Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDToshiaki Koike-Akino
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j30]Xi Yu
, Niklas Smedemark-Margulies, Shuchin Aeron, Toshiaki Koike-Akino, Pierre Moulin, Matthew Brand, Kieran Parsons, Ye Wang:
Improving adversarial robustness by learning shared information. Pattern Recognit. 134: 109054 (2023)- 2022
- [j29]Jianyuan Yu, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, R. Michael Buehrer:
Multi-Band Wi-Fi Sensing With Matched Feature Granularity. IEEE Internet Things J. 9(23): 23810-23825 (2022) - [j28]Takuya Fujihashi, Toshiaki Koike-Akino, Takashi Watanabe, Philip V. Orlik:
HoloCast+: Hybrid Digital-Analog Transmission for Graceful Point Cloud Delivery With Graph Fourier Transform. IEEE Trans. Multim. 24: 2179-2191 (2022) - [c137]Toshiaki Koike-Akino, Ye Wang:
quEEGNet: Quantum AI for Biosignal Processing. BHI 2022: 1-4 - [c136]Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals. EMBC 2022: 30-35 - [c135]Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data. EMBC 2022: 3159-3165 - [c134]Jianyuan Yu, Pu Wang, Toshiaki Koike-Akino, Philip V. Orlik:
Multi-Modal Recurrent Fusion for Indoor Localization. ICASSP 2022: 5083-5087 - [c133]Toshiaki Koike-Akino, Pu Wang, Ye Wang:
Quantum Transfer Learning for Wi-Fi Sensing. ICC 2022: 654-659 - [c132]Bryan Liu, Toshiaki Koike-Akino, Ye Wang, Kieran Parsons:
Variational Quantum Compressed Sensing for Joint User and Channel State Acquisition in Grant-Free Device Access Systems. ICC 2022: 1775-1780 - [c131]Soushi Ueno, Takuya Fujihashi, Toshiaki Koike-Akino, Takashi Watanabe:
Overhead Reduction for Graph-Based Point Cloud Delivery Using Non-Uniform Quantization. ICCE 2022: 1-6 - [c130]J. Rapp, Hassan Mansour, Petros Boufounos, Philip V. Orlik, Toshiaki Koike-Akino, Kieran Parsons:
Maximum Likelihood Surface Profilometry Via Optical coherence Tomography. ICIP 2022: 1561-1565 - [c129]Toshiaki Koike-Akino, Pu Wang, Ye Wang:
AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications. SAM 2022: 360-364 - [c128]Haifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, Zhengming Ding:
Adversarial Bi-Regressor Network for Domain Adaptive Regression. IJCAI 2022: 3608-3614 - [c127]Toshiaki Koike-Akino, Ye Wang:
AutoVAE: Mismatched Variational Autoencoder with Irregular Posterior-Prior Pairing. ISIT 2022: 1689-1694 - [i36]Takuya Fujihashi, Toshiaki Koike-Akino, Takashi Watanabe:
Federated AirNet: Hybrid Digital-Analog Neural Network Transmission for Federated Learning. CoRR abs/2201.04557 (2022) - [i35]Jianyuan Yu, Pu Wang, Toshiaki Koike-Akino, Philip V. Orlik:
Multi-Modal Recurrent Fusion for Indoor Localization. CoRR abs/2203.00510 (2022) - [i34]Toshiaki Koike-Akino, Pu Wang, Ye Wang:
Quantum Transfer Learning for Wi-Fi Sensing. CoRR abs/2205.08590 (2022) - [i33]Bryan Liu, Toshiaki Koike-Akino, Ye Wang, Kieran Parsons:
Variational Quantum Compressed Sensing for Joint User and Channel State Acquisition in Grant-Free Device Access Systems. CoRR abs/2205.08603 (2022) - [i32]Bryan Liu, Toshiaki Koike-Akino, Ye Wang, Kieran Parsons:
Learning to Learn Quantum Turbo Detection. CoRR abs/2205.08611 (2022) - [i31]Toshiaki Koike-Akino, Pu Wang, Ye Wang:
AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications. CoRR abs/2205.09115 (2022) - [i30]Toshiaki Koike-Akino, Pu Wang, Genki Yamashita, Wataru Tsujita, Makoto Nakajima:
Quantum Feature Extraction for THz Multi-Layer Imaging. CoRR abs/2207.09285 (2022) - [i29]Haifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, Zhengming Ding:
Adversarial Bi-Regressor Network for Domain Adaptive Regression. CoRR abs/2209.09943 (2022) - [i28]Toshiaki Koike-Akino, Ye Wang:
quEEGNet: Quantum AI for Biosignal Processing. CoRR abs/2210.00864 (2022) - 2021
- [j27]Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
AutoBayes: Automated Bayesian Graph Exploration for Nuisance- Robust Inference. IEEE Access 9: 39955-39972 (2021) - [j26]Masaki Haruna, Noboru Kawaguchi, Masaki Ogino, Toshiaki Koike-Akino:
Comparison of Three Feedback Modalities for Haptics Sensation in Remote Machine Manipulation. IEEE Robotics Autom. Lett. 6(3): 5040-5047 (2021) - [j25]Toshiki Matsumine, Toshiaki Koike-Akino, Hideki Ochiai:
A Low-Complexity Probabilistic Amplitude Shaping With Short Linear Block Codes. IEEE Trans. Commun. 69(12): 7923-7933 (2021) - [j24]Mo Han, Ozan Özdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
Universal Physiological Representation Learning With Soft-Disentangled Rateless Autoencoders. IEEE J. Biomed. Health Informatics 25(8): 2928-2937 (2021) - [j23]Takuya Fujihashi, Toshiaki Koike-Akino, Philip V. Orlik, Takashi Watanabe:
High-Throughput Visual MIMO Systems for Screen-Camera Communications. IEEE Trans. Mob. Comput. 20(6): 2200-2211 (2021) - [c126]Toshiaki Koike-Akino, Ye Wang, Keisuke Kojima, Kieran Parsons, Tsuyoshi Yoshida:
Zero-Multiplier Sparse DNN Equalization for Fiber-Optic QAM Systems with Probabilistic Amplitude Shaping. ECOC 2021: 1-4 - [c125]Pavel Skvortcov, Toshiaki Koike-Akino, David S. Millar, Keisuke Kojima, Kieran Parsons:
Dual Coding Concatenation for Burst-Error Correction in Probabilistic Amplitude Shaping. ECOC 2021: 1-4 - [c124]Pavel Skvortcov, David S. Millar, Ian D. Phillips, Wladek Forysiak, Toshiaki Koike-Akino, Keisuke Kojima, Kieran Parsons:
Experimental Analysis of Mismatched Soft-Demapping for Probabilistic Shaping in Short-Reach Nonlinear Transmission. ECOC 2021: 1-4 - [c123]Andac Demir, Toshiaki Koike-Akino, Ye Wang, Masaki Haruna, Deniz Erdogmus:
EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals. EMBC 2021: 1061-1067 - [c122]Bryan Liu, Jianlin Guo, Toshiaki Koike-Akino, Ye Wang, Kyeong Jin Kim, Kieran Parsons, Philip V. Orlik, Jinhong Yuan:
Anomaly Detection and Diagnosis Using Pre-Processing and Time-Delay Autoencoder. ETFA 2021: 1-8 - [c121]Takuya Fujihashi, Toshiaki Koike-Akino, Siheng Chen, Takashi Watanabe:
Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks. ICC 2021: 1-6 - [c120]Toshiaki Koike-Akino, Ye Wang:
Protograph-Based Design for QC Polar Codes. ISIT 2021: 593-598 - [c119]Ye Wang, Shuchin Aeron, Adnan Siraj Rakin, Toshiaki Koike-Akino, Pierre Moulin:
Robust Machine Learning via Privacy/ Rate-Distortion Theory. ISIT 2021: 1320-1325 - [c118]Adnan Siraj Rakin, Ye Wang, Shuchin Aeron, Toshiaki Koike-Akino, Pierre Moulin, Kieran Parsons:
Towards Universal Adversarial Examples and Defenses. ITW 2021: 1-6 - [i27]Toshiaki Koike-Akino, Ye Wang:
Protograph-Based Design for QC Polar Codes. CoRR abs/2102.12629 (2021) - [i26]Andac Demir, Toshiaki Koike-Akino, Ye Wang, Masaki Haruna, Deniz Erdogmus:
EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals. CoRR abs/2106.09135 (2021) - [i25]Takuya Fujihashi, Toshiaki Koike-Akino, Takashi Watanabe:
Soft Delivery: Survey on A New Paradigm for Wireless and Mobile Multimedia Streaming. CoRR abs/2111.08189 (2021) - [i24]Udara De Silva, Toshiaki Koike-Akino, Rui Ma, Ao Yamashita, Hideyuki Nakamizo:
A Modular 1D-CNN Architecture for Real-time Digital Pre-distortion. CoRR abs/2111.09637 (2021) - [i23]Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data. CoRR abs/2112.09796 (2021) - [i22]Jianyuan Yu, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, R. Michael Buehrer:
Multi-Band Wi-Fi Sensing with Matched Feature Granularity. CoRR abs/2112.14006 (2021) - 2020
- [j22]Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Learning Invariant Representations From EEG via Adversarial Inference. IEEE Access 8: 27074-27085 (2020) - [j21]Toshiaki Koike-Akino, Pu Wang, Milutin Pajovic, Haijian Sun, Philip V. Orlik:
Fingerprinting-Based Indoor Localization With Commercial MMWave WiFi: A Deep Learning Approach. IEEE Access 8: 84879-84892 (2020) - [j20]Masaki Haruna, Masaki Ogino, Toshiaki Koike-Akino:
Proposal and Evaluation of Visual Haptics for Manipulation of Remote Machine System. Frontiers Robotics AI 7: 529040 (2020) - [j19]Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction. IEEE Signal Process. Lett. 27: 1565-1569 (2020) - [j18]Tobias Fehenberger, David S. Millar, Toshiaki Koike-Akino, Keisuke Kojima, Kieran Parsons:
Parallel-Amplitude Architecture and Subset Ranking for Fast Distribution Matching. IEEE Trans. Commun. 68(4): 1981-1990 (2020) - [j17]Maxim Goukhshtein, Petros T. Boufounos, Toshiaki Koike-Akino, Stark C. Draper:
Distributed Coding of Quantized Random Projections. IEEE Trans. Signal Process. 68: 5924-5939 (2020) - [c117]Abhinav Kumar, Tim K. Marks, Wenxuan Mou, Ye Wang, Michael Jones, Anoop Cherian, Toshiaki Koike-Akino, Xiaoming Liu, Chen Feng:
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood. CVPR 2020: 8233-8243 - [c116]Veeru Talreja, Toshiaki Koike-Akino, Ye Wang, David S. Millar, Keisuke Kojima, Kieran Parsons:
End-to-End Deep Learning for Phase Noise-Robust Multi-Dimensional Geometric Shaping. ECOC 2020: 1-3 - [c115]Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Disentangled Adversarial Transfer Learning for Physiological Biosignals. EMBC 2020: 422-425 - [c114]Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang:
Polar Coding with Chemical Reaction Networks for Molecular Communications. GLOBECOM 2020: 1-6 - [c113]Pu Wang, Toshiaki Koike-Akino, Philip V. Orlik:
Fingerprinting-Based Indoor Localization with Commercial MMWave WiFi: NLOS Propagation. GLOBECOM 2020: 1-6 - [c112]Jianyuan Yu, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, Haijian Sun:
Human Pose and Seat Occupancy Classification with Commercial MMWave WiFi. GLOBECOM (Workshops) 2020: 1-6 - [c111]Yuxuan Xia, Pu Wang, Karl Berntorp, Toshiaki Koike-Akino, Hassan Mansour, Milutin Pajovic, Petros Boufounos, Philip V. Orlik:
Extended Object Tracking Using Hierarchical Truncation Measurement Model with Automotive Radar. ICASSP 2020: 4900-4904 - [c110]Ye Wang, Toshiaki Koike-Akino:
Learning to Modulate for Non-coherent MIMO. ICC 2020: 1-6 - [c109]Takuya Fujihashi, Toshiaki Koike-Akino, Takashi Watanabe, Philip V. Orlik:
High-Quality Soft Image Delivery with Deep Image Denoising. ICC 2020: 1-6 - [c108]Takuya Fujihashi, Toshiaki Koike-Akino, Takashi Watanabe, Philip V. Orlik:
Overhead Reduction in Graph-Based Point Cloud Delivery. ICC 2020: 1-6 - [c107]Toshiaki Koike-Akino, Ye Wang:
Stochastic Bottleneck: Rateless Auto-Encoder for Flexible Dimensionality Reduction. ISIT 2020: 2735-2740 - [c106]Toshiaki Koike-Akino, Toshiki Matsumine, Ye Wang, David S. Millar, Keisuke Kojima, Kieran Parsons:
Variational Quantum Demodulation for Coherent Optical Multi-Dimensional QAM. OFC 2020: 1-3 - [c105]Toshiaki Koike-Akino, David S. Millar, Keisuke Kojima, Kieran Parsons:
Stochastic EXIT Design for Low-Latency Short-Block LDPC Codes. OFC 2020: 1-3 - [c104]Keisuke Kojima, Mohammad H. Tahersima, Toshiaki Koike-Akino, Devesh K. Jha, Yingheng Tang, Ye Wang, Kieran Parsons, Fengqiao Sang, Jonathan Klamkin:
Deep Neural Networks for Designing Integrated Photonics. OFC 2020: 1-3 - [c103]Yingheng Tang, Keisuke Kojima, Toshiaki Koike-Akino, Ye Wang, Pengxiang Wu, Mohammad H. Tahersima, Devesh K. Jha, Kieran Parsons, Minghao Qi:
Generative Deep Learning Model for a Multi-Level Nano-Optic Broadband Power Splitter. OFC 2020: 1-3 - [c102]Haijian Sun, Pu Wang, Milutin Pajovic, Toshiaki Koike-Akino, Philip V. Orlik, Akinori Taira, Kenji Nakagawa:
Fingerprinting-Based Outdoor Localization with 28-GHz Channel Measurement: A Field Study. SPAWC 2020: 1-5 - [i21]Abhinav Kumar, Tim K. Marks, Wenxuan Mou, Ye Wang, Michael J. Jones, Anoop Cherian, Toshiaki Koike-Akino, Xiaoming Liu, Chen Feng:
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood. CoRR abs/2004.02980 (2020) - [i20]Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Disentangled Adversarial Transfer Learning for Physiological Biosignals. CoRR abs/2004.08289 (2020) - [i19]Toshiaki Koike-Akino, Ye Wang:
Stochastic Bottleneck: Rateless Auto-Encoder for Flexible Dimensionality Reduction. CoRR abs/2005.02870 (2020) - [i18]Tobias Fehenberger, David S. Millar, Toshiaki Koike-Akino, Keisuke Kojima, Kieran Parsons, Helmut Griesser:
Analysis of Nonlinear Fiber Interactions for Finite-Length Constant-Composition Sequences. CoRR abs/2006.07039 (2020) - [i17]Tobias Fehenberger, David S. Millar, Toshiaki Koike-Akino, Keisuke Kojima, Kieran Parsons, Helmut Griesser:
Huffman-coded Sphere Shaping and Distribution Matching Algorithms via Lookup Tables. CoRR abs/2006.07045 (2020) - [i16]Takuya Fujihashi, Toshiaki Koike-Akino, Siheng Chen, Takashi Watanabe:
Wireless 3D Point Cloud Delivery Using Deep Graph Neural Networks. CoRR abs/2006.09835 (2020) - [i15]Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
AutoBayes: Automated Inference via Bayesian Graph Exploration for Nuisance-Robust Biosignal Analysis. CoRR abs/2007.01255 (2020) - [i14]Ye Wang, Shuchin Aeron, Adnan Siraj Rakin, Toshiaki Koike-Akino, Pierre Moulin:
Robust Machine Learning via Privacy/Rate-Distortion Theory. CoRR abs/2007.11693 (2020) - [i13]Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction. CoRR abs/2008.11426 (2020) - [i12]Mo Han, Ozan Özdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders. CoRR abs/2009.13453 (2020) - [i11]Maxim Goukhshtein, Petros T. Boufounos, Toshiaki Koike-Akino, Stark C. Draper:
Distributed Coding of Quantized Random Projections. CoRR abs/2010.02444 (2020)
2010 – 2019
- 2019
- [j16]Bin Hu, Yebin Wang, Philip V. Orlik, Toshiaki Koike-Akino, Jianlin Guo:
Co-design of safe and efficient networked control systems in factory automation with state-dependent wireless fading channels. Autom. 105: 334-346 (2019) - [j15]Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Adversarial Deep Learning in EEG Biometrics. IEEE Signal Process. Lett. 26(5): 710-714 (2019) - [j14]Tobias Fehenberger, David S. Millar, Toshiaki Koike-Akino, Keisuke Kojima, Kieran Parsons:
Multiset-Partition Distribution Matching. IEEE Trans. Commun. 67(3): 1885-1893 (2019) - [j13]Takuya Fujihashi, Toshiaki Koike-Akino, Takashi Watanabe, Philip V. Orlik:
FreeCast: Graceful Free-Viewpoint Video Delivery. IEEE Trans. Multim. 21(4): 1000-1010 (2019) - [c101]Takuya Fujihashi, Toshiaki Koike-Akino, Takashi Watanabe, Philip V. Orlik:
DNN-Based Simultaneous Screen-to-Camera and Screen-to-Eye Communications. GLOBECOM 2019: 1-6 - [c100]Takuya Fujihashi, Toshiaki Koike-Akino, Takashi Watanabe, Philip V. Orlik:
DNN-Based Overhead Reduction for High-Quality Soft Delivery. GLOBECOM 2019: 1-6 - [c99]Mads H. Jespersen, Milutin Pajovic, Toshiaki Koike-Akino, Ye Wang, Petar Popovski, Philip V. Orlik:
Deep Learning for Synchronization and Channel Estimation in NB-IoT Random Access Channel. GLOBECOM 2019: 1-7 - [c98]Milutin Pajovic, Pu Wang, Toshiaki Koike-Akino, Haijian Sun, Philip V. Orlik:
Fingerprinting-Based Indoor Localization with Commercial mmWave WiFi - Part I: RSS and Beam Indices. GLOBECOM 2019: 1-6 - [c97]Pu Wang, Toshiaki Koike-Akino, Philip V. Orlik, Milutin Pajovic, Kyeong Jin Kim:
Variational Bayesian Symbol Detection for Massive MIMO Systems with Symbol-Dependent Transmit Impairments. GLOBECOM 2019: 1-6 - [c96]Pu Wang, Milutin Pajovic, Toshiaki Koike-Akino, Haijian Sun, Philip V. Orlik:
Fingerprinting-Based Indoor Localization with Commercial mmWave WiFi - Part II: Spatial Beam SNRs. GLOBECOM 2019: 1-6 - [c95]Pu Wang, Toshiaki Koike-Akino, Milutin Pajovic, Philip V. Orlik, Wataru Tsujita, Fulvio Gini:
Misspecified CRB on Parameter Estimation for a Coupled Mixture of Polynomial Phase and Sinusoidal FM Signals. ICASSP 2019: 5302-5306 - [c94]Takuya Fujihashi, Toshiaki Koike-Akino, Takashi Watanabe, Philip V. Orlik:
HoloCast: Graph Signal Processing for Graceful Point Cloud Delivery. ICC 2019: 1-7 - [c93]Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang:
Deep Learning-Based Constellation Optimization for Physical Network Coding in Two-Way Relay Networks. ICC 2019: 1-6 - [c92]Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang:
Channel Decoding with Quantum Approximate Optimization Algorithm. ISIT 2019: 2574-2578 - [c91]Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders. NER 2019: 207-210 - [c90]Chun-Shu Wei, Toshiaki Koike-Akino, Ye Wang:
Spatial Component-wise Convolutional Network (SCCNet) for Motor-Imagery EEG Classification. NER 2019: 328-331 - [c89]Amit Sangwan, Kuriyama Tasuku, Kazunari Kihira, Toru Fukasawa, Rui Ma, Bingnan Wang, Kyeong Kim, Kieran Parsons, Toshiaki Koike-Akino, Pu Wang, Philip V. Orlik, Koon Hoo Teo:
CDM-based 4-Channel Digital Beamforming Transmitter Using a Single DAC. NEWCAS 2019: 1-4 - [c88]Semih Cayci, Toshiaki Koike-Akino, Ye Wang:
Nonbinary Polar Coding for Multilevel Modulation. OFC 2019: 1-3 - [c87]Tobias Fehenberger, David S. Millar, Toshiaki Koike-Akino, Keisuke Kojima, Kieran Parsons:
Partition-Based Probabilistic Shaping for Fiber-Optic Communication Systems. OFC 2019: 1-3 - [c86]Toshiki Matsumine, Toshiaki Koike-Akino, David S. Millar, Keisuke Kojima, Kieran Parsons:
Polar-Coded Modulation for Joint Channel Coding and Probabilistic Shaping. OFC 2019: 1-3 - [c85]Mohammad H. Tahersima, Keisuke Kojima, Toshiaki Koike-Akino, Devesh K. Jha, Bingnan Wang, Chungwei Lin, Kieran Parsons:
Deep Neural Network Inverse Modeling for Integrated Photonics. OFC 2019: 1-3 - [c84]Toshiaki Koike-Akino, Ye Wang, Semih Cayci, David S. Millar, Keisuke Kojima, Kieran Parsons:
Hardware-Efficient Quantized Polar Decoding with Optimized Lookup Table. OECC/PSC 2019: 1-3 - [c83]Milutin Pajovic, Pu Wang, Toshiaki Koike-Akino, Philip V. Orlik:
Sparse Bayesian Estimation of Millimeter-Wave Channel Correlation Matrix. SPAWC 2019: 1-5 - [i10]Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang:
Channel Decoding with Quantum Approximate Optimization Algorithm. CoRR abs/1903.02537 (2019) - [i9]Takuya Fujihashi, Toshiaki Koike-Akino, Takashi Watanabe, Philip V. Orlik:
HoloCast: Graph Signal Processing for Graceful Point Cloud Delivery. CoRR abs/1903.03247 (2019) - [i8]Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang:
Polar Coding with Chemical Reaction Networks. CoRR abs/1903.03709 (2019) - [i7]Ye Wang, Toshiaki Koike-Akino:
Learning to Modulate for Non-coherent MIMO. CoRR abs/1903.03711 (2019) - [i6]Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang:
Deep Learning-Based Constellation Optimization for Physical Network Coding in Two-Way Relay Networks. CoRR abs/1903.03713 (2019) - [i5]Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Adversarial Deep Learning in EEG Biometrics. CoRR abs/1903.11673 (2019) - [i4]Toshiaki Koike-Akino, Ye Wang, David S. Millar, Keisuke Kojima, Kieran Parsons:
Neural Turbo Equalization: Deep Learning for Fiber-Optic Nonlinearity Compensation. CoRR abs/1911.10131 (2019) - 2018
- [j12]Takuya Fujihashi, Toshiaki Koike-Akino, Takashi Watanabe, Philip V. Orlik:
High-Quality Soft Video Delivery With GMRF-Based Overhead Reduction. IEEE Trans. Multim. 20(2): 473-483 (2018) - [c82]Fernando Quivira, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
Translating sEMG signals to continuous hand poses using recurrent neural networks. BHI 2018: 166-169 - [c81]Yehan Ma, Yebin Wang, Stefano Di Cairano, Toshiaki Koike-Akino, Jianlin Guo, Philip V. Orlik, Chenyang Lu:
A smart actuation architecture for wireless networked control systems. CDC 2018: 1231-1237 - [c80]Toshiaki Koike-Akino, David S. Millar, Keisuke Kojima, Kieran Parsons:
Lattice Precoding for Multi-Span Constellation Shaping. ECOC 2018: 1-3 - [c79]Toshiaki Koike-Akino, David S. Millar, Kieran Parsons, Keisuke Kojima:
Schalkwijk-Kailath Feedback Error Correction for Optical Data Center Interconnects. ECOC 2018: 1-3 - [c78]Toshiaki Koike-Akino, Milutin Pajovic, David S. Millar, Keisuke Kojima, Kieran Parsons:
Superchannel CPE with Wyner-Ziv Cooperation for Band-Limited Interconnects in Multi-DSP Receiver. ECOC 2018: 1-3 - [c77]Toshiaki Koike-Akino, Ye Wang, Keisuke Kojima, David S. Millar, Kieran Parsons:
EXIT Convergence Analysis of BICM-ID Based on High-Dimensional Modulation and Polar-TPC. ECOC 2018: 1-3 - [c76]Toshiaki Koike-Akino, Pu Wang, Philip V. Orlik:
Joint Lattice and Subspace Vector Perturbation with PAPR Reduction for Massive MU-MIMO Systems. GLOBECOM 2018: 1-7 - [c75]Milutin Pajovic, Gozde Ozcan, Toshiaki Koike-Akino, Pu Wang, Philip V. Orlik:
Packet Separation in Phase Noise Impaired Random Access Channel. GLOBECOM 2018: 1-7 - [c74]