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ORCIDGuoqiang Zhang 0003
Person information
- affiliation: University of Technology Sydney, School of Computing and Communications, Ultimo, NSW, Australia
- affiliation: Delft University of Technology, Signal and Information Processing Lab, The Netherlands
- affiliation (PhD 2010): Royal Institute of Technology, Stockholm, Sweden
Other persons with the same name
- Guoqiang Zhang — disambiguation page
- Guo-Qiang Zhang 0001
![[0000-0002-3663-1109]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-3663-1109")
(aka: Guoqiang Zhang 0001) — University of Texas, Health Science Center at Houston, TX, USA (and 3 more) - Guoqiang Zhang 0004 — Nanjing Normal University, School of Computer Science and Technology, China (and 1 more)
- Guoqiang Zhang 0005 — Renesas Electronics Corporation, Tokyo, Japan (and 1 more)
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Books and Theses
- 2010
[b1]Guoqiang Zhang:
Robust Multimedia Communications over Packet Networks. Royal Institute of Technology, Stockholm, Sweden, 2010
Journal Articles
- 2024
- [j21]Haimin Zhang, Min Xu, Guoqiang Zhang, Kenta Niwa:
SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional Networks. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2223-2234 (2024) - [j20]Haimin Zhang, Jiahao Xia, Guoqiang Zhang, Min Xu:
Learning Graph Representations Through Learning and Propagating Edge Features. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8429-8440 (2024) - [j19]Richard Heusdens, Guoqiang Zhang:
Distributed Optimisation With Linear Equality and Inequality Constraints Using PDMM. IEEE Trans. Signal Inf. Process. over Networks 10: 294-306 (2024) - 2023
- [j18]Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn:
A DNN Optimizer that Improves over AdaBelief by Suppression of the Adaptive Stepsize Range. Trans. Mach. Learn. Res. 2023 (2023) - [j17]Kenta Niwa, Naonori Ueda, Hiroshi Sawada, Akinori Fujino, Shoichiro Takeda, Guoqiang Zhang, W. Bastiaan Kleijn:
CoordiNet: Constrained Dynamics Learning for State Coordination Over Graph. IEEE Trans. Signal Inf. Process. over Networks 9: 242-257 (2023) - 2022
- [j16]Jiyang Xie, Zhanyu Ma, Jianjun Lei, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan, Jun Guo:
Advanced Dropout: A Model-Free Methodology for Bayesian Dropout Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4605-4625 (2022) - [j15]Jiyang Xie, Zhanyu Ma, Dongliang Chang, Guoqiang Zhang, Jun Guo:
GPCA: A Probabilistic Framework for Gaussian Process Embedded Channel Attention. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8230-8248 (2022) - [j14]Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn:
Revisiting the Primal-Dual Method of Multipliers for Optimisation Over Centralised Networks. IEEE Trans. Signal Inf. Process. over Networks 8: 228-243 (2022) - 2021
- [j13]Jiyang Xie, Zhanyu Ma, Jing-Hao Xue, Guoqiang Zhang, Jian Sun, Yinhe Zheng, Jun Guo:
DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference in Image Recognition. IEEE Trans. Image Process. 30: 9208-9219 (2021) - 2020
- [j12]Yuteng Zhang, Wenpeng Lu, Weihua Ou, Guoqiang Zhang, Xu Zhang, Jinyong Cheng, Weiyu Zhang:
Chinese medical question answer selection via hybrid models based on CNN and GRU. Multim. Tools Appl. 79(21-22): 14751-14776 (2020) - [j11]Kenta Niwa, Hironobu Chiba, Noboru Harada, Guoqiang Zhang, W. Bastiaan Kleijn:
Microphone Array Wiener Post Filtering Using Monotone Operator Splitting. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2036-2046 (2020) - 2019
- [j10]Shuixiu Lu, Sebastian Oberst, Guoqiang Zhang, Zongwei Luo:
Bifurcation analysis of dynamic pricing processes with nonlinear external reference effects. Commun. Nonlinear Sci. Numer. Simul. 79: 104929 (2019) - [j9]Guoqiang Zhang, Jiancheng Tao, Xiaojun Qiu, Ian S. Burnett:
Decentralized Two-Channel Active Noise Control for Single Frequency by Shaping Matrix Eigenvalues. IEEE ACM Trans. Audio Speech Lang. Process. 27(1): 44-52 (2019) - 2018
- [j8]Guoqiang Zhang, Richard Heusdens:
Distributed Optimization Using the Primal-Dual Method of Multipliers. IEEE Trans. Signal Inf. Process. over Networks 4(1): 173-187 (2018) - [j7]Matthew O'Connor, Guoqiang Zhang, W. Bastiaan Kleijn, Thushara Dheemantha Abhayapala:
Function Splitting and Quadratic Approximation of the Primal-Dual Method of Multipliers for Distributed Optimization Over Graphs. IEEE Trans. Signal Inf. Process. over Networks 4(4): 656-666 (2018) - [j6]Jun Guo, Zheng-Hua Tan, Sung Ho Cho, Guoqiang Zhang:
Wireless Personal Communications: Machine Learning for Big Data Processing in Mobile Internet. Wirel. Pers. Commun. 102(3): 2093-2098 (2018) - 2013
- [j5]Guoqiang Zhang, Richard Heusdens, W. Bastiaan Kleijn:
Large Scale LP Decoding with Low Complexity. IEEE Commun. Lett. 17(11): 2152-2155 (2013) - [j4]Janusz Klejsa, Guoqiang Zhang, Minyue Li, W. Bastiaan Kleijn:
Multiple Description Distribution Preserving Quantization. IEEE Trans. Signal Process. 61(24): 6410-6422 (2013) - 2012
- [j3]Guoqiang Zhang, Richard Heusdens:
Linear Coordinate-Descent Message Passing for Quadratic Optimization. Neural Comput. 24(12): 3340-3370 (2012) - [j2]Guoqiang Zhang, Janusz Klejsa, W. Bastiaan Kleijn:
Optimal Index Assignment for Multiple Description Scalar Quantization With Translated Lattice Codebooks. IEEE Trans. Signal Process. 60(8): 4444-4451 (2012) - 2011
- [j1]Guoqiang Zhang, Jan Østergaard, Janusz Klejsa, W. Bastiaan Kleijn:
High-Rate Analysis of Symmetric L-Channel Multiple Description Coding. IEEE Trans. Commun. 59(7): 1846-1856 (2011)
Conference and Workshop Papers
- 2024
- [c34]Guoqiang Zhang, John P. Lewis, W. Bastiaan Kleijn:
Exact Diffusion Inversion via Bidirectional Integration Approximation. ECCV (57) 2024: 19-36 - [c33]Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn:
On Accelerating Diffusion-Based Sampling Processes via Improved Integration Approximation. ICLR 2024 - 2023
- [c32]Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn:
Lookahead Diffusion Probabilistic Models for Refining Mean Estimation. CVPR 2023: 1421-1429 - [c31]Yubo An, Shenghui Zhao, Guoqiang Zhang:
A Cycle Architecture Based on Policy Gradient for Unsupervised Video Summarization. ICDIP 2023: 91:1-91:7 - 2022
- [c30]Yubo An, Shenghui Zhao, Guoqiang Zhang:
A Stacking Ensemble Approach for Supervised Video Summarization. VSIP 2022: 122-127 - 2021
- [c29]Kenta Niwa, Guoqiang Zhang, W. Bastiaan Kleijn, Noboru Harada, Hiroshi Sawada, Akinori Fujino:
Asynchronous Decentralized Optimization With Implicit Stochastic Variance Reduction. ICML 2021: 8195-8204 - [c28]Rui Yu, Wenpeng Lu, Yifeng Li, Jiguo Yu, Guoqiang Zhang, Xu Zhang:
Sentence Semantic Matching with Hierarchical CNN Based on Dimension-augmented Representation. IJCNN 2021: 1-8 - 2020
- [c27]Xu Zhang, Yifeng Li, Wenpeng Lu, Ping Jian, Guoqiang Zhang:
Intra-Correlation Encoding for Chinese Sentence Intention Matching. COLING 2020: 5193-5204 - [c26]Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn:
Projected Weight Regularization to Improve Neural Network Generalization. ICASSP 2020: 4242-4246 - [c25]Kenta Niwa, Noboru Harada, Guoqiang Zhang, W. Bastiaan Kleijn:
Edge-consensus Learning: Deep Learning on P2P Networks with Nonhomogeneous Data. KDD 2020: 668-678 - [c24]Xu Zhang, Wenpeng Lu, Guoqiang Zhang, Fangfang Li, Shoujin Wang:
Chinese Sentence Semantic Matching Based on Multi-Granularity Fusion Model. PAKDD (2) 2020: 246-257 - 2019
- [c23]Shuixiu Lu, Sebastian Oberst, Guoqiang Zhang, Zongwei Luo:
Period adding bifurcations in dynamic pricing processes. CIFEr 2019: 1-6 - [c22]Kenta Niwa, Guoqiang Zhang, W. Bastiaan Kleijn:
Fast Edge-consensus Computing Based on Bregman Monotone Operator Splitting. ICASSP 2019: 4609-4613 - [c21]Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan, Jun Guo:
Soft Dropout And Its Variational Bayes Approximation. MLSP 2019: 1-6 - 2018
- [c20]Guoqiang Zhang, W. Bastiaan Kleijn:
Training Deep Neural Networks via Optimization Over Graphs. ICASSP 2018: 4119-4123 - [c19]Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Jen-Tzung Chien, Zhiqing Lin, Jun Guo:
Balson: Bayesian least squares Optimization with Nonnegative L1-norm Constraint. MLSP 2018: 1-6 - [c18]Kenta Niwa, Guoqiang Zhang, W. Bastiaan Kleijn:
Edge Consensus Computing for Heterogeneous Data Sets. SSP 2018: 80-84 - 2016
- [c17]Guoqiang Zhang, Richard Heusdens:
On simplifying the primal-dual method of multipliers. ICASSP 2016: 4826-4830 - 2015
- [c16]Guoqiang Zhang, Richard Heusdens:
Bi-alternating direction method of multipliers over graphs. ICASSP 2015: 3571-3575 - 2014
- [c15]Guoqiang Zhang, Richard Heusdens, W. Bastiaan Kleijn:
On the convergence rate of the bi-alternating direction method of multipliers. ICASSP 2014: 3869-3873 - [c14]Guoqiang Zhang, Richard Heusdens:
Convergence of Min-Sum-Min Message-Passing for Quadratic Optimization. ECML/PKDD (3) 2014: 353-368 - 2013
- [c13]Guoqiang Zhang, Richard Heusdens:
Bi-alternating direction method of multipliers. ICASSP 2013: 3317-3321 - [c12]Guoqiang Zhang, Richard Heusdens:
Simplified alternating-direction message passing for dual MAP LP-relaxation. ICASSP 2013: 3397-3401 - [c11]Guoqiang Zhang, Richard Heusdens:
Proximal alternating-direction message-passing for MAP LP relaxation. ICASSP 2013: 3402-3406 - 2012
- [c10]Guoqiang Zhang, Richard Heusdens:
Linear coordinate-descent message-passing for quadratic optimization. ICASSP 2012: 2005-2008 - [c9]Guoqiang Zhang, Richard Heusdens:
Generalized linear coordinate-descent message-passing for convex optimization. ICASSP 2012: 2009-2012 - [c8]Guoqiang Zhang, Richard Heusdens:
Convergence of generalized linear coordinate-descent message-passing for quadratic optimization. ISIT 2012: 1997-2001 - [c7]Richard Heusdens, Guoqiang Zhang, Richard C. Hendriks, Yuan Zeng, W. Bastiaan Kleijn:
Distributed MVDR Beamforming for (Wireless) Microphone Networks Using Message Passing. IWAENC 2012 - 2011
- [c6]Guoqiang Zhang, W. Bastiaan Kleijn:
Bounding the Rate Region of the Two-Terminal Vector Gaussian CEO Problem. DCC 2011: 488 - 2010
- [c5]Guoqiang Zhang, W. Bastiaan Kleijn, Jan Østergaard:
Bounding the Rate Region of Vector Gaussian Multiple Descriptions with Individual and Central Receivers. DCC 2010: 13-19 - [c4]Haopeng Li, Guoqiang Zhang, W. Bastiaan Kleijn:
Adaptive playout scheduling for VoIP using the k-Erlang distribution. EUSIPCO 2010: 1494-1498 - 2009
- [c3]Guoqiang Zhang, Janusz Klejsa, W. Bastiaan Kleijn:
Analysis of K-Channel Multiple Description Quantization. DCC 2009: 53-62 - 2008
- [c2]Guoqiang Zhang, Henrik Lundin, W. Bastiaan Kleijn:
Band control policy of playout scheduling for voice over IP. EUSIPCO 2008: 1-5 - [c1]Guoqiang Zhang, W. Bastiaan Kleijn:
Autoregressive model-based speech packet-loss concealment. ICASSP 2008: 4797-4800
Informal and Other Publications
- 2024
- [i22]Richard Heusdens, Guoqiang Zhang:
Distributed Nonlinear Conic Optimisation with partially separable Structure. CoRR abs/2405.09490 (2024) - [i21]Guoqiang Zhang, J. P. Lewis, W. Bastiaan Kleijn:
On Exact Bit-level Reversible Transformers Without Changing Architectures. CoRR abs/2407.09093 (2024) - 2023
- [i20]Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn:
Lookahead Diffusion Probabilistic Models for Refining Mean Estimation. CoRR abs/2304.11312 (2023) - [i19]Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn:
On Accelerating Diffusion-Based Sampling Process via Improved Integration Approximation. CoRR abs/2304.11328 (2023) - [i18]Guoqiang Zhang, John P. Lewis, W. Bastiaan Kleijn:
Exact Diffusion Inversion via Bi-directional Integration Approximation. CoRR abs/2307.10829 (2023) - [i17]Richard Heusdens, Guoqiang Zhang:
Distributed Optimisation with Linear Equality and Inequality Constraints using PDMM. CoRR abs/2309.12897 (2023) - 2022
- [i16]Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn:
On Exploiting Layerwise Gradient Statistics for Effective Training of Deep Neural Networks. CoRR abs/2203.13273 (2022) - 2021
- [i15]Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn:
Revisiting the Primal-Dual Method of Multipliers for Optimisation over Centralised Networks. CoRR abs/2107.08809 (2021) - [i14]Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn:
Extending AdamW by Leveraging Its Second Moment and Magnitude. CoRR abs/2112.06125 (2021) - 2020
- [i13]Jiyang Xie, Dongliang Chang, Zhanyu Ma, Guoqiang Zhang, Jun Guo:
Channel Attention with Embedding Gaussian Process: A Probabilistic Methodology. CoRR abs/2003.04575 (2020) - [i12]Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan, Jun Guo:
Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization. CoRR abs/2010.05244 (2020) - [i11]Jiyang Xie, Zhanyu Ma, Jing-Hao Xue, Guoqiang Zhang, Jun Guo:
DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference. CoRR abs/2011.08595 (2020) - 2019
- [i10]Guoqiang Zhang, Haopeng Li, Fabian Wenger:
Object Detection and 3D Estimation via an FMCW Radar Using a Fully Convolutional Network. CoRR abs/1902.05394 (2019) - [i9]Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn:
Rapidly Adapting Moment Estimation. CoRR abs/1902.09030 (2019) - [i8]Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn:
Approximated Orthonormal Normalisation in Training Neural Networks. CoRR abs/1911.09445 (2019) - 2018
- [i7]Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Jen-Tzung Chien, Zhiqing Lin, Jun Guo:
BALSON: Bayesian Least Squares Optimization with Nonnegative L1-Norm Constraint. CoRR abs/1807.02795 (2018) - [i6]Guoqiang Zhang, Haopeng Li:
Effectiveness of Scaled Exponentially-Regularized Linear Units (SERLUs). CoRR abs/1807.10117 (2018) - 2017
- [i5]Guoqiang Zhang, Richard Heusdens:
Distributed Optimization Using the Primal-Dual Method of Multipliers. CoRR abs/1702.00841 (2017) - [i4]Guoqiang Zhang, W. Bastiaan Kleijn:
Training Deep Neural Networks via Optimization Over Graphs. CoRR abs/1702.03380 (2017) - [i3]Guoqiang Zhang, W. Bastiaan Kleijn, Richard Heusdens:
On Relationship between Primal-Dual Method of Multipliers and Kalman Filter. CoRR abs/1708.06881 (2017) - 2011
- [i2]Guoqiang Zhang, Janusz Klejsa, W. Bastiaan Kleijn:
Optimal Index Assignment for Multiple Description Scalar Quantization. CoRR abs/1109.2543 (2011) - 2010
- [i1]Guoqiang Zhang, W. Bastiaan Kleijn, Jan Østergaard:
Bounding the Rate Region of Vector Gaussian Multiple Descriptions with Individual and Central Receivers. CoRR abs/1006.2996 (2010)
Coauthor Index
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