Guoqiang Zhang

Orcid: 0000-0003-4521-542X

Affiliations:
  • University of Technology Sydney, School of Computing and Communications, Ultimo, NSW, Australia
  • Delft University of Technology, Signal and Information Processing Lab, The Netherlands
  • Royal Institute of Technology, Stockholm, Sweden (PhD 2010)


According to our database1, Guoqiang Zhang authored at least 78 papers between 2005 and 2024.

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

Timeline

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Bibliography

2024
Learning Graph Representations Through Learning and Propagating Edge Features.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional Networks.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Distributed Optimisation With Linear Equality and Inequality Constraints Using PDMM.
IEEE Trans. Signal Inf. Process. over Networks, 2024

On Exact Bit-level Reversible Transformers Without Changing Architectures.
CoRR, 2024

Distributed Nonlinear Conic Optimisation with partially separable Structure.
CoRR, 2024

On Accelerating Diffusion-Based Sampling Processes via Improved Integration Approximation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Exact Diffusion Inversion via Bidirectional Integration Approximation.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
CoordiNet: Constrained Dynamics Learning for State Coordination Over Graph.
IEEE Trans. Signal Inf. Process. over Networks, 2023

A DNN Optimizer that Improves over AdaBelief by Suppression of the Adaptive Stepsize Range.
Trans. Mach. Learn. Res., 2023

Exact Diffusion Inversion via Bi-directional Integration Approximation.
CoRR, 2023

On Accelerating Diffusion-Based Sampling Process via Improved Integration Approximation.
CoRR, 2023

A Cycle Architecture Based on Policy Gradient for Unsupervised Video Summarization.
Proceedings of the 15th International Conference on Digital Image Processing, 2023

Lookahead Diffusion Probabilistic Models for Refining Mean Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Revisiting the Primal-Dual Method of Multipliers for Optimisation Over Centralised Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2022

Advanced Dropout: A Model-Free Methodology for Bayesian Dropout Optimization.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

On Exploiting Layerwise Gradient Statistics for Effective Training of Deep Neural Networks.
CoRR, 2022

A Stacking Ensemble Approach for Supervised Video Summarization.
Proceedings of the 4th International Conference on Video, Signal and Image Processing, 2022

2021
DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference in Image Recognition.
IEEE Trans. Image Process., 2021

Extending AdamW by Leveraging Its Second Moment and Magnitude.
CoRR, 2021

Sentence Semantic Matching with Hierarchical CNN Based on Dimension-augmented Representation.
Proceedings of the International Joint Conference on Neural Networks, 2021

Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Microphone Array Wiener Post Filtering Using Monotone Operator Splitting.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

Chinese medical question answer selection via hybrid models based on CNN and GRU.
Multim. Tools Appl., 2020

DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference.
CoRR, 2020

Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization.
CoRR, 2020

Channel Attention with Embedding Gaussian Process: A Probabilistic Methodology.
CoRR, 2020

Chinese Sentence Semantic Matching Based on Multi-Granularity Fusion Model.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Edge-consensus Learning: Deep Learning on P2P Networks with Nonhomogeneous Data.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Object Detection and 3d Estimation Via an FMCW Radar Using a Fully Convolutional Network.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Projected Weight Regularization to Improve Neural Network Generalization.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Intra-Correlation Encoding for Chinese Sentence Intention Matching.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Decentralized Two-Channel Active Noise Control for Single Frequency by Shaping Matrix Eigenvalues.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

Approximated Orthonormal Normalisation in Training Neural Networks.
CoRR, 2019

Rapidly Adapting Moment Estimation.
CoRR, 2019

Bifurcation analysis of dynamic pricing processes with nonlinear external reference effects.
Commun. Nonlinear Sci. Numer. Simul., 2019

Soft Dropout And Its Variational Bayes Approximation.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Fast Edge-consensus Computing Based on Bregman Monotone Operator Splitting.
Proceedings of the IEEE International Conference on Acoustics, 2019

Period adding bifurcations in dynamic pricing processes.
Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2019

2018
Wireless Personal Communications: Machine Learning for Big Data Processing in Mobile Internet.
Wirel. Pers. Commun., 2018

Distributed Optimization Using the Primal-Dual Method of Multipliers.
IEEE Trans. Signal Inf. Process. over Networks, 2018

Function Splitting and Quadratic Approximation of the Primal-Dual Method of Multipliers for Distributed Optimization Over Graphs.
IEEE Trans. Signal Inf. Process. over Networks, 2018

Effectiveness of Scaled Exponentially-Regularized Linear Units (SERLUs).
CoRR, 2018

On Convergence Analysis of Gradient Based Primal-Dual Method of Multipliers.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Edge Consensus Computing for Heterogeneous Data Sets.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Balson: Bayesian least squares Optimization with Nonnegative L1-norm Constraint.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Training Deep Neural Networks via Optimization Over Graphs.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
On Relationship between Primal-Dual Method of Multipliers and Kalman Filter.
CoRR, 2017

2016
On simplifying the primal-dual method of multipliers.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Bi-alternating direction method of multipliers over graphs.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Convergence of Min-Sum-Min Message-Passing for Quadratic Optimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

On the convergence rate of the bi-alternating direction method of multipliers.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Multiple Description Distribution Preserving Quantization.
IEEE Trans. Signal Process., 2013

Large Scale LP Decoding with Low Complexity.
IEEE Commun. Lett., 2013

Proximal alternating-direction message-passing for MAP LP relaxation.
Proceedings of the IEEE International Conference on Acoustics, 2013

Simplified alternating-direction message passing for dual MAP LP-relaxation.
Proceedings of the IEEE International Conference on Acoustics, 2013

Bi-alternating direction method of multipliers.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Optimal Index Assignment for Multiple Description Scalar Quantization With Translated Lattice Codebooks.
IEEE Trans. Signal Process., 2012

Linear Coordinate-Descent Message Passing for Quadratic Optimization.
Neural Comput., 2012

Distributed MVDR Beamforming for (Wireless) Microphone Networks Using Message Passing.
Proceedings of the IWAENC 2012 - International Workshop on Acoustic Signal Enhancement, Proceedings, RWTH Aachen University, Germany, September 4th, 2012

Convergence of generalized linear coordinate-descent message-passing for quadratic optimization.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Generalized linear coordinate-descent message-passing for convex optimization.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
A Stratified Approach for Camera Calibration Using Spheres.
IEEE Trans. Image Process., 2011

High-Rate Analysis of Symmetric L-Channel Multiple Description Coding.
IEEE Trans. Commun., 2011

Optimal Index Assignment for Multiple Description Scalar Quantization
CoRR, 2011

Bounding the Rate Region of the Two-Terminal Vector Gaussian CEO Problem.
Proceedings of the 2011 Data Compression Conference (DCC 2011), 2011

2010
Robust Multimedia Communications over Packet Networks.
PhD thesis, 2010

Adaptive playout scheduling for VoIP using the k-Erlang distribution.
Proceedings of the 18th European Signal Processing Conference, 2010

Bounding the Rate Region of Vector Gaussian Multiple Descriptions with Individual and Central Receivers.
Proceedings of the 2010 Data Compression Conference (DCC 2010), 2010

2009
Analysis of K-Channel Multiple Description Quantization.
Proceedings of the 2009 Data Compression Conference (DCC 2009), 2009

2008
1D Camera Geometry and Its Application to the Self-Calibration of Circular Motion Sequences.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Autoregressive model-based speech packet-loss concealment.
Proceedings of the IEEE International Conference on Acoustics, 2008

Band control policy of playout scheduling for voice over IP.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
Camera Calibration from Images of Spheres.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

2006
Motion Estimation from Spheres.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

1D Camera Geometry and Its Application to Circular Motion Estimation.
Proceedings of the British Machine Vision Conference 2006, 2006

2005
Camera calibration with spheres: linear approaches.
Proceedings of the 2005 International Conference on Image Processing, 2005

Auto-Calibration and Motion Recovery from Silhouettes for Turntable Sequences.
Proceedings of the British Machine Vision Conference 2005, Oxford, UK, September 2005, 2005


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