Wei Cheng
Wei Cheng
Senior Research Staff Member, NEC Laboratories America (Ph.D, UNC-Chapel Hill)
Verified email at - Homepage
Cited by
Cited by
Biological insights from 108 schizophrenia-associated genetic loci
C Pantelis, GN Papadimitriou, S Papiol, E Parkhomenko, MT Pato, ...
Nature 511 (7510), 421-427, 2014
Biological insights from 108 schizophrenia-associated genetic loci
S Ripke, BM Neale, A Corvin, JTR Walters, KH Farh, PA Holmans, P Lee, ...
Nature 511 (7510), 421, 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
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
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
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
Mapping genomic loci implicates genes and synaptic biology in schizophrenia
Nature, 2022
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
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
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
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
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
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
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
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
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
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
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
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
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
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