Xin Dong
Xin Dong
Verified email at g.harvard.edu - Homepage
Title
Cited by
Cited by
Year
Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon
X Dong, S Chen, SJ Pan
Advances in Neural Information Processing Systems 30 (NIPS 2017) pre-proceedings, 2017
2332017
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
S Zhu, X Dong, H Su
2019 Conference on Computer Vision and Pattern Recognition, 2019
842019
Additive powers-of-two quantization: An efficient non-uniform discretization for neural networks
Y Li, X Dong, W Wang
arXiv preprint arXiv:1909.13144, 2019
682019
Full-stack optimization for accelerating cnns using powers-of-two weights with fpga validation
B McDanel, SQ Zhang, HT Kung, X Dong
Proceedings of the ACM International Conference on Supercomputing, 449-460, 2019
162019
A Main/Subsidiary Network Framework for Simplifying Binary Neural Network
Y Xu*, X Dong*, Y Li, H Su
2019 Conference on Computer Vision and Pattern Recognition, 2019
132019
exBERT: Extending Pre-trained Models with Domain-specific Vocabulary Under Constrained Training Resources
W Tai, HT Kung, XL Dong, M Comiter, CF Kuo
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
122020
Rtn: Reparameterized ternary network
Y Li, X Dong, SQ Zhang, H Bai, Y Chen, W Wang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4780-4787, 2020
72020
Maestro: A memory-on-logic architecture for coordinated parallel use of many systolic arrays
HT Kung, B McDanel, SQ Zhang, X Dong, CC Chen
2019 IEEE 30th International Conference on Application-specific Systems …, 2019
72019
Efficient bitwidth search for practical mixed precision neural network
Y Li, W Wang, H Bai, R Gong, X Dong, F Yu
arXiv preprint arXiv:2003.07577, 2020
32020
Dms: Differentiable dimension search for binary neural networks
Y Li, R Gong, F Yu, X Dong, X Liu
International Conference on Learning Representations, 2020
22020
Full-stack Optimization for Accelerating CNNs with FPGA Validation
B McDanel*, SQ Zhang*, HT Kung, X Dong
The 33rd ACM International Conference on Supercomputing, 2019
12019
Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion
X Dong, H Yin, JM Alvarez, J Kautz, P Molchanov
arXiv preprint arXiv:2107.06304, 2021
2021
A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration
Y Li, S Deng, X Dong, R Gong, S Gu
arXiv preprint arXiv:2106.06984, 2021
2021
Lightweight Detection of Out-of-Distribution and Adversarial Samples via Channel Mean Discrepancy
X Dong, J Guo, WT Ting, HT Kung
arXiv preprint arXiv:2104.11408, 2021
2021
Training for multi-resolution inference using reusable quantization terms
SQ Zhang, B McDanel, HT Kung, X Dong
Proceedings of the 26th ACM International Conference on Architectural …, 2021
2021
MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing
Y Li, F Zhu, R Gong, M Shen, X Dong, F Yu, S Lu, S Gu
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
2021
Low-frequency oscillation evaluation modeling of functional brain activity potential
Y Li, X Dong, Q Li, T Li
2016 IEEE International Nanoelectronics Conference (INEC), 1-2, 2016
2016
DMS: Differentiable Dimension Search for Binary Neural Networks Download PDF
Y Li, R Gong, F Yu, X Dong, X Liu
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? Supplementary Material
S Zhu, X Dong, H Su
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