| Generative adversarial network for synthetic time series data generation in smart grids C Zhang, SR Kuppannagari, R Kannan, VK Prasanna 2018 IEEE international conference on communications, control, and computing …, 2018 | 205 | 2018 |
| Frequency domain acceleration of convolutional neural networks on CPU-FPGA shared memory system C Zhang, V Prasanna Proceedings of the 2017 ACM/SIGDA International Symposium on Field …, 2017 | 203 | 2017 |
| Building HVAC scheduling using reinforcement learning via neural network based model approximation C Zhang, SR Kuppannagari, R Kannan, VK Prasanna Proceedings of the 6th ACM international conference on systems for energy …, 2019 | 129 | 2019 |
| A framework for generating high throughput CNN implementations on FPGAs H Zeng, R Chen, C Zhang, V Prasanna Proceedings of the 2018 ACM/SIGDA international symposium on field …, 2018 | 111 | 2018 |
| Fast and efficient implementation of convolutional neural networks on FPGA A Podili, C Zhang, V Prasanna 2017 IEEE 28Th international conference on application-specific systems …, 2017 | 92 | 2017 |
| A cooperative multi-agent deep reinforcement learning framework for real-time residential load scheduling C Zhang, SR Kuppannagari, C Xiong, R Kannan, VK Prasanna Proceedings of the international conference on internet of things design and …, 2019 | 43 | 2019 |
| Fast generation of high throughput customized deep learning accelerators on FPGAs H Zeng, C Zhang, V Prasanna 2017 International Conference on ReConFigurable Computing and FPGAs …, 2017 | 34 | 2017 |
| High throughput large scale sorting on a CPU-FPGA heterogeneous platform C Zhang, R Chen, V Prasanna 2016 IEEE International Parallel and Distributed Processing Symposium …, 2016 | 34 | 2016 |
| Brac+: Improved behavior regularized actor critic for offline reinforcement learning C Zhang, S Kuppannagari, P Viktor Asian Conference on Machine Learning, 204-219, 2021 | 19 | 2021 |
| Safe building HVAC control via batch reinforcement learning C Zhang, SR Kuppannagari, VK Prasanna IEEE Transactions on Sustainable Computing 7 (4), 923-934, 2022 | 17 | 2022 |
| A framework for mapping drl algorithms with prioritized replay buffer onto heterogeneous platforms C Zhang, Y Meng, V Prasanna IEEE Transactions on Parallel and Distributed Systems 34 (6), 1816-1829, 2023 | 15 | 2023 |
| FPGA acceleration of deep reinforcement learning using on-chip replay management Y Meng, C Zhang, V Prasanna Proceedings of the 19th ACM International Conference on Computing Frontiers …, 2022 | 8 | 2022 |
| Parallel actors and learners: A framework for generating scalable RL implementations C Zhang, SR Kuppannagari, VK Prasanna 2021 IEEE 28th International Conference on High Performance Computing, Data …, 2021 | 7 | 2021 |
| Maximum entropy model rollouts: Fast model based policy optimization without compounding errors C Zhang, SR Kuppannagari, VK Prasanna arXiv preprint arXiv:2006.04802, 2020 | 4 | 2020 |
| Intelligent communication over realistic wireless networks in multi-agent cooperative games D Hu, C Zhang, V Prasanna, B Krishnamachari Proceedings of the 21st International Conference on Autonomous Agents and …, 2022 | 3 | 2022 |
| Learning Practical Communication Strategies in Cooperative Multi-Agent Reinforcement Learning D Hu, C Zhang, V Prasanna, B Krishnamachari Asian Conference on Machine Learning, 467-482, 2023 | 2 | 2023 |
| BRAC+: Going deeper with behavior regularized offline reinforcement learning C Zhang, SR Kuppannagari, V Prasanna | 2 | 2021 |
| Sentiment Analysis and Deep Reinforcement Learning for Algorithmic Trading C Zhang Semantic Scholar, 2019 | 2 | 2019 |
| Hybridflow: A flexible and efficient rlhf framework G Sheng, C Zhang, Z Ye, X Wu, W Zhang, R Zhang, Y Peng, H Lin, C Wu arXiv preprint arXiv:2409.19256, 2024 | 1 | 2024 |
Viktor K. PrasannaUniversity of Southern CaliforniaVerified email at usc.edu