| Controlled kernel launch for dynamic parallelism in GPUs X Tang, A Pattnaik, H Jiang, O Kayiran, A Jog, S Pai, M Ibrahim, ... 2017 IEEE International Symposium on High Performance Computer Architecture …, 2017 | 62 | 2017 |
| Predicting protein–ligand docking structure with graph neural network H Jiang, J Wang, W Cong, Y Huang, M Ramezani, A Sarma, ... Journal of chemical information and modeling 62 (12), 2923-2932, 2022 | 45 | 2022 |
| BitMapper: an efficient all-mapper based on bit-vector computing H Cheng, H Jiang, J Yang, Y Xu, Y Shang BMC bioinformatics 16, 1-16, 2015 | 38 | 2015 |
| Strengthening barrier-coverage of static sensor network with mobile sensor nodes B Xu, Y Zhu, D Kim, D Li, H Jiang, AO Tokuta Wireless Networks 22, 1-10, 2016 | 30 | 2016 |
| GPU-accelerated flexible molecular docking M Fan, J Wang, H Jiang, Y Feng, M Mahdavi, K Madduri, MT Kandemir, ... The Journal of Physical Chemistry B 125 (4), 1049-1060, 2021 | 26 | 2021 |
| Guiding conventional protein–ligand docking software with convolutional neural networks H Jiang, M Fan, J Wang, A Sarma, S Mohanty, NV Dokholyan, M Mahdavi, ... Journal of chemical information and modeling 60 (10), 4594-4602, 2020 | 23 | 2020 |
| Fortifying barrier-coverage of wireless sensor network with mobile sensor nodes B Xu, D Kim, D Li, J Lee, H Jiang, AO Tokuta Wireless Algorithms, Systems, and Applications: 9th International Conference …, 2014 | 20 | 2014 |
| MDACache: Caching for multi-dimensional-access memories S George, MJ Liao, H Jiang, JB Kotra, MT Kandemir, J Sampson, ... 2018 51st Annual IEEE/ACM International Symposium on Microarchitecture …, 2018 | 14 | 2018 |
| CASH: compiler assisted hardware design for improving DRAM energy efficiency in CNN inference A Sarma, H Jiang, A Pattnaik, J Kotra, MT Kandemir, CR Das Proceedings of the International Symposium on Memory Systems, 396-407, 2019 | 7 | 2019 |
| A learning-guided hierarchical approach for biomedical image segmentation H Jiang, A Sarma, J Ryoo, JB Kotra, M Arunachalam, CR Das, ... 2018 31st IEEE International System-on-Chip Conference (SOCC), 227-232, 2018 | 6 | 2018 |
| Exploiting activation based gradient output sparsity to accelerate backpropagation in cnns A Sarma, S Singh, H Jiang, A Pattnaik, AK Mishra, V Narayanan, ... arXiv preprint arXiv:2109.07710, 2021 | 4 | 2021 |
| Architecture-centric bottleneck analysis for deep neural network applications J Ryoo, M Fan, X Tang, H Jiang, M Arunachalam, S Naveen, ... 2019 IEEE 26th International Conference on High Performance Computing, Data …, 2019 | 4 | 2019 |
| Structured in space, randomized in time: leveraging dropout in RNNs for efficient training A Sarma, S Singh, H Jiang, R Zhang, M Kandemir, C Das Advances in Neural Information Processing Systems 34, 24545-24555, 2021 | 2 | 2021 |
| Fluid: a framework for approximate concurrency via controlled dependency relaxation H Jiang, H Zhang, X Tang, V Govindaraj, J Sampson, MT Kandemir, ... Proceedings of the 42nd ACM SIGPLAN International Conference on Programming …, 2021 | 2 | 2021 |
| Morphable convolutional neural network for biomedical image segmentation H Jiang, A Sarma, M Fan, J Ryoo, M Arunachalam, S Naveen, ... 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2021 | 2 | 2021 |
| Exploration of Machine Learning Based Acceleration Methodologies H Jiang | | 2022 |
