| Deepsniffer: A dnn model extraction framework based on learning architectural hints X Hu, L Liang, S Li, L Deng, P Zuo, Y Ji, X Xie, Y Ding, C Liu, T Sherwood, ... Proceedings of the Twenty-Fifth International Conference on Architectural …, 2020 | 153* | 2020 |
| A system hierarchy for brain-inspired computing Y Zhang, P Qu, Y Ji, W Zhang, G Gao, G Wang, S Song, G Li, W Chen, ... Nature 586 (7829), 378-384, 2020 | 133 | 2020 |
| NEUTRAMS: Neural network transformation and co-design under neuromorphic hardware constraints Y Ji, YH Zhang, SC Li, P Chi, CH Jiang, P Qu, Y Xie, WG Chen 2016 49th Annual IEEE/ACM International Symposium on Microarchitecture …, 2016 | 109 | 2016 |
| SNrram: An efficient sparse neural network computation architecture based on resistive random-access memory P Wang, Y Ji, C Hong, Y Lyu, D Wang, Y Xie Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018 | 101 | 2018 |
| Fpsa: A full system stack solution for reconfigurable reram-based nn accelerator architecture Y Ji, Y Zhang, X Xie, S Li, P Wang, X Hu, Y Zhang, Y Xie Proceedings of the Twenty-Fourth International Conference on Architectural …, 2019 | 76 | 2019 |
| Bridge the gap between neural networks and neuromorphic hardware with a neural network compiler Y Ji, Y Zhang, W Chen, Y Xie Proceedings of the twenty-third international conference on architectural …, 2018 | 74 | 2018 |
| Crossbar-aware neural network pruning L Liang, L Deng, Y Zeng, X Hu, Y Ji, X Ma, G Li, Y Xie IEEE Access 6, 58324-58337, 2018 | 60 | 2018 |
| Memory trojan attack on neural network accelerators Y Zhao, X Hu, S Li, J Ye, L Deng, Y Ji, J Xu, D Wu, Y Xie 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2019 | 50 | 2019 |
| Tetris: Tile-matching the tremendous irregular sparsity Y Ji, L Liang, L Deng, Y Zhang, Y Zhang, Y Xie Advances in neural information processing systems 31, 2018 | 41 | 2018 |
| QGAN: Quantized generative adversarial networks P Wang, D Wang, Y Ji, X Xie, H Song, XX Liu, Y Lyu, Y Xie arXiv preprint arXiv:1901.08263, 2019 | 29 | 2019 |
| Programmable neural network trojan for pre-trained feature extractor Y Ji, Z Liu, X Hu, P Wang, Y Zhang arXiv preprint arXiv:1901.07766, 2019 | 17 | 2019 |
| Nnbench-x: Benchmarking and understanding neural network workloads for accelerator designs X Xie, X Hu, P Gu, S Li, Y Ji, Y Xie IEEE Computer Architecture Letters 18 (1), 38-42, 2019 | 10* | 2019 |
| Optimized mapping spiking neural networks onto network-on-chip Y Ji, Y Zhang, H Liu, W Zheng Algorithms and Architectures for Parallel Processing: 16th International …, 2016 | 10 | 2016 |
| A reduced architecture for ReRAM-based neural network accelerator and its software stack Y Ji, Z Liu, Y Zhang IEEE Transactions on Computers 70 (3), 316-331, 2020 | 9 | 2020 |
| Modelling spiking neural network from the architecture evaluation perspective Y Ji, YH Zhang, WM Zheng Journal of computer science and technology 31, 50-59, 2016 | 8 | 2016 |
| Neural network transformation under hardware constraints Y Zhang, Y Ji, W Chen, Y Xie Proceedings of the International Conference on Compilers, Architectures and …, 2016 | 2 | 2016 |
| A systematic view of leakage risks in deep neural network systems X Hu, L Liang, L Deng, Y Ji, Y Ding, Z Du, Q Guo, T Sherwood, Y Xie Authorea Preprints, 2023 | 1 | 2023 |
| QGAN: Quantize Generative Adversarial Networks to Extreme low-bits P Wang, Y Ji, X Xie, Y Lyu, D Wang, Y Xie | | 2019 |
| POSTER: Bridge the Gap Between Neural Networks and Neuromorphic Hardware Y Ji, YH Zhang, WG Chen, Y Xie 2017 26th International Conference on Parallel Architectures and Compilation …, 2017 | | 2017 |
| EMC2 2019 X Xie, X Hu, Y Ji, Y Xie, CE Wu, YM Chan, CS Chen, U Thakker, J Beu, ... | | |
Yuan XieChair Professor of Hong Kong University of Science and Technology (HKUST)Verified email at ust.hk
