Xiaocong Du

Orcid: 0000-0002-1079-0347

According to our database1, Xiaocong Du authored at least 24 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Layer Compression of Deep Networks with Straight Flows.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Improved Stochastic Recurrent Networks for Nonlinear State Space System Identification.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

2022
Efficient continual learning at the edge with progressive segmented training.
Neuromorph. Comput. Eng., December, 2022

Exploring Model Stability of Deep Neural Networks for Reliable RRAM-Based In-Memory Acceleration.
IEEE Trans. Computers, 2022

Future gradient descent for adapting the temporal shifting data distribution in online recommendation systems.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Harmless Transfer Learning for Item Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

2021
Robust RRAM-based In-Memory Computing in Light of Model Stability.
Proceedings of the IEEE International Reliability Physics Symposium, 2021

Evolutionary NAS in Light of Model Stability for Accurate Continual Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020
Efficient and Online Deep Learning through Model Plasticity and Stability.
PhD thesis, 2020

GAR: Graph Assisted Reasoning for Object Detection.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Online Knowledge Acquisition with the Selective Inherited Model.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Efficient and Modularized Training on FPGA for Real-time Applications.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

DAT-RNN: Trajectory Prediction with Diverse Attention.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Accurate Inference with Inaccurate RRAM Devices: Statistical Data, Model Transfer, and On-line Adaptation.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Noise-based Selection of Robust Inherited Model for Accurate Continual Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Efficient Network Construction Through Structural Plasticity.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2019

Structural Pruning in Deep Neural Networks: A Small-World Approach.
CoRR, 2019

Towards Efficient Neural Networks On-a-chip: Joint Hardware-Algorithm Approaches.
CoRR, 2019

Single-Net Continual Learning with Progressive Segmented Training (PST).
CoRR, 2019

CGaP: Continuous Growth and Pruning for Efficient Deep Learning.
CoRR, 2019

Single-Net Continual Learning with Progressive Segmented Training.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018
Process Scalability of Pulse-Based Circuits for Analog Image Convolution.
IEEE Trans. Circuits Syst. I Regul. Pap., 2018

2016
A Memristor Crossbar Based Computing Engine Optimized for High Speed and Accuracy.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2016


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