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Haicheng Tao
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2020 – today
- 2024
- [j15]Jiawei Miao, Haicheng Tao, Haoran Xie, Jianshan Sun
, Jie Cao:
Reconstruction-based anomaly detection for multivariate time series using contrastive generative adversarial networks. Inf. Process. Manag. 61(1): 103569 (2024) - [j14]Haicheng Tao, Jie Cao, Lei Chen, Hong-Liang Sun
, Yong Shi, Xingquan Zhu
:
Black-box attacks on dynamic graphs via adversarial topology perturbations. Neural Networks 171: 308-319 (2024) - 2023
- [j13]Youquan Wang, Jie Cao, Haicheng Tao:
Graph convolutional network with multi-similarity attribute matrices fusion for node classification. Neural Comput. Appl. 35(18): 13135-13145 (2023) - [j12]Lei Chen
, Jie Cao
, Haicheng Tao
, Jia Wu
:
Trip Reinforcement Recommendation with Graph-based Representation Learning. ACM Trans. Knowl. Discov. Data 17(4): 57:1-57:20 (2023) - [j11]Youquan Wang, Zhiwen Dai, Jie Cao, Jia Wu
, Haicheng Tao, Guixiang Zhu:
Intra- and inter-association attention network-enhanced policy learning for social group recommendation. World Wide Web (WWW) 26(1): 71-94 (2023) - [j10]Haicheng Tao, Jiawei Miao, Zhao Li, Zhenyu Zhang, Shuming Feng, Shu Wang, Jie Cao:
HAN-CAD: hierarchical attention network for context anomaly detection in multivariate time series. World Wide Web (WWW) 26(5): 2785-2800 (2023) - 2022
- [j9]Weichao Liang, Youquan Wang, Haicheng Tao, Jie Cao:
Towards hour-level crime prediction: A neural attentive framework with spatial-temporal-categorical fusion. Neurocomputing 486: 286-297 (2022) - [j8]Jie Cao
, Yuyao Wang
, Zhan Bu
, Youquan Wang
, Haicheng Tao, Guixiang Zhu:
Compactness Preserving Community Computation Via a Network Generative Process. IEEE Trans. Emerg. Top. Comput. Intell. 6(5): 1044-1056 (2022) - [j7]Jie Cao
, Youquan Wang
, Haicheng Tao
, Xiang Guo
:
Sensor-based Human Activity Recognition Using Graph LSTM and Multi-task Classification Model. ACM Trans. Multim. Comput. Commun. Appl. 18(3s): 139:1-139:19 (2022) - [c8]Xinhao Wang, Huiju Zhao, Youquan Wang
, Haicheng Tao
, Jie Cao
:
Supervised Prototypical Variational Autoencoder for Shilling Attack Detection in Recommender Systems. DMBD (2) 2022: 231-245 - [c7]Zhenyu Zhang, Zhao Li, Dongyang Cai, Shuming Feng, Jiawei Miao, Yirun Guan, Haicheng Tao, Jie Cao:
Time Series Anomaly Detection for Smart Grids via Multiple Self-Supervised Tasks Learning. ICKG 2022: 392-397 - [c6]Jiangnan Tang, Youquan Wang, Jie Cao, Haicheng Tao, Guixiang Zhu:
Inter- and Intra-Graph Attention Aggregation Learning for Multi-relational GNN Spam Detection. ITQM 2022: 1522-1530 - 2021
- [j6]Lei Chen
, Jie Cao, Huanhuan Chen, Weichao Liang, Haicheng Tao, Guixiang Zhu:
Attentive multi-task learning for group itinerary recommendation. Knowl. Inf. Syst. 63(7): 1687-1716 (2021) - [j5]Jie Cao
, Youquan Wang
, Jing He
, Weichao Liang, Haicheng Tao, Guixiang Zhu:
Predicting Grain Losses and Waste Rate Along the Entire Chain: A Multitask Multigated Recurrent Unit Autoencoder Based Method. IEEE Trans. Ind. Informatics 17(6): 4390-4400 (2021) - 2020
- [j4]Jorge Agnese, Jonathan Herrera, Haicheng Tao, Xingquan Zhu
:
A survey and taxonomy of adversarial neural networks for text-to-image synthesis. WIREs Data Mining Knowl. Discov. 10(4) (2020) - [c5]Xiang Guo, Youquan Wang, Kaiyuan Gao, Jie Cao, Haicheng Tao, Chaoyue Chen:
Integrating Bi-Dynamic Routing Capsule Network with Label-Constraint for Text classification. ICKG 2020: 4-11
2010 – 2019
- 2019
- [j3]Haicheng Tao, Zhe Li
, Zhiang Wu
, Jie Cao
:
Link communities detection: an embedding method on the line hypergraph. Neurocomputing 367: 46-54 (2019) - [i1]Jorge Agnese, Jonathan Herrera, Haicheng Tao, Xingquan Zhu:
A Survey and Taxonomy of Adversarial Neural Networks for Text-to-Image Synthesis. CoRR abs/1910.09399 (2019) - 2018
- [j2]Zhan Bu, Jie Cao
, Huijia Li
, Guangliang Gao, Haicheng Tao:
GLEAM: a graph clustering framework based on potential game optimization for large-scale social networks. Knowl. Inf. Syst. 55(3): 741-770 (2018) - [r2]Guandong Xu, Zhiang Wu, Jie Cao, Haicheng Tao:
Models for Community Dynamics. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2017
- [b1]Xingquan Zhu, Haicheng Tao, Zhiang Wu, Jie Cao, Kristopher Kalish, Jeremy Kayne:
Fraud Prevention in Online Digital Advertising. Springer Briefs in Computer Science, Springer 2017, ISBN 978-3-319-56792-1, pp. 1-51 - [c4]Xingquan Zhu
, Jose Hurtado, Haicheng Tao:
Localized sampling for hospital re-admission prediction with imbalanced sample distributions. IJCNN 2017: 4571-4578 - 2014
- [c3]Haicheng Tao, Zhiang Wu, Jin Shi, Jie Cao
, Xiaofeng Yu:
Overlapping Community Extraction: A Link Hypergraph Partitioning Based Method. IEEE SCC 2014: 123-130 - [r1]Guandong Xu, Zhiang Wu, Jie Cao, Haicheng Tao:
Models for Community Dynamics. Encyclopedia of Social Network Analysis and Mining 2014: 969-982 - 2013
- [j1]Zhiang Wu, Jie Cao
, Haicheng Tao, Yi Zhuang:
A novel noise filter based on interesting pattern mining for bag-of-features images. Expert Syst. Appl. 40(18): 7555-7561 (2013) - [c2]Youquan Wang, Haicheng Tao, Jie Cao
, Zhiang Wu:
Understanding User Behavior through URL Analysis in Sina Tweets. WISE Workshops 2013: 98-108 - [c1]Zhiang Wu, Haicheng Tao, Youquan Wang, Changjian Fang, Jie Cao:
A Cloud System for Community Extraction from Super-Large Scale Social Networks. WISE (2) 2013: 499-502
Coauthor Index
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last updated on 2024-08-05 21:23 CEST by the dblp team
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