研究業績

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2024年度

学術雑誌掲載論文

  • Jinsha Liu, Boning Li, Takaharu Yamazaki, and Jianting Cao: “Developing an SSVEP-Based BCI System for Multi-Objective Control via IoT Integration. ” IEEE Access, DOI: 10.1109/ACCESS.2024.3472909 .

  • Boning Li, Jinsha Liu, Tao Zhang, Yang Cao and Jianting Cao: “Quantitative analysis and machine learning-based interpretation of EEG signals in coma and brain-death diagnosis. ” Cognitive Neurodynamics, 2024: 1-16, DOI: 10.1007/s11571-024-10131-y, 2024.

  • Ran Zhang, Linfeng Sui,Chengyuan Shen, and Jianting Cao: “A multidimensional EEG feature extraction attention detection for BCI System. ” International Journal of Computers & Technology, DOI: 10.24297/ijct.v24i.9638, Jun. 2024

  • Chengyuan Shen, Yasue Mitsukura, and Jianting Cao: “A Novel Complexity Algorithm for Quantification of Consciousness Levels. ” IEEE Access, DOI: 10.1109/ACCESS.2024.3445467 .

  • Zizhu Li, Chengyuan Shen and Jianting Cao: “Positive-Unlabeled Learning Method for Positive Emotion Recognition Using EEG technology. ” INTERNATIONAL JOURNAL OF COMPUTERS, 24, 84–92. DOI: 10.24297/ijct.v24i.9650, Aug. 2024.

  • Jingming Gong, Linfeng Sui, Ran Zhang, Boning Li, Chengyuan Shen, ,Taiyo Maeda, and Jianting Cao: “Unveiling Neurophysiological Markers of Consciousness Levels through EEG Exploration. ” International Journal of Computers & Technology, DOI: 10.24297/ijct.v24i.9627, Jun. 2024.

  • Mo Xia, Xuyang Zhao, Rui Deng, Zheng Lu and Jianting Cao: “EEGNet Classification of Sleep EEG for Individual Specialization Based on Data Augmentation. ” Cognitive Neurodynamics, DOI: 10.1007/s11571-023-10062-0, Feb. 2024.

  • Ruixuan Chen, Linfeng Sui, Mo Xia, Jinsha Liu, Tao Zhang and Jianting Cao: “Convolutional Neural Networks for Deep Sleep Detection Based on Data Augmentation. ” International Journal of Computers & Technology, DOI: 10.24297/ijct.v24i.9567, Jan. 2024.

会議論文

  • Ruixuan Chen, Linfeng Sui, Mo Xia and Jianting Cao: “Deep Sleep Recognition Based on CNNs and Data Augmentation.” Maglogiannis, I., Iliadis, L., Macintyre, J., Avlonitis, M., Papaleonidas, A. (eds) Artificial Intelligence Applications and Innovations (AIAI 2024) , IFIP Advances in Information and Communication Technology, vol 714. Springer, Cham. DOI: 10.1007/978-3-031-63223-5_1 .

  • Hongxi Xue, Mo Xia, Deng Rui and Jianting Cao: “EEGNet Classification of Two Channels Sleep EEG for Individual Specialization Based on Data Augmentation.” 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning (CACML 2024) , Pages 288 - 292. DOI: 10.1145/3654823.3654876.

2023年度

学術雑誌掲載論文

  • Xuanyu Jin, Ni Li, Wanzeng Kong, Qibin Zhao, Jiajia Tang, Li Zhu and Jianting Cao: “Disentangled Adversarial Generalization Network for cross-session Task-independent Brainprint Recognition. ” IEEE Transactions on Cognitive and Developmental Systems, DOI: 10.1109/TCDS.2023.3343469, Nov. 2023.

  • Li Zhu, Youyang Liu, Riheng Liu, Yong Peng, Jianting Cao, Junhua Li and Wanzeng Kong: “Decoding Multi-Brain Motor Imagery from EEG Using Coupling Feature Extraction and Few-Shot Learning. ” IEEE Transactions on Neural Systems & Rehabilitation Engineering, DOI: 10.1109/TNSRE.2023.3336356. Dec. 2023.

  • Dongjun Liu, Weichen Dai, Hangkui Zhang, Xuanyu Jin, Jianting Cao and Wanzeng Kong: “Brain-Machine Coupled Learning Method for Facial Emotion Recognition. ” IEEE Transactions on Pattern Analysis and Machine Intelligence, DOI: 10.1109/TPAMI.2023.3257846, March 2023.

  • Ruixuan Chen, Linfeng Sui, Mo Xia and Jianting Cao: “iEEG Signal Data Augmentation in Convolutional Neural Networks for Epileptic Focus Localization. ” International Journal of Computers & Technology, DOI: 10.24297/ijct.v23i.9482, July 2023.

  • Xusheng Li, Dongying Ju, Jianting Cao and Kousuke Ishikawa: “Analysis of the Distortion of the Bearing Rings after Quenching. ” Coatings 2023, 13, 1190, DOI: 10.3390/ coatings13071190.

  • Jingming Gong, Linfeng Sui,Ran Zhang, Boning Li, Chengyuan Shen and Jianting Cao: “Real-time EEG-based System for Assessing Consciousness Levels. ” International Journal of Computers & Technology, DOI: doi.org/10.24297/ijct.v23i.9541, Nov. 2023.

  • Jinsha Liu, Boning Li and Jianting Cao: “Development and Evaluation of a SSVEP-Based BCI System for Dialing Phone Numbers. ” International Journal of Computers & Technology, DOI: doi.org/10.24297/ijct.v23i.9539, Nov. 2023.

  • Boning Li and Jianting Cao: “Research on a P300-based Brain-Computer Interface System for Robot Movement Control.” International Journal of Computers & Technology, DOI: doi.org/10.24297/ijct.v23i.9538, Nov. 2023.

  • Zizhu Li, Boning Li, Wenping Luo and Jianting Cao: “Simple Black-box adversarial attacks by Tensor Singular Value Decomposition. ” International Journal of Computers & Technology, DOI: 10.24297/ijct.v23i.9485, August 2023.

  • Honghao Jia，Dongying Ju and Jianting Cao: “Machine learning based optimization method for vacuum carburizing process and its application. ” Journal of Materials Informatics, DOI: 10.20517/jmi.2022.43, Apr 2023.

  • Ran Zhang, Linfeng Sui, Jinming Gong and Jianting Cao: “EEG-based real-time diagnostic system with developed dynamic 2TEMD and dynamic ApEn algorithms. ” Frontiers in Physiology, DOI: 10.3389/fphys.2023.1165450, May 2023.

  • Boning Li and Jianting Cao: “Classification of coma/brain-death EEG dataset based on one-dimensional convolutional neural network. ” Cognitive Neurodynamics, DOI: 10.1007/s11571-023-09942-2, March 2023.

会議論文

  • Ran Zhang, Linfeng Sui, Jinming Gong and Jianting Cao: “Brain Death Determination Aid System Using Automatic D-2TEMD.” 2023 5th International Conference on Data-driven Optimization of Complex Systems (DOCS), Tianjin, China, 2023, pp.1-6 DOI: 10.1109/DOCS60977, Oct. 2023.

  • Xusheng Li, Dongying Ju, Jianting Cao and Kousuke Ishikawa: “Effect of non-uniform cooling on distortion and ellipticity in bearing quenching.” The 28th International Federation for Heat Treatment and Surface Engineering 2023, (In press).

  • Mo Xia, Hongxi Xue and Jianting Cao: “Classification of Sleep EEG Signals for Individual Specialization by 1D Deep Convolutional Network and Data Augmentation.” The 13th International Conference on Information Science and Technology (ICIST 2023).

会議論文 (査読無)

  • Ruixun Chen, Linfeng sui, Mo Xia and Jianting Cao: “CNN Recognition of Epileptic Foci Based on EEG Signal Data Augmentation Processing.” 埼玉工業大学, 第21回 若手研究フォーラム, ISSN:1880-392X, pp. 94-95, August 2023.

  • Xusheng Li, Jianting Cao and Dongying Ju: “Research on the Quenching Distortion Mechanism of Bearing Sleeves and Thermal Physical Parameters of GCr15 Material.” 埼玉工業大学, 第21回 若手研究フォーラム, ISSN:1880-392X, pp. 90-91, August 2023.

  • Jinsha Liu, Boning Li and Jianting Cao: “SSVEPに基づいた高精度携帯掛けるBCIシステムの実現。” 埼玉工業大学, 第21回 若手研究フォーラム, ISSN:1880-392X, pp. 62-63, August 2023.

  • Zizhu Li and Jianting Cao: “開発した無線 DA コンバータを用いた P300 脳制御システム車椅子の設計と実装。” 埼玉工業大学, 第21回 若手研究フォーラム, ISSN:1880-392X, pp. 60-61, August 2023.

  • Jingming Gong and Jianting Cao: “携帯型EEGデバイスを用いたリアルタイムシステムの開発。” 埼玉工業大学, 第21回 若手研究フォーラム, ISSN: 1880-392X, pp. 56-57, August 2023.

  • Ran Zhang and Jianting Cao: “Real-time Diagnostic System with Developed Dynamic 2TEMD and Dynamic ApEn Algorithms.”埼玉工業大学, 第21回 若手研究フォーラム, ISSN: 1880-392X, pp. 58-59, August 2023.

  • Hongxi Xue, Mo Xia and Jianting Cao: “EEGNet Classification of Sleep EEG for Individual Specialization Based on Data Augmentation.” 埼玉工業大学, 第21回 若手研究フォーラム, ISSN:1880-392X, pp. 96-97, August 2023.

  • Xin Ma, Jinsha Liu and Jianting Cao: “SSVEP視覚刺激装置の設計。” 埼玉工業大学, 第21回 若手研究フォーラム, ISSN: 1880-392X, pp. 64-65, August 2023.

  • Chengyuan Shen, Boning Li and Jianting Cao: “TT-EMDに基づいた脳死患者EEG信号の解析に関する研究。” 埼玉工業大学, 第21回 若手研究フォーラム, ISSN: 1880-392X, pp. 88-89, August 2023.

  • He Liu , Boning Li and Jianting Cao: “フェイスーハウスパラダイム用いたN170成分の分類関する研究。” 埼玉工業大学, 第21回 若手研究フォーラム, ISSN: 1880-392X, pp. 98-99, August 2023.

2022年度

学術雑誌掲載論文

  • Qipeng Chen and Jianting Cao: “Simple Black-box adversarial attacks by Tensor Singular Value Decomposition.” International Journal of Latest Trends in Engineering and Technology,20(4): 1-12, 2022.

  • Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka, Jordi Solé-Casals, Guoxu Zhou, Takumi Mitsuhashi, Hidenori Sugano, Noboru Yoshida, Jianting Cao: “Classification of the Epileptic Seizure Onset Zone Based on Partial Annotation.” Cogn Neurodyn,(2022)

会議論文 (査読無)

  • Zizhu Li and Jianting Cao: “車椅子制御ための無線DA変換器の設計。” 埼玉工業大学, 第20回 若手研究フォーラム, ISSN: 1880-392X, pp. 60-61, August 2022.

  • Jingming Gong and Jianting Cao: “脳死判定のためのリアルタイム脳波診断システムに関する研究。” 埼玉工業大学, 第20回 若手研究フォーラム, ISSN: 1880-392X, pp. 62-63, August 2022.

  • Ke Tang, Xuyang Zhao and Jianting Cao: “てんかん発作検出ソフトウェアに関する研究。” 埼玉工業大学, 第20回 若手研究フォーラム, ISSN: 1880-392X, pp. 64-65, August 2022.

  • Ruixuan Chen, Xuyang Zhao and Jianting Cao: “てんかん焦点の推定ためのソフトウェアの設計。” 埼玉工業大学, 第20回 若手研究フォーラム, ISSN: 1880-392X, pp. 66-67, August 2022.

  • Pengju Zhang and Jianting Cao: “Enhanced effect of CBAM on CT image detection.” 埼玉工業大学, 第20回 若手研究フォーラム, ISSN: 1880-392X, pp. 68-69, August 2022.

  • Rui Deng and Jianting Cao: “Automatic recognition of deep sleep stages using one-dimensional convolutional neural network.”埼玉工業大学, 第20回 若手研究フォーラム, ISSN: 1880-392X, pp. 118-119, August 2022.

  • Jinsha Liu and Jianting Cao: “SSVEPに基づいたオンライン携帯掛けるBCIシステムの構築。” 埼玉工業大学, 第20回 若手研究フォーラム, ISSN: 1880-392X, pp. 120-121, August 2022.

  • Hengbin Jin and Jianting Cao: “NAOロボットのエンターテイメント機能の開発。” 埼玉工業大学, 第20回 若手研究フォーラム, ISSN: 1880-392X, pp. 122-123, August 2022.

2021年度

学術雑誌掲載論文

  • Wenping Luo, Jianting Cao, Dongying Ju, and Kousuke Ishikawa: “Experimental validation of intelligent recognition of eye movements in the application of autonomous vehicle driving.” International Journal of Biomedical Soft Computing and Human Sciences (IJBSCHS), Vol.26, No.2, pp.63-72, 2021.

  • Xusheng Li, Dongying Ju, Jianting Cao, Sirui Wang, Yong Chen, Fangbo He and Hui Li: “Effect of Transformation Plasticity on Gear Distortion and Residual Stresses in Carburizing Quenching Simulation.” Coatings，Vol. 11, No.10, pp.1224-1236, 2021.

  • Wenping Luo, Jianting Cao, Kousuke Ishikawa and Dongying Ju: “A Human-Computer Control System Based on Intelligent Recognition of Eye Movements and Its Application in Wheelchair Driving.” Multimodal Technol. Interact. 2021, 5(9), 50-64.

  • Mo Xia , Linfeng Sui, Xuyang Zhao, Toshihisa Tanaka, Jianting Cao: “Convolution Neural Network Recognition of Epileptic Foci Based on Composite Signal Processing of Electroencephalograph Data.” Procedia Computer Science, Vol. 192, pp. 688-696, 2021.

  • Qipeng Chen and Jianting Cao: “Low Tensor-Train Rank with Total Variation for Maginetic Resonance Imaging Reconstruction.” Science in China E: Technological Sciences, 64(9), pp. 1854-1862 (2021).

  • Linfeng Sui, Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka and Jianting Cao: “Hybrid Convolutional Neural Network for Localization of Epileptic Focus Based on iEEG.” Neural Plasticity, vol. 2021, Article ID 6644365, 9 pages, 2021.

  • Li Zhu, Changle Zhou, Fabien Lotte, Junhua Li, Jianting Cao and Andrzej Cichocki: “Power spectrum and connectivity analysis for detecting human brain death.” Biomedical Signal Processing and Control, (In press).

会議論文

  • Xuyang Zhao, Jordi Sole-Casals, Qibin Zhao, Jianting Cao and Toshihisa Tanaka: “Multi-feature Fusion for Epileptic Focus Localization Based on Tensor Representation.” 13th Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2021.

会議論文 (査読無)

  • Rui Deng, Boning Li and Jianting Cao: “機械学習に基づく睡眠段階の分類に関する研究。” 埼玉工業大学, 第19回 若手研究フォーラム, ISSN: 1880-392X, pp. 144-145, August 2021.

  • Pengju Zhang and Jianting Cao: “DenseNetに基づいたCOVID-19 CT画像の自動識別。” 埼玉工業大学, 第19回 若手研究フォーラム, ISSN: 1880-392X, pp. 178-179, August 2021.

  • Mo Xia and Jianting Cao: “脳波の複合信号処理と畳み込みニューラルネットワークに基づいた癲癇焦点チャンネル信号分類。” 埼玉工業大学, 第19回 若手研究フォーラム, ISSN: 1880-392X, pp. 112-113, August 2021.

  • Honghao Jia,Jianting Cao and Dong-Ying Ju: “バックプロパゲーションアルゴリズムに基づく真空浸炭プロセス予測の最適化。” 埼玉工業大学, 第19回 若手研究フォーラム, ISSN: 1880-392X, pp. 116-117, August 2021.

  • Yihong Wu, Boning Li and Jianting Cao: “実時間ロボット制御ための脳・コンピュータインタフェースシステム。” 埼玉工業大学, 第19回 若手研究フォーラム, ISSN: 1880-392X, pp. 110-111, August 2021.

  • Rong Su and Jianting Cao: “ロバスト主成分分析に基づく画像復元のための新しいアルゴリズム。” 埼玉工業大学, 第19回 若手研究フォーラム, ISSN: 1880-392X, pp. 108-109, August 2021.

  • Yingbo Xu and Jianting Cao: “ノンローカルネットワークを用いた手まねの画像分類。” 埼玉工業大学, 第19回 若手研究フォーラム, ISSN: 1880-392X, pp. 114-115, August 2021.

2020年度

学術雑誌掲載論文

  • Haijian Wang, Haiwei Wang, Takashi Kumazawa, Dongying Ju, and Jianting Cao: “Effect of casting speed on microstructure, corrosion behaviour and in vivo bone reaction of Mg-rare earth alloys.” SCIENCE CHINA Technological SciencesSCTS-2020-0689, June 2020, (In press).

  • Xuanyu Jin, Jiajia Tang, Xianghao Kong, Yong Peng, Jianting Cao, Qibin Zhao, Wanzeng Kong: “CTNN: A Convolutional Tensor-Train Neural Network For Multi-task Brainprint Recognition.” IEEE Transactions on Neural Systems and Rehabilitation Engineering: a Publication of the IEEE Engineering in Medicine and Biology Society, 2020.

会議論文

  • Xuyang Zhao, Jordi Solé-Casals, Binghua Li, Zihao Huang, Andong Wang, Jianting Cao, Toshihisa Tanaka and Qibin Zhao: “Classification of Epileptic iEEG signals by CNN and Data Augmentation.” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020.

  • Xuyang Zhao, Linfeng Sui, Toshihisa Tanaka, Jianting Cao and Qibin Zhao: “Epileptic Focus Localization Based on iEEG Plot Images by Using Convolutional Neural Network.” EPiC Series in Computing, 2020, 70:173-181.

会議論文 (査読無)

  • Honghao Jia and Jianting Cao: “LDAトピックモデルと畳み込みニューラルネットワークに基づくトピックローラ。” 埼玉工業大学, 第18回 若手研究フォーラム, ISSN: 1880-392X, pp. 156-157,August 2020.

  • Rong Su and Jianting Cao: “独立成分解析による信号分離。” 埼玉工業大学, 第18回 若手研究フォーラム, ISSN: 1880-392X, pp. 152-154, August 2020.

  • Yihong Wu and Jianting Cao: “深層学習に基づく表情認識システム。” 埼玉工業大学, 第18回 若手研究フォーラム, ISSN: 1880-392X, pp. 148-149, August 2020.

  • Mo Xia, Linfeng Sui, Xuyang Zhao and Jianting Cao: “畳み込みニューラルネットワークを用いた連続ウェーブレット変換処理のてんかん脳波の分類。” 埼玉工業大学, 第18回 若手研究フォーラム, ISSN: 1880-392X, pp. 146-147, August 2020.

  • Linfeng Sui, Xuyang Zhao and Jianting Cao: “脳波に基づいて混合畳み込みニューラルネットワークを用いた癲癇焦点推定。” 埼玉工業大学, 第18回 若手研究フォーラム, ISSN: 1880-392X, pp.80-81, August 2020.

  • Haonan Du and Jianting Cao: “経験的モード分解に基づく患者の脳波エネルギー解析。” 埼玉工業大学, 第18回 若手研究フォーラム, ISSN: 1880-392X, pp.78-79, August 2020.

  • Boning Li and Jianting Cao: “機械学習に基づいた話し中の脳波の識別に関する研究。” 埼玉工業大学, 第18回 若手研究フォーラム, ISSN: 1880-392X, pp.76-77, August 2020.

2019年度

学術雑誌掲載論文

  • Li Zhu, Gaochao Cui, Jianting Cao, Andrzej Cichocki, Jianhai Zhang, Changle Zhou: “A hybrid system for distinction of brain death and coma using diverse EEG features.” Sensors, 2019, 19(6):1342.

  • Cui Gaochao, Zhu Li, Gui Lihua, Zhao Qibin, Zhang Jianhai, Cao Jianting: “Multidimensional clinical data denosing via Bayesian CP factorization.” Science China (Technological Sciences), 2019, 62.

  • Li Zhu, Changle Zhou, Fabien Lotte, Junhua Li, Jianting Cao and Andrzej Cichocki: “Power spectrum and connectivity analysis for detecting human brain death.” Biomedical Signal Processing and Control, (Under review).

  • Linfeng Sui, Xuyang Zhao, Jianting Cao and Qibin Zhao: “Localization of Epileptic Foci from iEEG via Mixed Convolutional Neural Network,”, International Journal of Latest Trends in Engineering and Technology (IJLTET), Vol. 14, pp. 008-013, 2019.

  • Xuyang Zhao, Lihua Gui, Jianting Cao and Qibin Zhao: “Epileptic Focus Localization Based on Entropy and Convolutional Neural Network,” International Journal of Latest Trends in Engineering and Technology (IJLTET), Vol. 14, pp. 014-017, 2019.

  • Longhao Yuan, Chao Li, Jianting Cao and Qibin Zhao: “Rank Minimization on Tensor Ring: An Efficient Approach for Tensor Decomposition and Completion,”, Machine Learning, ISSN 0885-6125, Vol.108, pp.1-20, 2019.

  • Longhao Yuan, Jianting Cao and Qibin Zhao: “Tensor Ring Decomposition for Visual Data Denoising via Tensor Random Projection,” International Journal of Latest Trends in Engineering and Technology (IJLTET), Vol. 13, Issu 2, 2019.

会議論文

  • Boning Li, Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka, and Jianting Cao: “A One-Dimensional Convolutional Neural Network Model for Automated Localization of Epileptic Foci,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), Lanzhou, China, pp. 741-744, November 2019.

  • Yao Miao, Toshihisa Tanaka, Shintaro Ito, and Jianting Cao: “Seizure Detection of Epileptic EEG Based on Multiple Phase-Amplitude Coupling Methods,” The 7th International Congress on Cognitive Neurodynamics (ICCN), September 2019, Alghero, Italy. (In press)

  • Linfeng Sui, Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka and Jianting Cao: “Localization of Epileptic Foci by Using Convolutional Neural Network Based on iEEG,” IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI2019), May 2019, Crete, Greece, pp. 331-339.

  • Qipeng Chen, Longhao Yuan, Yao Miao, Qibin Zhao, Toshihisa Tanaka and Jianting Cao: “Quasi-Brain-Death EEG Diagnosis Based on Tensor Train Decomposition”, International Symposium on Neural Networks (ISSN2019), July 2019, Moscow, Russia, pp. 501-511.

  • Longhao Yuan, Chao Li, Jianting Cao, Qibin Zhao: “Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction,” 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2019, Brighton, UK.

  • Longhao Yuan, Chao Li, Danilo Mandic, Jianting Cao and Qibin Zhao: “Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion,” Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-2019), Vol. 33, pp. 9151-9158, January 2019, Hawaii.

2018年度

学術雑誌掲載論文

  • Longhao Yuan, Jianting Cao, Lihua Gui, Qibin Zhao: “High-dimension Tensor Completion via Gradient-based Optimization Under Tensor-train Format,” Signal Processing: Image Commsunication:Special Issue on Tensor Image Processing, Springer, vol. 73, pp. 53-61, 2018.

  • Lihua Gui, Xuyang Zhao, Qibin Zhao and Jianting Cao: “Non-local Image Denoising by Using Bayesian Low-rank Tensor Factorization on High-order Patches,” International Journal of Computer Science Issues, Vol. 15, No.5, 2018.

  • Lihua Gui, Xuyang Zhao, Qibin Zhao and Jianting Cao: “Image and Video Completion by Using Bayesian Tensor Decomposition,” International Journal of Computer Science Issues, Vol. 15, No.5, 2018.

  • Yao Miao and Jianting Cao: “Descriptive Statistical Analysis Based on Patients’ EEG Energy in Coma and Quasi-brain-death State,” International Journal of Computers & Technology, ISSN 2277-3061,Vol.17, No.1, pp.7140-7145, March 2018.

会議論文

  • Longhao Yuan, Qibin Zhao, Jianting Cao: “High-Order Tensor Completion for Data Recovery via Sparse Tensor-Train Optimization,” 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 2018, Calgary, Canada, pp. 1258-1262.

  • Jianhai Zhang, Na Zhang, Jianting Cao, Yao Miao, Li Zhu, Wanzeng Kong: “Analysis of Deep Coma and Brain Death Based on Phase Synchronization with EEG,” the 14th IEEE International Conference on Signal Processing (ICSP), August 2018, Beijing, China.

  • Yao Miao, Jianting Cao: “Patients’ EEG Analysis Based on Multi-indicator Dynamic Analysis Measure for Supporting Brain Death Determination,” International Symposium on Neural Networks, Lecture Notes in Computer Science, Springer, Cham, Vol. 10878, pp. 824-833, 2018.

  • Xingwei Cao, Xuyang Zhao and Qibin Zhao: "Tensorizing Generative Adversarial Nets," International Conference on Consumer Electronics Asia(ICCE-Asia), Jeju, Korea, 2018.

  • Xuyang Zhao, Gaochao Cui, Longhao Yuan and Jianting Cao: “A Hybrid Brain Computer Interface Based on Audiovisual Stimuli P300,” International Conference on Consumer Electronics Asia (ICCE-Asia), Jeju, Korea, 2018.

  • Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka, Jianting Cao, Wanzeng Kong, Hidenori Sugano and Noboru Yoshida: "Detection of Epileptic Foci Based on Interictal iEEG by Using Convolutional Neural Network," The 23rd International Conference on Digital Signal Processing (DSP), Shanghai, China, 2018.

  • Longhao Yuan, Jianting Cao, Xuyang Zhao, Qiang Wu, Qibin Zhao: “Higher-dimension Tensor Completion via Low-rank Tensor Ring Decomposition,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), November 2018, Hawaii, USA.

  • Xuyang Zhao, Toshihisa Tanaka, Wanzeng Kong, Qibin Zhao, Jianting Cao, Hidenori Sugano and Yoshida, Noboru: “Epileptic Focus Localization Based on iEEG by Using Positive Unlabeled (PU) Learning,” Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), November 2018, Hawaii, USA.

2017年度

学術雑誌掲載論文

  • Yao Miao, Dongsheng Wang, Gaochao Cui, Li Zhu and Jianting Cao: “Analyzing patients’ EEG energy for brain death determination based on Dynamic 2T-EMD,” International Journal of Computers & Technology, ISSN 2277-3061,Vol.16, No.1,pp. 7573-7580, March 2017.

会議論文

  • Gaochao Cui, Li Zhu, Qibin Zhao, Jianting Cao and Andrzej Cichocki: “A graph theory analysis on distinguishing EEG-based brain death and coma,” the 24th International Conference on Neural Information Processing, Lecture Notes in Computer Science, Springer, Vol.10637, pp. 589-595, Guangzhou, China,Nov. 2017.

  • Longhao Yuan, Qibin Zhao and Jianting Cao: “Completion of High Order Tensor Data with Missing Entries via Tensor-train Decomposition,” the 24th International Conference on Neural Information Processing, Lecture Notes in Computer Science, Springer, pp. 222-229, Guangzhou, China,November 2017.

  • L. Gui, Q. Zhao, and J. Cao: “Brain Image completion by bayesian tensor decomposition,” International Conference on Digital Signal Processing, London, England, August, 2017.

  • Qingyao Ni, Jianting Cao: “A Real-time Mobile Phone Dialing System using OpenBCI Device,” The 8th International IEEE EMBS Conference On Neural Engineering,Shanghai, China, May 2017.

  • Longhao Yuan and Jianting Cao: “Patients’ EEG Data Analysis via Spectrogram Image with a Convolution Neural Network,” International Conference on Intelligent Decision Technologies, Springer, Cham, pp. 13-21, Vilamoura, Portugal,May 2017.

  • Yao Miao and Jianting Cao: “Comparison of EMD, MEMD and 2T-EMD by analyzing standard artificial signals and EEG,” 2017 International Joint Conference on Neural Networks, IEEE press, pp. 1367-1371, Anchorage, AK, USA,May 2017.