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ORCIDZhirong Yang
Person information
- affiliation: Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- unicode name: 杨志荣
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2020 – today
- 2023
[j23]Lei Cheng, Ruslan Khalitov, Tong Yu, Jing Zhang, Zhirong Yang:
Classification of long sequential data using circular dilated convolutional neural networks. Neurocomputing 518: 50-59 (2023)- [j22]Zhirong Yang
, Yuwei Chen, Denis Sedov, Samuel Kaski, Jukka Corander:
Stochastic cluster embedding. Stat. Comput. 33(1): 12 (2023) - [c35]Zhirong Yang, Yongzhi Wu, Chong Han:
Simultaneous Wireless Information and Power Transfer in Terahertz Ultra-Massive MIMO Systems. ICC 2023: 913-918 - [c34]Ruslan Khalitov, Tong Yu, Lei Cheng, Zhirong Yang:
ChordMixer: A Scalable Neural Attention Model for Sequences with Different Length. ICLR 2023 - [i13]Zhirong Yang, Weijun Gao, Chong Han:
A Universal Attenuation Model of Terahertz Wave in Space-Air-Ground Channel Medium. CoRR abs/2308.00966 (2023) - [i12]Peng Liu, Lemei Zhang, Terje Nissen Farup, Even W. Lauvrak, Jon Espen Ingvaldsen, Simen Eide, Jon Atle Gulla, Zhirong Yang:
NLEBench+NorGLM: A Comprehensive Empirical Analysis and Benchmark Dataset for Generative Language Models in Norwegian. CoRR abs/2312.01314 (2023) - 2022
- [j21]Chengchuang Lin, Hanbiao Chen, Jiesheng Huang, Jing Peng, Li Guo, Zhirong Yang, Jiahua Du, Shuangyin Li, Aihua Yin, Gansen Zhao:
ChromosomeNet: A massive dataset enabling benchmarking and building basedlines of clinical chromosome classification. Comput. Biol. Chem. 100: 107731 (2022) - [j20]Zhirong Yang, Wenchuan Zhang:
Preoperative planning for jugular-foramen tumors: Preparation of a three-dimensional surgical drawing. Int. J. Imaging Syst. Technol. 32(2): 490-500 (2022) - [j19]Jing Zhang, Yangli-ao Geng, Wen Wang, Wenju Sun, Zhirong Yang, Qingyong Li:
Distribution and gradient constrained embedding model for zero-shot learning with fewer seen samples. Knowl. Based Syst. 251: 109218 (2022) - [j18]Ruslan Khalitov, Tong Yu, Lei Cheng, Zhirong Yang:
Sparse factorization of square matrices with application to neural attention modeling. Neural Networks 152: 160-168 (2022) - [j17]Chengchuang Lin, Gansen Zhao, Zhirong Yang, Aihua Yin, Jianxin Wang, Li Guo, Hanbiao Chen, Zhaohui Ma, Lei Zhao, Haoyu Luo, Tianxing Wang, Bichao Ding, Xiongwen Pang, Qiren Chen:
CIR-Net: Automatic Classification of Human Chromosome Based on Inception-ResNet Architecture. IEEE ACM Trans. Comput. Biol. Bioinform. 19(3): 1285-1293 (2022) - [c33]Tong Yu, Ruslan Khalitov, Lei Cheng, Zhirong Yang:
Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better than Dot-Product Self-Attention. CVPR 2022: 681-690 - [i11]Lei Cheng, Ruslan Khalitov, Tong Yu, Zhirong Yang:
Classification of Long Sequential Data using Circular Dilated Convolutional Neural Networks. CoRR abs/2201.02143 (2022) - [i10]Tong Yu, Ruslan Khalitov, Lei Cheng, Zhirong Yang:
Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better than Dot-Product Self-Attention. CoRR abs/2204.10670 (2022) - [i9]Ruslan Khalitov, Tong Yu, Lei Cheng, Zhirong Yang:
ChordMixer: A Scalable Neural Attention Model for Sequences with Different Lengths. CoRR abs/2206.05852 (2022) - 2021
- [j16]Chengchuang Lin, Gansen Zhao, Aihua Yin, Zhirong Yang, Li Guo, Hanbiao Chen, Lei Zhao, Shuangyin Li, Haoyu Luo, Zhaohui Ma:
A novel chromosome cluster types identification method using ResNeXt WSL model. Medical Image Anal. 69: 101943 (2021) - [c32]Guojian Xiao, Zhendong Lu, Zhirong Yang, Panji Jin, Kuan Li, Jianping Yin:
A New RGB-D Gesture Video Dataset and Its Benchmark Evaluations on Light-Weighted Networks. NCTCS 2021: 47-58 - [i8]Zhirong Yang, Yuwei Chen, Denis Sedov, Samuel Kaski, Jukka Corander:
Stochastic Cluster Embedding. CoRR abs/2108.08003 (2021) - [i7]Ruslan Khalitov, Tong Yu, Lei Cheng, Zhirong Yang:
Sparse Factorization of Large Square Matrices. CoRR abs/2109.08184 (2021) - [i6]Zhirong Yang, Yuwei Chen, Jukka Corander:
T-SNE Is Not Optimized to Reveal Clusters in Data. CoRR abs/2110.02573 (2021) - 2020
- [j15]Hui Shao, Yuwei Chen, Zhirong Yang, Changhui Jiang, Wei Li, Haohao Wu, Zhijie Wen, Shaowei Wang, Eetu Puttonen, Juha Hyyppä:
A 91-Channel Hyperspectral LiDAR for Coal/Rock Classification. IEEE Geosci. Remote. Sens. Lett. 17(6): 1052-1056 (2020) - [j14]Hui Shao, Yuwei Chen, Zhirong Yang, Changhui Jiang, Wei Li, Haohao Wu, Shaowei Wang, Fan Yang, Jie Chen, Eetu Puttonen, Juha Hyyppä:
Feasibility Study on Hyperspectral LiDAR for Ancient Huizhou-Style Architecture Preservation. Remote. Sens. 12(1): 88 (2020) - [c31]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:
A Simple and Novel Method to Predict the Hospital Energy Use Based on Machine Learning: A Case Study in Norway. ICONIP (4) 2020: 11-22 - [c30]Chiara Bordin, Hans Ivar Skjelbred, Jiehong Kong, Zhirong Yang:
Machine Learning for Hydropower Scheduling: State of the Art and Future Research Directions. KES 2020: 1659-1668
2010 – 2019
- 2019
- [j13]Yao Lu, Jukka Corander, Zhirong Yang:
Doubly Stochastic Neighbor Embedding on Spheres. Pattern Recognit. Lett. 128: 100-106 (2019) - [c29]Yao Lu, Zhirong Yang, Juho Kannala, Samuel Kaski:
Learning Image Relations with Contrast Association Networks. IJCNN 2019: 1-7 - 2018
- [c28]Denis Sedov, Zhirong Yang:
Word Embedding Based on Low-Rank Doubly Stochastic Matrix Decomposition. ICONIP (3) 2018: 90-100 - [i5]Denis Sedov, Zhirong Yang:
Word Embedding based on Low-Rank Doubly Stochastic Matrix Decomposition. CoRR abs/1812.10401 (2018) - 2017
- [j12]Zhirong Yang, Yu Wang, Xibei Yang:
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 44(9): 67-69 (2017) - [i4]Yao Lu, Zhirong Yang, Juho Kannala, Samuel Kaski:
Learning Image Relations with Contrast Association Networks. CoRR abs/1705.05665 (2017) - 2016
- [j11]Zhirong Yang, Jukka Corander, Erkki Oja:
Low-Rank Doubly Stochastic Matrix Decomposition for Cluster Analysis. J. Mach. Learn. Res. 17: 187:1-187:25 (2016) - [i3]Yao Lu, Zhirong Yang, Jukka Corander:
Doubly Stochastic Neighbor Embedding on Spheres. CoRR abs/1609.01977 (2016) - 2015
- [j10]He Zhang, Mehmet Gönen, Zhirong Yang, Erkki Oja:
Understanding emotional impact of images using Bayesian multiple kernel learning. Neurocomputing 165: 3-13 (2015) - [j9]Onur Dikmen, Zhirong Yang, Erkki Oja:
Learning the Information Divergence. IEEE Trans. Pattern Anal. Mach. Intell. 37(7): 1442-1454 (2015) - [c27]Zhirong Yang, Jaakko Peltonen, Samuel Kaski:
Majorization-Minimization for Manifold Embedding. AISTATS 2015 - [c26]Ruqi Zhang, Zhirong Yang, Jukka Corander:
Denoising Cluster Analysis. ICONIP (3) 2015: 435-442 - 2014
- [j8]He Zhang, Zhirong Yang, Erkki Oja:
Adaptive multiplicative updates for quadratic nonnegative matrix factorization. Neurocomputing 134: 206-213 (2014) - [j7]He Zhang, Zhirong Yang, Erkki Oja:
Improving cluster analysis by co-initializations. Pattern Recognit. Lett. 45: 71-77 (2014) - [c25]Zhirong Yang, Jaakko Peltonen, Samuel Kaski:
Optimization Equivalence of Divergences Improves Neighbor Embedding. ICML 2014: 460-468 - [i2]Onur Dikmen, Zhirong Yang, Erkki Oja:
Learning the Information Divergence. CoRR abs/1406.1385 (2014) - 2013
- [c24]Zhirong Yang, Jaakko Peltonen, Samuel Kaski:
Scalable Optimization of Neighbor Embedding for Visualization. ICML (2) 2013: 127-135 - [c23]He Zhang, Zhirong Yang, Mehmet Gönen, Markus Koskela, Jorma Laaksonen, Timo Honkela, Erkki Oja:
Affective Abstract Image Classification and Retrieval Using Multiple Kernel Learning. ICONIP (3) 2013: 166-175 - [c22]He Zhang, Mehmet Gönen, Zhirong Yang, Erkki Oja:
Predicting Emotional States of Images Using Bayesian Multiple Kernel Learning. ICONIP (3) 2013: 274-282 - [c21]Zhanxing Zhu, Zhirong Yang, Erkki Oja:
Multiplicative Updates for Learning with Stochastic Matrices. SCIA 2013: 143-152 - 2012
- [j6]Zhirong Yang, Erkki Oja:
Quadratic nonnegative matrix factorization. Pattern Recognit. 45(4): 1500-1510 (2012) - [c20]He Zhang, Tele Hao, Zhirong Yang, Erkki Oja:
Pairwise Clustering with t-PLSI. ICANN (2) 2012: 411-418 - [c19]Zhiyun Lu, Zhirong Yang, Erkki Oja:
Selecting β-Divergence for Nonnegative Matrix Factorization by Score Matching. ICANN (2) 2012: 419-426 - [c18]Zhirong Yang, Erkki Oja:
Clustering by Low-Rank Doubly Stochastic Matrix Decomposition. ICML 2012 - [c17]He Zhang, Zhirong Yang, Erkki Oja:
Adaptive Multiplicative Updates for Projective Nonnegative Matrix Factorization. ICONIP (3) 2012: 277-284 - [c16]Zhirong Yang, He Zhang, Erkki Oja:
Online Projective Nonnegative Matrix Factorization for Large Datasets. ICONIP (3) 2012: 285-290 - [c15]Zhirong Yang, Tele Hao, Onur Dikmen, Xi Chen, Erkki Oja:
Clustering by Nonnegative Matrix Factorization Using Graph Random Walk. NIPS 2012: 1088-1096 - [i1]Zhirong Yang, Erkki Oja:
Clustering by Low-Rank Doubly Stochastic Matrix Decomposition. CoRR abs/1206.4676 (2012) - 2011
- [j5]Zhirong Yang, Erkki Oja:
Unified Development of Multiplicative Algorithms for Linear and Quadratic Nonnegative Matrix Factorization. IEEE Trans. Neural Networks 22(12): 1878-1891 (2011) - [c14]Zhirong Yang, He Zhang, Zhijian Yuan, Erkki Oja:
Kullback-Leibler Divergence for Nonnegative Matrix Factorization. ICANN (1) 2011: 250-257 - 2010
- [j4]Zhirong Yang, Erkki Oja:
Linear and nonlinear projective nonnegative matrix factorization. IEEE Trans. Neural Networks 21(5): 734-749 (2010) - [c13]Yu Xiao, Rijubrata Bhaumik, Zhirong Yang, Matti Siekkinen, Petri Savolainen, Antti Ylä-Jääski:
A System-Level Model for Runtime Power Estimation on Mobile Devices. GreenCom/CPSCom 2010: 27-34 - [c12]Zhirong Yang, Zhanxing Zhu, Erkki Oja:
Automatic Rank Determination in Projective Nonnegative Matrix Factorization. LVA/ICA 2010: 514-521
2000 – 2009
- 2009
- [c11]Zhirong Yang, Erkki Oja:
Projective Nonnegative Matrix Factorization with α-Divergence. ICANN (1) 2009: 20-29 - [c10]Zenglin Xu, Rong Jin, Jianke Zhu, Irwin King, Michael R. Lyu, Zhirong Yang:
Adaptive Regularization for Transductive Support Vector Machine. NIPS 2009: 2125-2133 - [c9]Zhirong Yang, Irwin King, Zenglin Xu, Erkki Oja:
Heavy-Tailed Symmetric Stochastic Neighbor Embedding. NIPS 2009: 2169-2177 - [c8]Zhirong Yang, Jorma Laaksonen:
Informative Laplacian Projection. SCIA 2009: 359-368 - 2008
- [b1]Zhirong Yang:
Discriminative learning with application to interactive facial image retrieval. Helsinki University of Technology, Finland, 2008 - [j3]Zhirong Yang, Jorma Laaksonen:
Principal whitened gradient for information geometry. Neural Networks 21(2-3): 232-240 (2008) - 2007
- [j2]Zhirong Yang, Jorma Laaksonen:
Multiplicative updates for non-negative projections. Neurocomputing 71(1-3): 363-373 (2007) - [j1]Zhirong Yang, Zhijian Yuan, Jorma Laaksonen:
Projective Non-Negative Matrix Factorization with Applications to Facial Image Processing. Int. J. Pattern Recognit. Artif. Intell. 21(8): 1353-1362 (2007) - [c7]Zhirong Yang, Jorma Laaksonen:
Face Recognition Using Parzenfaces. ICANN (2) 2007: 200-209 - [c6]Zhirong Yang, Jorma Laaksonen:
Approximated Geodesic Updates with Principal Natural Gradients. IJCNN 2007: 1320-1325 - [c5]Zhirong Yang, Jorma Laaksonen:
Regularized Neighborhood Component Analysis. SCIA 2007: 253-262 - 2006
- [c4]Zhirong Yang, Jorma Laaksonen:
A Fast Fixed-Point Algorithm for Two-Class Discriminative Feature Extraction. ICANN (2) 2006: 330-339 - 2005
- [c3]Zhirong Yang, Jorma Laaksonen:
Partial Relevance in Interactive Facial Image Retrieval. ICAPR (2) 2005: 216-225 - [c2]Zhirong Yang, Jorma Laaksonen:
Interactive Retrieval in Facial Image Database Using Self-Organizing Maps. MVA 2005: 112-115 - [c1]Zhirong Yang, Jorma Laaksonen:
Approximated Classification in Interactive Facial Image Retrieval. SCIA 2005: 770-779
Coauthor Index
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