| 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 (01), 485-492, 2019 | 233 | 2019 |
| Citywide traffic flow prediction based on multiple gated spatio-temporal convolutional neural networks C Chen, K Li, SG Teo, X Zou, K Li, Z Zeng ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (4), 1-23, 2020 | 171 | 2020 |
| 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 | 143 | 2019 |
| Hierarchical graph neural networks for few-shot learning C Chen, K Li, W Wei, JT Zhou, Z Zeng IEEE Transactions on Circuits and Systems for Video Technology 32 (1), 240-252, 2021 | 134 | 2021 |
| 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 | 130 | 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 | 108 | 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 | 103 | 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 | 88 | 2018 |
| 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 7 (11), 10773-10781, 2020 | 72 | 2020 |
| 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 540, 117-130, 2020 | 69 | 2020 |
| Dsal: Deeply supervised active learning from strong and weak labelers for biomedical image segmentation Z Zhao, Z Zeng, K Xu, C Chen, C Guan IEEE journal of biomedical and health informatics 25 (10), 3744-3751, 2021 | 62 | 2021 |
| 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 | 62 | 2018 |
| Extreme learning machine and its applications in big data processing C Chen, K Li, M Duan, K Li Big data analytics for sensor-network collected intelligence, 117-150, 2017 | 49 | 2017 |
| Multiple local 3D CNNs for region-based prediction in smart cities Y Chen, X Zou, K Li, K Li, X Yang, C Chen Information Sciences 542, 476-491, 2021 | 43 | 2021 |
| Modeling temporal patterns with dilated convolutions for time-series forecasting Y Li, K Li, C Chen, X Zhou, Z Zeng, K Li ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (1), 1-22, 2021 | 34 | 2021 |
| ReGNN: A redundancy-eliminated graph neural networks accelerator C Chen, K Li, Y Li, X Zou 2022 IEEE International Symposium on High-Performance Computer Architecture …, 2022 | 29 | 2022 |
| A hybrid deep learning based framework for component defect detection of moving trains C Chen, K Li, C Zhongyao, F Piccialli, SCH Hoi, Z Zeng IEEE Transactions on Intelligent Transportation Systems 23 (4), 3268-3280, 2020 | 25 | 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 | 24 | 2020 |
| Dygnn: Algorithm and architecture support of dynamic pruning for graph neural networks C Chen, K Li, X Zou, Y Li 2021 58th ACM/IEEE Design Automation Conference (DAC), 1201-1206, 2021 | 22 | 2021 |
| Multilevel attention based u-shape graph neural network for point clouds learning X Zou, K Li, C Chen IEEE Transactions on Industrial Informatics 18 (1), 448-456, 2020 | 22 | 2020 |
