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ORCIDAndrzej Cichocki
Andrzej S. Cichocki
Person information
- affiliation: Riken Brain Science Institute, Wako, Japan
- affiliation: Polska Akademia, Warszawa, Poland
- affiliation: Warsaw University of Technology, Poland
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2020 – today
- 2025
[j276]Yixuan Zhou, Peiyu Yang, Yi Qu, Xing Xu, Zhe Sun, Andrzej Cichocki:
AnoOnly: Semi-supervised anomaly detection with the only loss on anomalies. Expert Syst. Appl. 262: 125597 (2025)- 2024
- [j275]Salman Ahmadi-Asl
, Stanislav Abukhovich, Maame G. Asante-Mensah, Andrzej Cichocki, Anh Huy Phan, Tohishisa Tanaka, Ivan V. Oseledets:
Corrections to "Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD)". IEEE Access 12: 70742 (2024) - [j274]Salman Ahmadi-Asl, Anh Huy Phan, Cesar F. Caiafa, Andrzej Cichocki:
Robust low tubal rank tensor recovery using discrete empirical interpolation method with optimized slice/feature selection. Adv. Comput. Math. 50(2): 23 (2024) - [j273]Salman Ahmadi-Asl, Anh Huy Phan, Andrzej Cichocki:
A Randomized Algorithm for Tensor Singular Value Decomposition Using an Arbitrary Number of Passes. J. Sci. Comput. 98(1): 23 (2024) - [j272]Shurui Li, Ian Daly, Cuntai Guan, Andrzej Cichocki, Jing Jin:
Inter-participant transfer learning with attention based domain adversarial training for P300 detection. Neural Networks 180: 106655 (2024) - [j271]Xinjie He, Brendan Z. Allison, Ke Qin, Wei Liang, Xingyu Wang, Andrzej Cichocki, Jing Jin:
Leveraging Transfer Superposition Theory for Stable-State Visual Evoked Potential Cross-Subject Frequency Recognition. IEEE Trans. Biomed. Eng. 71(11): 3071-3084 (2024) - [j270]Jing Jin, Ruitian Xu, Ian Daly, Xueqing Zhao, Xingyu Wang, Andrzej Cichocki:
MOCNN: A Multiscale Deep Convolutional Neural Network for ERP-Based Brain-Computer Interfaces. IEEE Trans. Cybern. 54(9): 5565-5576 (2024) - [j269]Youshen Xia, Qingshan Liu, Jun Wang, Andrzej Cichocki:
A Survey of Neurodynamic Optimization. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2677-2696 (2024) - [j268]Ke Qin, Ren Xu, Xinjie He, Yutao Zhang, Xingyu Wang, Andrzej Cichocki, Jing Jin:
A Time-Local Transformation Steady-State Visual Evoked Potentials Recognition Framework Combined With Filter Banks. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j267]Shenshen Li, Xing Xu, Xun Jiang, Fumin Shen, Zhe Sun, Andrzej Cichocki:
Cross-Modal Attention Preservation with Self-Contrastive Learning for Composed Query-Based Image Retrieval. ACM Trans. Multim. Comput. Commun. Appl. 20(6): 165:1-165:22 (2024) - [j266]Wenfei Cao, Xia Chen, Shoucheng Yan, Zeyue Zhou, Andrzej Cichocki:
1-Bit Tensor Completion via Max-and-Nuclear-Norm Composite Optimization. IEEE Trans. Signal Process. 72: 3487-3501 (2024) - [c281]Airat Kotliar-Shapirov, Sergei Gostilovich, Anastasia Sozykina, Anh Huy Phan, Andrzej Cichocki:
Granger Connectivity Analysis as a Block-Term Tensor Regression for eSport Players. ICASSP 2024: 3290-3294 - [i68]Andrzej Cichocki, Sergio Cruces, Auxiliadora Sarmiento, Toshihisa Tanaka:
Generalized Exponentiated Gradient Algorithms and Their Application to On-Line Portfolio Selection. CoRR abs/2406.00655 (2024) - [i67]Yixuan Zhou, Xing Xu, Zhe Sun, Jingkuan Song, Andrzej Cichocki, Heng Tao Shen:
VQ-Flow: Taming Normalizing Flows for Multi-Class Anomaly Detection via Hierarchical Vector Quantization. CoRR abs/2409.00942 (2024) - 2023
- [j265]Maame G. Asante-Mensah, Anh Huy Phan, Salman Ahmadi-Asl, Zaher Al Aghbari, Andrzej Cichocki:
Image reconstruction using superpixel clustering and tensor completion. Signal Process. 212: 109158 (2023) - [j264]Salman Ahmadi-Asl, Maame Gyamfua Asante-Mensah, Andrzej Cichocki, Anh-Huy Phan, Ivan V. Oseledets, Jun Wang:
Fast cross tensor approximation for image and video completion. Signal Process. 213: 109121 (2023) - [j263]Yong Peng, Honggang Liu, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki:
Joint EEG Feature Transfer and Semisupervised Cross-Subject Emotion Recognition. IEEE Trans. Ind. Informatics 19(7): 8104-8115 (2023) - [j262]Jing Jin, Zhiqiang Wang, Ren Xu, Chang Liu, Xingyu Wang, Andrzej Cichocki:
Robust Similarity Measurement Based on a Novel Time Filter for SSVEPs Detection. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4096-4105 (2023) - [j261]Hangjun Che, Jun Wang, Andrzej Cichocki:
Bicriteria Sparse Nonnegative Matrix Factorization via Two-Timescale Duplex Neurodynamic Optimization. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4881-4891 (2023) - [c280]Salman Ahmadi-Asl, Anh Huy Phan, Andrzej Cichocki, Ashish Jha, Anastasia Sozykina, Jun Wang, Ivan V. Oseledets:
Fast Adaptive Cross Tubal Tensor Approximation. SSP 2023: 552-556 - [i66]Salman Ahmadi-Asl, Anh Huy Phan, Cesar F. Caiafa, Andrzej Cichocki:
Robust Low-Tubal-rank tensor recovery Using Discrete Empirical Interpolation Method with Optimized Slice/Feature Selection. CoRR abs/2305.00749 (2023) - [i65]Salman Ahmadi-Asl, Anh Huy Phan, Andrzej Cichocki, Anastasia Sozykina, Zaher Al Aghbari, Jun Wang, Ivan V. Oseledets:
Adaptive Cross Tubal Tensor Approximation. CoRR abs/2305.05030 (2023) - [i64]Maame G. Asante-Mensah, Anh Huy Phan, Salman Ahmadi-Asl, Zaher Al Aghbari, Andrzej Cichocki:
Image Reconstruction using Superpixel Clustering and Tensor Completion. CoRR abs/2305.09564 (2023) - [i63]Ashish Jha, Dimitrii Ermilov, Konstantin Sobolev, Anh Huy Phan, Salman Ahmadi-Asl, Naveed Ahmed, Imran N. Junejo, Zaher Al Aghbari, Thar Baker, Ahmed Mohamed Khedr, Andrzej Cichocki:
Lightweight Attribute Localizing Models for Pedestrian Attribute Recognition. CoRR abs/2306.09822 (2023) - [i62]Farnaz Sedighin, Andrzej Cichocki, Hossein Rabbani:
Optical Coherence Tomography Image Enhancement via Block Hankelization and Low Rank Tensor Network Approximation. CoRR abs/2306.11750 (2023) - [i61]Daria Cherniuk, Stanislav Abukhovich, Anh Huy Phan, Ivan V. Oseledets, Andrzej Cichocki, Julia Gusak:
Quantization Aware Factorization for Deep Neural Network Compression. CoRR abs/2308.04595 (2023) - 2022
- [j260]Kahoko Takahashi, Zhe Sun, Jordi Solé-Casals, Andrzej Cichocki, Anh Huy Phan, Qibin Zhao, Hui-Hai Zhao, Shangkun Deng, Ruggero Micheletto:
Data augmentation for Convolutional LSTM based brain computer interface system. Appl. Soft Comput. 122: 108811 (2022) - [j259]Hangjun Che, Jun Wang, Andrzej Cichocki:
Sparse signal reconstruction via collaborative neurodynamic optimization. Neural Networks 154: 255-269 (2022) - [j258]Yong Peng, Wenjuan Wang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki:
Joint Feature Adaptation and Graph Adaptive Label Propagation for Cross-Subject Emotion Recognition From EEG Signals. IEEE Trans. Affect. Comput. 13(4): 1941-1958 (2022) - [j257]Shu Gong, Kaibo Xing, Andrzej Cichocki, Junhua Li:
Deep Learning in EEG: Advance of the Last Ten-Year Critical Period. IEEE Trans. Cogn. Dev. Syst. 14(2): 348-365 (2022) - [j256]Yong Peng, Feiwei Qin, Wanzeng Kong, Yuan Ge, Feiping Nie, Andrzej Cichocki:
GFIL: A Unified Framework for the Importance Analysis of Features, Frequency Bands, and Channels in EEG-Based Emotion Recognition. IEEE Trans. Cogn. Dev. Syst. 14(3): 935-947 (2022) - [j255]Zhiqiang Wang, Jing Jin, Ren Xu, Chang Liu, Xingyu Wang, Andrzej Cichocki:
Efficient Spatial Filters Enhance SSVEP Target Recognition Based on Task-Related Component Analysis. IEEE Trans. Cogn. Dev. Syst. 14(3): 1119-1128 (2022) - [j254]Tian Wang, Anastasios Bezerianos, Andrzej Cichocki, Junhua Li:
Multikernel Capsule Network for Schizophrenia Identification. IEEE Trans. Cybern. 52(6): 4741-4750 (2022) - [j253]Yong Peng, Yikai Zhang, Wanzeng Kong, Feiping Nie, Bao-Liang Lu, Andrzej Cichocki:
S3LRR: A Unified Model for Joint Discriminative Subspace Identification and Semisupervised EEG Emotion Recognition. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j252]Tatsuya Yokota, Hidekata Hontani, Qibin Zhao, Andrzej Cichocki:
Manifold Modeling in Embedded Space: An Interpretable Alternative to Deep Image Prior. IEEE Trans. Neural Networks Learn. Syst. 33(3): 1022-1036 (2022) - [j251]Yu Zhang, Tao Zhou, Wei Wu, Hua Xie, Hongru Zhu, Guoxu Zhou, Andrzej Cichocki:
Improving EEG Decoding via Clustering-Based Multitask Feature Learning. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3587-3597 (2022) - [c279]Konstantin Sozykin, Andrei Chertkov, Roman Schutski, Anh-Huy Phan, Andrzej S. Cichocki, Ivan V. Oseledets:
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning. NeurIPS 2022 - [i60]Anh-Huy Phan, Konstantin Sobolev, Dmitry Ermilov, Igor Vorona, Nikolay Kozyrskiy, Petr Tichavský, Andrzej Cichocki:
How to Train Unstable Looped Tensor Network. CoRR abs/2203.02617 (2022) - [i59]Konstantin Sozykin, Andrei Chertkov, Roman Schutski, Anh Huy Phan, Andrzej Cichocki, Ivan V. Oseledets:
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning. CoRR abs/2205.00293 (2022) - [i58]Salman Ahmadi-Asl, Maame Gyamfua Asante-Mensah, Andrzej Cichocki, Anh Huy Phan, Ivan V. Oseledets, Jun Wang:
Cross Tensor Approximation for Image and Video Completion. CoRR abs/2207.06072 (2022) - 2021
- [j250]Zhe Sun, Binghua Li, Feng Duan, Hao Jia, Shan Wang, Yu Liu, Andrzej Cichocki, Cesar F. Caiafa, Jordi Solé-Casals:
WLnet: Towards an Approach for Robust Workload Estimation Based on Shallow Neural Networks. IEEE Access 9: 3165-3173 (2021) - [j249]Salman Ahmadi-Asl, Stanislav Abukhovich, Maame G. Asante-Mensah, Andrzej Cichocki, Anh-Huy Phan, Toshihisa Tanaka, Ivan V. Oseledets:
Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD). IEEE Access 9: 28684-28706 (2021) - [j248]Salman Ahmadi-Asl, Cesar F. Caiafa, Andrzej Cichocki, Anh Huy Phan, Toshihisa Tanaka, Ivan V. Oseledets, Jun Wang:
Cross Tensor Approximation Methods for Compression and Dimensionality Reduction. IEEE Access 9: 150809-150838 (2021) - [j247]Ying Mao, Jing Jin, Shurui Li, Yangyang Miao, Andrzej Cichocki:
Effects of Skin Friction on Tactile P300 Brain-Computer Interface Performance. Comput. Intell. Neurosci. 2021: 6694310:1-6694310:10 (2021) - [j246]Andrzej Cichocki, Alexander P. Kuleshov:
Future Trends for Human-AI Collaboration: A Comprehensive Taxonomy of AI/AGI Using Multiple Intelligences and Learning Styles. Comput. Intell. Neurosci. 2021: 8893795:1-8893795:21 (2021) - [j245]Farnaz Sedighin, Andrzej Cichocki:
Image Completion in Embedded Space Using Multistage Tensor Ring Decomposition. Frontiers Artif. Intell. 4: 687176 (2021) - [j244]Ying Mao, Jing Jin, Ren Xu, Shurui Li, Yangyang Miao, Andrzej Cichocki:
The Influence of Visual Attention on The Performance of A Novel Tactile P300 Brain-Computer Interface with Cheeks-Stim Paradigm. Int. J. Neural Syst. 31(4): 2150004:1-2150004:18 (2021) - [j243]Jing Jin, Hua Fang, Ian Daly, Ruocheng Xiao, Yangyang Miao, Xingyu Wang, Andrzej Cichocki:
Optimization of Model Training Based on Iterative Minimum Covariance Determinant In Motor-Imagery BCI. Int. J. Neural Syst. 31(7): 2150030:1-2150030:15 (2021) - [j242]Hao Sun, Jing Jin, Ren Xu, Andrzej Cichocki:
Feature Selection Combining Filter and Wrapper Methods for Motor-Imagery Based Brain-Computer Interfaces. Int. J. Neural Syst. 31(9): 2150040:1-2150040:17 (2021) - [j241]Farnaz Sedighin, Andrzej Cichocki, Anh-Huy Phan:
Adaptive Rank Selection for Tensor Ring Decomposition. IEEE J. Sel. Top. Signal Process. 15(3): 454-463 (2021) - [j240]Petr Tichavský, Anh-Huy Phan, Andrzej Cichocki:
Krylov-Levenberg-Marquardt Algorithm for Structured Tucker Tensor Decompositions. IEEE J. Sel. Top. Signal Process. 15(3): 550-559 (2021) - [j239]Salman Ahmadi-Asl, Andrzej Cichocki, Anh Huy Phan, Maame G. Asante-Mensah, Mirfarid Musavian Ghazani, Toshihisa Tanaka, Ivan V. Oseledets:
Randomized algorithms for fast computation of low rank tensor ring model. Mach. Learn. Sci. Technol. 2(1): 11001 (2021) - [j238]Maame G. Asante-Mensah, Salman Ahmadi-Asl, Andrzej Cichocki:
Matrix and tensor completion using tensor ring decomposition with sparse representation. Mach. Learn. Sci. Technol. 2(3): 35008 (2021) - [j237]Yichun Qiu, Guoxu Zhou, Yu Zhang, Andrzej Cichocki:
Canonical polyadic decomposition (CPD) of big tensors with low multilinear rank. Multim. Tools Appl. 80(15): 22987-23007 (2021) - [j236]Aurélien Appriou, Léa Pillette, David Trocellier, Dan Dutartre, Andrzej Cichocki, Fabien Lotte:
BioPyC, an Open-Source Python Toolbox for Offline Electroencephalographic and Physiological Signals Classification. Sensors 21(17): 5740 (2021) - [j235]Yong Peng, Wanzeng Kong, Feiwei Qin, Feiping Nie, Jinglong Fang, Bao-Liang Lu, Andrzej Cichocki:
Self-Weighted Semi-Supervised Classification for Joint EEG-Based Emotion Recognition and Affective Activation Patterns Mining. IEEE Trans. Instrum. Meas. 70: 1-11 (2021) - [j234]Jing Jin, Ruocheng Xiao, Ian Daly, Yangyang Miao, Xingyu Wang, Andrzej Cichocki:
Internal Feature Selection Method of CSP Based on L1-Norm and Dempster-Shafer Theory. IEEE Trans. Neural Networks Learn. Syst. 32(11): 4814-4825 (2021) - [c278]Igor Vorona, Anh-Huy Phan, Alexander Panchenko, Andrzej Cichocki:
Documents Representation via Generalized Coupled Tensor Chain with the Rotation Group constraint. ACL/IJCNLP (Findings) 2021: 1674-1684 - [c277]Jiajia Tang, Kang Li, Xuanyu Jin, Andrzej Cichocki, Qibin Zhao, Wanzeng Kong:
CTFN: Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network. ACL/IJCNLP (1) 2021: 5301-5311 - [c276]Anh-Huy Phan, Petr Tichavský, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov, Andrzej Cichocki:
Canonical Polyadic Tensor Decomposition With Low-Rank Factor Matrices. ICASSP 2021: 4690-4694 - [c275]Alexander Poylisher, Andrzej Cichocki, Katherine Guo, James Hunziker, Latha A. Kant, Bhaskar Krishnamachari, Salman Avestimehr, Murali Annavaram:
Tactical Jupiter: Dynamic Scheduling of Dispersed Computations in Tactical MANETs. MILCOM 2021: 102-107 - [i57]Michele Nazareth da Costa, Romis Attux, Andrzej Cichocki, João M. T. Romano:
Tensor-Train Networks for Learning Predictive Modeling of Multidimensional Data. CoRR abs/2101.09184 (2021) - [i56]Julia Gusak, Alexandr Katrutsa, Talgat Daulbaev, Andrzej Cichocki, Ivan V. Oseledets:
Meta-Solver for Neural Ordinary Differential Equations. CoRR abs/2103.08561 (2021) - [i55]Zihao Huang, Zhe Sun, Feng Duan, Andrzej Cichocki, Peiying Ruan, Chao Li:
L3C-Stereo: Lossless Compression for Stereo Images. CoRR abs/2108.09422 (2021) - 2020
- [j233]Li Zhu, Chongwei Su, Jianhai Zhang, Gaochao Cui, Andrzej Cichocki, Changle Zhou, Junhua Li:
EEG-based approach for recognizing human social emotion perception. Adv. Eng. Informatics 46: 101191 (2020) - [j232]Yong Peng, Qingxi Li, Wanzeng Kong, Feiwei Qin, Jianhai Zhang, Andrzej Cichocki:
A joint optimization framework to semi-supervised RVFL and ELM networks for efficient data classification. Appl. Soft Comput. 97(Part): 106756 (2020) - [j231]Zongmei Chen, Jing Jin, Ian Daly, Cili Zuo, Xingyu Wang, Andrzej Cichocki:
Effects of Visual Attention on Tactile P300 BCI. Comput. Intell. Neurosci. 2020: 6549189:1-6549189:11 (2020) - [j230]Qianqian Liu, Yong Jiao, Yangyang Miao, Cili Zuo, Xingyu Wang, Andrzej Cichocki, Jing Jin:
Efficient representations of EEG signals for SSVEP frequency recognition based on deep multiset CCA. Neurocomputing 378: 36-44 (2020) - [j229]Anh-Huy Phan, Masao Yamagishi, Danilo P. Mandic, Andrzej Cichocki:
Quadratic programming over ellipsoids with applications to constrained linear regression and tensor decomposition. Neural Comput. Appl. 32(11): 7097-7120 (2020) - [j228]Sidney R. Lehky, Anh Huy Phan, Andrzej Cichocki, Keiji Tanaka:
Face Representations via Tensorfaces of Various Complexities. Neural Comput. 32(2): 281-329 (2020) - [j227]Farnaz Sedighin, Andrzej Cichocki, Tatsuya Yokota, Qiquan Shi:
Matrix and Tensor Completion in Multiway Delay Embedded Space Using Tensor Train, With Application to Signal Reconstruction. IEEE Signal Process. Lett. 27: 810-814 (2020) - [j226]Anh-Huy Phan, Andrzej Cichocki, Ivan V. Oseledets, Giuseppe Giovanni Calvi, Salman Ahmadi-Asl, Danilo P. Mandic:
Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition. IEEE Trans. Neural Networks Learn. Syst. 31(6): 2174-2188 (2020) - [j225]Anh-Huy Phan, Andrzej Cichocki, André Uschmajew, Petr Tichavský, George Luta, Danilo P. Mandic:
Tensor Networks for Latent Variable Analysis: Novel Algorithms for Tensor Train Approximation. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4622-4636 (2020) - [c274]Qiquan Shi, Jiaming Yin, Jiajun Cai, Andrzej Cichocki, Tatsuya Yokota, Lei Chen, Mingxuan Yuan, Jia Zeng:
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting. AAAI 2020: 5758-5766 - [c273]Anh Huy Phan, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov, Julia Gusak, Petr Tichavský, Valeriy Glukhov, Ivan V. Oseledets, Andrzej Cichocki:
Stable Low-Rank Tensor Decomposition for Compression of Convolutional Neural Network. ECCV (29) 2020: 522-539 - [c272]Yong Peng, Qingxi Li, Wanzeng Kong, Jianhai Zhang, Bao-Liang Lu, Andrzej Cichocki:
Joint Semi-Supervised Feature Auto-Weighting and Classification Model for EEG-Based Cross-Subject Sleep Quality Evaluation. ICASSP 2020: 946-950 - [c271]Petr Tichavský, Anh Huy Phan, Andrzej Cichocki:
Weighted Krylov-Levenberg-Marquardt Method for Canonical Polyadic Tensor Decomposition. ICASSP 2020: 3917-3921 - [c270]Talgat Daulbaev, Alexandr Katrutsa, Larisa Markeeva, Julia Gusak, Andrzej Cichocki, Ivan V. Oseledets:
Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs. NeurIPS 2020 - [i54]Salman Ahmadi-Asl, Andrzej Cichocki, Anh Huy Phan, Ivan V. Oseledets, Stanislav Abukhovich, Toshihisa Tanaka:
Randomized Algorithms for Computation of Tucker decomposition and Higher Order SVD (HOSVD). CoRR abs/2001.07124 (2020) - [i53]Evgeny Ponomarev, Ivan V. Oseledets, Andrzej Cichocki:
Using Reinforcement Learning in the Algorithmic Trading Problem. CoRR abs/2002.11523 (2020) - [i52]Qiquan Shi, Jiaming Yin, Jiajun Cai, Andrzej Cichocki, Tatsuya Yokota, Lei Chen, Mingxuan Yuan, Jia Zeng:
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting. CoRR abs/2002.12135 (2020) - [i51]Talgat Daulbaev, Alexandr Katrutsa, Larisa Markeeva, Julia Gusak, Andrzej Cichocki, Ivan V. Oseledets:
Interpolated Adjoint Method for Neural ODEs. CoRR abs/2003.05271 (2020) - [i50]Julia Gusak, Larisa Markeeva, Talgat Daulbaev, Alexandr Katrutsa, Andrzej Cichocki, Ivan V. Oseledets:
Towards Understanding Normalization in Neural ODEs. CoRR abs/2004.09222 (2020) - [i49]Andrzej Cichocki:
On Multiple Intelligences and Learning Styles for Artificial Intelligence Systems: Future Research Trends in AI with a Human Face? CoRR abs/2008.04793 (2020) - [i48]Anh Huy Phan, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov, Julia Gusak, Petr Tichavský, Valeriy Glukhov, Ivan V. Oseledets, Andrzej Cichocki:
Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network. CoRR abs/2008.05441 (2020) - [i47]Shu Gong, Kaibo Xing, Andrzej Cichocki, Junhua Li:
Deep Learning in EEG: Advance of the Last Ten-Year Critical Period. CoRR abs/2011.11128 (2020) - [i46]Yu Zhang, Tao Zhou, Wei Wu, Hua Xie, Hongru Zhu, Guoxu Zhou, Andrzej Cichocki:
Improving EEG Decoding via Clustering-based Multi-task Feature Learning. CoRR abs/2012.06813 (2020)
2010 – 2019
- 2019
- [j224]Zhiwen Zhang, Feng Duan, Jordi Solé-Casals, Josep Dinarès-Ferran, Andrzej Cichocki, Zhenglu Yang, Zhe Sun:
A Novel Deep Learning Approach With Data Augmentation to Classify Motor Imagery Signals. IEEE Access 7: 15945-15954 (2019) - [j223]Jiankui Feng, Jing Jin, Ian Daly, Jiale Zhou, Yugang Niu, Xingyu Wang, Andrzej Cichocki:
An Optimized Channel Selection Method Based on Multifrequency CSP-Rank for Motor Imagery-Based BCI System. Comput. Intell. Neurosci. 2019: 8068357:1-8068357:10 (2019) - [j222]Miaoji Guo, Jing Jin, Yong Jiao, Xingyu Wang, Andrzej Cichocki:
Investigation of Visual Stimulus With Various Colors and the Layout for the Oddball Paradigm in Evoked Related Potential-Based Brain-Computer Interface. Frontiers Comput. Neurosci. 13: 24 (2019) - [j221]Wanzeng Kong, Xianghao Kong, Qiaonan Fan, Qibin Zhao, Andrzej Cichocki:
Task-free brainprint recognition based on low-rank and sparse decomposition model. Int. J. Data Min. Bioinform. 22(3): 280-300 (2019) - [j220]Qiang Wu, Yu Zhang, Ju Liu, Jiande Sun, Andrzej Cichocki, Feng Gao:
Regularized Group Sparse Discriminant Analysis for P300-Based Brain-Computer Interface. Int. J. Neural Syst. 29(6): 1950002:1-1950002:15 (2019) - [j219]Jing Jin, Yangyang Miao, Ian Daly, Cili Zuo, Dewen Hu, Andrzej Cichocki:
Correlation-based channel selection and regularized feature optimization for MI-based BCI. Neural Networks 118: 262-270 (2019) - [j218]Li Zhu, Gaochao Cui, Jianting Cao, Andrzej Cichocki, Jianhai Zhang, Changle Zhou:
A Hybrid System for Distinguishing between Brain Death and Coma Using Diverse EEG Features. Sensors 19(6): 1342 (2019) - [j217]Petr Tichavský, Anh-Huy Phan, Andrzej Cichocki:
Sensitivity in Tensor Decomposition. IEEE Signal Process. Lett. 26(11): 1653-1657 (2019) - [j216]Danilo P. Mandic, Petar M. Djuric, Andrzej Cichocki, Clive Cheong Took, Saeid Sanei, Lajos Hanzo:
Quo Vadis ICASSP: Echoes of 2019 ICASSP in Brighton, United Kingdom: Signal Processing Meets the Needs of Modern Humankind [Conference Highlights]. IEEE Signal Process. Mag. 36(5): 127-134 (2019) - [j215]Wei-Long Zheng, Wei Liu, Yifei Lu, Bao-Liang Lu, Andrzej Cichocki:
EmotionMeter: A Multimodal Framework for Recognizing Human Emotions. IEEE Trans. Cybern. 49(3): 1110-1122 (2019) - [j214]Yu Zhang, Chang S. Nam, Guoxu Zhou, Jing Jin, Xingyu Wang, Andrzej Cichocki:
Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI. IEEE Trans. Cybern. 49(9): 3322-3332 (2019) - [j213]Yong Jiao, Yu Zhang, Xun Chen, Erwei Yin, Jing Jin, Xingyu Wang, Andrzej Cichocki:
Sparse Group Representation Model for Motor Imagery EEG Classification. IEEE J. Biomed. Health Informatics 23(2): 631-641 (2019) - [j212]Anh-Huy Phan, Petr Tichavský, Andrzej Cichocki:
Error Preserving Correction: A Method for CP Decomposition at a Target Error Bound. IEEE Trans. Signal Process. 67(5): 1175-1190 (2019) - [c269]Yong Peng, Yanfang Long, Feiwei Qin, Wanzeng Kong, Feiping Nie, Andrzej Cichocki:
Flexible Non-negative Matrix Factorization with Adaptively Learned Graph Regularization. ICASSP 2019: 3107-3111 - [c268]Yong Peng, Rixin Tang, Wanzeng Kong, Jianhai Zhang, Feiping Nie, Andrzej Cichocki:
Joint Structured Graph Learning and Clustering Based on Concept Factorization. ICASSP 2019: 3162-3166 - [c267]Yong Peng, Leijie Zhang, Wanzeng Kong, Feiping Nie, Andrzej Cichocki:
Joint Structured Graph Learning and Unsupervised Feature Selection. ICASSP 2019: 3572-3576 - [c266]Qibin Zhao, Masashi Sugiyama, Longhao Yuan, Andrzej Cichocki:
Learning Efficient Tensor Representations with Ring-structured Networks. ICASSP 2019: 8608-8612 - [c265]Julia Gusak, Maksym Kholyavchenko, Evgeny Ponomarev, Larisa Markeeva, Philip Blagoveschensky, Andrzej Cichocki, Ivan V. Oseledets:
Automated Multi-Stage Compression of Neural Networks. ICCV Workshops 2019: 2501-2508 - [i45]