Zhirong Yang

Orcid: 0000-0001-8412-5684

Affiliations:
  • Norwegian University of Science and Technology (NTNU), Trondheim, Norway


According to our database1, Zhirong Yang authored at least 65 papers between 2005 and 2023.

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

Timeline

Legend:

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Bibliography

2023
Stochastic cluster embedding.
Stat. Comput., 2023

Classification of long sequential data using circular dilated convolutional neural networks.
Neurocomputing, 2023

NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian.
CoRR, 2023

A Universal Attenuation Model of Terahertz Wave in Space-Air-Ground Channel Medium.
CoRR, 2023

ChordMixer: A Scalable Neural Attention Model for Sequences with Different Length.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Simultaneous Wireless Information and Power Transfer in Terahertz Ultra-Massive MIMO Systems.
Proceedings of the IEEE International Conference on Communications, 2023

2022
CIR-Net: Automatic Classification of Human Chromosome Based on Inception-ResNet Architecture.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Sparse factorization of square matrices with application to neural attention modeling.
Neural Networks, 2022

Distribution and gradient constrained embedding model for zero-shot learning with fewer seen samples.
Knowl. Based Syst., 2022

Preoperative planning for jugular-foramen tumors: Preparation of a three-dimensional surgical drawing.
Int. J. Imaging Syst. Technol., 2022

ChordMixer: A Scalable Neural Attention Model for Sequences with Different Lengths.
CoRR, 2022

Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks.
CoRR, 2022

ChromosomeNet: A massive dataset enabling benchmarking and building basedlines of clinical chromosome classification.
Comput. Biol. Chem., 2022

Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better than Dot-Product Self-Attention.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
A novel chromosome cluster types identification method using ResNeXt WSL model.
Medical Image Anal., 2021

T-SNE Is Not Optimized to Reveal Clusters in Data.
CoRR, 2021

Sparse Factorization of Large Square Matrices.
CoRR, 2021

A New RGB-D Gesture Video Dataset and Its Benchmark Evaluations on Light-Weighted Networks.
Proceedings of the Theoretical Computer Science, 2021

2020
Feasibility Study on Hyperspectral LiDAR for Ancient Huizhou-Style Architecture Preservation.
Remote. Sens., 2020

A 91-Channel Hyperspectral LiDAR for Coal/Rock Classification.
IEEE Geosci. Remote. Sens. Lett., 2020

Machine Learning for Hydropower Scheduling: State of the Art and Future Research Directions.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 24th International Conference KES-2020, 2020

A Simple and Novel Method to Predict the Hospital Energy Use Based on Machine Learning: A Case Study in Norway.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Doubly Stochastic Neighbor Embedding on Spheres.
Pattern Recognit. Lett., 2019

Learning Image Relations with Contrast Association Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Word Embedding Based on Low-Rank Doubly Stochastic Matrix Decomposition.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
基于多代价的决策粗糙集属性约简 (Attribute Reduction Based on Multicost Decision-theoretic Rough Set).
计算机科学, 2017

2016
Low-Rank Doubly Stochastic Matrix Decomposition for Cluster Analysis.
J. Mach. Learn. Res., 2016

2015
Learning the Information Divergence.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Understanding emotional impact of images using Bayesian multiple kernel learning.
Neurocomputing, 2015

Denoising Cluster Analysis.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Majorization-Minimization for Manifold Embedding.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014
Improving cluster analysis by co-initializations.
Pattern Recognit. Lett., 2014

Adaptive multiplicative updates for quadratic nonnegative matrix factorization.
Neurocomputing, 2014

Optimization Equivalence of Divergences Improves Neighbor Embedding.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Multiplicative Updates for Learning with Stochastic Matrices.
Proceedings of the Image Analysis, 18th Scandinavian Conference, 2013

Affective Abstract Image Classification and Retrieval Using Multiple Kernel Learning.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Predicting Emotional States of Images Using Bayesian Multiple Kernel Learning.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Scalable Optimization of Neighbor Embedding for Visualization.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Quadratic nonnegative matrix factorization.
Pattern Recognit., 2012

Clustering by Nonnegative Matrix Factorization Using Graph Random Walk.
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

Adaptive Multiplicative Updates for Projective Nonnegative Matrix Factorization.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Online Projective Nonnegative Matrix Factorization for Large Datasets.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Clustering by Low-Rank Doubly Stochastic Matrix Decomposition.
Proceedings of the 29th International Conference on Machine Learning, 2012

Pairwise Clustering with t-PLSI.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

Selecting β-Divergence for Nonnegative Matrix Factorization by Score Matching.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011
Unified Development of Multiplicative Algorithms for Linear and Quadratic Nonnegative Matrix Factorization.
IEEE Trans. Neural Networks, 2011

Kullback-Leibler Divergence for Nonnegative Matrix Factorization.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010
Linear and nonlinear projective nonnegative matrix factorization.
IEEE Trans. Neural Networks, 2010

Automatic Rank Determination in Projective Nonnegative Matrix Factorization.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

A System-Level Model for Runtime Power Estimation on Mobile Devices.
Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications, 2010

2009
Informative Laplacian Projection.
Proceedings of the Image Analysis, 16th Scandinavian Conference, 2009

Heavy-Tailed Symmetric Stochastic Neighbor Embedding.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Adaptive Regularization for Transductive Support Vector Machine.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Projective Nonnegative Matrix Factorization with α-Divergence.
Proceedings of the Artificial Neural Networks, 2009

2008
Discriminative learning with application to interactive facial image retrieval.
PhD thesis, 2008

Principal whitened gradient for information geometry.
Neural Networks, 2008

2007
Projective Non-Negative Matrix Factorization with Applications to Facial Image Processing.
Int. J. Pattern Recognit. Artif. Intell., 2007

Multiplicative updates for non-negative projections.
Neurocomputing, 2007

Regularized Neighborhood Component Analysis.
Proceedings of the Image Analysis, 15th Scandinavian Conference, 2007

Approximated Geodesic Updates with Principal Natural Gradients.
Proceedings of the International Joint Conference on Neural Networks, 2007

Face Recognition Using Parzenfaces.
Proceedings of the Artificial Neural Networks, 2007

2006
A Fast Fixed-Point Algorithm for Two-Class Discriminative Feature Extraction.
Proceedings of the Artificial Neural Networks, 2006

2005
Approximated Classification in Interactive Facial Image Retrieval.
Proceedings of the Image Analysis, 14th Scandinavian Conference, 2005

Interactive Retrieval in Facial Image Database Using Self-Organizing Maps.
Proceedings of the IAPR Conference on Machine Vision Applications (IAPR MVA 2005), 2005

Partial Relevance in Interactive Facial Image Retrieval.
Proceedings of the Pattern Recognition and Image Analysis, 2005


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