cen chen
cen chen
Institute for Infocomm Research, Singapore, National University of Singapore, Hunan University
在 i2r.a-star.edu.sg 的电子邮件经过验证
GFlink: An in-memory computing architecture on heterogeneous CPU-GPU clusters for big data
C Chen, K Li, A Ouyang, Z Zeng, K Li
IEEE Transactions on Parallel and Distributed Systems 29 (6), 1275-1288, 2018
Gpu-accelerated parallel hierarchical extreme learning machine on flink for big data
C Chen, K Li, A Ouyang, Z Tang, K Li
IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (10), 2740-2753, 2017
Deep learning for lung cancer detection: Tackling the kaggle data science bowl 2017 challenge
K Kuan, M Ravaut, G Manek, H Chen, J Lin, B Nazir, C Chen, TC Howe, ...
arXiv preprint arXiv:1705.09435, 2017
Exploiting spatio-temporal correlations with multiple 3d convolutional neural networks for citywide vehicle flow prediction
C Chen, K Li, SG Teo, G Chen, X Zou, X Yang, RC Vijay, J Feng, Z Zeng
2018 IEEE international conference on data mining (ICDM), 893-898, 2018
Gated residual recurrent graph neural networks for traffic prediction
C Chen, K Li, SG Teo, X Zou, K Wang, J Wang, Z Zeng
Proceedings of the AAAI Conference on Artificial Intelligence 33, 485-492, 2019
Multiple convolutional neural networks for multivariate time series prediction
K Wang, K Li, L Zhou, Y Hu, Z Cheng, J Liu, C Chen
Neurocomputing 360, 107-119, 2019
Flinkcl: An opencl-based in-memory computing architecture on heterogeneous cpu-gpu clusters for big data
C Chen, K Li, A Ouyang, K Li
IEEE Transactions on Computers 67 (12), 1765-1779, 2018
A parallel approximate ss-elm algorithm based on mapreduce for large-scale datasets
C Chen, K Li, A Ouyang, K Li
Journal of Parallel and Distributed Computing 108, 85-94, 2017
Semi-supervised self-taught deep learning for finger bones segmentation
Z Zhao, X Zhang, C Chen, W Li, S Peng, J Wang, X Yang, L Zhang, ...
2019 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2019
WiFi-Based Indoor Robot Positioning Using Deep Fuzzy Forests
L Zhang, Z Chen, W Cui, B Li, C Chen, Z Cao, K Gao
IEEE Internet of Things Journal, 2020
DHCRF: A Distributed Conditional Random Field Algorithm on a Heterogeneous CPU-GPU Cluster for Big Data
W Ai, K Li, C Chen, J Peng, K Li
2017 IEEE 37th International Conference on Distributed Computing Systems …, 2017
Multi-task cascade deep convolutional neural networks for large-scale commodity recognition
X Zou, L Zhou, K Li, A Ouyang, C Chen
Neural Computing and Applications 32 (10), 5633-5647, 2020
A parallel randomized neural network on in-memory cluster computing for big data
T Dai, K Li, C Chen
2017 13th International Conference on Natural Computation, Fuzzy Systems and …, 2017
Iterative sparse matrix-vector multiplication on in-memory cluster computing accelerated by gpus for big data
J Peng, Z Xiao, C Chen, W Yang
2016 12th International Conference on Natural Computation, Fuzzy Systems and …, 2016
A Hierarchical Deep Convolutional Neural Network and Gated Recurrent Unit Framework for Structural Damage Detection
J Yang, L Zhang, C Chen, Y Li, R Li, G Wang, S Jiang, Z Zeng
Information Sciences, 2020
A two-stage attention aware method for train bearing shed oil inspection based on convolutional neural networks
X Fu, K Li, J Liu, K Li, Z Zeng, C Chen
Neurocomputing 380, 212-224, 2020
Exploring Structural Knowledge for Automated Visual Inspection of Moving Trains
C Cen, Z Xiaofeng, Z Zeng, C Zhongyao, CH Steven
IEEE transactions on cybernetics, 2020
A Deep Framework for Bone Age Assessment based on Finger Joint Localization
X Zhang, Z Zhao, C Chen, S Peng, M Wu, Z Cheng, S Teo, L Zhang, ...
arXiv preprint arXiv:1905.13124, 2019
Knowledge-graph based multi-target deep-learning models for train anomaly detection
Z Qin, C Cen, W Jie, TS Gee, VR Chandrasekhar, Z Peng, Z Zeng
2018 International Conference on Intelligent Rail Transportation (ICIRT), 1-5, 2018
Opencc–an open Benchmark data set for Corpus Callosum Segmentation and Evaluation
X Yang, X Zhao, G Tjio, C Chen, L Wang, B Wen, Y Su
2020 IEEE International Conference on Image Processing (ICIP), 3020-3024, 2020
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