Xiaocong Du
Xiaocong Du
Machine Learning Engineer at Facebook; Ph.D. from ASU
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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
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
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
Cgap: Continuous growth and pruning for efficient deep learning
X Du, Z Li, Y Cao
arXiv preprint arXiv:1905.11533, 2019, 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
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
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
Structural Pruning in Deep Neural Networks: A Small-World Approach
G Krishnan, X Du, Y Cao, 2019
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
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
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
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
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
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, 2022
Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation System
M Ye, R Jiang, H Wang, D Choudhary, X Du, B Bhushanam, A Mokhtari, ...
The 38th Conference on Uncertainty in Artificial Intelligence, 2022
Reliable RRAM-based In-Memory Computing in Light of Model Stability
G Krishnan, L Yang, J Sun, J Hazra, X Du, M Liehr, K Beckmann, R Joshi, ...
ACM/IEEE Design Automation Conference, 2021
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