Zheng Li

Affiliations:
  • Arizona State University, School of Computing, Informatics, and Decision Systems Engineering, Tempe, AZ, USA


According to our database1, Zheng Li authored at least 13 papers between 2019 and 2022.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

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Bibliography

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

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

2020
Visual Perception, Prediction and Understanding with Relations.
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

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

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

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


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