Guoqiang Zhang

About Guoqiang Zhang

Guoqiang Zhang, With an exceptional h-index of 17 and a recent h-index of 13 (since 2020), a distinguished researcher at University of Technology Sydney, specializes in the field of Diffusion models, distributed optimization, convex/nonconvex optimization.

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

On Optimizing Timesteps of An EDM Based Diffusion Sampling Procedure

Distributed Optimisation with Linear Equality and Inequality Constraints using PDMM

On Accelerating Diffusion-Based Sampling Process via Improved Integration Approximation

CoordiNet: Constrained Dynamics Learning for State Coordination Over Graph

A DNN Optimizer that Improves over AdaBelief by Suppression of the Adaptive Stepsize Range

On Suppressing Range of Adaptive Stepsizes of Adam to Improve Generalisation Performance

Exact Diffusion Inversion via Bi-directional Integration Approximation

Lookahead Diffusion Probabilistic Models for Refining Mean Estimation

Guoqiang Zhang Information

University

Position

___

Citations(all)

1271

Citations(since 2020)

788

Cited By

749

hIndex(all)

17

hIndex(since 2020)

13

i10Index(all)

29

i10Index(since 2020)

17

Email

University Profile Page

Google Scholar

Guoqiang Zhang Skills & Research Interests

Diffusion models

distributed optimization

convex/nonconvex optimization

Top articles of Guoqiang Zhang

Title

Journal

Author(s)

Publication Date

On Optimizing Timesteps of An EDM Based Diffusion Sampling Procedure

Huiwen Luo

Guoqiang Zhang

2024/5

Distributed Optimisation with Linear Equality and Inequality Constraints using PDMM

Richard Heusdens

Guoqiang Zhang

2024/2

On Accelerating Diffusion-Based Sampling Process via Improved Integration Approximation

G. Zhang

K. Niwa

W. B. Kleijn

2024

CoordiNet: Constrained Dynamics Learning for State Coordination Over Graph

IEEE Trans. Signal and Information Processing over Networks

K. Niwa

N. Ueda

H. Sawada

A. Fujino

S. Takeda

...

2023/2

A DNN Optimizer that Improves over AdaBelief by Suppression of the Adaptive Stepsize Range

Trans. Machine Learning Research (TMLR)

G. Zhang

K. Niwa

W. B. Kleijn

2023/9

On Suppressing Range of Adaptive Stepsizes of Adam to Improve Generalisation Performance

Guoqiang Zhang

2023/2

Exact Diffusion Inversion via Bi-directional Integration Approximation

G. Zhang

J. P. Lewis

W. B. Kleijn

2023/7

Lookahead Diffusion Probabilistic Models for Refining Mean Estimation

G. Zhang

K. Niwa

W. B. Kleijn

2023/6

A cycle architecture based on policy gradient for unsupervised Video Summarization

Yubo An

Shenghui Zhao

Guoqiang Zhang

2023/5

A Distributed Algorithm for Personal Sound Zones Systems

arXiv preprint arXiv:2311.12427

Sipei Zhao

Guoqiang Zhang

Eva Cheng

Ian S Burnett

2023/11/21

On eigenvalue shaping for two-channel decentralized active noise control systems

Applied Acoustics

S. Pradhan

G. Zhang

S. Zhao

K. Niwa

W. Bastiaan Kleijn

2023/3

Robust improved multiband-structured subband adaptive filter for active noise control with impulsive interference

The Journal of the Acoustical Society of America

Somanath Pradhan

Guoqiang Zhang

Xiaojun Qiu

JC Ji

Jeffrey Parnell

2023/10/1

A Stacking Ensemble Approach for Supervised Video Summarization

Y An

S. Zhao

G. Zhang

2022/11

SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional Networks

IEEE Transactions on Neural Networks and Learning Systems

Haimin Zhang

Min Xu

Guoqiang Zhang

Kenta Niwa

2022/7/22

Revisiting the Primal-Dual Method of Multipliers for Optimisation over Centralised Networks

Guoqiang Zhang

Kenta Niwa

W. Bastiaan Kleijn

2022/2

Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization

IEEE Transactions on Pattern Analysis and Machine Intelligence

Jiyang Xie

Zhanyu Ma

Jianjun Lei

Guoqiang Zhang

Jing-Hao Xue

...

2021/5/24

Extending AdamW by Leveraging Its Second Moment and Magnitude

Guoqiang Zhang

Niwa Kenta

W. Bastiaan Kleijn

2021/12

DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference in Image Recognition

IEEE Transactions on Image Processing

Jiyang Xie

Zhanyu Ma

Jing-Hao Xue

Guoqiang Zhang

Jian Sun

...

2021/11/5

GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention

IEEE Transactions on Pattern Analysis and Machine Intelligence

Jiyang Xie

Zhanyu Ma

Dongliang Chang

Guoqiang Zhang

Jun Guo

2021/8/10

Sentence Semantic Matching with Hierarchical CNN Based on Dimension-augmented Representation

Rui Yu

Wenpeng Lu

Yifeng Li

Jiguo Yu

Guoqiang Zhang

...

2021/7

See List of Professors in Guoqiang Zhang University(University of Technology Sydney)

Co-Authors

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