Xinhua Zhang

Orcid: 0000-0002-2767-4908

According to our database1, Xinhua Zhang authored at least 131 papers between 2003 and 2025.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
DITTO: A Visual Digital Twin for Interventions and Temporal Treatment Outcomes in Head and Neck Cancer.
IEEE Trans. Vis. Comput. Graph., January, 2025

2024
A Study of the Factors Influencing Teachers' Willingness to Use Generative Artificial Intelligence Based on the UTAUT Model.
Int. J. Interact. Mob. Technol., 2024

Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning.
CoRR, 2024

Fairness Risks for Group-conditionally Missing Demographics.
CoRR, 2024

Distilling Conditional Diffusion Models for Offline Reinforcement Learning through Trajectory Stitching.
CoRR, 2024

Chinese Native Dog Breed Classification Method based on Improved ResNet.
Proceedings of the 7th International Conference on Information and Computer Technologies, 2024

Collaborative Filtering for the Imputation of Patient Reported Outcomes.
Proceedings of the Database and Expert Systems Applications, 2024

2023
Actor-Critic Alignment for Offline-to-Online Reinforcement Learning.
Proceedings of the International Conference on Machine Learning, 2023

Poisoning Generative Replay in Continual Learning to Promote Forgetting.
Proceedings of the International Conference on Machine Learning, 2023

Improving Prediction of Late Symptoms using LSTM and Patient-reported Outcomes for Head and Neck Cancer Patients.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

2022
An Efficient and Robust Multidimensional Data Aggregation Scheme for Smart Grid Based on Blockchain.
IEEE Trans. Netw. Serv. Manag., December, 2022

Systematic generation of moment invariant bases for 2D and 3D tensor fields.
Pattern Recognit., 2022

Machine Learning for Detection of 3D Features using sparse X-ray data.
CoRR, 2022

Similarity Equivariant Linear Transformation of Joint Orientation-Scale Space Representations.
CoRR, 2022

Orthogonal Gromov-Wasserstein discrepancy with efficient lower bound.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Moment Distributionally Robust Tree Structured Prediction.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Certifying Robust Graph Classification under Orthogonal Gromov-Wasserstein Threats.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Warping Layer: Representation Learning for Label Structures in Weakly Supervised Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Fixed-Time-Convergent Generalized Extended State Observer Based Motor Control Subject to Multiple Disturbances.
IEEE Trans. Ind. Informatics, 2021

Cogging Torque Reduction in PMSM in Wide Temperature Range by Response Surface Methodology.
Symmetry, 2021

Evaluation of the impact of urban river bends on the enhancement of aquatic habitats using a two-dimensional habitat suitability model.
Ecol. Informatics, 2021

Implicit Task-Driven Probability Discrepancy Measure for Unsupervised Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Distributionally Robust Imitation Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Predicting late symptoms of head and neck cancer treatment using LSTM and patient reported outcomes.
Proceedings of the IDEAS 2021: 25th International Database Engineering & Applications Symposium, 2021

Generalised Lipschitz Regularisation Equals Distributional Robustness.
Proceedings of the 38th International Conference on Machine Learning, 2021

Identifying Symptom Clusters Through Association Rule Mining.
Proceedings of the Artificial Intelligence in Medicine, 2021

2020
Improving Brain E-Health Services via High-Performance EEG Classification With Grouping Bayesian Optimization.
IEEE Trans. Serv. Comput., 2020

Cloud-aided online EEG classification system for brain healthcare: A case study of depression evaluation with a lightweight CNN.
Softw. Pract. Exp., 2020

Robust Training of Graph Convolutional Networks via Latent Perturbation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Proximal Mapping for Deep Regularization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Direction of Arrival Estimation Using Two Hydrophones: Frequency Diversity Technique for Passive Sonar.
Sensors, 2019

Euclidean Invariant Recognition of 2D Shapes Using Histograms of Magnitudes of Local Fourier-Mellin Descriptors.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Scaling Multinomial Logistic Regression via Hybrid Parallelism.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Inter-region Synchronization Analysis Based on Heterogeneous Matrix Similarity Measurement.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019

Learning Invariant Representations with Kernel Warping.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
An Improved Inverse Beamforming Method: Azimuth Resolution Analysis for Weak Target Detection.
Sensors, 2018

Consistent Robust Adversarial Prediction for General Multiclass Classification.
CoRR, 2018

Distributionally Robust Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Can Deep Learning Learn the Principle of Closed Contour Detection?
Proceedings of the Advances in Visual Computing - 13th International Symposium, 2018

Inductive Two-layer Modeling with Parametric Bregman Transfer.
Proceedings of the 35th International Conference on Machine Learning, 2018

Efficient and Consistent Adversarial Bipartite Matching.
Proceedings of the 35th International Conference on Machine Learning, 2018

Foreground Object Detection Combining Gaussian Mixture Model and Inter-Frame Difference in the Application of Classroom recording Apparatus.
Proceedings of the 2018 10th International Conference on Computer and Automation Engineering, 2018

2017
Support Vector Machines.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Structural Risk Minimization.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Regularization.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Kernel Methods.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Gaussian Distribution.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Empirical Risk Minimization.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Covariance Matrix.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Generalized Conditional Gradient for Sparse Estimation.
J. Mach. Learn. Res., 2017

Distributed Stochastic Optimization of Regularized Risk via Saddle-Point Problem.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Online learner emotional analysis based on big dataset of online learning forum.
Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2016
Precipitation Spectra Analysis Over China With High-Resolution Measurements From Optimally Merged Satellite/Gauge Observations - Part I: Spatial and Seasonal Analysis.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Precipitation Spectra Analysis Over China With High-Resolution Measurements From Optimally-Merged Satellite/Gauge Observations - Part II: Diurnal Variability Analysis.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression.
CoRR, 2016

Convex Two-Layer Modeling with Latent Structure.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Scalable and Sound Low-Rank Tensor Learning.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Mapping the Precipitation Type Distribution Over the Contiguous United States Using NOAA/NSSL National Multi-Sensor Mosaic QPE.
IEEE Trans. Geosci. Remote. Sens., 2015

Intercomparison of Precipitation Estimates From WSR-88D Radar and TRMM Measurement Over Continental United States.
IEEE Trans. Geosci. Remote. Sens., 2015

Hydrologic Evaluation of the TRMM Multisatellite Precipitation Analysis Over Ganjiang Basin in Humid Southeastern China.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015

Inter-Comparison of High-Resolution Satellite Precipitation Products over Central Asia.
Remote. Sens., 2015

Learning Forum Posts Topic Discovery and Its Application in Recommendation System.
J. Softw., 2015

Exp-Concavity of Proper Composite Losses.
Proceedings of The 28th Conference on Learning Theory, 2015

A Deconvolutional Strategy for Implementing Large Patch Sizes Supports Improved Image Classification.
Proceedings of the BICT 2015, 2015

A Deconvolutional Competitive Algorithm for Building Sparse Hierarchical Representations.
Proceedings of the BICT 2015, 2015

2014
Accelerated training of max-margin Markov networks with kernels.
Theor. Comput. Sci., 2014

Energy-preserving finite volume element method for the improved Boussinesq equation.
J. Comput. Phys., 2014

Bayesian Models for Structured Sparse Estimation via Set Cover Prior.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Robust Bayesian Max-Margin Clustering.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Convex Deep Learning via Normalized Kernels.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Pseudo-MDPs and factored linear action models.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014

2013
Convex Relaxations of Bregman Divergence Clustering.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Protein-chemical Interaction Prediction via Kernelized Sparse Learning SVM.
Proceedings of the Biocomputing 2013: Proceedings of the Pacific Symposium, 2013

Polar Operators for Structured Sparse Estimation.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Learning with Invariance via Linear Functionals on Reproducing Kernel Hilbert Space.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Convex Two-Layer Modeling.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Multi-phase fault-tolerant switched-flux permanent magnet motors having odd rotor pole number.
Proceedings of the 22nd IEEE International Symposium on Industrial Electronics, 2013

Open Problem: Lower bounds for Boosting with Hadamard Matrices.
Proceedings of the COLT 2013, 2013

2012
Smoothing multivariate performance measures.
J. Mach. Learn. Res., 2012

Sparse Learning Based Linear Coherent Bi-clustering.
Proceedings of the Algorithms in Bioinformatics - 12th International Workshop, 2012

Accelerated Training for Matrix-norm Regularization: A Boosting Approach.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Convex Multi-view Subspace Learning.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with New Convex Relaxations.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
New Approximation Algorithms for Minimum Enclosing Convex Shapes.
Proceedings of the Twenty-Second Annual ACM-SIAM Symposium on Discrete Algorithms, 2011

Tow ship interference cancelling based on blind source separation algorithm.
Proceedings of the 3rd International Conference on Awareness Science and Technology, 2011

A new method of the image pattern recognition based on neural networks.
Proceedings of the International Conference on Electronic and Mechanical Engineering and Information Technology, 2011

Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Support Vector Machines.
Proceedings of the Encyclopedia of Machine Learning, 2010

Structural Risk Minimization.
Proceedings of the Encyclopedia of Machine Learning, 2010

Regularization.
Proceedings of the Encyclopedia of Machine Learning, 2010

Kernel Methods.
Proceedings of the Encyclopedia of Machine Learning, 2010

Gaussian Distribution.
Proceedings of the Encyclopedia of Machine Learning, 2010

Empirical Risk Minimization.
Proceedings of the Encyclopedia of Machine Learning, 2010

Covariance Matrix.
Proceedings of the Encyclopedia of Machine Learning, 2010

Optimal Matrix Filter Design With Application to Filtering Short Data Records.
IEEE Signal Process. Lett., 2010

Bayesian Online Learning for Multi-label and Multi-variate Performance Measures.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Regularized Risk Minimization by Nesterov's Accelerated Gradient Methods: Algorithmic Extensions and Empirical Studies
CoRR, 2010

Faster Rates for training Max-Margin Markov Networks
CoRR, 2010

Stability in impulsive Cohen-Grossberg-type BAM neural networks with distributed delays.
Appl. Math. Comput., 2010

SJTU CIT at TAC 2010: Guided Summarization Task.
Proceedings of the Third Text Analysis Conference, 2010

Lower Bounds on Rate of Convergence of Cutting Plane Methods.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Periodicity of Cohen-Grossberg-type fuzzy neural networks with time-varying delays and impulses.
Proceedings of the 3rd International Conference on Information Sciences and Interaction Sciences (ICIS 2010), 2010

Existence and exponential stability of periodic solution for Cohen-Grossberg neural networks with hybrid delays.
Proceedings of the Sixth International Conference on Natural Computation, 2010

2009
Lower Bounds for BMRM and Faster Rates for Training SVMs
CoRR, 2009

A New Kind of Method for DOA Estimation Based on Blind Source Separation and MVDR Beamforming.
Proceedings of the Fifth International Conference on Natural Computation, 2009

Blind Adaptive Beamformer Based on Independent Component Analysis for Underwater Passive Acoustic Source Separation.
Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009

2008
Kernel Measures of Independence for non-iid Data.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Tailoring density estimation via reproducing kernel moment matching.
Proceedings of the Machine Learning, 2008

Consistent image analogies using semi-supervised learning.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
B Spline Wavelet Based Medical Image Edge Extraction.
Proceedings of the International MultiConference of Engineers and Computer Scientists 2007, 2007

A Research on Medical Image Interpolation Based on Cubic Convolution and Adaptive Interpolation.
Proceedings of the International MultiConference of Engineers and Computer Scientists 2007, 2007

Iris Recognition Based on Wavelet Neural Network Transform System.
Proceedings of the International MultiConference of Engineers and Computer Scientists 2007, 2007

Conditional random fields for multi-agent reinforcement learning.
Proceedings of the Machine Learning, 2007

A Fusion Algorithm of Multiple Classifiers for Recognition of Ships Radiated_Noises Based on Many-Person Decision-Makings Theory.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2006
Hyperparameter Learning for Graph Based Semi-supervised Learning Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2005
Medical Image Segmentation Using a Combined Approach.
Proceedings of The 2005 International Conference on Computer Vision, 2005

A Neural Network Blind Separation Method Based on Special Frequency Bins.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Recognition of Radiated Noises of Ships Using Auditory Features and Support Vector Machines.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Hybrid Framework for Medical Image Segmentation.
Proceedings of the Computer Analysis of Images and Patterns, 11th International Conference, 2005

A XML format secure protocol - OpenSST.
Proceedings of the 2005 ACS / IEEE International Conference on Computer Systems and Applications (AICCSA 2005), 2005

A Fault-Tolerant Routing Strategy for Fibonacci-Class Cubes.
Proceedings of the Advances in Computer Systems Architecture, 10th Asia-Pacific Conference, 2005

2004
Segmentation and quantification of brain tumor.
Proceedings of the IEEE International Conference on Virtual Environments, 2004

Underwater Acoustic Targets Classification Using Welch Spectrum Estimation and Neural Networks.
Proceedings of the Advances in Neural Networks, 2004

Routing based workflow for construction of distributed applications.
Proceedings of the 9th IEEE Symposium on Computers and Communications (ISCC 2006), June 28, 2004

2003
A Fault-tolerant Routing Strategy for Gaussian Cube Using Gaussian Tree.
Proceedings of the 32nd International Conference on Parallel Processing Workshops (ICPP 2003 Workshops), 2003

Enhance Opensst Protocol's Security with Smart Card.
Proceedings of the IADIS International Conference WWW/Internet 2003, 2003


  Loading...