Wei Cheng

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Haifeng ChenNEC Laboratories America, Inc.Dirección de correo verificada de chacuo.net
Bo ZongSalesforce.comDirección de correo verificada de salesforce.com
Wenchao YuUniversity of California Los AngelesDirección de correo verificada de ucla.edu
Jingchao NiUniversity of Houston; Amazon Web Services; NEC Labs (Ph.D., Penn State)Dirección de correo verificada de uh.edu
Dongjin SongAssistant Professor, School of Computing (CSE), University of ConnecticutDirección de correo verificada de uconn.edu
Wei WangLeonard Kleinrock Professor in Computer Science, UCLADirección de correo verificada de cs.ucla.edu
Dongsheng LuoAssistant Professor, Florida International UniversityDirección de correo verificada de fiu.edu
Dongkuan (DK) XuAssistant Professor of Computer Science, North Carolina State UniversityDirección de correo verificada de ncsu.edu
Zhengzhang ChenSenior Researcher, NEC Laboratories AmericaDirección de correo verificada de nec-labs.com
Yanchi LiuSenior Researcher, NEC Labs AmericaDirección de correo verificada de rutgers.edu
Xuchao ZhangPrincipal Researcher @ MicrosoftDirección de correo verificada de microsoft.com
Cristian LumezanuFacebookDirección de correo verificada de cs.umd.edu
Yuncong ChenAmazonDirección de correo verificada de amazon.com
Xujiang ZhaoResearcher at NEC Laboratories AmericaDirección de correo verificada de nec-labs.com
Kai ZhangEast China Normal UniversityDirección de correo verificada de cs.ecnu.edu.cn
Xianjun YangUCSBDirección de correo verificada de ucsb.edu
Lu-An TangSenior Researcher, NEC Laboratories AmericaDirección de correo verificada de nec-labs.com
Liang ZhaoEmory UniversityDirección de correo verificada de emory.edu
Charu AggarwalDistinguished Research Staff Member, IBM T. J. Watson Research CenterDirección de correo verificada de us.ibm.com
Qi Song(Pre-tenure) Professor, USTCDirección de correo verificada de ustc.edu.cn

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Wei Cheng

Senior Research Staff Member, NEC Laboratories America (Ph.D, UNC-Chapel Hill)

Dirección de correo verificada de nec-labs.com - Página principal

Machine Learning NLP Data Mining Bioinformatics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Biological insights from 108 schizophrenia-associated genetic loci C Pantelis, GN Papadimitriou, S Papiol, E Parkhomenko, MT Pato, ... Nature 511 (7510), 421-427, 2014	7755	2014
Deep autoencoding gaussian mixture model for unsupervised anomaly detection HC Bo Zong, Qi Song, Martin Renqiang Min, Wei Cheng, Cristian Lumezanu ... ICLR 2018, 2018	2265*	2018
Mapping genomic loci implicates genes and synaptic biology in schizophrenia Nature, 2022	1757	2022
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction Y Qin, D Song, H Cheng, W Cheng, G Jiang, G Cottrell Proc. 27th Intl. Joint Conf. on Artificial Intelligence (IJCAI'17), 2017	1663	2017
Analysis of shared heritability in common disorders of the brain V Anttila, B Bulik-Sullivan, HK Finucane, J Bras, L Duncan, V Escott-Price, ... Science, 2018	1496	2018
Modeling linkage disequilibrium increases accuracy of polygenic risk scores BJ Vilhjálmsson, J Yang, HK Finucane, A Gusev, S Lindström, S Ripke, ... The american journal of human genetics 97 (4), 576-592, 2015	1454	2015
Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects C Marshall, D Howrigan, D Merico, B Thiruvahindrapuram, W Wu, D Greer, ... Nature Genetics, 2016	1003	2016
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	954	2019
Parameterized explainer for graph neural network D Luo, W Cheng, D Xu, W Yu, B Zong, H Chen, X Zhang Conference on Neural Information Processing Systems (NeurIPS'20), 2020	705	2020
Partitioning heritability of regulatory and cell-type-specific variants across 11 common diseases A Gusev, SH Lee, G Trynka, H Finucane, BJ Vilhjálmsson, H Xu, C Zang, ... The American Journal of Human Genetics 95 (5), 535-552, 2014	685	2014
Netwalk: A flexible deep embedding approach for anomaly detection in dynamic networks W Yu, W Cheng, CC Aggarwal, K Zhang, H Chen, W Wang Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018	431	2018
Robust Graph Representation Learning via Neural Sparsification C Zheng, B Zong, W Cheng, D Song, J Ni, W Yu, H Chen, W Wang ICML'19, 2019	326	2019
Mapping genomic loci prioritises genes and implicates synaptic biology in schizophrenia Schizophrenia Working Group of the Psychiatric Genomics Consortium, ... MedRxiv, 2020.09. 12.20192922, 2020	321	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	275	2021
Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept B Franke, JL Stein, S Ripke, V Anttila, DP Hibar, KJE Van Hulzen, ... Nature neuroscience 19 (3), 420-431, 2016	240	2016
Learning deep network representations with adversarially regularized autoencoders W Yu, C Zheng, W Cheng, CC Aggarwal, D Song, B Zong, H Chen, ... Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018	231	2018
You Are What You Do: Hunting Stealthy Malware via Data Provenance Analysis. Q Wang, WU Hassan, D Li, K Jee, X Yu, K Zou, J Rhee, Z Chen, W Cheng, ... NDSS, 2020	227	2020
InfoGCL: Information-Aware Graph Contrastive Learning D Xu, W Cheng, D Luo, H Chen, X Zhang Conference on Neural Information Processing Systems (NeurIPS’21), 2021	216	2021
Scaling Up Kernel SVM on Limited Resources: A Low-Rank Linearization Approach L Lan, Z Wang, S Zhe, W Cheng, J Wang, K Zhang IEEE Transactions on Neural Networks and Learning Systems 30 (2), 369 - 378, 2018	204*	2018
Exploring the limits of chatgpt for query or aspect-based text summarization X Yang, Y Li, X Zhang, H Chen, W Cheng arXiv preprint arXiv:2302.08081, 2023	186	2023

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