Haicheng Tao

Orcid: 0000-0002-1286-2578

According to our database1, Haicheng Tao authored at least 25 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Reconstruction-based anomaly detection for multivariate time series using contrastive generative adversarial networks.
Inf. Process. Manag., January, 2024

2023
HAN-CAD: hierarchical attention network for context anomaly detection in multivariate time series.
World Wide Web (WWW), September, 2023

Graph convolutional network with multi-similarity attribute matrices fusion for node classification.
Neural Comput. Appl., June, 2023

Trip Reinforcement Recommendation with Graph-based Representation Learning.
ACM Trans. Knowl. Discov. Data, May, 2023

Intra- and inter-association attention network-enhanced policy learning for social group recommendation.
World Wide Web (WWW), January, 2023

2022
Sensor-based Human Activity Recognition Using Graph LSTM and Multi-task Classification Model.
ACM Trans. Multim. Comput. Commun. Appl., 2022

Compactness Preserving Community Computation Via a Network Generative Process.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Towards hour-level crime prediction: A neural attentive framework with spatial-temporal-categorical fusion.
Neurocomputing, 2022

Inter- and Intra-Graph Attention Aggregation Learning for Multi-relational GNN Spam Detection.
Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022

Time Series Anomaly Detection for Smart Grids via Multiple Self-Supervised Tasks Learning.
Proceedings of the IEEE International Conference on Knowledge Graph, 2022

Supervised Prototypical Variational Autoencoder for Shilling Attack Detection in Recommender Systems.
Proceedings of the Data Mining and Big Data - 7th International Conference, 2022

2021
Predicting Grain Losses and Waste Rate Along the Entire Chain: A Multitask Multigated Recurrent Unit Autoencoder Based Method.
IEEE Trans. Ind. Informatics, 2021

Attentive multi-task learning for group itinerary recommendation.
Knowl. Inf. Syst., 2021

2020
A survey and taxonomy of adversarial neural networks for text-to-image synthesis.
WIREs Data Mining Knowl. Discov., 2020

Integrating Bi-Dynamic Routing Capsule Network with Label-Constraint for Text classification.
Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

2019
Link communities detection: an embedding method on the line hypergraph.
Neurocomputing, 2019

2018
Models for Community Dynamics.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

GLEAM: a graph clustering framework based on potential game optimization for large-scale social networks.
Knowl. Inf. Syst., 2018

2017
Fraud Prevention in Online Digital Advertising
Springer Briefs in Computer Science, Springer, ISBN: 978-3-319-56792-1, 2017

Localized sampling for hospital re-admission prediction with imbalanced sample distributions.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2014
Models for Community Dynamics.
Encyclopedia of Social Network Analysis and Mining, 2014

Overlapping Community Extraction: A Link Hypergraph Partitioning Based Method.
Proceedings of the IEEE International Conference on Services Computing, SCC 2014, Anchorage, AK, USA, June 27, 2014

2013
A novel noise filter based on interesting pattern mining for bag-of-features images.
Expert Syst. Appl., 2013

A Cloud System for Community Extraction from Super-Large Scale Social Networks.
Proceedings of the Web Information Systems Engineering - WISE 2013, 2013

Understanding User Behavior through URL Analysis in Sina Tweets.
Proceedings of the Web Information Systems Engineering - WISE 2013 Workshops, 2013


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