Yanwei Yu

Orcid: 0000-0002-5924-1410

According to our database1, Yanwei Yu authored at least 85 papers between 2006 and 2024.

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Bibliography

2024
A Fast and Robust Attention-Free Heterogeneous Graph Convolutional Network.
IEEE Trans. Big Data, October, 2024

MCN4Rec: Multi-level Collaborative Neural Network for Next Location Recommendation.
ACM Trans. Inf. Syst., July, 2024

MHGCN+: Multiplex Heterogeneous Graph Convolutional Network.
ACM Trans. Intell. Syst. Technol., June, 2024

Trajectory-User Linking via Hierarchical Spatio-Temporal Attention Networks.
ACM Trans. Knowl. Discov. Data, May, 2024

Adaptive Spatiotemporal Graph Recurrent Network for Sea Surface Temperature Forecasting.
IEEE Trans. Geosci. Remote. Sens., 2024

DeepWind: a heterogeneous spatio-temporal model for wind forecasting.
Knowl. Based Syst., 2024

Clean affinity matrix induced hyper-Laplacian regularization for unsupervised multi-view feature selection.
Inf. Sci., 2024

Comprehensive multi-view self-representations for clustering.
Expert Syst. Appl., 2024

Multi-Channel Hypergraph Contrastive Learning for Matrix Completion.
CoRR, 2024

Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond.
CoRR, 2024

Dual-Channel Multiplex Graph Neural Networks for Recommendation.
CoRR, 2024

Multi-scale Traffic Pattern Bank for Cross-city Few-shot Traffic Forecasting.
CoRR, 2024

Hierarchical Graph Contrastive Learning for Review-Enhanced Recommendation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Dataset Condensation for Time Series Classification via Dual Domain Matching.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Multi-Relational Graph Attention Network for Social Relationship Inference from Human Mobility Data.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Globally Informed Graph Contrastive Learning for Recommendation.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Efficient Joint Rectification of Photometric and Geometric Distortions in Document Images.
Proceedings of the IEEE International Conference on Acoustics, 2024

MoTTo: Scalable Motif Counting with Time-aware Topology Constraint for Large-scale Temporal Graphs.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Hypergraph Hash Learning for Efficient Trajectory Similarity Computation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Tensor-based consensus learning for incomplete multi-view clustering.
Expert Syst. Appl., December, 2023

Self-supervised contrastive representation learning for large-scale trajectories.
Future Gener. Comput. Syst., November, 2023

OSGNN: Original graph and Subgraph aggregated Graph Neural Network.
Expert Syst. Appl., September, 2023

Session-based recommendation with hypergraph convolutional networks and sequential information embeddings.
Expert Syst. Appl., August, 2023

PreCLN: Pretrained-based contrastive learning network for vehicle trajectory prediction.
World Wide Web (WWW), July, 2023

Dynamic Multi-View Graph Neural Networks for Citywide Traffic Inference.
ACM Trans. Knowl. Discov. Data, May, 2023

Structural regularization based discriminative multi-view unsupervised feature selection.
Knowl. Based Syst., 2023

Robust anomaly detection for multivariate time series through temporal GCNs and attention-based VAE.
Knowl. Based Syst., 2023

Multiplex Heterogeneous Graph Neural Network with Behavior Pattern Modeling.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

DeepNWP4Wind: A Wind Forcasting Correction Solution in View of Multi-Criteria Evaluation.
Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

ST-MoE: Spatio-Temporal Mixture of Experts for Multivariate Time Series Forecasting.
Proceedings of the 18th International Conference on Intelligent Systems and Knowledge Engineering, 2023

Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Graph Structure Learning on User Mobility Data for Social Relationship Inference.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Heterogeneous graph neural network for attribute completion.
Knowl. Based Syst., 2022

Spatio-Temporal Representation Learning with Social Tie for Personalized POI Recommendation.
Data Sci. Eng., 2022

Online Discovery of Evolving Groups over Massive-Scale Trajectory Streams.
CoRR, 2022

Self-supervised Scene Text Segmentation with Object-centric Layered Representations Augmented by Text Regions.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Multiplex Heterogeneous Graph Convolutional Network.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Mutual Distillation Learning Network for Trajectory-User Linking.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Scalable Motif Counting for Large-scale Temporal Graphs.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Cross-Modal Relation and Sketch Prototype Learning for Zero-Shot Sketch-Based Image Retrieval.
Proceedings of the 6th International Conference on Computer Science and Artificial Intelligence, 2022

Citywide Traffic Volume Inference using Traffic Sensing Data with Missing Values.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022

2021
Citywide Traffic Volume Inference with Surveillance Camera Records.
IEEE Trans. Big Data, 2021

Speech Emotion Recognition Based on Robust Discriminative Sparse Regression.
IEEE Trans. Cogn. Dev. Syst., 2021

Motif-Preserving Dynamic Attributed Network Embedding.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Temporal Multi-view Graph Convolutional Networks for Citywide Traffic Volume Inference.
Proceedings of the IEEE International Conference on Data Mining, 2021

Robust End-to-End Offline Chinese Handwriting Text Page Spotter with Text Kernel.
Proceedings of the Document Analysis and Recognition, 2021

Personalized POI Recommendation: Spatio-Temporal Representation Learning with Social Tie.
Proceedings of the Database Systems for Advanced Applications, 2021

Spatiotemporal Representation Learning for Taxi Pick-up Point Recommendation.
Proceedings of the 7th IEEE International Conference on Cloud Computing and Intelligent Systems, 2021

2020
Layer-constrained variational autoencoding kernel density estimation model for anomaly detection.
Knowl. Based Syst., 2020

Scalable KDE-based top-n local outlier detection over large-scale data streams.
Knowl. Based Syst., 2020

Find you if you drive: Inferring home locations for vehicles with surveillance camera data.
Knowl. Based Syst., 2020

Shape-optimizing mesh warping method for stereoscopic panorama stitching.
Inf. Sci., 2020

Ordering-Based Kalman Filter Selective Ensemble for Classification.
IEEE Access, 2020

Student Performance Prediction Based on Multi-view Network Embedding.
Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

Anomaly Detection in High-Dimensional Data Based on Autoregressive Flow.
Proceedings of the Database Systems for Advanced Applications, 2020

Fast Attributed Multiplex Heterogeneous Network Embedding.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Dynamic Representation Learning for Large-Scale Attributed Networks.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference.
Proceedings of the World Wide Web Conference, 2019

2018
Inferring Mobility Relationship via Graph Embedding.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Region compatibility based stability assessment for decision trees.
Expert Syst. Appl., 2018

Modeling Spatial-Temporal Dynamics for Traffic Prediction.
CoRR, 2018

A Parameter Space Framework for Online Outlier Detection Over High-Volume Data Streams.
IEEE Access, 2018

Learning CP-Nets Structure From Preference Data Streams.
IEEE Access, 2018

Representation Learning for Large-Scale Dynamic Networks.
Proceedings of the Database Systems for Advanced Applications, 2018

2017
Outlier Detection over Massive-Scale Trajectory Streams.
ACM Trans. Database Syst., 2017

An effective and efficient hierarchical <i>K</i>-means clustering algorithm.
Int. J. Distributed Sens. Networks, 2017

Discovering Evolving Moving Object Groups from Massive-Scale Trajectory Streams.
Proceedings of the 18th IEEE International Conference on Mobile Data Management, 2017

2016
Cross-corpus speech emotion recognition based on transfer non-negative matrix factorization.
Speech Commun., 2016

Transfer Semi-Supervised Non-Negative Matrix Factorization for Speech Emotion Recognition.
IEICE Trans. Inf. Syst., 2016

Cross-corpus speech emotion recognition using transfer semi-supervised discriminant analysis.
Proceedings of the 10th International Symposium on Chinese Spoken Language Processing, 2016

MR-Swarm: Mining Swarms from Big Spatio-Temporal Trajectories Using MapReduce.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

K*-Means: An Effective and Efficient K-Means Clustering Algorithm.
Proceedings of the 2016 IEEE International Conferences on Big Data and Cloud Computing (BDCloud), 2016

2015
Cludoop: An Efficient Distributed Density-Based Clustering for Big Data Using Hadoop.
Int. J. Distributed Sens. Networks, 2015

2014
Detecting moving object outliers in massive-scale trajectory streams.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Scalable distance-based outlier detection over high-volume data streams.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

2013
RSS Assisted TOA-Based Indoor Geolocation.
Int. J. Wirel. Inf. Networks, 2013

Modelling ranging error of indoor TOA-based position system based on receive signal strength.
Int. J. Sens. Networks, 2013

Online clustering for trajectory data stream of moving objects.
Comput. Sci. Inf. Syst., 2013

2012
Robust localized image watermarking based on invariant regions.
Digit. Signal Process., 2012

A density-based clustering structure mining algorithm for data streams.
Proceedings of the 1st International Workshop on Big Data, 2012

2011
A practical indoor TOA ranging error model for localization algorithm.
Proceedings of the IEEE 22nd International Symposium on Personal, 2011

TGCR: An efficient algorithm for mining swarm in trajectory databases.
Proceedings of the IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, 2011

2006
No-Reference Perceptual Quality Assessment of JPEG Images Using General Regression Neural Network.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Real-time video watermarking based on extended m-sequences.
Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006


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