Chong Zhao

Orcid: 0000-0002-8069-6735

According to our database1, Chong Zhao authored at least 69 papers between 2004 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Consistent positive correlation sample distribution: Alleviating the negative sample noise issue in contrastive adaptation.
Expert Syst. Appl., 2025

2024
Distinguishing Structures from Textures by Patch-based Contrasts around Pixels for High-quality and Efficient Texture filtering.
Comput. Graph. Forum, October, 2024

Unsupervised domain adaptation for object detection through mixed-domain and co-training learning.
Multim. Tools Appl., March, 2024

Outage Analysis of NOMA Systems With User Ranking Based on ISP and Data Rate Requirement.
IEEE Wirel. Commun. Lett., January, 2024

Seismic Data Denoising Using a New Framework of FABEMD-Based Dictionary Learning.
IEEE Trans. Geosci. Remote. Sens., 2024

PsfDeconNet: High-Resolution Seismic Imaging Using Point-Spread Function Deconvolution With Generative Adversarial Networks.
IEEE Trans. Geosci. Remote. Sens., 2024

ECCT: Efficient Contrastive Clustering via Pseudo-Siamese Vision Transformer and Multi-view Augmentation.
Neural Networks, 2024

A swarm anomaly detection model for IoT UAVs based on a multi-modal denoising autoencoder and federated learning.
Comput. Ind. Eng., 2024

Multi-Sequence Fusion Network via Single- Sequence CycleGANs for Improved Synthetic CT in Nasopharyngeal Carcinoma Treatment Planning.
IEEE Access, 2024

Unsupervised Multi-Target Domain Adaptation Incremental Method Based on Contrastive Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

BTC: Bilateral-Branch Vision Transformer via Hilbert Patch Embedding for Image Clustering.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Self-Training Domain Adaptation Via Weight Transmission Between Generators.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Task-oriented contrastive learning for unsupervised domain adaptation.
Expert Syst. Appl., November, 2023

Obstacle avoidance method for fixed trajectory of a seven-degree-of-freedom manipulator.
Robotica, May, 2023

A source free domain adaptation model based on adversarial learning for image classification.
Appl. Intell., May, 2023

Source-free domain adaptive object detection based on pseudo-supervised mean teacher.
J. Supercomput., April, 2023

Lightweight multimodal feature graph convolutional network for dangerous driving behavior detection.
J. Real Time Image Process., February, 2023

LsmGANs: Image-Domain Least-Squares Migration Using a New Framework of Generative Adversarial Networks.
IEEE Trans. Geosci. Remote. Sens., 2023

HMANet: Hyperbolic Manifold Aware Network for Skeleton-Based Action Recognition.
IEEE Trans. Cogn. Dev. Syst., 2023

Graph-Based Self-Training for Semi-Supervised Deep Similarity Learning.
Sensors, 2023

Contrastive Domain Adaptation Via Delimitation Discriminator.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
An Energy Harvesting Roadside Unit communication load prediction and energy scheduling based on graph convolutional neural networks for spatial-temporal vehicle data.
IET Signal Process., 2022

Posture and Appearance Fusion Network for Driver Distraction Recognition.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

Graph Convolutional Networks (GCN)-Based Lightweight Detection Model for Dangerous Driving Behavior.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

Dropout-Based Ensemble Dual Discriminator for Cross-Domain Sentiment Classification.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

Domain Adaption Object Detection with Global - Local Contrastive Learning and Co-training Network.
Proceedings of the IEEE Smartworld, 2022

Source Free Domain Adaptation via Combined Discriminative GAN Model for Image Classification.
Proceedings of the International Joint Conference on Neural Networks, 2022

Cross-domain Object Detection Model via Contrastive Learning with Style Transfer.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Entropy-minimization Mean Teacher for Source-Free Domain Adaptive Object Detection.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021
Optimal resource utilization for intra-cluster D2D retransmission and cooperative communications in VANETs.
Wirel. Networks, 2021

The throughput optimization for wireless sensor networks adopting interference alignment and successive interference cancellation.
Peer-to-Peer Netw. Appl., 2021

Converging Evidence That Neural Plasticity Underlies Transcranial Direct-Current Stimulation.
J. Cogn. Neurosci., 2021

Deep Latent Emotion Network for Multi-Task Learning.
CoRR, 2021

Multi-step Domain Adaption Image Classification Network via Attention Mechanism and Multi-level Feature Alignment.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2021

Attention Based Spatial-Temporal Graph Convolutional Networks for RSU Communication Load Forecasting.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2021

2020
A novel approach of dynamic base station switching strategy based on Markov decision process for interference alignment in VANETs.
Wirel. Networks, 2020

Incremental learning based multi-domain adaptation for object detection.
Knowl. Based Syst., 2020

Generating High-quality Superpixels in Textured Images.
Comput. Graph. Forum, 2020

An Analytical Model for Energy Harvest Road Side Units Deployment With Dynamic Service Radius in Vehicular Ad-Hoc Networks.
IEEE Access, 2020

RRGCCAN: Re-Ranking via Graph Convolution Channel Attention Network for Person Re-Identification.
IEEE Access, 2020

HMM-Based Traffic State Prediction and Adaptive Routing Method in VANETs.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020

Class-unbalanced domain adaptation for object detection via dynamic weighting mechanism.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
An Analytical Model for Interference Alignment in Broadcast Assisted VANETs.
Sensors, 2019

Fuzzy Interacting Multiple Model H \(\infty\) Particle Filter Algorithm Based on Current Statistical Model.
Int. J. Fuzzy Syst., 2019

An Improved multi-objective genetic algorithm based on orthogonal design and adaptive clustering pruning strategy.
CoRR, 2019

Combined Forecasting Model of Water Traffic Accidents Based on Gray-BP Neural Network.
Proceedings of the 4th International Conference on Intelligent Transportation Engineering, 2019

Q-Baskakov Bases and q-Baskakov Curves and Surfaces.
Proceedings of the 3rd International Conference on Computer Science and Application Engineering, 2019

2017
A New Approach for Mobile Advertising Click-Through Rate Estimation Based on Deep Belief Nets.
Comput. Intell. Neurosci., 2017

Sparse feature auto-combination deep network for video action recognition.
Proceedings of the 13th International Conference on Natural Computation, 2017

2016
Application of deep belief nets for collaborative filtering.
Proceedings of the 16th International Symposium on Communications and Information Technologies, 2016

2014
The subdivision wavelet transform with local shape control.
Proceedings of the SIGGRAPH Asia 2014 Technical Briefs, 2014

2013
<i>p</i>-essential normality of quasi-homogeneous Drury-Arveson submodules.
J. Lond. Math. Soc., 2013

2011
Efficient wavelet-based geometry compression.
Comput. Animat. Virtual Worlds, 2011

1-ring interpolatory wavelet using function vectors for mobile computing.
Proceedings of the 10th International Conference on Virtual Reality Continuum and its Applications in Industry, 2011

2010
Optimal Waveforms Design for Ultra-Wideband Impulse Radio Sensors.
Sensors, 2010

Computing Efficient Matrix-valued Wavelets for Meshes.
Proceedings of the 18th Pacific Conference on Computer Graphics and Applications, 2010

2009
Compound Biorthogonal Wavelets on Quadrilaterals and Polar Structures.
Algorithms, 2009

An Aliasing Theory of Shadow Mapping.
Proceedings of the EG UK Theory and Practice of Computer Graphics, 2009

2008
Intelligent Robustness Insertion for Optimal Transient Error Tolerance Improvement in VLSI Circuits.
IEEE Trans. Very Large Scale Integr. Syst., 2008

Generalized minimum-norm perspective shadow maps.
Comput. Animat. Virtual Worlds, 2008

2007
Evaluating Transient Error Effects in Digital Nanometer Circuits.
IEEE Trans. Reliab., 2007

Theory to Practice: Generalized Minimum-Norm Perspective Shadow Maps for Anti-aliased Shadow Rendering in 3D Computer Games.
Proceedings of the Entertainment Computing, 2007

Modeling soft error effects considering process variations.
Proceedings of the 25th International Conference on Computer Design, 2007

2006
Evaluating and Improving Transient Error Tolerance of CMOS Digital VLSI Circuits.
Proceedings of the 2006 IEEE International Test Conference, 2006

Improving Transient Error Tolerance of Digital VLSI Circuits Using RObustness COmpiler (ROCO).
Proceedings of the 7th International Symposium on Quality of Electronic Design (ISQED 2006), 2006

2005
Soft-Spot Analysis: Targeting Compound Noise Effects in Nanometer Circuits.
IEEE Des. Test Comput., 2005

A static noise impact analysis methodology for evaluating transient error effects in digital VLSI circuits.
Proceedings of the Proceedings 2005 IEEE International Test Conference, 2005

Constraint-aware robustness insertion for optimal noise-tolerance enhancement in VLSI circuits.
Proceedings of the 42nd Design Automation Conference, 2005

2004
A scalable soft spot analysis methodology for compound noise effects in nano-meter circuits.
Proceedings of the 41th Design Automation Conference, 2004


  Loading...