28 citations · 39 across the 11 of their papers we have counts for
11 papers
Beyond Long-Tail POIs: Transition-Centered Modeling for Human Mobility Prediction
Dingyang Lyu, Zhengjia Xu, Jey Han Lau +1
Human mobility prediction, a core task of location-based web services, forecasts a user's next Point of Interest (POI) visit from historical trajectories, supporting applications f…
Fake News Detection Through Graph-based Neural Networks: A Survey
Shuzhi Gong, Richard O. Sinnott, Jianzhong Qi +1
The popularity of online social networks has enabled rapid dissemination of information. People now can share and consume information much more rapidly than ever before. However, l…
Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization
Rongxin Zhu, Jianzhong Qi, Jey Han Lau
A series of datasets and models have been proposed for summaries generated for well-formatted documents such as news articles. Dialogue summaries, however, have been under explored…
Compressed Heterogeneous Graph for Abstractive Multi-Document Summarization
Miao Li, Jianzhong Qi, Jey Han Lau
Multi-document summarization (MDS) aims to generate a summary for a number of related documents. We propose HGSUM, an MDS model that extends an encoder-decoder architecture, to inc…
CHGNN: A Semi-Supervised Contrastive Hypergraph Learning Network
Yumeng Song, Yu Gu, Tianyi Li +4
Hypergraphs can model higher-order relationships among data objects that are found in applications such as social networks and bioinformatics. However, recent studies on hypergraph…
INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging
Chuanpan Zheng, Xiaoliang Fan, Cheng Wang +3
Spatio-temporal kriging is an important problem in web and social applications, such as Web or Internet of Things, where things (e.g., sensors) connected into a web often come with…
WISK: A Workload-aware Learned Index for Spatial Keyword Queries
Yufan Sheng, Xin Cao, Yixiang Fang +4
Spatial objects often come with textual information, such as Points of Interest (POIs) with their descriptions, which are referred to as geo-textual data. To retrieve such data, sp…
FedGS: Federated Graph-based Sampling with Arbitrary Client Availability
Zheng Wang, Xiaoliang Fan, Jianzhong Qi +4
While federated learning has shown strong results in optimizing a machine learning model without direct access to the original data, its performance may be hindered by intermittent…
Contrastive Trajectory Similarity Learning with Dual-Feature Attention
Yanchuan Chang, Jianzhong Qi, Yuxuan Liang +1
Trajectory similarity measures act as query predicates in trajectory databases, making them the key player in determining the query results. They also have a heavy impact on the qu…
A Graph and Attentive Multi-Path Convolutional Network for Traffic Prediction
Jianzhong Qi, Zhuowei Zhao, Egemen Tanin +3
Traffic prediction is an important and yet highly challenging problem due to the complexity and constantly changing nature of traffic systems. To address the challenges, we propose…
PeerSum: A Peer Review Dataset for Abstractive Multi-document Summarization
Miao Li, Jianzhong Qi, Jey Han Lau
We present PeerSum, a new MDS dataset using peer reviews of scientific publications. Our dataset differs from the existing MDS datasets in that our summaries (i.e., the meta-review…