| Unsupervised seismic facies analysis via deep convolutional autoencoders F Qian, M Yin, XY Liu, YJ Wang, C Lu, GM Hu Geophysics 83 (3), A39-A43, 2018 | 183 | 2018 |
| Chip: Channel independence-based pruning for compact neural networks Y Sui, M Yin, Y Xie, H Phan, S Aliari Zonouz, B Yuan Advances in Neural Information Processing Systems 34, 24604-24616, 2021 | 153 | 2021 |
| Towards efficient tensor decomposition-based dnn model compression with optimization framework M Yin, Y Sui, S Liao, B Yuan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 97 | 2021 |
| Towards extremely compact rnns for video recognition with fully decomposed hierarchical tucker structure M Yin, S Liao, XY Liu, X Wang, B Yuan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 62* | 2021 |
| Tensor super-resolution with generative adversarial nets: A large image generation approach Z Ding, XY Liu, M Yin, L Kong International Workshop on Human Brain and Artificial Intelligence, 209-223, 2019 | 33* | 2019 |
| Allocating a fixed cost across decision making units with explicitly considering efficiency rankings F Li, Z Yan, Q Zhu, M Yin, G Kou Journal of the Operational Research Society 72 (6), 1432-1446, 2021 | 29 | 2021 |
| Batude: Budget-aware neural network compression based on tucker decomposition M Yin, H Phan, X Zang, S Liao, B Yuan Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8874-8882, 2022 | 28 | 2022 |
| Gohsp: A unified framework of graph and optimization-based heterogeneous structured pruning for vision transformer M Yin, B Uzkent, Y Shen, H Jin, B Yuan Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 10954 …, 2023 | 22 | 2023 |
| HALOC: hardware-aware automatic low-rank compression for compact neural networks J Xiao, C Zhang, Y Gong, M Yin, Y Sui, L Xiang, D Tao, B Yuan Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 10464 …, 2023 | 19 | 2023 |
| Hodec: Towards efficient high-order decomposed convolutional neural networks M Yin, Y Sui, W Yang, X Zang, Y Gong, B Yuan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 19 | 2022 |
| Robot motion planning as video prediction: A spatio-temporal neural network-based motion planner X Zang, M Yin, L Huang, J Yu, S Zonouz, B Yuan 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 15 | 2022 |
| High-performance hardware architecture for tensor singular value decomposition C Deng, M Yin, XY Liu, X Wang, B Yuan 2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-6, 2019 | 13 | 2019 |
| Algorithm and hardware co-design co-optimization framework for LSTM accelerator using quantized fully decomposed tensor train M Liu, M Yin, K Han, RF DeMara, B Yuan, Y Bai Internet of Things 22, 100680, 2023 | 12 | 2023 |
| Cstar: towards compact and structured deep neural networks with adversarial robustness H Phan, M Yin, Y Sui, B Yuan, S Zonouz Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 2065-2073, 2023 | 12 | 2023 |
| ETTE: Efficient tensor-train-based computing engine for deep neural networks Y Gong, M Yin, L Huang, J Xiao, Y Sui, C Deng, B Yuan Proceedings of the 50th Annual International Symposium on Computer …, 2023 | 11 | 2023 |
| COMCAT: towards efficient compression and customization of attention-based vision models J Xiao, M Yin, Y Gong, X Zang, J Ren, B Yuan arXiv preprint arXiv:2305.17235, 2023 | 9 | 2023 |
| Tdc: Towards extremely efficient cnns on gpus via hardware-aware tucker decomposition L Xiang, M Yin, C Zhang, A Sukumaran-Rajam, P Sadayappan, B Yuan, ... Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and …, 2023 | 8 | 2023 |
| Algorithm and hardware co-design of energy-efficient LSTM networks for video recognition with hierarchical tucker tensor decomposition Y Gong, M Yin, L Huang, C Deng, B Yuan IEEE Transactions on Computers 71 (12), 3101-3114, 2022 | 8 | 2022 |
| Doubly Residual Neural Decoder: Towards Low-Complexity High-Performance Channel Decoding S Liao, C Deng, M Yin, B Yuan Proceedings of the AAAI Conference on Artificial Intelligence, 2021 | 8 | 2021 |
| Tensor super-resolution for seismic data S Liao, XY Liu, F Qian, M Yin, GM Hu ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 8 | 2019 |
Saman ZonouzAssociate Professor, Georgia TechПотвърден имейл адрес: gatech.edu
