Partial Relevance in Interactive Facial Image Retrieval. - Zhirong Yang; Jorma Laaksonen (ICAPR (2), 2005)

Interactive Retrieval in Facial Image Database Using Self-Organizing Maps. - Zhirong Yang; Jorma Laaksonen (MVA, 2005)

Approximated Classification in Interactive Facial Image Retrieval. - Zhirong Yang; Jorma Laaksonen (SCIA, 2005)

A Fast Fixed-Point Algorithm for Two-Class Discriminative Feature Extraction. - Zhirong Yang; Jorma Laaksonen (ICANN (2), 2006)

Face Recognition Using Parzenfaces. - Zhirong Yang; Jorma Laaksonen (ICANN (2), 2007)

Approximated Geodesic Updates with Principal Natural Gradients. - Zhirong Yang; Jorma Laaksonen (IJCNN, 2007)

Regularized Neighborhood Component Analysis. - Zhirong Yang; Jorma Laaksonen (SCIA, 2007)

Multiplicative updates for non-negative projections. - Zhirong Yang; Jorma Laaksonen (Neurocomputing, 2007)

Projective Non-Negative Matrix Factorization with Applications to Facial Image Processing. - Zhirong Yang; Zhijian Yuan; Jorma Laaksonen (Int. J. Pattern Recognit. Artif. Intell., 2007)

Principal whitened gradient for information geometry. - Zhirong Yang; Jorma Laaksonen (Neural Networks, 2008)

Discriminative learning with application to interactive facial image retrieval. - Zhirong Yang (2008)

Projective Nonnegative Matrix Factorization with α-Divergence. - Zhirong Yang; Erkki Oja (ICANN (1), 2009)

Adaptive Regularization for Transductive Support Vector Machine. - Zenglin Xu; Rong Jin 001; Jianke Zhu; Irwin King; Michael R. Lyu; Zhirong Yang (NIPS, 2009)

Heavy-Tailed Symmetric Stochastic Neighbor Embedding. - Zhirong Yang; Irwin King; Zenglin Xu; Erkki Oja (NIPS, 2009)

Informative Laplacian Projection. - Zhirong Yang; Jorma Laaksonen (SCIA, 2009)

A System-Level Model for Runtime Power Estimation on Mobile Devices. - Yu Xiao 001; Rijubrata Bhaumik; Zhirong Yang; Matti Siekkinen; Petri Savolainen; Antti Ylä-Jääski (GreenCom/CPSCom, 2010)

Automatic Rank Determination in Projective Nonnegative Matrix Factorization. - Zhirong Yang; Zhanxing Zhu; Erkki Oja (LVA/ICA, 2010)

Linear and nonlinear projective nonnegative matrix factorization. - Zhirong Yang; Erkki Oja (IEEE Trans. Neural Networks, 2010)

Kullback-Leibler Divergence for Nonnegative Matrix Factorization. - Zhirong Yang; He Zhang 009; Zhijian Yuan; Erkki Oja (ICANN (1), 2011)

Unified Development of Multiplicative Algorithms for Linear and Quadratic Nonnegative Matrix Factorization. - Zhirong Yang; Erkki Oja (IEEE Trans. Neural Networks, 2011)

Selecting β-Divergence for Nonnegative Matrix Factorization by Score Matching. - Zhiyun Lu; Zhirong Yang; Erkki Oja (ICANN (2), 2012)

Pairwise Clustering with t-PLSI. - He Zhang 009; Tele Hao; Zhirong Yang; Erkki Oja (ICANN (2), 2012)

Clustering by Low-Rank Doubly Stochastic Matrix Decomposition. - Zhirong Yang; Erkki Oja (ICML, 2012)

Online Projective Nonnegative Matrix Factorization for Large Datasets. - Zhirong Yang; He Zhang 009; Erkki Oja (ICONIP (3), 2012)

Adaptive Multiplicative Updates for Projective Nonnegative Matrix Factorization. - He Zhang 009; Zhirong Yang; Erkki Oja (ICONIP (3), 2012)

Clustering by Nonnegative Matrix Factorization Using Graph Random Walk. - Zhirong Yang; Tele Hao; Onur Dikmen; Xi Chen 017; Erkki Oja (NIPS, 2012)

Quadratic nonnegative matrix factorization. - Zhirong Yang; Erkki Oja (Pattern Recognit., 2012)

Scalable Optimization of Neighbor Embedding for Visualization. - Zhirong Yang; Jaakko Peltonen; Samuel Kaski (ICML (2), 2013)

Predicting Emotional States of Images Using Bayesian Multiple Kernel Learning. - He Zhang 009; Mehmet Gönen; Zhirong Yang; Erkki Oja (ICONIP (3), 2013)

Affective Abstract Image Classification and Retrieval Using Multiple Kernel Learning. - He Zhang 009; Zhirong Yang; Mehmet Gönen; Markus Koskela; Jorma Laaksonen; Timo Honkela; Erkki Oja (ICONIP (3), 2013)

Multiplicative Updates for Learning with Stochastic Matrices. - Zhanxing Zhu; Zhirong Yang; Erkki Oja (SCIA, 2013)

Optimization Equivalence of Divergences Improves Neighbor Embedding. - Zhirong Yang; Jaakko Peltonen; Samuel Kaski (ICML, 2014)

Adaptive multiplicative updates for quadratic nonnegative matrix factorization. - He Zhang 009; Zhirong Yang; Erkki Oja (Neurocomputing, 2014)

Improving cluster analysis by co-initializations. - He Zhang 009; Zhirong Yang; Erkki Oja (Pattern Recognit. Lett., 2014)

Majorization-Minimization for Manifold Embedding. - Zhirong Yang; Jaakko Peltonen; Samuel Kaski (AISTATS, 2015)

Denoising Cluster Analysis. - Ruqi Zhang; Zhirong Yang; Jukka Corander (ICONIP (3), 2015)

Understanding emotional impact of images using Bayesian multiple kernel learning. - He Zhang 009; Mehmet Gönen; Zhirong Yang; Erkki Oja (Neurocomputing, 2015)

Learning the Information Divergence. - Onur Dikmen; Zhirong Yang; Erkki Oja (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Low-Rank Doubly Stochastic Matrix Decomposition for Cluster Analysis. - Zhirong Yang; Jukka Corander; Erkki Oja (J. Mach. Learn. Res., 2016)

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

Word Embedding Based on Low-Rank Doubly Stochastic Matrix Decomposition. - Denis Sedov; Zhirong Yang (ICONIP (3), 2018)

Learning Image Relations with Contrast Association Networks. - Yao Lu; Zhirong Yang; Juho Kannala; Samuel Kaski (IJCNN, 2019)

Doubly Stochastic Neighbor Embedding on Spheres. - Yao Lu; Jukka Corander; Zhirong Yang (Pattern Recognit. Lett., 2019)

A Simple and Novel Method to Predict the Hospital Energy Use Based on Machine Learning: A Case Study in Norway. - Kai Xue; Yiyu Ding; Zhirong Yang; Natasa Nord; Mael Roger Albert Barillec; Hans Martin Mathisen; Meng Liu; Tor Emil Giske; Liv Inger Stenstad; Guangyu Cao (ICONIP (4), 2020)

Machine Learning for Hydropower Scheduling: State of the Art and Future Research Directions. - Chiara Bordin; Hans Ivar Skjelbred; Jiehong Kong; Zhirong Yang (KES, 2020)

A 91-Channel Hyperspectral LiDAR for Coal/Rock Classification. - Hui Shao; Yuwei Chen; Zhirong Yang; Changhui Jiang; Wei Li 095; Haohao Wu; Zhijie Wen; Shaowei Wang; Eetu Puttonen; Juha Hyyppä (IEEE Geosci. Remote. Sens. Lett., 2020)

Feasibility Study on Hyperspectral LiDAR for Ancient Huizhou-Style Architecture Preservation. - Hui Shao; Yuwei Chen; Zhirong Yang; Changhui Jiang; Wei Li 095; Haohao Wu; Shaowei Wang; Fan Yang; Jie Chen 035; Eetu Puttonen; Juha Hyyppä (Remote. Sens., 2020)

A New RGB-D Gesture Video Dataset and Its Benchmark Evaluations on Light-Weighted Networks. - Guojian Xiao; Zhendong Lu; Zhirong Yang; Panji Jin; Kuan Li; Jianping Yin (NCTCS, 2021)

Sparse Factorization of Large Square Matrices. - Ruslan Khalitov; Tong Yu; Lei Cheng; Zhirong Yang (CoRR, 2021)

T-SNE Is Not Optimized to Reveal Clusters in Data. - Zhirong Yang; Yuwei Chen; Jukka Corander (CoRR, 2021)

A novel chromosome cluster types identification method using ResNeXt WSL model. - Chengchuang Lin; Gansen Zhao; Aihua Yin; Zhirong Yang; Li Guo 019; Hanbiao Chen; Lei Zhao; Shuangyin Li; Haoyu Luo; Zhaohui Ma (Medical Image Anal., 2021)

Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better than Dot-Product Self-Attention. - Tong Yu; Ruslan Khalitov; Lei Cheng; Zhirong Yang (CVPR, 2022)

ChromosomeNet: A massive dataset enabling benchmarking and building basedlines of clinical chromosome classification. - Chengchuang Lin; Hanbiao Chen; Jiesheng Huang; Jing Peng; Li Guo 019; Zhirong Yang; Jiahua Du; Shuangyin Li; Aihua Yin; Gansen Zhao (Comput. Biol. Chem., 2022)

Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks. - Lei Cheng; Ruslan Khalitov; Tong Yu; Zhirong Yang (CoRR, 2022)

ChordMixer: A Scalable Neural Attention Model for Sequences with Different Lengths. - Ruslan Khalitov; Tong Yu; Lei Cheng; Zhirong Yang (CoRR, 2022)

Preoperative planning for jugular-foramen tumors: Preparation of a three-dimensional surgical drawing. - Zhirong Yang; Wenchuan Zhang (Int. J. Imaging Syst. Technol., 2022)

Distribution and gradient constrained embedding model for zero-shot learning with fewer seen samples. - Jing Zhang 058; Yangli-ao Geng; Wen Wang 019; Wenju Sun; Zhirong Yang; Qingyong Li (Knowl. Based Syst., 2022)

Sparse factorization of square matrices with application to neural attention modeling. - Ruslan Khalitov; Tong Yu; Lei Cheng; Zhirong Yang (Neural Networks, 2022)

CIR-Net: Automatic Classification of Human Chromosome Based on Inception-ResNet Architecture. - Chengchuang Lin; Gansen Zhao; Zhirong Yang; Aihua Yin; Jianxin Wang 001; Li Guo 019; Hanbiao Chen; Zhaohui Ma; Lei Zhao; Haoyu Luo; Tianxing Wang; Bichao Ding; et al. (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Simultaneous Wireless Information and Power Transfer in Terahertz Ultra-Massive MIMO Systems. - Zhirong Yang; Yongzhi Wu; Chong Han 001 (ICC, 2023)

ChordMixer: A Scalable Neural Attention Model for Sequences with Different Length. - Ruslan Khalitov; Tong Yu; Lei Cheng; Zhirong Yang (ICLR, 2023)

Classification of long sequential data using circular dilated convolutional neural networks. - Lei Cheng; Ruslan Khalitov; Tong Yu; Jing Zhang; Zhirong Yang (Neurocomputing, 2023)

Stochastic cluster embedding. - Zhirong Yang; Yuwei Chen; Denis Sedov; Samuel Kaski; Jukka Corander (Stat. Comput., 2023)

NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian. - Peng Liu 025; Lemei Zhang; Terje Nissen Farup; Even W. Lauvrak; Jon Espen Ingvaldsen; Simen Eide; Jon Atle Gulla; Zhirong Yang (EMNLP, 2024)

Self-Distillation Improves DNA Sequence Inference. - Tong Yu; Lei Cheng; Ruslan Khalitov; Erland Brandser Olsson; Zhirong Yang (CoRR, 2024)

MaTrRec: Uniting Mamba and Transformer for Sequential Recommendation. - Shun Zhang; Runsen Zhang; Zhirong Yang (CoRR, 2024)

Self-supervised Learning for DNA sequences with circular dilated convolutional networks. - Lei Cheng; Tong Yu; Ruslan Khalitov; Zhirong Yang (Neural Networks, 2024)

A Universal Attenuation Model of Terahertz Wave in Space-Air-Ground Channel Medium. - Zhirong Yang; Weijun Gao; Chong Han 001 (IEEE Open J. Commun. Soc., 2024)

Dynamic robustness evaluation for automated model selection in operation. - Jin Zhang; Jingyue Li; Zhirong Yang (Inf. Softw. Technol., 2025)

Mapping the landscape of digital cultural heritage research: a quantitative and visual bibliometric study. - Yong Huang; Xiangfeng He; Zhiguang Lian; Zhirong Yang (Libr. Hi Tech, 2025)

Self-distillation improves self-supervised learning for DNA sequence inference. - Tong Yu; Lei Cheng; Ruslan Khalitov; Erland Brandser Olsson; Zhirong Yang (Neural Networks, 2025)

A sparse and wide neural network model for DNA sequences. - Tong Yu; Lei Cheng; Ruslan Khalitov; Zhirong Yang (Neural Networks, 2025)