| Be your own teacher: Improve the performance of convolutional neural networks via self distillation L Zhang, J Song, A Gao, J Chen, C Bao, K Ma Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 868 | 2019 |
| Architecture exploration for ambient energy harvesting nonvolatile processors K Ma, Y Zheng, S Li, K Swaminathan, X Li, Y Liu, J Sampson, Y Xie, ... 2015 IEEE 21st International Symposium on High Performance Computer …, 2015 | 284 | 2015 |
| Improve object detection with feature-based knowledge distillation: Towards accurate and efficient detectors L Zhang, K Ma International Conference on Learning Representations, 2020 | 185 | 2020 |
| Pconv: The missing but desirable sparsity in dnn weight pruning for real-time execution on mobile devices X Ma, FM Guo, W Niu, X Lin, J Tang, K Ma, B Ren, Y Wang Proceedings of the AAAI conference on artificial intelligence 34 (04), 5117-5124, 2020 | 174 | 2020 |
| Adversarial robustness vs. model compression, or both? S Ye, K Xu, S Liu, H Cheng, JH Lambrechts, H Zhang, A Zhou, K Ma, ... Proceedings of the IEEE/CVF International Conference on Computer Vision, 111-120, 2019 | 174 | 2019 |
| Ambient energy harvesting nonvolatile processors: From circuit to system Y Liu, Z Li, H Li, Y Wang, X Li, K Ma, S Li, MF Chang, S John, Y Xie, J Shu, ... Proceedings of the 52nd Annual Design Automation Conference, 1-6, 2015 | 160 | 2015 |
| Self-distillation: Towards efficient and compact neural networks L Zhang, C Bao, K Ma IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (8), 4388-4403, 2021 | 157 | 2021 |
| Nonvolatile memory design based on ferroelectric FETs S George, K Ma, A Aziz, X Li, A Khan, S Salahuddin, MF Chang, S Datta, ... Proceedings of the 53rd Annual Design Automation Conference, 1-6, 2016 | 129 | 2016 |
| Tunnel FET RF rectifier design for energy harvesting applications H Liu, X Li, R Vaddi, K Ma, S Datta, V Narayanan IEEE Journal on Emerging and Selected Topics in Circuits and Systems 4 (4 …, 2014 | 100 | 2014 |
| Non-structured DNN weight pruning—Is it beneficial in any platform? X Ma, S Lin, S Ye, Z He, L Zhang, G Yuan, SH Tan, Z Li, D Fan, X Qian, ... IEEE transactions on neural networks and learning systems 33 (9), 4930-4944, 2021 | 93 | 2021 |
| Enabling energy-efficient nonvolatile computing with negative capacitance FET X Li, J Sampson, A Khan, K Ma, S George, A Aziz, SK Gupta, ... IEEE Transactions on Electron Devices 64 (8), 3452-3458, 2017 | 91 | 2017 |
| Nonvolatile processor architecture exploration for energy-harvesting applications K Ma, X Li, S Li, Y Liu, JJ Sampson, Y Xie, V Narayanan IEEE Micro 35 (5), 32-40, 2015 | 79 | 2015 |
| Wavelet knowledge distillation: Towards efficient image-to-image translation L Zhang, X Chen, X Tu, P Wan, N Xu, K Ma Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 71 | 2022 |
| Scan: A scalable neural networks framework towards compact and efficient models L Zhang, Z Tan, J Song, J Chen, C Bao, K Ma Advances in Neural Information Processing Systems 32, 2019 | 71 | 2019 |
| Dreamllm: Synergistic multimodal comprehension and creation R Dong, C Han, Y Peng, Z Qi, Z Ge, J Yang, L Zhao, J Sun, H Zhou, H Wei, ... arXiv preprint arXiv:2309.11499, 2023 | 65 | 2023 |
| Incidental computing on IoT nonvolatile processors K Ma, X Li, J Li, Y Liu, Y Xie, J Sampson, MT Kandemir, V Narayanan Proceedings of the 50th Annual IEEE/ACM International Symposium on …, 2017 | 65 | 2017 |
| Advancing nonvolatile computing with nonvolatile NCFET latches and flip-flops X Li, S George, K Ma, WY Tsai, A Aziz, J Sampson, SK Gupta, MF Chang, ... IEEE Transactions on Circuits and Systems I: Regular Papers 64 (11), 2907-2919, 2017 | 65 | 2017 |
| Contrast with reconstruct: Contrastive 3d representation learning guided by generative pretraining Z Qi, R Dong, G Fan, Z Ge, X Zhang, K Ma, L Yi International Conference on Machine Learning, 28223-28243, 2023 | 64 | 2023 |
| Autoencoders as cross-modal teachers: Can pretrained 2d image transformers help 3d representation learning? R Dong, Z Qi, L Zhang, J Zhang, J Sun, Z Ge, L Yi, K Ma arXiv preprint arXiv:2212.08320, 2022 | 63 | 2022 |
| Low power adiabatic logic based on FinFETs N Liao, XX Cui, K Liao, KS Ma, D Wu, W Wei, R Li, DS Yu Science China information sciences 57, 1-13, 2014 | 63 | 2014 |
Xueqing LiAssociate Professor, Tsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
