| 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 | 327 | 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 | 250 | 2020 |
| 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 | 190 | 2021 |
| A novel security-driven scheduling algorithm for precedence-constrained tasks in heterogeneous distributed systems T Xiaoyong, K Li, Z Zeng, B Veeravalli IEEE Transactions on computers 60 (7), 1017-1029, 2010 | 172 | 2010 |
| 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 | 154 | 2018 |
| A novel multi-task deep learning model for skin lesion segmentation and classification X Yang, Z Zeng, SY Yeo, C Tan, HL Tey, Y Su arXiv preprint arXiv:1703.01025, 2017 | 147 | 2017 |
| Nonlinear regression via deep negative correlation learning L Zhang, Z Shi, MM Cheng, Y Liu, JW Bian, JT Zhou, G Zheng, Z Zeng IEEE transactions on pattern analysis and machine intelligence 43 (3), 982-998, 2019 | 146 | 2019 |
| 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 | 132 | 2020 |
| 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 | 130 | 2017 |
| Dynamic planning of bicycle stations in dockless public bicycle-sharing system using gated graph neural network J Chen, K Li, K Li, PS Yu, Z Zeng ACM Transactions on Intelligent Systems and Technology (TIST) 12 (2), 1-22, 2021 | 112 | 2021 |
| 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 | 111 | 2018 |
| 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 | 100 | 2021 |
| CardioXNet: automated detection for cardiomegaly based on deep learning Q Que, Z Tang, R Wang, Z Zeng, J Wang, M Chua, TS Gee, X Yang, ... 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 95 | 2018 |
| LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation Z Zhao, F Zhou, K Xu, Z Zeng, C Guan, SK Zhou IEEE transactions on medical imaging 42 (3), 633-646, 2022 | 93 | 2022 |
| Deep learning for practical image recognition: Case study on kaggle competitions X Yang, Z Zeng, SG Teo, L Wang, V Chandrasekhar, S Hoi Proceedings of the 24th ACM SIGKDD international conference on knowledge …, 2018 | 87 | 2018 |
| Cost-efficient workflow scheduling algorithm for applications with deadline constraint on heterogeneous clouds X Tang, W Cao, H Tang, T Deng, J Mei, Y Liu, C Shi, M Xia, Z Zeng IEEE Transactions on Parallel and Distributed Systems 33 (9), 2079-2092, 2021 | 84 | 2021 |
| Holistic scheduling of real-time applications in time-triggered in-vehicle networks M Hu, J Luo, Y Wang, M Lukasiewycz, Z Zeng IEEE Transactions on Industrial Informatics 10 (3), 1817-1828, 2014 | 83 | 2014 |
| Tracknet-a deep learning based fault detection for railway track inspection A James, W Jie, Y Xulei, Y Chenghao, NB Ngan, L Yuxin, S Yi, ... 2018 International Conference on Intelligent Rail Transportation (ICIRT), 1-5, 2018 | 78 | 2018 |
| Design and performance evaluation of queue-and-rate-adjustment dynamic load balancing policies for distributed networks Z Zeng, B Veeravalli IEEE Transactions on Computers 55 (11), 1410-1422, 2006 | 71 | 2006 |
| 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 | 69 | 2021 |
Bharadwaj VeeravalliNUS, SingaporeVerified email at nus.edu.sg
