Jingchao Ni
Title
Cited by
Cited by
Year
A deep neural network for unsupervised anomaly detection and diagnosis in multivariate time series data
C Zhang, D Song, Y Chen, X Feng, C Lumezanu, W Cheng, J Ni, B Zong, ...
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 1409-1416, 2019
1172019
Flexible and robust multi-network clustering
J Ni, H Tong, W Fan, X Zhang
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
462015
Inside the atoms: ranking on a network of networks
J Ni, H Tong, W Fan, X Zhang
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
462014
Co-regularized deep multi-network embedding
J Ni, S Chang, X Liu, W Cheng, H Chen, D Xu, X Zhang
Proceedings of the 2018 World Wide Web Conference, 469-478, 2018
352018
Disease gene prioritization by integrating tissue-specific molecular networks using a robust multi-network model
J Ni, M Koyuturk, H Tong, J Haines, R Xu, X Zhang
BMC bioinformatics 17 (1), 1-13, 2016
272016
Heterogeneous Graph Matching Networks
S Wang, Z Chen, X Yu, D Li, J Ni, LA Tang, J Gui, Z Li, H Chen, PS Yu
arXiv preprint arXiv:1910.08074, 2019
192019
Robust graph representation learning via neural sparsification
C Zheng, B Zong, W Cheng, D Song, J Ni, W Yu, H Chen, W Wang
International Conference on Machine Learning, 11458-11468, 2020
152020
Many heads are better than one: Local community detection by the multi-walker chain
Y Bian, J Ni, W Cheng, X Zhang
2017 IEEE International Conference on Data Mining (ICDM), 21-30, 2017
142017
Adversarial defense framework for graph neural network
S Wang, Z Chen, J Ni, X Yu, Z Li, H Chen, PS Yu
arXiv preprint arXiv:1905.03679, 2019
112019
Adaptive neural network for node classification in dynamic networks
D Xu, W Cheng, D Luo, Y Gu, X Liu, J Ni, B Zong, H Chen, X Zhang
2019 IEEE International Conference on Data Mining (ICDM), 1402-1407, 2019
102019
Attentional heterogeneous graph neural network: Application to program reidentification
S Wang, Z Chen, D Li, Z Li, LA Tang, J Ni, J Rhee, H Chen, PS Yu
Proceedings of the 2019 SIAM International Conference on Data Mining, 693-701, 2019
92019
Self-grouping multi-network clustering
J Ni, W Cheng, W Fan, X Zhang
2016 IEEE 16th International Conference on Data Mining (ICDM), 1119-1124, 2016
92016
Automated medical diagnosis by ranking clusters across the symptom-disease network
J Ni, H Fei, W Fan, X Zhang
2017 IEEE International Conference on Data Mining (ICDM), 1009-1014, 2017
82017
Inductive and Unsupervised Representation Learning on Graph Structured Objects.
L Wang, B Zong, Q Ma, W Cheng, J Ni, W Yu, Y Liu, D Song, H Chen, ...
ICLR, 2020
62020
Ranking causal anomalies for system fault diagnosis via temporal and dynamical analysis on vanishing correlations
W Cheng, J Ni, K Zhang, H Chen, G Jiang, Y Shi, X Zhang, W Wang
ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (4), 1-28, 2017
62017
Cross-network clustering and cluster ranking for medical diagnosis
J Ni, H Fei, W Fan, X Zhang
2017 IEEE 33rd International Conference on Data Engineering (ICDE), 163-166, 2017
62017
Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series
D Xu, W Cheng, B Zong, D Song, J Ni, W Yu, Y Liu, H Chen, X Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 1395-1402, 2020
52020
Asymmetrical hierarchical networks with attentive interactions for interpretable review-based recommendation
X Dong, J Ni, W Cheng, Z Chen, B Zong, D Song, Y Liu, H Chen, ...
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 7667-7674, 2020
52020
ComClus: A self-grouping framework for multi-network clustering
J Ni, W Cheng, W Fan, X Zhang
IEEE transactions on knowledge and data engineering 30 (3), 435-448, 2017
52017
Learning to drop: Robust graph neural network via topological denoising
D Luo, W Cheng, W Yu, B Zong, J Ni, H Chen, X Zhang
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
42021
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Articles 1–20