ジャーナル論文 / Journal
  1. Zhou, Y., Yang, P., Qu, Y., Xu, X., Zhe, S., and Cichocki, A., "AnoOnly: Semi-supervised anomaly detection with the only loss on anomalies", Expert Syst. Appl., 125597, (2024).
  2. Zhao, X., Xu, R., Xu, R., Wang, X., Cichocki, A., and Jin, J., "An auto-segmented multi-time window dual-scale neural network for brain-computer interfaces based on event-related potentials", J. Neural Eng. 21(4), 046008, (2024).
  3. Zhang, D., Huang, H., Zhao, Q., and Zhou, G., "Generalized latent multi-view clustering with tensorized bipartite graph", Neural Netw. 175, 106282, (2024).
  4. Zeng, J., Qiu, Y., Ma, Y., Wang, A., and Zhao, Q., "A Novel Tensor Ring Sparsity Measurement for Image Completion", Entropy 26(2), 105, (2024).
  5. Xiao, C., Huang, Y., Huang, H., Zhao, Q., and Zhou, G., "Consistency and Diversity Induced Tensorized Multi-View Subspace Clustering", IEE Trans. Emerg. Topics Comput. Intell. PP(99), 1–12, (2024).
  6. Xia, Y., Liu, Q., Wang, J., and Cichocki, A., "A Survey of Neurodynamic Optimization", IEE Trans. Emerg. Topics Comput. Intell. 8(4), 2677–2696, (2024).
  7. Tao, Z., Tanaka, T., and Zhao, Q., "Nonparametric tensor ring decomposition with scalable amortized inference", Neural Netw. 169, 431–441, (2024).
  8. Tang, J., Yang, Y., Zhao, Q., Ding, Y., Zhang, J., Song, Y., and Kong, W., "Visual guided Dual-spatial Interaction Network for Fine-grained Brain Semantic Decoding", IEEE Trans. Instrum. Meas. PP(99), 1–1, (2024).
  9. Miao, Y., Suzuki, H., Sugano, H., Ueda, T., Iimura, Y., Matsui, R., and Tanaka, T., "Causal Connectivity Network Analysis of Ictal Electrocorticogram With Temporal Lobe Epilepsy Based on Dynamic Phase Transfer Entropy", IEEE Trans. Biomed. Eng. 71(2), 531–541, (2024).
  10. Li, S., Xu, X., Jiang, X., Shen, F., Sun, Z., and Cichocki, A., "Cross-Modal Attention Preservation with Self-Contrastive Learning for Composed Query-Based Image Retrieval", ACM Trans. Multimedia Comput. Commun. Appl., (2024).
  11. Li, S., Daly, I., Guan, C., Cichocki, A., and Jin, J., "Inter-participant transfer learning with attention based domain adversarial training for P300 detection", Neural Netw. 180, 106655, (2024).
  12. Li, D., Cheng, B., Shi, L., Xiang, S., and Zhao, Q., "An automated measurement method for the fatigue crack propagation based on decorrelated digital image correlation", Int. J. Fatigue 183, 108265, (2024).
  13. Jin, J., Xu, R., Daly, I., Zhao, X., Wang, X., and Cichocki, A., "MOCNN: A Multiscale Deep Convolutional Neural Network for ERP-Based Brain-Computer Interfaces", IEEE Trans. Cybern. 54(9), 5565–5576, (2024).
  14. Jin, J., Chen, W., Xu, R., Liang, W., Wu, X., He, X., Wang, X., and Cichocki, A., "Multiscale Spatial-Temporal Feature Fusion Neural Network for Motor Imagery Brain-Computer Interfaces", IEEE J. Biomed. Health Inform. PP(99), 1–12, (2024).
  15. He, X., Allison, B. Z., Qin, K., Liang, W., Wang, X., Cichocki, A., and Jin, J., "Leveraging Transfer Superposition Theory for Stable-State Visual Evoked Potential Cross-Subject Frequency Recognition", IEEE Trans. Biomed. Eng. 71(11), 3071–3084, (2024).
  16. Han, S., Sun, Z., Zhao, K., Duan, F., Caiafa, C. F., Zhang, Y., and Solé-Casals, J., "Early prediction of dementia using fMRI data with a graph convolutional network approach", J. Neural Eng. 21(1), 016013, (2024).
  17. Cao, W., Chen, X., Yan, S., Zhou, Z., and Cichocki, A., "1-Bit Tensor Completion via Max-and-Nuclear-Norm Composite Optimization", IEEE Trans. Signal Processing 72, 3487–3501, (2024).
  18. Bai, M., Zhou, D., and Zhao, Q., "TendiffPure: convolutional tensor-train denoising diffusion model for purification", Fronties of Information Technology and Electronic Engineering, (2024).
  19. Zhou, Z., Wan, Y., Cui, Q., Yu, K., Mumtaz, S., Yang, C., and Guizani, M., "Blockchain-Based Secure and Efficient Secret Image Sharing With Outsourcing Computation in Wireless Networks", IEEE Trans. Wireless Commun. 23(1), 423–435, (2023).
  20. Zhang, R., Sui, L., Gong, J., and Cao, J., "EEG-based real-time diagnostic system with developed dynamic 2TEMD and dynamic ApEn algorithms", Front. Physiol. 14, 1165450, (2023).
  21. Zhang, J., Yan, Q., Zhu, X., and Yu, K., "Smart industrial IoT empowered crowd sensing for safety monitoring in coal mine", Digital Communications and Networks 9(2), 296–305, (2023).
  22. Zeng, J., Zhou, G., Qiu, Y., Ma, Y., and Zhao, Q., "Hyperspectral and Multispectral Image Fusion via Bayesian Nonlocal CP Factorization", IEEE Geosci. Remote. S. 21, 1–5, (2023).
  23. Zeng, J., Zhou, G., Qiu, Y., Ma, Y., and Zhao, Q., "Hyperspectral and Multispectral Image Fusion via Bayesian Nonlocal CP Factorization", Hyperspectral and Multispectral Image Fusion via Bayesian Nonlocal CP Factorization, (2023).
  24. Yu, Y., Bezerianos, A., Cichocki, A., and Li, J., "Latent Space Coding Capsule Network for Mental Workload Classification", IEEE Trans. Neural Syst. Rehab. Eng. 31, 3417–3427, (2023).
  25. Ye, C., Li, C., Li, Y., Sun, Y., Yang, W., Bai, M., Zhu, X., Hu, J., Chi, T., Zhu, H., and He, L., "Differential evolution with alternation between steady monopoly and transient competition of mutation strategies", Swarm Evol. Comput. 83, 101403, (2023).
  26. Wu, R., Jin, J., Daly, I., Wang, X., and Cichocki, A., "Classification of Motor Imagery Based on Multi-Scale Feature Extraction and the Channel-Temporal Attention Module", IEEE Trans. Neural Syst. Rehab. Eng. 31, 3075–3085, (2023).
  27. Wang, J., Qu, A., Wang, Q., Zhao, Q., Liu, J., and Wu, Q., "TT-Net: Tensorized Transformer Network for 3D medical image segmentation", Comput. Med. Imaging Graph. 107, 102234, (2023).
  28. Wang, H., Peng, J., Cao, X., Wang, J., Zhao, Q., and Meng, D., "Hyperspectral Image Denoising via Nonlocal Spectral Sparse Subspace Representation", IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens. PP(99), 1–15, (2023).
  29. Wang, A., Zhou, G., Jin, Z., and Zhao, Q., "Noisy tensor completion via orientation invariant tubal nuclear norm", Pacific Journal of Optimization, (2023).
  30. Tang, J., Hou, M., Jin, X., Zhang, J., Zhao, Q., and Kong, W., "Tree-Based Mix-Order Polynomial Fusion Network for Multimodal Sentiment Analysis", Systems 11(1), 44, (2023).
  31. Takayama, H., and Yokota, T., "A New Model for Tensor Completion: Smooth Convolutional Tensor Factorization", IEEE Access 11, 67526–67539, (2023).
  32. Sun, H., Jin, J., Daly, I., Huang, Y., Zhao, X., Wang, X., and Cichocki, A., "Feature learning framework based on EEG graph self-attention networks for motor imagery BCI systems", J. Neurosci. Methods 399, 109969, (2023).
  33. Shi, L., Cheng, B., Li, D., Xiang, S., Liu, T., and Zhao, Q., "A CNN-based lamb wave processing model for field monitoring of fatigue cracks in orthotropic steel bridge decks", Structures 57, 105146, (2023).
  34. Shan, S., Ding, Z., Zhang, K., Wei, H., Li, C., and Zhao, Q., "ACGL-TR: A deep learning model for spatio-temporal short-term irradiance forecast", Energy Convers. Manage. 284, 116970, (2023).
  35. Qiu, H., Li, C., Weng, Y., Sun, Z., and Zhao, Q., "Fractional Tensor Recurrent Unit (fTRU): A Stable Forecasting Model With Long Memory", IEEE Trans. Neural Netw. Learn. Syst. PP(99), 1–10, (2023).
  36. Peng, Y., Wang, C., Hao, Y., Zhen, L., Chen, G., Kumar, N., and Yu, K., "High-Precision Surface Crack Detection for Rolling Steel Production Equipment in ICPS", IEEE Internet Things J. 11(3), 4586–4599, (2023).
  37. Müller-Putz, G. R., Collinger, J. L., and Kobler, R. J., "Editorial: Towards dependable brain computer/machine interfaces for movement control", Front. Hum. Neurosci. 17, 1186423, (2023).
  38. Liu, L., Tian, Y., Chakraborty, C., Feng, J., Pei, Q., Zhen, L., and Yu, K., "Multilevel Federated Learning-Based Intelligent Traffic Flow Forecasting for Transportation Network Management", IEEE Trans. Netw. Service Manag. 20(2), 1446–1458, (2023).
  39. Li, Y., Bai, M., Guan, Q., Ming, Z., Liang, X., Liu, G., and Gao, J., "CSD-RkNN: reverse k nearest neighbors queries with conic section discriminances", International Journal of Geographical Information Science 37(10), 2175–2204, (2023).
  40. Jin, X., Li, N., Kong, W., Zhao, Q., Tang, J., Zhu, L., and Cao, J., "Disentangled Adversarial Generalization Network for cross-session Task-independent Brainprint Recognition", IEEE Trans. Cogn. Develop. Syst. PP(99), 1–12, (2023).
  41. Huang, H., Zhou, G., Zheng, Y., Yang, Z., and Zhao, Q., "Exclusivity and consistency induced NMF for multi-view representation learning", Knowledge-Based Systems 281, 111020, (2023).
  42. Huang, H., Zhou, G., Zhao, Q., He, L., and Xie, S., "Comprehensive Multiview Representation Learning via Deep Autoencoder-Like Nonnegative Matrix Factorization", IEEE Trans. Neural Netw. Learn. Syst., (2023).
  43. Huang, H., Zhou, G., Liang, N., Zhao, Q., and Xie, S., "Diverse Deep Matrix Factorization with Hypergraph Regularization for Multi-View Data Representation", Ieee-caa Journal of Automatica Sinica 10(11), 2154–2167, (2023).
  44. He, P., Lan, C., Bashir, A. K., Wu, D., Wang, R., Kharel, R., and Yu, K., "Low-Latency Federated Learning via Dynamic Model Partitioning for Healthcare IoT", IEEE J. Biomed. Health Inform. 27(10), 4684–4695, (2023).
  45. Du, N., Zhou, C., Shen, H., Chakraborty, C., Yang, J., and Yu, K., "A Novel Power Allocation Algorithm for Minimizing Energy Consumption in D2D Communication Systems", IEEE Syst. J. 17(3), 4969–4977, (2023).
  46. Chen, J., Wang, W., Fang, B., Liu, Y., Yu, K., Leung, V. C., and Hu, X., "Digital Twin Empowered Wireless Healthcare Monitoring for Smart Home", IEEE J. Select. Areas Commun. 41(11), 3662–3676, (2023).
  47. Zheng, Y., Huang, T., Zhao, X., and Zhao, Q., "Tensor Completion via Fully-Connected Tensor Network Decomposition with Regularized Factors", J. Sci. Comput. 92(8), 1–35, (2022).
  48. Zheng, W., Zhao, X., Zheng, Y., and Pang, Z., "Nonlocal Patch-Based Fully Connected Tensor Network Decomposition for Multispectral Image Inpainting", IEEE Geosci. Remote. S. 19, (2022).
  49. Zhao, X., Yu, Y., Zhou, G., Zhao, Q., and Sun, W., "Fast hypergraph regularized nonnegative tensor ring decomposition based on low-rank approximation", Applied Intelligence, (2022).
  50. Zhang, D., Luo, Y., Yu, Y., Zhao, Q., and Zhou, G., "Semi-supervised multi-view clustering with dual hypergraph regularized partially shared non-negative matrix factorization", Science China Technological Sciences 65(6), 1349–1365, (2022).
  51. ZHAO, X., ZHAO, Q., Tanaka, T., Sole-Casals, J., Zhou, G., Mitsuhashi, T., Sugano, H., Yoshida, N., and Cao, J., "Classification of the Epileptic Seizure Onset Zone Based on Partial Annotation", Cognitive Neurodynamics, (2022).
  52. Yu, Y., Zhou, G., Zheng, N., Qiu, Y., Xie, S., and Zhao, Q., "Graph-Regularized Non-Negative Tensor-Ring Decomposition for Multiway Representation Learning", IEEE Trans. Cybern. PP(99), 1–14, (2022).
  53. Yu, Y., Zhou, G., Huang, H., Xie, S., and Zhao, Q., "A semi-supervised label-driven auto-weighted strategy for multi-view data classification.", Knowl. Based Syst. 255, 109694, (2022).
  54. Yokota, T., Hontani, H., Zhao, Q., and Cichocki, A., "Manifold Modeling in Embedded Space: An Interpretable Alternative to Deep Image Prior", IEEE Trans. Neural Netw. Learn. Syst. 33(3), 1022–1036, (2022).
  55. Yokota, T., Hontani, H., Zhao, Q., and Cichocki, A., "Manifold Modeling in Embedded Space - An Interpretable Alternative to Deep Image Prior.", IEEE Trans. Neural Networks Learn. Syst. 33(3), 1022–1036, (2022).
  56. Wang, A., Zhao, Q., Jin, Z., Li, C., and Zhou, G., "Robust tensor decomposition via orientation invariant tubal nuclear norms", SCIENCE CHINA Technological Sciences, (2022).
  57. Tang, J., Liu, D., Jin, X., Peng, Y., Zhao, Q., Ding, Y., and Kong, W., "BAFN: Bi-direction Attention based Fusion Network for Multimodal Sentiment Analysis", IEEE Trans. Circuits Syst. Video Technol. PP(99), 1–1, (2022).
  58. Takayama, H., Zhao, Q., Hontani, H., and Yokota, T., "Bayesian Tensor Completion and Decomposition with Automatic CP Rank Determination Using MGP Shrinkage Prior.", SN Comput. Sci. 3(3), 225, (2022).
  59. Takahashi, K., Sun, Z., Solé-Casals, J., Cichocki, A., Phan, A. H., Zhao, Q., Zhao, H., Deng, S., and Micheletto, R., "Data augmentation for Convolutional LSTM based brain computer interface system.", Appl. Soft Comput. 122, 108811, (2022).
  60. Qiu, Y., Zhou, G., Zhao, Q., and Xie, S., "Noisy Tensor Completion via Low-Rank Tensor Ring", IEEE Trans. Neural Netw. Learn. Syst. PP(99), 1–15, (2022).
  61. Qiu, Y., Zhou, G., Zeng, J., Zhao, Q., and Xie, S., "Imbalanced low-rank tensor completion via latent matrix factorization", Neural Netw. 155, 369–382, (2022).
  62. Qiu, Y., Zhou, G., Huang, Z., Zhao, Q., and Xie, S., "Efficient Tensor Robust PCA Under Hybrid Model of Tucker and Tensor Train.", IEEE Signal Process. Lett. 29, 627–631, (2022).
  63. Miao, Y., Zhao, X., Fu, X., Wang, J., and Zheng, Y., "Hyperspectral Denoising Using Unsupervised Disentangled Spatiospectral Deep Priors", IEEE Trans. Geosci. Remote Sensing 60, (2022).
  64. Luo, Y., Zhao, X., Jiang, T., Chang, Y., Ng, M. K., and Li, C., "Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery", IEEE Trans. Image Processing 31, 3793–3808, (2022).
  65. Luo, Y., Wang, A., Zhou, G., and Zhao, Q., "A Hybrid Norm for Guaranteed Tensor Recovery", Front. Phys. 10, (2022).
  66. Liu, S., Zhang, J., Wang, A., Wu, H., Zhao, Q., and Long, J., "Subject adaptation convolutional neural network for EEG-based motor imagery classification", J. Neural Eng. 19(6), 066003, (2022).
  67. Li, T., Zhou, G., Qiu, Y., and Zhao, Q., "Toward Understanding Convolutional Neural Networks from Volterra Convolution Perspective", J. Mach. Learn. Res., (2022).
  68. Huang, H., Zhou, G., Liang, N., Zhao, Q., and Xie, S., "Diverse deep matrix factorization with hypergraph regularization for multiview data representation", IEEE/CAA J. Autom. Sinica PP(99), 1–14, (2022).
  69. He, W., Yao, Q., Li, C., Yokoya, N., Zhao, Q., Zhang, H., and Zhang, L., "Non-Local Meets Global - An Iterative Paradigm for Hyperspectral Image Restoration.", IEEE Trans. Pattern Anal. Mach. Intell. 44(4), 2089–2107, (2022).
  70. He, W., Chen, Y., Yokoya, N., Li, C., and Zhao, Q., "Hyperspectral super-resolution via coupled tensor ring factorization.", Pattern Recognit. 122, 108280, (2022).
  71. Chen, X., Zhou, G., Wang, Y., Hou, M., Zhao, Q., and Xie, S., "Accommodating Multiple Tasks' Disparities With Distributed Knowledge-Sharing Mechanism.", IEEE Trans. Cybern. 52(4), 2440–2452, (2022).
  72. Yu, J., Zhou, G., Li, C., Zhao, Q., and Xie, S., "Low Tensor-Ring Rank Completion by Parallel Matrix Factorization.", IEEE Trans. Neural Networks Learn. Syst. 32(7), 3020–3033, (2021).
  73. Wang, A., Zhou, G., and Zhao , Q., "Guaranteed Robust Tensor Completion via ∗L-SVD with Applications to Remote Sensing Data", Remote Sensing 13(18), 3671–3671, (2021).
  74. Wang, A., Zhou, G., Jin, Z., and Zhao, Q., "Tensor Recovery via $*_L$-Spectral k-Support Norm", IEEE J. Sel. Topics Signal Process. 15(3), 522–534, (2021).
  75. Sui, L., Zhao, X., Zhao, Q., Tanaka, T., and Cao, J., "Hybrid Convolutional Neural Network for Localization of Epileptic Focus Based on iEEG", Neural Plast. 2021, (2021).
  76. Li, B., Zhang, Z., Duan, F., Yang, Z., Zhao, Q., Sun, Z., and Sole-Casals, J., "Component-mixing strategy: A decomposition-based data augmentation algorithm for motor imagery signals", Neurocomputing 465, 325–335, (2021).
  77. Chen, Z., Zhou, G., and Zhao, Q., "Hierarchical Factorization Strategy for High-Order Tensor and Application to Data Completion.", IEEE Signal Process. Lett. 28, 1255–1259, (2021).
国際会議 / Proceedings
  1. Wang, P., Shen, L., Tao, Z., He, S., and Tao, D., "Generalization Analysis of Stochastic Weight Averaging with General Sampling", Icml, (2024).
  2. Wang, A., QIU, Y., Bai, M., Jin, Z., Zhou, G., and Zhao, Q., "Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts", Thirty-eighth Conference on Neural Information Processing Systems, (2024).
  3. Tao, Z., Tanaka, T., and Zhao, Q., "Efficient Nonparametric Tensor Decomposition for Binary and Count Data", The Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24), (2024).
  4. Qiu, Y., Zhou, G., Wang, A., Huang, Z., and Zhao, Q., "Towards Multi-modes Outlier Robust Tensor Ring Decomposition", The 38th Annual AAAI Conference on Artificial Intelligence, (2024).
  5. Lin, G., Li, C., Zhang, J., Tanaka, T., and Zhao, Q., "Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization", The Twelfth International Conference on Learning Representations (ICLR 2024), (2024).
  6. Huang, H., Zhou, G., Zheng, Y., Qiu, Y., Wang, A., and Zhao, Q., "Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework", Icml, (2024).
  7. Bai, M., Huang, W., Li, T., Wang, A., Gao, J., Caiafa, C. F., and Zhao, Q., "Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance", Forty-first International Conference on Machine Learning 235, 2375–2391, (2024).
  8. Zhang, J., Yan, H., and Zhao, Q., "Memorization Weights for Instance Reweighting in Adversarial Training", the 37th Aaai Conference On Artificial Intelligence (aaai-2023), (2023).
  9. Wang, A., Li, C., Bai, M., Jin, Z., Zhou, G., and Zhao, Q., "Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks", Thirty-seventh Conference on Neural Information Processing Systems, (2023).
  10. Tao, Z., Tanaka, T., and Zhao, Q., "Undirected Probabilistic Model for Tensor Decomposition", The Thirty-seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023), (2023).
  11. Tao, Z., Tanaka, T., and Zhao, Q., "Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis", The 2023 International Conference on Neural Information Processing (ICONIP2023), (2023).
  12. Mo, S., Sun, Z., and Li, C., "Representation Disentanglement in Generative Models with Contrastive Learning", Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, (2023).
  13. Mo, S., Sun, Z., and Li, C., "Multi-level contrastive learning for self-supervised vision transformers", Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Visio, (2023).
  14. Lin, Z., Huang, H., Yu, Y., Zhou, G., and Zhao, Q., "Consistent Anchor Induced Multi-View Deep Matrix Factorization", 2023 42nd Chinese Control Conference (CCC) 00, 7633–7637, (2023).
  15. Li, C., Zeng, J., Li, C., Caiafa, C., and Zhao, Q., "Alternating local enumeration (TnALE): Solving tensor network structure search with fewer evaluations", Proceedings of the 40th International Conference on Machine Learning (ICML), (2023).
  16. Ju, Y., Gao, Z., Liu, L., Pei, Q., Yu, K., and Rodrigues, J. J., "Secure mmWave Vehicular Communications with DRL-Based Joint Relay and Jammer Selection", ICC 2023 - IEEE International Conference on Communications 00, 5221–5226, (2023).
  17. Ju, C., Kobler, R. J., and Guan, C., "Score-Based Data Generation for EEG Spatial Covariance Matrices: Towards Boosting BCI Performance", 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 00, 1–7, (2023).
  18. Zhao, X., Sole-Casals, J., Zhao, Q., Cao, J., and Tanaka, T., "Multi-feature Fusion for Epileptic Focus Localization Based on Tensor Representation", Proceeding of 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), (2022).
  19. ZHAO, X., Takata, S., Fukumori, K., and Tanaka, T., "Infant Posture Assessment Based on Rotational Keypoint Detection", Proceeding of 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), (2022).
  20. Yamamoto, R., Hontani, H., Imakura, A., and Yokota, T., "Fast Algorithm for Low-rank Tensor Completion in Delay-embedded Space", 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 00, 2048–2056, (2022).
  21. Yamamoto, R., Hontani, H., Imakura, A., and Yokota, T., "Consistent MDT-Tucker: A Hankel Structure Constrained Tucker Decomposition in Delay Embedded Space", 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 00, 137–142, (2022).
  22. Tang, J., Li, K., Hou, M., Jin, X., Kong, W., Ding, Y., and Zhao, Q., "MMT: Multi-way Multi-modal Transformer for Multimodal Learning", Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 3458–3465, (2022).
  23. Takayama, H., and Yokota, T., "Fast Signal Completion Algorithm with Cyclic Convolutional Smoothing", 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 00, 364–371, (2022).
  24. Mo, S., Sun, Z., and Li, C., "Rethinking Prototypical Contrastive Learning through Alignment, Uniformity and Correlation", The 33rd British Machine Vision Conference Proceedings, (2022).
  25. Li, Y., Sun, Z., and Li, C., "Are we pruning the correct channels in image-to-image translation models?", The 33rd British Machine Vision Conference Proceedings, (2022).
  26. Li, C., Zeng, J., Tao, Z., and Zhao, Q., "Permutation Search of Tensor Network Structures via Local Sampling.", Icml, 13106–13124, (2022).
  27. Konstantinidis, K., Xu, Y. L., Zhao, Q., and Mandic, D. P., "Variational Bayesian Tensor Networks with Structured Posteriors", ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 00, 3638–3642, (2022).
  28. Kobler, R., Hirayama, J., Zhao, Q., and Kawanabe, M., "Spd domain-specific batch normalization to crack interpretable unsupervised domain adaptation in eeg", 36th Conference on Neural Information Processing Systems (NeurIPS 2022), (2022).
  29. Huang, H., Luo, Y., Zhou, G., and Zhao, Q., "Multi-View Data Representation Via Deep Autoencoder-Like Nonnegative Matrix Factorization", ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 00, 3338–3342, (2022).
  30. Bai, M., Chen, J., Zhao, Q., Li, C., Zhang, J., and Gao, J., "Tensor Neural Controlled Differential Equations", 2022 International Joint Conference on Neural Networks (IJCNN) 00, 1–9, (2022).
  31. Zhang, J., Tao, Z., Zhang, L., and Zhao, Q., "Tensor Decomposition Via Core Tensor Networks.", Icassp, 2130–2134, (2021).
  32. Tao, Z., Zhao, X., Tanaka, T., and Zhao, Q., "Bayesian Latent Factor Model for Higher-order Data", Proceedings of The 13th Asian Conference on Machine Learning 157, 1285–1300, (2021).
  33. Tang, J., Li, K., Jin, X., Cichocki, A., Zhao, Q., and Kong, W., "CTFN - Hierarchical Learning for Multimodal Sentiment Analysis Using Coupled-Translation Fusion Network.", Acl/ijcnlp, 5301–5311, (2021).
  34. Qiu, H., Li, C., Weng, Y., Sun, Z., He, X., and Zhao, Q., "On the Memory Mechanism of Tensor-Power Recurrent Models.", Aistats, 3682–3690, (2021).
  35. Huang, Z., Li, C., Duan, F., and Zhao, Q., "Multi-distorted Image Restoration with Tensor 1 × 1 Convolutional Layer.", Ijcnn, 1–8, (2021).
  36. Caiafa, C. F., Wang, Z., Solé-Casals, J., and Zhao, Q., "Learning From Incomplete Features by Simultaneous Training of Neural Networks and Sparse Coding.", CVPR Workshops, 2621–2630, (2021).
  37. Bai, M., Zhao, Q., and Gao, J., "Tensorial Time Series Prediction via Tensor Neural Ordinary Differential Equations.", Ijcnn, 1–8, (2021).
エディトリアル / Editorial
  1. Zhou, T., Zhang, Y., Thung, K., Adeli, E., Rekik, I., Zhao, Q., and Zhang, C., "Multi-view representation learning and understanding", Multimedia Tools and Applications 80(15), 22865–22865, (2021).
  2. Zhao, Q., Zhou, G., Zhang, Y., Caiafa, C. F., and Cao, J., "Special Topic: Tensor Methods in Machine Learning Preface", Science China-technological Sciences, (2021).