Jingchao Ni

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	Total	Desde 2019
Citas	2803	2703
Índice h	24	24
Índice i10	38	35

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Wei ChengSenior Research Staff Member, NEC Laboratories America (Ph.D, UNC-Chapel Hill)Dirección de correo verificada de nec-labs.com
Bo ZongSalesforce.comDirección de correo verificada de salesforce.com
Dongjin SongAssistant Professor, School of Computing (CSE), University of ConnecticutDirección de correo verificada de uconn.edu
Zhengzhang ChenSenior Researcher, NEC Laboratories AmericaDirección de correo verificada de nec-labs.com
Dongsheng LuoAssistant Professor, Florida International UniversityDirección de correo verificada de fiu.edu
Yanchi LiuSenior Researcher, NEC Labs AmericaDirección de correo verificada de rutgers.edu
Dongkuan (DK) XuAssistant Professor of Computer Science, North Carolina State UniversityDirección de correo verificada de ncsu.edu
Nitesh V Chawla, Fellow: ACM, IEEE,...Frank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre DameDirección de correo verificada de nd.edu
Chuxu ZhangAssociate Professor of CSE, University of Connecticut (UConn)Dirección de correo verificada de uconn.edu
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoDirección de correo verificada de cs.uic.edu
Wei WangLeonard Kleinrock Professor in Computer Science, UCLADirección de correo verificada de cs.ucla.edu
Hanghang TongUniversity of Illinois at Urbana-ChampaignDirección de correo verificada de illinois.edu
Yuchen BianAWS; Amazon Search A9; Baidu Research USA; The Pennsylvania State UniversityDirección de correo verificada de amazon.com
Hongliang FeiGoogleDirección de correo verificada de google.com
Mehmet KoyutürkComputer and Data Sciences, Case Western Reserve UniversityDirección de correo verificada de case.edu
Shiyu ChangUniversity of California, Santa BarbaraDirección de correo verificada de cs.ucsb.edu
Jiliang TangUniversity Foundation Professor of Computer Science and Engineering, Michigan State UniversityDirección de correo verificada de msu.edu

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Jingchao Ni

University of Houston; Amazon Web Services; NEC Labs (Ph.D., Penn State)

Dirección de correo verificada de uh.edu - Página principal

Machine Learning Data Science Artificial Intelligence


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	888	2019
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	306	2020
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	252	2021
Structural temporal graph neural networks for anomaly detection in dynamic graphs L Cai, Z Chen, C Luo, J Gui, J Ni, D Li, H Chen Proceedings of the 30th ACM international conference on Information …, 2021	111	2021
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	86	2019
Convolutional transformer based dual discriminator generative adversarial networks for video anomaly detection X Feng, D Song, Y Chen, Z Chen, J Ni, H Chen Proceedings of the 29th ACM International Conference on Multimedia, 5546-5554, 2021	80	2021
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	79	2014
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	75	2018
Multi-scale one-class recurrent neural networks for discrete event sequence anomaly detection Z Wang, Z Chen, J Ni, H Liu, H Chen, J Tang Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021	70	2021
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	66	2015
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	61	2020
Dynamic gaussian mixture based deep generative model for robust forecasting on sparse multivariate time series Y Wu, J Ni, W Cheng, B Zong, D Song, Z Chen, Y Liu, X Zhang, H Chen, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 651-659, 2021	47	2021
Time series contrastive learning with information-aware augmentations D Luo, W Cheng, Y Wang, D Xu, J Ni, W Yu, X Zhang, Y Liu, Y Chen, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4534-4542, 2023	46	2023
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	42	2020
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	40	2019
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	40	2017
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	39	2019
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, 1-13, 2016	38	2016
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, ... International conference on learning representations, 2020	34	2020
Deep co-clustering D Xu, W Cheng, B Zong, J Ni, D Song, W Yu, Y Chen, H Chen, X Zhang Proceedings of the 2019 SIAM International Conference on Data Mining, 414-422, 2019	32	2019

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