deep neural network models have been…

cs.IR2018

Leveraging Social Signal to Improve Item Recommendation for Matrix Factorization

Ze Wang, Hong Li

Although Recommender Systems have been comprehensively studied in the past decade both in industry and academia, most of current recommender systems suffer from the following issue…

cs.CY2018★ 3 cited

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,…

cs.LG2018★ 2 cited

The Structure Transfer Machine Theory and Applications

Baochang Zhang, Lian Zhuo, Ze Wang +2

Representation learning is a fundamental but challenging problem, especially when the distribution of data is unknown. We propose a new representation learning method, termed Struc…