Zheng Zhan

Orcid: 0000-0002-3882-5484

Affiliations:

Syracuse University

According to our database¹, Zheng Zhan authored at least 35 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Other

Bibliography

2024

Fast and Memory-Efficient Video Diffusion Using Streamlined Inference.

[BibT_eX]

[DOI]

CoRR, 2024

Exploring Token Pruning in Vision State Space Models.

[BibT_eX]

[DOI]

CoRR, 2024

Search for Efficient Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Efficient Training with Denoised Neural Weights.

[BibT_eX]

[DOI]

CoRR, 2024

E<sup>2</sup>GAN: Efficient Training of Efficient GANs for Image-to-Image Translation.

[BibT_eX]

[DOI]

CoRR, 2024

E2GAN: Efficient Training of Efficient GANs for Image-to-Image Translation.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Rethinking Token Reduction for State Space Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

DiffClass: Diffusion-Based Class Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Efficient Training with Denoised Neural Weights.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

LOTUS: learning-based online thermal and latency variation management for two-stage detectors on edge devices.

[BibT_eX]

[DOI]

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

2023

DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2023

DualHSIC: HSIC-Bottleneck and Alignment for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

MOC: Multi-Objective Mobile CPU-GPU Co-Optimization for Power-Efficient DNN Inference.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Condense: A Framework for Device and Frequency Adaptive Neural Network Models on the Edge.

[BibT_eX]

[DOI]

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration.

[BibT_eX]

[DOI]

ACM Trans. Design Autom. Electr. Syst., 2022

Radio Frequency Fingerprinting on the Edge.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., 2022

SparCL: Sparse Continual Learning on the Edge.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

BLCR: Towards Real-time DNN Execution with Block-based Reweighted Pruning.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management.

[BibT_eX]

[DOI]

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Representation Learning on Spatial Networks.

[BibT_eX]

[DOI]

Zheng Zhan

Liang Zhao

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

A Unified DNN Weight Pruning Framework Using Reweighted Optimization Methods.

[BibT_eX]

[DOI]

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration.

[BibT_eX]

[DOI]

CoRR, 2020

A Unified DNN Weight Compression Framework Using Reweighted Optimization Methods.

[BibT_eX]

[DOI]

CoRR, 2020

A Privacy-Preserving DNN Pruning and Mobile Acceleration Framework.

[BibT_eX]

[DOI]

CoRR, 2020

SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of DNNs with Ultra-High Efficiency.

[BibT_eX]

[DOI]

CoRR, 2020

BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework.

[BibT_eX]

[DOI]

Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

2019

<i>Chic</i>: experience-driven scheduling in machine learning clusters.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Quality of Service, 2019

Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2014

Complexity science management and big data.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Granular Computing, 2014

Zheng Zhan

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