|A memristor crossbar based computing engine optimized for high speed and accuracy|
C Liu, Q Yang, B Yan, J Yang, X Du, W Zhu, H Jiang, Q Wu, M Barnell, ...
2016 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 110-115, 2016
|Random Sparse Adaptation for Accurate Inference with Inaccurate Multi-Level RRAM Arrays|
A Mohanty, X Du, PY Chen, J Seo, S Yu, Y Cao
IEEE International Electron Devices Meeting (IEDM), 2017
|Accurate inference with inaccurate rram devices: A joint algorithm-design solution|
G Charan, A Mohanty, X Du, G Krishnan, RV Joshi, Y Cao
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits 6 …, 2020
|Accurate Inference with Inaccurate RRAM Devices: Statistical Data, Model Transfer, and On-line Adaptation|
G Charan, J Hazra, K Beckmann, X Du, G Krishnan, R Joshi, N Cady, ...
Design Automation Conference (DAC) 2020, 2020
|GAR: Graph Assisted Reasoning for Object Detection|
Z Li, X Du, Y Cao
The IEEE Winter Conference on Applications of Computer Vision (WACV), 1295-1304, 2020
|Efficient Network Construction through Structural Plasticity|
X Du, Z Li, Y Ma, Y Cao
Journal on Emerging and Selected Topics in Circuits and Systems 9 (3), 453 - 464, 2019
|Noise-Based Selection of Robust Inherited Model for Accurate Continual Learning|
X Du, Z Li, J Seo, F Liu, Y Cao
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
|Cgap: Continuous growth and pruning for efficient deep learning|
X Du, Z Li, Y Cao
arXiv preprint arXiv:1905.11533, 2019, 2019
|Towards Efficient Neural Networks On-a-chip: Joint Hardware-Algorithm Approaches|
X Du, G Krishnan, A Mohanty, Z Li, G Charan, Y Cao
2019 China Semiconductor Technology International Conference (CSTIC), 1-5, 2019
|Structural Pruning in Deep Neural Networks: A Small-World Approach|
G Krishnan, X Du, Y Cao
|Robust RRAM-based in-memory computing in light of model stability|
G Krishnan, J Sun, J Hazra, X Du, M Liehr, Z Li, K Beckmann, RV Joshi, ...
2021 IEEE International Reliability Physics Symposium (IRPS), 1-5, 2021
|Single-Net Continual Learning with Progressive Segmented Training (PST)|
X Du, G Charan, F Liu, Y Cao
2019 18th IEEE International Conference On Machine Learning And Applications …, 2019
|Exploring model stability of deep neural networks for reliable rram-based in-memory acceleration|
G Krishnan, L Yang, J Sun, J Hazra, X Du, M Liehr, Z Li, K Beckmann, ...
IEEE Transactions on Computers 71 (11), 2740-2752, 2022
|Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems|
X Du, B Bhushanam, J Yu, D Choudhary, T Gao, S Wong, L Feng, J Park, ...
IEEE ICMLA 2021, 2021
|Efficient and Modularized Training on FPGA for Real-time Applications|
SK Venkataramanaiah, X Du, Z Li, S Yin, Y Cao, J Seo
Proceedings of the Twenty-Ninth International Joint Conference on Artificial …, 2020
|Design Limits of In-Memory Computing: Beyond the Crossbar|
G Krishnan, J Hazra, M Liehr, X Du, K Beckmann, RV Joshi, NC Cady, ...
2021 5th IEEE Electron Devices Technology & Manufacturing Conference (EDTM), 1-3, 2021
|Online Knowledge Acquisition with the Selective Inherited Model|
X Du, SK Venkataramanaiah, Z Li, J Seo, F Liu, Y Cao
The International Joint Conference on Neural Networks (IJCNN) 2020. Best …, 2020
|Evolutionary NAS in Light of Model Stability for Accurate Continual Learning|
FLYC Xiaocong Du, Zheng Li, Jingbo Sun
2021 International Joint Conference on Neural Networks (IJCNN), 2021
|Process Scalability of Pulse-Based Circuits for Analog Image Convolution|
R D’Angelo, X Du, CD Salthouse, B Hollosi, G Freifeld, W Uy, H Huang, ...
IEEE Transactions on Circuits and Systems I: Regular Papers 65 (9), 2929-2938, 2018
|Efficient continual learning at the edge with progressive segmented training|
X Du, SK Venkataramanaiah, Z Li, HS Suh, S Yin, G Krishnan, F Liu, ...
Neuromorphic Computing and Engineering 2 (4), 044006, 2022