activity
20142022
most citedSelf-Guided Learning to Denoise for Robust Recommendation

78 citations · 178 across the 14 of their papers we have counts for

collaborators
Showing 2020Show all

7 papers · 1 filter

cs.LG2020★ 2 cited

Crowding Prediction of In-Situ Metro Passengers Using Smart Card Data

Xiancai Tian, Chen Zhang, Baihua Zheng

The metro system is playing an increasingly important role in the urban public transit network, transferring a massive human flow across space everyday in the city. In recent years…

cs.LG2020

Probabilistic Value Selection for Space Efficient Model

Gunarto Sindoro Njoo, Baihua Zheng, Kuo-Wei Hsu +1

An alternative to current mainstream preprocessing methods is proposed: Value Selection (VS). Unlike the existing methods such as feature selection that removes features and instan…

physics.soc-ph2020★ 1 cited

TRIPDECODER: Study Travel Time Attributes and Route Preferences of Metro Systems from Smart Card Data

Xiancai Tian, Baihua Zheng, Yazhe Wang +2

In this paper, we target at recovering the exact routes taken by commuters inside a metro system that arenot captured by an Automated Fare Collection (AFC) system and hence remain…

cs.DB2020★ 7 cited

KGClean: An Embedding Powered Knowledge Graph Cleaning Framework

Congcong Ge, Yunjun Gao, Honghui Weng +3

The quality assurance of the knowledge graph is a prerequisite for various knowledge-driven applications. We propose KGClean, a novel cleaning framework powered by knowledge graph…

cs.HC2020

CrowdTSC: Crowd-based Neural Networks for Text Sentiment Classification

Keyu Yang, Yunjun Gao, Lei Liang +3

Sentiment classification is a fundamental task in content analysis. Although deep learning has demonstrated promising performance in text classification compared with shallow model…

cs.SI2020★ 5 cited

Bus Frequency Optimization: When Waiting Time Matters in User Satisfaction

Songsong Mo, Zhifeng Bao, Baihua Zheng +1

Reorganizing bus frequency to cater for the actual travel demand can save the cost of the public transport system significantly. Many, if not all, existing studies formulate this a…

cs.CV2020★ 1 cited

DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction using Aerial Images and Trajectories

Hao Wu, Hanyuan Zhang, Xinyu Zhang +3

Automatic map extraction is of great importance to urban computing and location-based services. Aerial image and GPS trajectory data refer to two different data sources that could…