Qi Mao

Orcid: 0000-0001-9362-6237

According to our database1, Qi Mao authored at least 61 papers between 2010 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Scalable Face Image Coding via StyleGAN Prior: Toward Compression for Human-Machine Collaborative Vision.
IEEE Trans. Image Process., 2024

Unifying Generation and Compression: Ultra-low bitrate Image Coding Via Multi-stage Transformer.
CoRR, 2024

2023
Semantic-Aware Visual Decomposition for Image Coding.
Int. J. Comput. Vis., September, 2023

Implementation-oriented filtered PID control: Optimization of robustness margins.
Autom., June, 2023

Overlapping filter bank convolutional neural network for multisubject multicategory motor imagery brain-computer interface.
BioData Min., January, 2023

Overview of intelligent video coding: from model-based to learning-based approaches.
Vis. Intell., 2023

Enhancing Style-Guided Image-to-Image Translation via Self-Supervised Metric Learning.
IEEE Trans. Multim., 2023

Scalable Face Image Coding via StyleGAN Prior: Towards Compression for Human-Machine Collaborative Vision.
CoRR, 2023

MAG-Edit: Localized Image Editing in Complex Scenarios via Mask-Based Attention-Adjusted Guidance.
CoRR, 2023

Classical Stability Margins by PID Control.
CoRR, 2023

Extreme Image Compression using Fine-tuned VQGAN Models.
CoRR, 2023

ZGaming: Zero-Latency 3D Cloud Gaming by Image Prediction.
Proceedings of the ACM SIGCOMM 2023 Conference, 2023

Extreme Generative Human-Oriented Video Coding via Motion Representation Compression.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Analysis and Research of Campus Live Broadcasting System Based on SRS and FFmpeg.
Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering, 2023

Consensus Robustness under PI Protocols with Undirected Graphs.
Proceedings of the American Control Conference, 2023

2022
Conceptual Compression via Deep Structure and Texture Synthesis.
IEEE Trans. Image Process., 2022

A Magnetic Field Imaging System Based on TMR Sensors for Banknote Recognition.
IEEE Trans. Instrum. Meas., 2022

Continuous and Diverse Image-to-Image Translation via Signed Attribute Vectors.
Int. J. Comput. Vis., 2022

Disentangled Visual Representations for Extreme Human Body Video Compression.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Implementation-Oriented Filtered PID Control: Robustness Margins.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Resolution Enhancement of Remotely Sensed Land Surface Temperature: Current Status and Perspectives.
Remote. Sens., 2021

Hessian-MRLoG: Hessian information and multi-scale reverse LoG filter for pulmonary nodule detection.
Comput. Biol. Medicine, 2021

A Deep Transfer Learning Model for Packaged Integrated Circuit Failure Detection by Terahertz Imaging.
IEEE Access, 2021

Mathematical Degradation Model Learning for Terahertz Image Super-Resolution.
IEEE Access, 2021

A Progressive Single-Image Dehazing Network With Feedback Mechanism.
IEEE Access, 2021

Maximal Gain and Phase Margins Attainable by PID Control.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Fuzzy Disturbance Observer-Based Adaptive Sliding Mode Control for Reusable Launch Vehicles With Aeroservoelastic Characteristic.
IEEE Trans. Ind. Informatics, 2020

Modified Rolling-Ball Method for Pulmonary Parenchyma Segmentation.
J. Medical Imaging Health Informatics, 2020

DRIT++: Diverse Image-to-Image Translation via Disentangled Representations.
Int. J. Comput. Vis., 2020

2019
Probabilistic Dimensionality Reduction via Structure Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Modified Non-Gaussian Models with Implicit Functions for Pulmonary Nodule Simulation.
J. Medical Imaging Health Informatics, 2019

A parallel computational framework for ultra-large-scale sequence clustering analysis.
Bioinform., 2019

Fidelity or Quality? A Region-Aware Framework for Enhanced Image Decoding via Hybrid Neural Networks.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Layered Conceptual Image Compression Via Deep Semantic Synthesis.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Integrating Spatial Continuous Wavelet Transform and Normalized Difference Vegetation Index to Map the Agro-Pastoral Transitional Zone in Northern China.
Remote. Sens., 2018

Enhanced Image Decoding via Edge-Preserving Generative Adversarial Networks.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

2017
ESPRIT-Forest: Parallel clustering of massive amplicon sequence data in subquadratic time.
PLoS Comput. Biol., 2017

Principal Graph and Structure Learning Based on Reversed Graph Embedding.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

A unified probabilistic framework for robust manifold learning and embedding.
Mach. Learn., 2017

Local Disparity Vector Derivation Scheme in 3D-AVS2.
Proceedings of the Image and Graphics - 9th International Conference, 2017

Latent Smooth Skeleton Embedding.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
A local-adapted disparity vector derivation scheme for 3D-AVS.
Proceedings of the 2016 Visual Communications and Image Processing, 2016

2015
Generalized Multiple Kernel Learning With Data-Dependent Priors.
IEEE Trans. Neural Networks Learn. Syst., 2015

Feature selection for unsupervised learning through local learning.
Pattern Recognit. Lett., 2015

A Novel Regularized Principal Graph Learning Framework on Explicit Graph Representation.
CoRR, 2015

SimplePPT: A Simple Principal Tree Algorithm.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Dimensionality Reduction Via Graph Structure Learning.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Parallel Hierarchical Clustering in Linearithmic Time for Large-Scale Sequence Analysis.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2013
Structured prediction for feature selection and performance evaluation
PhD thesis, 2013

Efficient Multitemplate Learning for Structured Prediction.
IEEE Trans. Neural Networks Learn. Syst., 2013

Objective-Guided Image Annotation.
IEEE Trans. Image Process., 2013

A Feature Selection Method for Multivariate Performance Measures.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

2012
Multi-view Positive and Unlabeled Learning.
Proceedings of the 4th Asian Conference on Machine Learning, 2012

A Split-Merge Framework for Comparing Clusterings.
Proceedings of the 29th International Conference on Machine Learning, 2012

Learning Target Predictive Function without Target Labels.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Domain Adaptation for Coreference Resolution: An Adaptive Ensemble Approach.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2011
Multiple Template Learning for Structured Prediction
CoRR, 2011

Optimizing Performance Measures for Feature Selection.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010
Parameter-Free Spectral Kernel Learning.
Proceedings of the UAI 2010, 2010

KLATTSTAT: knowledge-based parametric speech synthesis.
Proceedings of the Seventh ISCA Tutorial and Research Workshop on Speech Synthesis, 2010


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