# Supervised students, * Corresponding author
[IJCAI 2024] "Multi-Relational Graph Attention Network for Social Relationship Inference from Human Mobility Data"New!
Proceddings of the 33rd International Joint Conference on Artificial Intelligence
(CCF A, acceptance rate=*/*=**%)
[TIST 2024] "MHGCN+: Multiplex Heterogeneous Graph Convolutional Network"New!
ACM Transactions on Intelligent Systems and Technology
(Conference Extension, Online)
[TOIS 2024] "MCN4Rec: Multi-Level Collaborative Neural Network for Next Location Recommendation"New!
ACM Transactions on Information Systems, (CCF A, Online)
[TKDD 2024] "Trajectory-User Linking via Hierarchical Spatio-Temporal Attention Networks"New!
ACM Transactions on Knowledge Discovery from Data, (CCF B)
[ISKE 2023] "DeepNWP4Wind: A Wind Forcasting Correction Solution in View of Multi-Criteria Evaluation"
Proceddings of the 18th International Conference on Intelligent System and Knowledge Engineering
(Best Student Paper Reward)
[ISKE 2023] "ST-MoE: Spatio-temporal Mixture of Experts for Multivariate Time Series Forecasting"
Proceddings of the 18th International Conference on Intelligent System and Knowledge Engineering
[CIKM 2023] "Cross-city Few-Shot Traffic Forecasting via Traffic Pattern Bank"
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
(CCF B, acceptance rate=354/1472=24%)
[KDD 2023] "Multiplex Heterogeneous Graph Neural Network with Behavior Pattern Modeling"
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
(CCF A, acceptance rate=313/1416=22.1%)
[KBS 2023] "Robust Anomaly Detection for Multivariate Time Series through Temporal GCNs and Attention-based VAE"
Knowledge-Based Systems, (JCR Q1, CCF C)
[FGCS 2023] "Self-Supervised Contrastive Representation Learning for Large-Scale Trajectories"
Future Generation Computer Systems, (JCR Q1, CCF C)
[KBS 2023] "Structural regularization based discriminative multi-view unsupervised feature selection"
Knowledge-Based Systems, (JCR Q1, CCF C)
[ESWA 2023] "Session-based recommendation with hypergraph convolutional networks and sequential information embeddings"
Expert Systems with Applications 223, (JCR Q1, CCF C)
[ESWA 2023] "OSGNN: Original graph and Subgraph aggregated Graph Neural Network"
Expert Systems with Applications 225, (JCR Q1, CCF C)
[AAAI 2023] "Graph Structure Learning on User Mobility Data for Social Relationship Inference"
Proceedings of Thirty-Seventh AAAI Conference on Artificial Intelligence
(CCF A, acceptance rate=1721/8777=19.6%)
[WWWJ 2023] "PreCLN: Pretrained-based contrastive learning network for vehicle trajectory prediction"
World Wide Web Journal, (CCF B)
[TKDD 2023] "Dynamic Multi-View Graph Neural Networks for Citywide Traffic Inference"
ACM Transactions on Knowledge Discovery from Data, (CCF B)
[KBS 2022] "Heterogeneous Graph Neural Network for Attribute Completion"
Knowledge-Based Systems, (JCR Q1, CCF C)
[KDD 2022] "Multiplex Heterogeneous Graph Convolutional Network"
Proceedings of 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
(CCF A, acceptance rate=254/1695=15%)
[KDD 2022] "Multi-Behavior Hypergraph-Enhanced Transformer for Next-Item Recommendation"
Proceedings of 28th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
(CCF A, acceptance rate=254/1695=15%)
[IJCAI 2022] "Mutual Distillation Learning Network for Trajectory-User Linking"
Proceedings of the 31st International Joint Conference on Artificial Intelligence
(CCF A, acceptance rate=681/4535=15%)
[ICDE 2022] "Scalable Motif Counting for Large-scale Temporal Graphs"
Proceedings of 38th IEEE International Conference on Data Engineering
(CCF A, acceptance rate=211/780=27.1%)
[DSE 2022] "Spatio-Temporal Representation Learning with Social Tie for Personalized POI Recommendation"
Data Science and Engineering, (CCF C)
[TBD 2021] "Citywide Traffic Volume Inference with Surveillance Camera Records"
IEEE Transactions on Big Data, (CCF C)
[ICDM 2021] "Temporal Multi-view Graph Convolutional Networks for Citywide Traffic Volume Inference"
Proceedings of 21st IEEE International Conference on Data Mining
(CCF B, acceptance rate=198/990=20%)
[WWW 2021] "Motif-Preserving Dynamic Attributed Network Embedding"
Proceedings of the Web Conference, (CCF A, acceptance rate=355/1736=20.4%)
[DASFAA 2021] "Personalized POI Recommendation: Spatio-Temporal Representation Learning with Social Ties"
The 26th International Conference on Database System for Advanced Applications
(CCF B, acceptance rate=98/490=20%, 优秀论文)
[CIKM 2020] "Fast Attributed Multiplex Heterogeneous Network Embedding"
Proceedings of the 29th ACM International Conference on Information and Knowledge Management
(CCF B, acceptance rate=194/970=20%)
[CIKM 2020] "Dynamic Representation Learning for Large-Scale Attributed Networks"
Proceedings of the 29th ACM International Conference on Information and Knowledge Management
(CCF B, acceptance rate=194/970=20%)
[PRCV 2020] "Student Performance Prediction based on Multi-View Network Embedding"
3rd Chinese Conference on Pattern Recognition and Computer Vision, (CCF C)
[KBS 2020] "Scalable KDE-based Top-n Local Outlier Detection over Large-Scale Data Streams"
Knowledge-Based Systems, (JCR Q1, CCF C)
[TCDS 2020] "Speech Emotion Recognition Based on Robust Discriminative Sparse Regression"
IEEE Transactions on Cognitive and Developmental Systems
(In press)
[KBS 2020] "Find You If You Drive: Inferring Home Locations for Vehicles with Surveillance Camera Data"
Knowledge-Based Systems, (JCR Q1, CCF C)
[KBS 2020] "Layer-constrained Variational Autoencoding Kernel Density Estimation Model for Anomaly Detection"
Knowledge-Based Systems, (JCR Q1, CCF C)
[DASFAA 2020] "Anomaly Detection in High-dimensional Data Based on Autoregressive Flow"
25th International Conference on Database System for Advanced Applications
(CCF B, acceptance rate=119/487=24.4%)
[IS 2020] "Shape-optimizing mesh warping method for stereoscopic panorama stitching"
Information Sciences, (CCF B)
[IEEE Access 2020] "Ordering-Based Kalman Filter Selective Ensemble for Classification"
IEEE Access
[AAS 2019] "A fast algorithm for density-based Top-n local outlier detection"
Acta Automatica Sinica, (CCF A Chinese Journal)
[WWW 2019] "Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference"
Proceeding of The Web Conference 2019, (CCF A, acceptance rate=225/1247=18%)
[ESWA 2018] "Region Compatibility based Stability Assessment for Decision Trees"
Expert Systems with Applications, (CCF C)
[UbiComp 2018] "Inferring Mobility Relationship using Graph embedding"
The 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing
(CCF A, acceptance rate=24.8%)
[DASFAA 2018] "Representation Learning for Large-scale Dynamic Networks"
23rd International Conference on Database System for Advanced Applications
(CCF B, acceptance rate=83/360=23%)
[ACM TODS 2017] "Outlier Detection over Massive-Scale Trajectory Streams"
ACM Transactions on Database Systems, (CCF A)
[IEEE Access 2018] "A Parameter Space Framework for Online Outlier Detection Over High-Volume Data Streams"
IEEE Access
[JOS 2018] "Fast density-based clustering algorithm for location big data"
Ruan Jian Xue Bao/Journal of Software, (CCF A Chinese Journal)
[JZJU 2018] "Multi-threading based continuous k-nearest neighbor queries for uncertain moving objects"
Journal of Zhejiang University (Engineering Science)
[MDM 2017] "Discovering Moving Object Evolving Groups from Massive Trajectory Streams"
International Conference on Mobile Data Management, (CCF C, acceptance rate=20/75=26.7%)
[IJDSN 2017] "An Effective and Efficient Hierarchical K-means Clustering Algorithm"
International Journal of Distributed Sensor Networks
[IDEAL 2016] "MR-Swarm: Mining Swarms from Big Spatio-Temporal Trajectories using MapReduce"
The 17th International Conference on Intelligent Data Engineering and Automated Learning
[SocialCom 2016] "K*-Means: An Effective and Efficient K-Means Clustering Algorithm"
IEEE International Conference on Social Computing and Networking
[PRAI 2016] "Continuous K-Nearest Neighbor Queries for Uncertain Moving Objects"
Pattern Recognition and Artificial Intelligence, (CCF B Chinese Journal)
[JOS 2015] "Density-based cluster structure mining algorithm for high-volume data streams"
Ruan Jian Xue Bao/Journal of Software, (CCF A Chinese Journal)
[IJDSN 2015] "Cludoop: An Efficient Distributed Density-based Clustering for Big Data using Hadoop"
International Journal of Distributed Sensor Networks
[KDD 2014] "Detecting Moving Object Outliers in Massive-Scale Trajectory Streams"
20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
(CCF A, acceptance rate=151/1036=14.6%)
[ICDE 2014] "Scalable Distance-Based Outlier Detection over High-Volume Data Streams"
2014 IEEE 30th International Conference on Data Engineering
(CCF A, acceptance rate=89/446=20%)
[ICASSP 2018] "Joint Transfer Subspace Learning and Feature Selection for Cross-corpus Speech Emotion Recognition"
International Conference on Acoustics, Speech and Signal Processing, (CCF B)
[SC 2016] "Cross-corpus speech emotion recognition based on transfer non-negative matrix factorization"
Speech Communication, (CCF B)