| Accelerating data loading in deep neural network training CC Yang, G Cong 2019 IEEE 26th International Conference on High Performance Computing, Data …, 2019 | 43 | 2019 |
| DRMaestro: orchestrating disaggregated resources on virtualized data-centers M Amaral, J Polo, D Carrera, N Gonzalez, CC Yang, A Morari, B D’Amora, ... Journal of cloud computing 10, 1-20, 2021 | 24 | 2021 |
| Software architecture design for streaming Java RMI CC Yang, CK Chen, YH Chang, KH Chung, JK Lee Science of computer programming 70 (2-3), 168-184, 2008 | 14 | 2008 |
| Streaming support for Java RMI in distributed environments CC Yang, CK Chen, YH Chang, KH Chung, JK Lee Proceedings of the 4th international symposium on Principles and practice of …, 2006 | 10 | 2006 |
| Online machine learning for accelerating molecular dynamics modeling of cells Z Zhang, P Zhang, C Han, G Cong, CC Yang, Y Deng Frontiers in Molecular Biosciences 8, 812248, 2022 | 9 | 2022 |
| Efficient switching supports of distributed. NET remoting with network processors CK Chen, YH Chang, CW Chen, YT Chen, CC Yang, JK Lee 2005 International Conference on Parallel Processing (ICPP'05), 350-357, 2005 | 9 | 2005 |
| Dynamics-based peptide–mhc binding optimization by a convolutional variational autoencoder: A use-case model for castelo DR Bell, G Domeniconi, CC Yang, R Zhou, L Zhang, G Cong Journal of Chemical Theory and Computation 17 (12), 7962-7971, 2021 | 8 | 2021 |
| Video action recognition with an additional end-to-end trained temporal stream G Cong, G Domeniconi, J Shapiro, CC Yang, B Chen 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 51-60, 2019 | 8 | 2019 |
| Switching supports for stateful object remoting on network processors CK Chen, YH Chang, YT Chen, CC Yang, JK Lee The Journal of Supercomputing 40, 281-298, 2007 | 8 | 2007 |
| CASTELO: clustered atom subtypes aided lead optimization—a combined machine learning and molecular modeling method L Zhang, G Domeniconi, CC Yang, S Kang, R Zhou, G Cong BMC bioinformatics 22, 1-21, 2021 | 7 | 2021 |
| Design of ai-enhanced drug lead optimization workflow for hpc and cloud CC Yang, G Domeniconi, L Zhang, G Cong 2020 IEEE International Conference on Big Data (Big Data), 5861-5863, 2020 | 7 | 2020 |
| Fast neural network training on a cluster of GPUs for action recognition with high accuracy G Cong, G Domeniconi, CC Yang, J Shapiro, F Zhou, B Chen Journal of Parallel and Distributed Computing 134, 153-165, 2019 | 6 | 2019 |
| Fast training of deep neural networks for speech recognition G Cong, B Kingsbury, CC Yang, T Liu ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 5 | 2020 |
| System and generation method of remote objects with network streaming ability JK Lee, CK Chen, YH Chang, CC Yang, KH Chung US Patent 8,239,560, 2012 | 5 | 2012 |
| Scalable multiscale modeling of platelets with 100 million particles C Han, P Zhang, Y Zhu, G Cong, JR Kozloski, CC Yang, L Zhang, Y Deng The Journal of Supercomputing 78 (18), 19707-19724, 2022 | 4 | 2022 |
| AI Meets HPC: Learning the Cell Motion in Biofluids Z Zhang, P Zhang, C Han, G Cong, CC Yang, Y Deng Proceedings of the Supercomputing Conference, 2020 | 4 | 2020 |
| Hierarchically tiled array as a high-level abstraction for codelets CC Yang, JC Pichel, AR Smith, DA Padua 2014 Fourth Workshop on Data-Flow Execution Models for Extreme Scale …, 2014 | 4 | 2014 |
| AI-aided multiscale modeling of physiologically-significant blood clots Y Zhu, C Han, P Zhang, G Cong, JR Kozloski, CC Yang, L Zhang, Y Deng Computer Physics Communications 287, 108718, 2023 | 3 | 2023 |
| Locality aware data loading for machine learning CC Yang, G Cong, B Acun, A Morari US Patent 11,093,862, 2021 | 2 | 2021 |
| Dataflow execution of hierarchically tiled arrays CC Yang, JC Pichel, DA Padua European Conference on Parallel Processing, 304-316, 2019 | 2 | 2019 |
Guojing Congsenior research scientist, ORNLVerified email at ornl.gov
