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Wei Cheng
Wei Cheng
Senior Research Staff Member, NEC Laboratories America (Ph.D, UNC-Chapel Hill)
Verified email at nec-labs.com - Homepage
Title
Cited by
Cited by
Year
Biological insights from 108 schizophrenia-associated genetic loci
C Pantelis, GN Papadimitriou, S Papiol, E Parkhomenko, MT Pato, ...
Nature 511 (7510), 421-427, 2014
69012014
Deep autoencoding gaussian mixture model for unsupervised anomaly detection
B Zong, Q Song, MR Min, W Cheng, C Lumezanu, D Cho, H Chen
International conference on learning representations (ICLR'18), 2018
14212018
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
12332018
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
12002015
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
11692017
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
8262016
Mapping genomic loci implicates genes and synaptic biology in schizophrenia
Nature, 2022
6902022
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
6212014
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
6142019
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
3392020
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
3052018
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
2812020
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
2242016
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
2002018
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
1902019
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
183*2018
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
1512021
Genetic correlation between amyotrophic lateral sclerosis and schizophrenia
RL McLaughlin, D Schijven, W Van Rheenen, KR Van Eijk, M O’Brien, ...
Nature communications 8 (1), 14774, 2017
1282017
Estimation of genetic correlation via linkage disequilibrium score regression and genomic restricted maximum likelihood
G Ni, G Moser, S Ripke, BM Neale, A Corvin, JTR Walters, KH Farh, ...
The American Journal of Human Genetics 102 (6), 1185-1194, 2018
1252018
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
1082020
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