Yu Ji
Yu Ji
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Neural network transformation under hardware constraints
Y Zhang, Y Ji, W Chen, Y Xie
Proceedings of the International Conference on Compilers, Architectures and …, 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
QGAN: Quantize Generative Adversarial Networks to Extreme low-bits
P Wang, Y Ji, X Xie, Y Lyu, D Wang, Y Xie
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
EMC2 2019
X Xie, X Hu, Y Ji, Y Xie, CE Wu, YM Chan, CS Chen, U Thakker, J Beu, ...
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