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Ni, Jingchao
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1

Interdependent Causal Networks for Root Cause Localization:

, In: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Wang, Dongjie ; Chen, Zhengzhang ; Ni, Jingchao... - p. 5051-5060 , 2023
Link: https://dl.acm.org/doi/1..
 
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2

Towards Robust Graph Neural Networks via Adversarial Contra..:

, In: 2022 IEEE International Conference on Big Data (Big Data),
Wang, Shen ; Chen, Zhengzhang ; Ni, Jingchao.. - p. 636-645 , 2022
Link: https://doi.org/10.1109/..
 
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3

Towards Learning Disentangled Representations for Time Seri..:

, In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Li, Yuening ; Chen, Zhengzhang ; Zha, Daochen... - p. 3270-3278 , 2022
Link: https://dl.acm.org/doi/1..
 
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4

Personalized Federated Learning via Heterogeneous Modular N..:

, In: 2022 IEEE International Conference on Data Mining (ICDM),
Wang, Tianchun ; Cheng, Wei ; Luo, Dongsheng... - p. 1197-1202 , 2022
Link: https://doi.org/10.1109/..
 
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5

Learning to Drop: Robust Graph Neural Network via Topologic..:

, In: Proceedings of the 14th ACM International Conference on Web Search and Data Mining,
Luo, Dongsheng ; Cheng, Wei ; Yu, Wenchao... - p. 779-787 , 2021
Link: https://dl.acm.org/doi/1..
 
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6

Structural Temporal Graph Neural Networks for Anomaly Detec..:

, In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management,
Cai, Lei ; Chen, Zhengzhang ; Luo, Chen... - p. 3747-3756 , 2021
Link: https://dl.acm.org/doi/1..
 
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7

Convolutional Transformer based Dual Discriminator Generati..:

, In: Proceedings of the 29th ACM International Conference on Multimedia,
Feng, Xinyang ; Song, Dongjin ; Chen, Yuncong... - p. 5546-5554 , 2021
Link: https://dl.acm.org/doi/1..
 
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8

Node Classification in Temporal Graphs Through Stochastic S..:

, In: Machine Learning and Knowledge Discovery in Databases; Lecture Notes in Computer Science,
Zheng, Cheng ; Zong, Bo ; Cheng, Wei... - p. 330-346 , 2021
Link: https://doi.org/10.1007/..
 
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9

Interpreting Convolutional Sequence Model by Learning Local..:

, In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management,
Ni, Jingchao ; Chen, Zhengzhang ; Cheng, Wei... - p. 1366-1375 , 2021
Link: https://dl.acm.org/doi/1..
 
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10

Multi-Scale One-Class Recurrent Neural Networks for Discret..:

, In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining,
Wang, Zhiwei ; Chen, Zhengzhang ; Ni, Jingchao... - p. 3726-3734 , 2021
Link: https://dl.acm.org/doi/1..
 
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11

Deep Multi-Graph Clustering via Attentive Cross-Graph Assoc..:

, In: Proceedings of the 13th International Conference on Web Search and Data Mining,
Luo, Dongsheng ; Ni, Jingchao ; Wang, Suhang... - p. 393-401 , 2020
Link: https://dl.acm.org/doi/1..
 
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12

T^2-Net: A Semi-Supervised Deep Model for Turbulence Foreca..:

, In: 2020 IEEE International Conference on Data Mining (ICDM),
Zhang, Denghui ; Liu, Yanchi ; Cheng, Wei... - p. 1388-1393 , 2020
Link: https://doi.org/10.1109/..
 
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13

Adaptive Neural Network for Node Classification in Dynamic ..:

, In: 2019 IEEE International Conference on Data Mining (ICDM),
Xu, Dongkuan ; Cheng, Wei ; Luo, Dongsheng... - p. 1402-1407 , 2019
Link: https://doi.org/10.1109/..
 
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14

ComClus: A Self-Grouping Framework for Multi-Network Cluste..:

Ni, Jingchao ; Cheng, Wei ; Fan, Wei.
IEEE Transactions on Knowledge and Data Engineering.  30 (2018)  3 - p. 435-448 , 2018
Link: https://doi.org/10.1109/..
 
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15

Co-Regularized Deep Multi-Network Embedding:

, In: Proceedings of the 2018 World Wide Web Conference,
Ni, Jingchao ; Chang, Shiyu ; Liu, Xiao... - p. 469-478 , 2018
Link: https://dl.acm.org/doi/1..
 
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