pu zhao

pu zhao

North Eastern University

H-index: 18

Asia-Thailand

About pu zhao

pu zhao, With an exceptional h-index of 18 and a recent h-index of 18 (since 2020), a distinguished researcher at North Eastern University, specializes in the field of Adversarial learning, image classification, deep learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Detection and recovery against deep neural network fault injection attacks based on contrastive learning

InstructGIE: Towards Generalizable Image Editing

DiffClass: Diffusion-Based Class Incremental Learning

EdgeQAT: Entropy and Distribution Guided Quantization-Aware Training for the Acceleration of Lightweight LLMs on the Edge

Mitigating adversarial effects in machine learning systems

Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network

Pruning parameterization with bi-level optimization for efficient semantic segmentation on the edge

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

pu zhao Information

University

Position

___

Citations(all)

1256

Citations(since 2020)

1213

Cited By

355

hIndex(all)

18

hIndex(since 2020)

18

i10Index(all)

25

i10Index(since 2020)

25

Email

University Profile Page

North Eastern University

Google Scholar

View Google Scholar Profile

pu zhao Skills & Research Interests

Adversarial learning

image classification

deep learning

Top articles of pu zhao

Title

Journal

Author(s)

Publication Date

Detection and recovery against deep neural network fault injection attacks based on contrastive learning

arXiv preprint arXiv:2401.16766

Chenan Wang

Pu Zhao

Siyue Wang

Xue Lin

2024/1/30

InstructGIE: Towards Generalizable Image Editing

arXiv preprint arXiv:2403.05018

Zichong Meng

Changdi Yang

Jun Liu

Hao Tang

Pu Zhao

...

2024/3/8

DiffClass: Diffusion-Based Class Incremental Learning

arXiv preprint arXiv:2403.05016

Zichong Meng

Jie Zhang

Changdi Yang

Zheng Zhan

Pu Zhao

...

2024/3/8

EdgeQAT: Entropy and Distribution Guided Quantization-Aware Training for the Acceleration of Lightweight LLMs on the Edge

arXiv preprint arXiv:2402.10787

Xuan Shen

Zhenglun Kong

Changdi Yang

Zhaoyang Han

Lei Lu

...

2024/2/16

Mitigating adversarial effects in machine learning systems

2023/1/31

Gaining the Sparse Rewards by Exploring Binary Lottery Tickets in Spiking Neural Network

arXiv preprint arXiv:2309.13302

Hao Cheng

Jiahang Cao

Erjia Xiao

Pu Zhao

Mengshu Sun

...

2023/9/23

Pruning parameterization with bi-level optimization for efficient semantic segmentation on the edge

Changdi Yang

Pu Zhao

Yanyu Li

Wei Niu

Jiexiong Guan

...

2023

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

Yifan Gong

Pu Zhao

Zheng Zhan

Yushu Wu

Chao Wu

...

2023/7/9

Towards real-time segmentation on the edge

Proceedings of the AAAI Conference on Artificial Intelligence

Yanyu Li

Changdi Yang

Pu Zhao

Geng Yuan

Wei Niu

...

2023/6/26

Less is More: Data Pruning for Faster Adversarial Training

arXiv preprint arXiv:2302.12366

Yize Li

Pu Zhao

Xue Lin

Bhavya Kailkhura

Ryan Goldhahn

2023/2/23

Efficient Multi-Prize Lottery Tickets: Enhanced Accuracy, Training, and Inference Speed

arXiv preprint arXiv:2209.12839

Hao Cheng

Pu Zhao

Yize Li

Xue Lin

James Diffenderfer

...

2022/9/26

More or less (mol): Defending against multiple perturbation attacks on deep neural networks through model ensemble and compression

Hao Cheng

Kaidi Xu

Zhengang Li

Pu Zhao

Chenan Wang

...

2022/1/4

Automatic mapping of the best-suited DNN pruning schemes for real-time mobile acceleration

ACM Transactions on Design Automation of Electronic Systems (TODAES)

Yifan Gong

Geng Yuan

Zheng Zhan

Wei Niu

Zhengang Li

...

2022/6/6

Pruning-as-search: Efficient neural architecture search via channel pruning and structural reparameterization

arXiv preprint arXiv:2206.01198

Yanyu Li

Pu Zhao

Geng Yuan

Xue Lin

Yanzhi Wang

...

2022/6/2

Advancing model pruning via bi-level optimization

Advances in Neural Information Processing Systems

Yihua Zhang

Yuguang Yao

Parikshit Ram

Pu Zhao

Tianlong Chen

...

2022/12/6

Power management in hybrid electric vehicles using deep recurrent reinforcement learning

Electrical Engineering

Mengshu Sun

Pu Zhao

Xue Lin

2022/6

All-in-one: A highly representative dnn pruning framework for edge devices with dynamic power management

Yifan Gong

Zheng Zhan

Pu Zhao

Yushu Wu

Chao Wu

...

2022/10/30

Blcr: Towards real-time dnn execution with block-based reweighted pruning

Xiaolong Ma

Geng Yuan

Zhengang Li

Yifan Gong

Tianyun Zhang

...

2022/4/6

Compiler-aware neural architecture search for on-mobile real-time super-resolution

Yushu Wu

Yifan Gong

Pu Zhao

Yanyu Li

Zheng Zhan

...

2022/10/23

Achieving on-mobile real-time super-resolution with neural architecture and pruning search

Zheng Zhan

Yifan Gong

Pu Zhao

Geng Yuan

Wei Niu

...

2021/8

See List of Professors in pu zhao University(North Eastern University)

Co-Authors

H-index: 41
Sijia Liu

Sijia Liu

Michigan State University

H-index: 17
Zhengang Li

Zhengang Li

Northeastern University

H-index: 13
Siyue Wang

Siyue Wang

Northeastern University

H-index: 11
Mengshu Sun

Mengshu Sun

Northeastern University

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