dblp: Ye Wang
https://dblp.org/pid/44/6292-1.html
dblp person page RSS feedTue, 10 Dec 2024 21:45:13 +0100en-USdaily1released under the CC0 1.0 licensedblp@dagstuhl.de (dblp team)dblp@dagstuhl.de (dblp team)Computers/Computer_Science/Publications/Bibliographieshttp://www.rssboard.org/rss-specificationhttps://dblp.org/img/logo.144x51.pngdblp: Ye Wanghttps://dblp.org/pid/44/6292-1.html14451Remaining Useful Life Estimation of Used Li-Ion Cells With Deep Learning Algorithms Without First Life Information.https://doi.org/10.1109/ACCESS.2024.3474089Iván Sanz-Gorrachategui, Ye Wang, Alejandro Guillén-Asensio, Antonio Bono-Nuez, Bonifacio Martín-del-Brío, Philip V. Orlik, Pablo Pastor-Flores: Remaining Useful Life Estimation of Used Li-Ion Cells With Deep Learning Algorithms Without First Life Information.IEEE Access12: 147798-147808 (2024)]]>https://dblp.org/rec/journals/access/SanzGorrachateguiWGBMOP24Mon, 01 Jan 2024 00:00:00 +0100Analyzing Inference Privacy Risks Through Gradients In Machine Learning.https://doi.org/10.1145/3658644.3690304Zhuohang Li, Andrew Lowy, Jing Liu, Toshiaki Koike-Akino, Kieran Parsons, Bradley A. Malin, Ye Wang: Analyzing Inference Privacy Risks Through Gradients In Machine Learning.CCS2024: 3466-3480]]>https://dblp.org/rec/conf/ccs/LiLLKPM024Mon, 01 Jan 2024 00:00:00 +0100Bayesian Forecasting with Deep Generative Disturbance Models in Stochastic MPC for Building Energy Systems.https://doi.org/10.1109/CCTA60707.2024.10666537Farshud Sorourifar, Joel A. Paulson, Ye Wang, Rien Quirynen, Christopher R. Laughman, Ankush Chakrabarty: Bayesian Forecasting with Deep Generative Disturbance Models in Stochastic MPC for Building Energy Systems.CCTA2024: 414-419]]>https://dblp.org/rec/conf/ccta/SorourifarPWQLC24Mon, 01 Jan 2024 00:00:00 +0100Assessing Building Control Performance Using Physics-Based Simulation Models and Deep Generative Networks.https://doi.org/10.1109/CCTA60707.2024.10666585Ankush Chakrabarty, Luigi Vanfretti, Wei-Ting Tang, Joel A. Paulson, Sicheng Zhan, Scott A. Bortoff, Vedang M. Deshpande, Ye Wang, Christopher R. Laughman: Assessing Building Control Performance Using Physics-Based Simulation Models and Deep Generative Networks.CCTA2024: 547-554]]>https://dblp.org/rec/conf/ccta/ChakrabartyVTPZBDWL24Mon, 01 Jan 2024 00:00:00 +0100CoLa-SDF: Controllable Latent StyleSDF for Disentangled 3D Face Generation.https://doi.org/10.1109/CVPRW63382.2024.00291Rahul Dey, Bernhard Egger, Vishnu Naresh Boddeti, Ye Wang, Tim K. Marks: CoLa-SDF: Controllable Latent StyleSDF for Disentangled 3D Face Generation.CVPR Workshops2024: 2852-2861]]>https://dblp.org/rec/conf/cvpr/Dey0B0M22Mon, 01 Jan 2024 00:00:00 +0100SuperLoRA: Parameter-Efficient Unified Adaptation for Large Vision Models.https://doi.org/10.1109/CVPRW63382.2024.00804Xiangyu Chen, Jing Liu, Ye Wang, Pu (Perry) Wang, Matthew Brand, Guanghui Wang, Toshiaki Koike-Akino: SuperLoRA: Parameter-Efficient Unified Adaptation for Large Vision Models.CVPR Workshops2024: 8050-8055]]>https://dblp.org/rec/conf/cvpr/ChenLWWBWK22Mon, 01 Jan 2024 00:00:00 +0100TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models.https://doi.org/10.1109/CVPR52733.2024.00861Haomiao Ni, Bernhard Egger, Suhas Lohit, Anoop Cherian, Ye Wang, Toshiaki Koike-Akino, Sharon X. Huang, Tim K. Marks: TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models.CVPR2024: 9015-9025]]>https://dblp.org/rec/conf/cvpr/Ni0LC0KHM24Mon, 01 Jan 2024 00:00:00 +0100Why Does Differential Privacy with Large Epsilon Defend Against Practical Membership Inference Attacks?https://doi.org/10.48550/arXiv.2402.09540Andrew Lowy, Zhuohang Li, Jing Liu, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang: Why Does Differential Privacy with Large Epsilon Defend Against Practical Membership Inference Attacks?CoRRabs/2402.09540 (2024)]]>https://dblp.org/rec/journals/corr/abs-2402-09540Mon, 01 Jan 2024 00:00:00 +0100AutoHLS: Learning to Accelerate Design Space Exploration for HLS Designs.https://doi.org/10.48550/arXiv.2403.10686Md Rubel Ahmed, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang: AutoHLS: Learning to Accelerate Design Space Exploration for HLS Designs.CoRRabs/2403.10686 (2024)]]>https://dblp.org/rec/journals/corr/abs-2403-10686Mon, 01 Jan 2024 00:00:00 +0100SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer Attention Modules.https://doi.org/10.48550/arXiv.2403.11887Xiangyu Chen, Jing Liu, Ye Wang, Pu (Perry) Wang, Matthew Brand, Guanghui Wang, Toshiaki Koike-Akino: SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer Attention Modules.CoRRabs/2403.11887 (2024)]]>https://dblp.org/rec/journals/corr/abs-2403-11887Mon, 01 Jan 2024 00:00:00 +0100TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models.https://doi.org/10.48550/arXiv.2404.16306Haomiao Ni, Bernhard Egger, Suhas Lohit, Anoop Cherian, Ye Wang, Toshiaki Koike-Akino, Sharon X. Huang, Tim K. Marks: TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models.CoRRabs/2404.16306 (2024)]]>https://dblp.org/rec/journals/corr/abs-2404-16306Mon, 01 Jan 2024 00:00:00 +0100Efficient Differentially Private Fine-Tuning of Diffusion Models.https://doi.org/10.48550/arXiv.2406.05257Jing Liu, Andrew Lowy, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang: Efficient Differentially Private Fine-Tuning of Diffusion Models.CoRRabs/2406.05257 (2024)]]>https://dblp.org/rec/journals/corr/abs-2406-05257Mon, 01 Jan 2024 00:00:00 +0100GPT Sonograpy: Hand Gesture Decoding from Forearm Ultrasound Images via VLM.https://doi.org/10.48550/arXiv.2407.10870Keshav Bimbraw, Ye Wang, Jing Liu, Toshiaki Koike-Akino: GPT Sonograpy: Hand Gesture Decoding from Forearm Ultrasound Images via VLM.CoRRabs/2407.10870 (2024)]]>https://dblp.org/rec/journals/corr/abs-2407-10870Mon, 01 Jan 2024 00:00:00 +0100Random Channel Ablation for Robust Hand Gesture Classification with Multimodal Biosignals.https://doi.org/10.48550/arXiv.2407.10874Keshav Bimbraw, Jing Liu, Ye Wang, Toshiaki Koike-Akino: Random Channel Ablation for Robust Hand Gesture Classification with Multimodal Biosignals.CoRRabs/2407.10874 (2024)]]>https://dblp.org/rec/journals/corr/abs-2407-10874Mon, 01 Jan 2024 00:00:00 +0100Variational Randomized Smoothing for Sample-Wise Adversarial Robustness.https://doi.org/10.48550/arXiv.2407.11844Ryo Hase, Ye Wang, Toshiaki Koike-Akino, Jing Liu, Kieran Parsons: Variational Randomized Smoothing for Sample-Wise Adversarial Robustness.CoRRabs/2407.11844 (2024)]]>https://dblp.org/rec/journals/corr/abs-2407-11844Mon, 01 Jan 2024 00:00:00 +0100Analyzing Inference Privacy Risks Through Gradients in Machine Learning.https://doi.org/10.48550/arXiv.2408.16913Zhuohang Li, Andrew Lowy, Jing Liu, Toshiaki Koike-Akino, Kieran Parsons, Bradley A. Malin, Ye Wang: Analyzing Inference Privacy Risks Through Gradients in Machine Learning.CoRRabs/2408.16913 (2024)]]>https://dblp.org/rec/journals/corr/abs-2408-16913Mon, 01 Jan 2024 00:00:00 +0100Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage.https://doi.org/10.48550/arXiv.2408.17354Md. Rafi Ur Rashid, Jing Liu, Toshiaki Koike-Akino, Shagufta Mehnaz, Ye Wang: Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage.CoRRabs/2408.17354 (2024)]]>https://dblp.org/rec/journals/corr/abs-2408-17354Mon, 01 Jan 2024 00:00:00 +0100Exploring User-level Gradient Inversion with a Diffusion Prior.https://doi.org/10.48550/arXiv.2409.07291Zhuohang Li, Andrew Lowy, Jing Liu, Toshiaki Koike-Akino, Bradley A. Malin, Kieran Parsons, Ye Wang: Exploring User-level Gradient Inversion with a Diffusion Prior.CoRRabs/2409.07291 (2024)]]>https://dblp.org/rec/journals/corr/abs-2409-07291Mon, 01 Jan 2024 00:00:00 +0100Improving adversarial robustness by learning shared information.https://doi.org/10.1016/j.patcog.2022.109054Xi 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)]]>https://dblp.org/rec/journals/pr/YuSAKMBPW23Sun, 01 Jan 2023 00:00:00 +0100Synthesizing Building Operation Data with Generative Models: VAEs, GANs, or Something In Between?https://doi.org/10.1145/3599733.3600260Alessandro Salatiello, Ye Wang, Gordon Wichern, Toshiaki Koike-Akino, Yoshihiro Ohta, Yosuke Kaneko, Christopher R. Laughman, Ankush Chakrabarty: Synthesizing Building Operation Data with Generative Models: VAEs, GANs, or Something In Between?e-Energy (Companion)2023: 125-133]]>https://dblp.org/rec/conf/eenergy/Salatiello0WKOK23Sun, 01 Jan 2023 00:00:00 +0100mmWave Wi-Fi Trajectory Estimation with Continuous-Time Neural Dynamic Learning.https://doi.org/10.1109/ICASSP49357.2023.10096474Cristian J. Vaca-Rubio, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Petros Boufounos, Petar Popovski: mmWave Wi-Fi Trajectory Estimation with Continuous-Time Neural Dynamic Learning.ICASSP2023: 1-5]]>https://dblp.org/rec/conf/icassp/VacaRubioWKWBP23Sun, 01 Jan 2023 00:00:00 +0100DeepEAD: Explainable Anomaly Detection from System Logs.https://doi.org/10.1109/ICC45041.2023.10279563Xinda Wang, Kyeong Jin Kim, Ye Wang, Toshiaki Koike-Akino, Kieran Parsons: DeepEAD: Explainable Anomaly Detection from System Logs.ICC2023: 771-776]]>https://dblp.org/rec/conf/icc/WangKWKP23Sun, 01 Jan 2023 00:00:00 +0100Spectrum Sharing-Inspired Safe Motion Planning.https://doi.org/10.1109/ICCWorkshops57953.2023.10283729Kyeong Jin Kim, Abraham P. Vinod, Jianlin Guo, Vedang M. Deshpande, Kieran Parsons, Ye Wang: Spectrum Sharing-Inspired Safe Motion Planning.ICC Workshops2023: 819-824]]>https://dblp.org/rec/conf/icc/KimVGDPW23Sun, 01 Jan 2023 00:00:00 +0100Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis.https://doi.org/10.1109/ICCV51070.2023.01906Nithin Gopalakrishnan Nair, Anoop Cherian, Suhas Lohit, Ye Wang, Toshiaki Koike-Akino, Vishal M. Patel, Tim K. Marks: Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis.ICCV2023: 20793-20803]]>https://dblp.org/rec/conf/iccv/NairCL0K0M23Sun, 01 Jan 2023 00:00:00 +0100AutoHLS: Learning to Accelerate Design Space Exploration for HLS Designs.https://doi.org/10.1109/MWSCAS57524.2023.10405914Md Rubel Ahmed, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang: AutoHLS: Learning to Accelerate Design Space Exploration for HLS Designs.MWSCAS2023: 491-495]]>https://dblp.org/rec/conf/mwscas/AhmedKPW23Sun, 01 Jan 2023 00:00:00 +0100Joint Software-Hardware Design for Green AI.https://doi.org/10.1109/MWSCAS57524.2023.10405937Md Rubel Ahmed, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang: Joint Software-Hardware Design for Green AI.MWSCAS2023: 1108-1112]]>https://dblp.org/rec/conf/mwscas/AhmedKPW23aSun, 01 Jan 2023 00:00:00 +0100MOST-GAN Pre-trained Model.https://doi.org/10.5281/zenodo.8230577Safa C. Medin, Bernhard Egger, Anoop Cherian, Ye Wang, Joshua B. Tenenbaum, Xiaoming Liu, Tim K. Marks: MOST-GAN Pre-trained Model. ]]>https://dblp.org/rec/data/10/MedinECWTLM23Tue, 01 Aug 2023 01:00:00 +0200Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis.https://doi.org/10.48550/arXiv.2310.00224Nithin Gopalakrishnan Nair, Anoop Cherian, Suhas Lohit, Ye Wang, Toshiaki Koike-Akino, Vishal M. Patel, Tim K. Marks: Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis.CoRRabs/2310.00224 (2023)]]>https://dblp.org/rec/journals/corr/abs-2310-00224Sun, 01 Jan 2023 00:00:00 +0100Stabilizing Subject Transfer in EEG Classification with Divergence Estimation.https://doi.org/10.48550/arXiv.2310.08762Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Jing Liu, Kieran Parsons, Yunus Bicer, Deniz Erdogmus: Stabilizing Subject Transfer in EEG Classification with Divergence Estimation.CoRRabs/2310.08762 (2023)]]>https://dblp.org/rec/journals/corr/abs-2310-08762Sun, 01 Jan 2023 00:00:00 +0100Multi-Band Wi-Fi Sensing With Matched Feature Granularity.https://doi.org/10.1109/JIOT.2022.3190826Jianyuan 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)]]>https://dblp.org/rec/journals/iotj/YuWKWOB22Sat, 01 Jan 2022 00:00:00 +0100MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation.https://doi.org/10.1609/aaai.v36i2.20091Safa C. Medin, Bernhard Egger, Anoop Cherian, Ye Wang, Joshua B. Tenenbaum, Xiaoming Liu, Tim K. Marks: MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation.AAAI2022: 1962-1971]]>https://dblp.org/rec/conf/aaai/MedinEC0T0M22Sat, 01 Jan 2022 00:00:00 +0100quEEGNet: Quantum AI for Biosignal Processing.https://doi.org/10.1109/BHI56158.2022.9926814Toshiaki Koike-Akino, Ye Wang: quEEGNet: Quantum AI for Biosignal Processing.BHI2022: 1-4]]>https://dblp.org/rec/conf/bhi/Koike-AkinoW22Sat, 01 Jan 2022 00:00:00 +0100EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals.https://doi.org/10.1109/EMBC48229.2022.9871984Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus: EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals.EMBC2022: 30-35]]>https://dblp.org/rec/conf/embc/DemirKWE22Sat, 01 Jan 2022 00:00:00 +0100AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data.https://doi.org/10.1109/EMBC48229.2022.9871649Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus: AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data.EMBC2022: 3159-3165]]>https://dblp.org/rec/conf/embc/Smedemark-Margulies22Sat, 01 Jan 2022 00:00:00 +0100Quantum Transfer Learning for Wi-Fi Sensing.https://doi.org/10.1109/ICC45855.2022.9839011Toshiaki Koike-Akino, Pu Wang, Ye Wang: Quantum Transfer Learning for Wi-Fi Sensing.ICC2022: 654-659]]>https://dblp.org/rec/conf/icc/Koike-AkinoWW22Sat, 01 Jan 2022 00:00:00 +0100Variational Quantum Compressed Sensing for Joint User and Channel State Acquisition in Grant-Free Device Access Systems.https://doi.org/10.1109/ICC45855.2022.9838445Bryan 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.ICC2022: 1775-1780]]>https://dblp.org/rec/conf/icc/LiuKWP22Sat, 01 Jan 2022 00:00:00 +0100AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications.https://doi.org/10.1109/SAM53842.2022.9827846Toshiaki Koike-Akino, Pu Wang, Ye Wang: AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications.SAM2022: 360-364]]>https://dblp.org/rec/conf/ieeesam/Koike-AkinoWW22Sat, 01 Jan 2022 00:00:00 +0100Adversarial Bi-Regressor Network for Domain Adaptive Regression.https://doi.org/10.24963/ijcai.2022/501Haifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, Zhengming Ding: Adversarial Bi-Regressor Network for Domain Adaptive Regression.IJCAI2022: 3608-3614]]>https://dblp.org/rec/conf/ijcai/XiaWKWOD22Sat, 01 Jan 2022 00:00:00 +0100AutoVAE: Mismatched Variational Autoencoder with Irregular Posterior-Prior Pairing.https://doi.org/10.1109/ISIT50566.2022.9834769Toshiaki Koike-Akino, Ye Wang: AutoVAE: Mismatched Variational Autoencoder with Irregular Posterior-Prior Pairing.ISIT2022: 1689-1694]]>https://dblp.org/rec/conf/isit/Koike-AkinoW22Sat, 01 Jan 2022 00:00:00 +0100Quantum Transfer Learning for Wi-Fi Sensing.https://doi.org/10.48550/arXiv.2205.08590Toshiaki Koike-Akino, Pu Wang, Ye Wang: Quantum Transfer Learning for Wi-Fi Sensing.CoRRabs/2205.08590 (2022)]]>https://dblp.org/rec/journals/corr/abs-2205-08590Sat, 01 Jan 2022 00:00:00 +0100Variational Quantum Compressed Sensing for Joint User and Channel State Acquisition in Grant-Free Device Access Systems.https://doi.org/10.48550/arXiv.2205.08603Bryan 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.CoRRabs/2205.08603 (2022)]]>https://dblp.org/rec/journals/corr/abs-2205-08603Sat, 01 Jan 2022 00:00:00 +0100Learning to Learn Quantum Turbo Detection.https://doi.org/10.48550/arXiv.2205.08611Bryan Liu, Toshiaki Koike-Akino, Ye Wang, Kieran Parsons: Learning to Learn Quantum Turbo Detection.CoRRabs/2205.08611 (2022)]]>https://dblp.org/rec/journals/corr/abs-2205-08611Sat, 01 Jan 2022 00:00:00 +0100AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications.https://doi.org/10.48550/arXiv.2205.09115Toshiaki Koike-Akino, Pu Wang, Ye Wang: AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications.CoRRabs/2205.09115 (2022)]]>https://dblp.org/rec/journals/corr/abs-2205-09115Sat, 01 Jan 2022 00:00:00 +0100Adversarial Bi-Regressor Network for Domain Adaptive Regression.https://doi.org/10.48550/arXiv.2209.09943Haifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, Zhengming Ding: Adversarial Bi-Regressor Network for Domain Adaptive Regression.CoRRabs/2209.09943 (2022)]]>https://dblp.org/rec/journals/corr/abs-2209-09943Sat, 01 Jan 2022 00:00:00 +0100quEEGNet: Quantum AI for Biosignal Processing.https://doi.org/10.48550/arXiv.2210.00864Toshiaki Koike-Akino, Ye Wang: quEEGNet: Quantum AI for Biosignal Processing.CoRRabs/2210.00864 (2022)]]>https://dblp.org/rec/journals/corr/abs-2210-00864Sat, 01 Jan 2022 00:00:00 +0100AutoBayes: Automated Bayesian Graph Exploration for Nuisance- Robust Inference.https://doi.org/10.1109/ACCESS.2021.3064530Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus: AutoBayes: Automated Bayesian Graph Exploration for Nuisance- Robust Inference.IEEE Access9: 39955-39972 (2021)]]>https://dblp.org/rec/journals/access/DemirKWE21Fri, 01 Jan 2021 00:00:00 +0100Remaining Useful Life Estimation for LFP Cells in Second-Life Applications.https://doi.org/10.1109/TIM.2021.3055791Iván Sanz-Gorrachategui, Pablo Pastor-Flores, Milutin Pajovic, Ye Wang, Philip V. Orlik, Carlos Bernal Ruiz, Antonio Bono-Nuez, Jesús Sergio Artal-Sevil: Remaining Useful Life Estimation for LFP Cells in Second-Life Applications.IEEE Trans. Instrum. Meas.70: 1-10 (2021)]]>https://dblp.org/rec/journals/tim/Sanz-Gorrachategui21Fri, 01 Jan 2021 00:00:00 +0100Universal Physiological Representation Learning With Soft-Disentangled Rateless Autoencoders.https://doi.org/10.1109/JBHI.2021.3062335Mo Han, Ozan Özdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus: Universal Physiological Representation Learning With Soft-Disentangled Rateless Autoencoders.IEEE J. Biomed. Health Informatics25(8): 2928-2937 (2021)]]>https://dblp.org/rec/journals/titb/HanOKWE21Fri, 01 Jan 2021 00:00:00 +0100Zero-Multiplier Sparse DNN Equalization for Fiber-Optic QAM Systems with Probabilistic Amplitude Shaping.https://doi.org/10.1109/ECOC52684.2021.9605870Toshiaki Koike-Akino, Ye Wang, Keisuke Kojima, Kieran Parsons, Tsuyoshi Yoshida: Zero-Multiplier Sparse DNN Equalization for Fiber-Optic QAM Systems with Probabilistic Amplitude Shaping.ECOC2021: 1-4]]>https://dblp.org/rec/conf/ecoc/Koike-AkinoWKPY21Fri, 01 Jan 2021 00:00:00 +0100EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals.https://doi.org/10.1109/EMBC46164.2021.9630194Andac Demir, Toshiaki Koike-Akino, Ye Wang, Masaki Haruna, Deniz Erdogmus: EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals.EMBC2021: 1061-1067]]>https://dblp.org/rec/conf/embc/DemirKWHE21Fri, 01 Jan 2021 00:00:00 +0100Anomaly Detection and Diagnosis Using Pre-Processing and Time-Delay Autoencoder.https://doi.org/10.1109/ETFA45728.2021.9613574Bryan 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.ETFA2021: 1-8]]>https://dblp.org/rec/conf/etfa/LiuGKWKPOY21Fri, 01 Jan 2021 00:00:00 +0100Protograph-Based Design for QC Polar Codes.https://doi.org/10.1109/ISIT45174.2021.9517868Toshiaki Koike-Akino, Ye Wang: Protograph-Based Design for QC Polar Codes.ISIT2021: 593-598]]>https://dblp.org/rec/conf/isit/Koike-Akino021Fri, 01 Jan 2021 00:00:00 +0100Robust Machine Learning via Privacy/ Rate-Distortion Theory.https://doi.org/10.1109/ISIT45174.2021.9517751Ye Wang, Shuchin Aeron, Adnan Siraj Rakin, Toshiaki Koike-Akino, Pierre Moulin: Robust Machine Learning via Privacy/ Rate-Distortion Theory.ISIT2021: 1320-1325]]>https://dblp.org/rec/conf/isit/WangARKM21Fri, 01 Jan 2021 00:00:00 +0100Towards Universal Adversarial Examples and Defenses.https://doi.org/10.1109/ITW48936.2021.9611439Adnan Siraj Rakin, Ye Wang, Shuchin Aeron, Toshiaki Koike-Akino, Pierre Moulin, Kieran Parsons: Towards Universal Adversarial Examples and Defenses.ITW2021: 1-6]]>https://dblp.org/rec/conf/itw/RakinWAKMP21Fri, 01 Jan 2021 00:00:00 +0100Protograph-Based Design for QC Polar Codes.https://arxiv.org/abs/2102.12629Toshiaki Koike-Akino, Ye Wang: Protograph-Based Design for QC Polar Codes.CoRRabs/2102.12629 (2021)]]>https://dblp.org/rec/journals/corr/abs-2102-12629Fri, 01 Jan 2021 00:00:00 +0100EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals.https://arxiv.org/abs/2106.09135Andac Demir, Toshiaki Koike-Akino, Ye Wang, Masaki Haruna, Deniz Erdogmus: EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals.CoRRabs/2106.09135 (2021)]]>https://dblp.org/rec/journals/corr/abs-2106-09135Fri, 01 Jan 2021 00:00:00 +0100MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation.https://arxiv.org/abs/2111.01048Safa C. Medin, Bernhard Egger, Anoop Cherian, Ye Wang, Joshua B. Tenenbaum, Xiaoming Liu, Tim K. Marks: MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation.CoRRabs/2111.01048 (2021)]]>https://dblp.org/rec/journals/corr/abs-2111-01048Fri, 01 Jan 2021 00:00:00 +0100AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data.https://arxiv.org/abs/2112.09796Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus: AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data.CoRRabs/2112.09796 (2021)]]>https://dblp.org/rec/journals/corr/abs-2112-09796Fri, 01 Jan 2021 00:00:00 +0100Multi-Band Wi-Fi Sensing with Matched Feature Granularity.https://arxiv.org/abs/2112.14006Jianyuan Yu, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, R. Michael Buehrer: Multi-Band Wi-Fi Sensing with Matched Feature Granularity.CoRRabs/2112.14006 (2021)]]>https://dblp.org/rec/journals/corr/abs-2112-14006Fri, 01 Jan 2021 00:00:00 +0100Learning Invariant Representations From EEG via Adversarial Inference.https://doi.org/10.1109/ACCESS.2020.2971600Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus: Learning Invariant Representations From EEG via Adversarial Inference.IEEE Access8: 27074-27085 (2020)]]>https://dblp.org/rec/journals/access/OzdenizciWKE20Wed, 01 Jan 2020 00:00:00 +0100Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction.https://doi.org/10.1109/LSP.2020.3020215Mo 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)]]>https://dblp.org/rec/journals/spl/HanOWKE20Wed, 01 Jan 2020 00:00:00 +0100LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood.https://openaccess.thecvf.com/content_CVPR_2020/html/Kumar_LUVLi_Face_Alignment_Estimating_Landmarks_Location_Uncertainty_and_Visibility_Likelihood_CVPR_2020_paper.htmlAbhinav 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.CVPR2020: 8233-8243]]>https://dblp.org/rec/conf/cvpr/0004MM00CKL020Wed, 01 Jan 2020 00:00:00 +0100End-to-End Deep Learning for Phase Noise-Robust Multi-Dimensional Geometric Shaping.https://doi.org/10.1109/ECOC48923.2020.9333382Veeru 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.ECOC2020: 1-3]]>https://dblp.org/rec/conf/ecoc/TalrejaK0MKP20Wed, 01 Jan 2020 00:00:00 +0100Disentangled Adversarial Transfer Learning for Physiological Biosignals.https://doi.org/10.1109/EMBC44109.2020.9175233Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus: Disentangled Adversarial Transfer Learning for Physiological Biosignals.EMBC2020: 422-425]]>https://dblp.org/rec/conf/embc/HanOWKE20Wed, 01 Jan 2020 00:00:00 +0100Polar Coding with Chemical Reaction Networks for Molecular Communications.https://doi.org/10.1109/GLOBECOM42002.2020.9321980Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang: Polar Coding with Chemical Reaction Networks for Molecular Communications.GLOBECOM2020: 1-6]]>https://dblp.org/rec/conf/globecom/MatsumineK020Wed, 01 Jan 2020 00:00:00 +0100Human Pose and Seat Occupancy Classification with Commercial MMWave WiFi.https://doi.org/10.1109/GCWkshps50303.2020.9367535Jianyuan 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]]>https://dblp.org/rec/conf/globecom/YuWKWOS20Wed, 01 Jan 2020 00:00:00 +0100Learning to Modulate for Non-coherent MIMO.https://doi.org/10.1109/ICC40277.2020.9149438Ye Wang, Toshiaki Koike-Akino: Learning to Modulate for Non-coherent MIMO.ICC2020: 1-6]]>https://dblp.org/rec/conf/icc/0001K20Wed, 01 Jan 2020 00:00:00 +0100Stochastic Bottleneck: Rateless Auto-Encoder for Flexible Dimensionality Reduction.https://doi.org/10.1109/ISIT44484.2020.9174523Toshiaki Koike-Akino, Ye Wang: Stochastic Bottleneck: Rateless Auto-Encoder for Flexible Dimensionality Reduction.ISIT2020: 2735-2740]]>https://dblp.org/rec/conf/isit/Koike-Akino020Wed, 01 Jan 2020 00:00:00 +0100Variational Quantum Demodulation for Coherent Optical Multi-Dimensional QAM.https://ieeexplore.ieee.org/document/9082978Toshiaki Koike-Akino, Toshiki Matsumine, Ye Wang, David S. Millar, Keisuke Kojima, Kieran Parsons: Variational Quantum Demodulation for Coherent Optical Multi-Dimensional QAM.OFC2020: 1-3]]>https://dblp.org/rec/conf/ofc/Koike-AkinoM0MK30Wed, 01 Jan 2020 00:00:00 +0100Deep Neural Networks for Designing Integrated Photonics.https://ieeexplore.ieee.org/document/9083197Keisuke 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.OFC2020: 1-3]]>https://dblp.org/rec/conf/ofc/KojimaTKJT0PSK30Wed, 01 Jan 2020 00:00:00 +0100Generative Deep Learning Model for a Multi-Level Nano-Optic Broadband Power Splitter.https://ieeexplore.ieee.org/document/9083040Yingheng 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.OFC2020: 1-3]]>https://dblp.org/rec/conf/ofc/TangKKWWTJPQ30Wed, 01 Jan 2020 00:00:00 +0100FX-GAN: Self-Supervised GAN Learning via Feature Exchange.https://doi.org/10.1109/WACV45572.2020.9093525Rui Huang, Wenju Xu, Teng-Yok Lee, Anoop Cherian, Ye Wang, Tim K. Marks: FX-GAN: Self-Supervised GAN Learning via Feature Exchange.WACV2020: 3183-3191]]>https://dblp.org/rec/conf/wacv/HuangXLC0M20Wed, 01 Jan 2020 00:00:00 +0100LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood.https://arxiv.org/abs/2004.02980Abhinav 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.CoRRabs/2004.02980 (2020)]]>https://dblp.org/rec/journals/corr/abs-2004-02980Wed, 01 Jan 2020 00:00:00 +0100Disentangled Adversarial Transfer Learning for Physiological Biosignals.https://arxiv.org/abs/2004.08289Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus: Disentangled Adversarial Transfer Learning for Physiological Biosignals.CoRRabs/2004.08289 (2020)]]>https://dblp.org/rec/journals/corr/abs-2004-08289Wed, 01 Jan 2020 00:00:00 +0100Stochastic Bottleneck: Rateless Auto-Encoder for Flexible Dimensionality Reduction.https://arxiv.org/abs/2005.02870Toshiaki Koike-Akino, Ye Wang: Stochastic Bottleneck: Rateless Auto-Encoder for Flexible Dimensionality Reduction.CoRRabs/2005.02870 (2020)]]>https://dblp.org/rec/journals/corr/abs-2005-02870Wed, 01 Jan 2020 00:00:00 +0100AutoBayes: Automated Inference via Bayesian Graph Exploration for Nuisance-Robust Biosignal Analysis.https://arxiv.org/abs/2007.01255Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus: AutoBayes: Automated Inference via Bayesian Graph Exploration for Nuisance-Robust Biosignal Analysis.CoRRabs/2007.01255 (2020)]]>https://dblp.org/rec/journals/corr/abs-2007-01255Wed, 01 Jan 2020 00:00:00 +0100Robust Machine Learning via Privacy/Rate-Distortion Theory.https://arxiv.org/abs/2007.11693Ye Wang, Shuchin Aeron, Adnan Siraj Rakin, Toshiaki Koike-Akino, Pierre Moulin: Robust Machine Learning via Privacy/Rate-Distortion Theory.CoRRabs/2007.11693 (2020)]]>https://dblp.org/rec/journals/corr/abs-2007-11693Wed, 01 Jan 2020 00:00:00 +0100Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction.https://arxiv.org/abs/2008.11426Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus: Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction.CoRRabs/2008.11426 (2020)]]>https://dblp.org/rec/journals/corr/abs-2008-11426Wed, 01 Jan 2020 00:00:00 +0100Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders.https://arxiv.org/abs/2009.13453Mo Han, Ozan Özdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus: Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders.CoRRabs/2009.13453 (2020)]]>https://dblp.org/rec/journals/corr/abs-2009-13453Wed, 01 Jan 2020 00:00:00 +0100Adversarial Deep Learning in EEG Biometrics.https://doi.org/10.1109/LSP.2019.2906826Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus: Adversarial Deep Learning in EEG Biometrics.IEEE Signal Process. Lett.26(5): 710-714 (2019)]]>https://dblp.org/rec/journals/spl/OzdenizciWKE19Tue, 01 Jan 2019 00:00:00 +0100Privacy-Preserving Adversarial Networks.https://doi.org/10.1109/ALLERTON.2019.8919758Ardhendu Tripathy, Ye Wang, Prakash Ishwar: Privacy-Preserving Adversarial Networks.Allerton2019: 495-505]]>https://dblp.org/rec/conf/allerton/Tripathy0I19Tue, 01 Jan 2019 00:00:00 +0100Deep Learning for Synchronization and Channel Estimation in NB-IoT Random Access Channel.https://doi.org/10.1109/GLOBECOM38437.2019.9013510Mads 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.GLOBECOM2019: 1-7]]>https://dblp.org/rec/conf/globecom/JespersenPK0PO19Tue, 01 Jan 2019 00:00:00 +0100Deep Learning-Based Constellation Optimization for Physical Network Coding in Two-Way Relay Networks.https://doi.org/10.1109/ICC.2019.8761963Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang: Deep Learning-Based Constellation Optimization for Physical Network Coding in Two-Way Relay Networks.ICC2019: 1-6]]>https://dblp.org/rec/conf/icc/MatsumineKW19Tue, 01 Jan 2019 00:00:00 +0100Channel Decoding with Quantum Approximate Optimization Algorithm.https://doi.org/10.1109/ISIT.2019.8849710Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang: Channel Decoding with Quantum Approximate Optimization Algorithm.ISIT2019: 2574-2578]]>https://dblp.org/rec/conf/isit/MatsumineKW19Tue, 01 Jan 2019 00:00:00 +0100Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders.https://doi.org/10.1109/NER.2019.8716897Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus: Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders.NER2019: 207-210]]>https://dblp.org/rec/conf/ner/OzdenizciWKE19Tue, 01 Jan 2019 00:00:00 +0100Spatial Component-wise Convolutional Network (SCCNet) for Motor-Imagery EEG Classification.https://doi.org/10.1109/NER.2019.8716937Chun-Shu Wei, Toshiaki Koike-Akino, Ye Wang: Spatial Component-wise Convolutional Network (SCCNet) for Motor-Imagery EEG Classification.NER2019: 328-331]]>https://dblp.org/rec/conf/ner/WeiKW19Tue, 01 Jan 2019 00:00:00 +0100Nonbinary Polar Coding for Multilevel Modulation.https://ieeexplore.ieee.org/document/8696792Semih Cayci, Toshiaki Koike-Akino, Ye Wang: Nonbinary Polar Coding for Multilevel Modulation.OFC2019: 1-3]]>https://dblp.org/rec/conf/ofc/CayciK019Tue, 01 Jan 2019 00:00:00 +0100Hardware-Efficient Quantized Polar Decoding with Optimized Lookup Table.https://doi.org/10.23919/PS.2019.8817861Toshiaki Koike-Akino, Ye Wang, Semih Cayci, David S. Millar, Keisuke Kojima, Kieran Parsons: Hardware-Efficient Quantized Polar Decoding with Optimized Lookup Table.OECC/PSC2019: 1-3]]>https://dblp.org/rec/conf/ps/Koike-Akino0CMK19Tue, 01 Jan 2019 00:00:00 +0100Channel Decoding with Quantum Approximate Optimization Algorithm.http://arxiv.org/abs/1903.02537Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang: Channel Decoding with Quantum Approximate Optimization Algorithm.CoRRabs/1903.02537 (2019)]]>https://dblp.org/rec/journals/corr/abs-1903-02537Tue, 01 Jan 2019 00:00:00 +0100Polar Coding with Chemical Reaction Networks.http://arxiv.org/abs/1903.03709Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang: Polar Coding with Chemical Reaction Networks.CoRRabs/1903.03709 (2019)]]>https://dblp.org/rec/journals/corr/abs-1903-03709Tue, 01 Jan 2019 00:00:00 +0100Learning to Modulate for Non-coherent MIMO.http://arxiv.org/abs/1903.03711Ye Wang, Toshiaki Koike-Akino: Learning to Modulate for Non-coherent MIMO.CoRRabs/1903.03711 (2019)]]>https://dblp.org/rec/journals/corr/abs-1903-03711Tue, 01 Jan 2019 00:00:00 +0100Deep Learning-Based Constellation Optimization for Physical Network Coding in Two-Way Relay Networks.http://arxiv.org/abs/1903.03713Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang: Deep Learning-Based Constellation Optimization for Physical Network Coding in Two-Way Relay Networks.CoRRabs/1903.03713 (2019)]]>https://dblp.org/rec/journals/corr/abs-1903-03713Tue, 01 Jan 2019 00:00:00 +0100Adversarial Deep Learning in EEG Biometrics.http://arxiv.org/abs/1903.11673Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus: Adversarial Deep Learning in EEG Biometrics.CoRRabs/1903.11673 (2019)]]>https://dblp.org/rec/journals/corr/abs-1903-11673Tue, 01 Jan 2019 00:00:00 +0100Neural Turbo Equalization: Deep Learning for Fiber-Optic Nonlinearity Compensation.http://arxiv.org/abs/1911.10131Toshiaki Koike-Akino, Ye Wang, David S. Millar, Keisuke Kojima, Kieran Parsons: Neural Turbo Equalization: Deep Learning for Fiber-Optic Nonlinearity Compensation.CoRRabs/1911.10131 (2019)]]>https://dblp.org/rec/journals/corr/abs-1911-10131Tue, 01 Jan 2019 00:00:00 +0100Privacy-Utility Tradeoff for Applications Using Energy Disaggregation of Smart-Meter Data.https://doi.org/10.2197/ipsjjip.26.648Mitsuhiro Hattori, Takato Hirano, Nori Matsuda, Fumio Omatsu, Rina Shimizu, Ye Wang: Privacy-Utility Tradeoff for Applications Using Energy Disaggregation of Smart-Meter Data.J. Inf. Process.26: 648-661 (2018)]]>https://dblp.org/rec/journals/jip/HattoriHMOSW18Mon, 01 Jan 2018 00:00:00 +0100Translating sEMG signals to continuous hand poses using recurrent neural networks.https://doi.org/10.1109/BHI.2018.8333395Fernando Quivira, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus: Translating sEMG signals to continuous hand poses using recurrent neural networks.BHI2018: 166-169]]>https://dblp.org/rec/conf/bhi/QuiviraKWE18Mon, 01 Jan 2018 00:00:00 +0100EXIT Convergence Analysis of BICM-ID Based on High-Dimensional Modulation and Polar-TPC.https://doi.org/10.1109/ECOC.2018.8535499Toshiaki 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.ECOC2018: 1-3]]>https://dblp.org/rec/conf/ecoc/Koike-AkinoWKMP18Mon, 01 Jan 2018 00:00:00 +0100Turbo Product Codes with Irregular Polar Coding for High-Throughput Parallel Decoding in Wireless OFDM Transmission.https://doi.org/10.1109/ICC.2018.8422466Toshiaki Koike-Akino, Congzhe Cao, Ye Wang: Turbo Product Codes with Irregular Polar Coding for High-Throughput Parallel Decoding in Wireless OFDM Transmission.ICC2018: 1-7]]>https://dblp.org/rec/conf/icc/Koike-AkinoCW18Mon, 01 Jan 2018 00:00:00 +0100Irregular Polar Turbo Product Coding for High-Throughput Optical Interface.https://ieeexplore.ieee.org/document/8385945Toshiaki Koike-Akino, Congzhe Cao, Ye Wang, Keisuke Kojima, David S. Millar, Kieran Parsons: Irregular Polar Turbo Product Coding for High-Throughput Optical Interface.OFC2018: 1-3]]>https://dblp.org/rec/conf/ofc/Koike-AkinoC0KM18Mon, 01 Jan 2018 00:00:00 +0100Invariant Representations from Adversarially Censored Autoencoders.http://arxiv.org/abs/1805.08097Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus: Invariant Representations from Adversarially Censored Autoencoders.CoRRabs/1805.08097 (2018)]]>https://dblp.org/rec/journals/corr/abs-1805-08097Mon, 01 Jan 2018 00:00:00 +0100Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders.http://arxiv.org/abs/1812.06857Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus: Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders.CoRRabs/1812.06857 (2018)]]>https://dblp.org/rec/journals/corr/abs-1812-06857Mon, 01 Jan 2018 00:00:00 +0100Privacy-Utility Tradeoff for Applications Using Energy Disaggregation of Smart-Meter Data.https://doi.org/10.1007/978-3-319-59870-3_12Mitsuhiro Hattori, Takato Hirano, Nori Matsuda, Rina Shimizu, Ye Wang: Privacy-Utility Tradeoff for Applications Using Energy Disaggregation of Smart-Meter Data.ACISP (2)2017: 214-234]]>https://dblp.org/rec/conf/acisp/HattoriHMSW17Sun, 01 Jan 2017 00:00:00 +0100Irregular Polar Coding for Multi-Level Modulation in Complexity-Constrained Lightwave Systems.https://doi.org/10.1109/ECOC.2017.8345842Toshiaki Koike-Akino, Congzhe Cao, Ye Wang, Stark C. Draper, David S. Millar, Kieran Parsons, Keisuke Kojima, Milutin Pajovic, Lídia Galdino, Daniel J. Elson, Domaniç Lavery, Polina Bayvel: Irregular Polar Coding for Multi-Level Modulation in Complexity-Constrained Lightwave Systems.ECOC2017: 1-3]]>https://dblp.org/rec/conf/ecoc/Koike-AkinoCWDM17Sun, 01 Jan 2017 00:00:00 +0100Irregular Polar Coding for Massive MIMO Channels.https://doi.org/10.1109/GLOCOM.2017.8254937Congzhe Cao, Toshiaki Koike-Akino, Ye Wang, Stark C. Draper: Irregular Polar Coding for Massive MIMO Channels.GLOBECOM2017: 1-7]]>https://dblp.org/rec/conf/globecom/CaoKWD17Sun, 01 Jan 2017 00:00:00 +0100On methods for privacy-preserving energy disaggregation.https://doi.org/10.1109/ICASSP.2017.7953389Ye Wang, Nisarg Raval, Prakash Ishwar, Mitsuhiro Hattori, Takato Hirano, Nori Matsuda, Rina Shimizu: On methods for privacy-preserving energy disaggregation.ICASSP2017: 6404-6408]]>https://dblp.org/rec/conf/icassp/WangRIHHMS17Sun, 01 Jan 2017 00:00:00 +0100Bit-interleaved polar-coded OFDM for low-latency M2M wireless communications.https://doi.org/10.1109/ICC.2017.7996931Toshiaki Koike-Akino, Ye Wang, Stark C. Draper, Kenya Sugihara, Wataru Matsumoto: Bit-interleaved polar-coded OFDM for low-latency M2M wireless communications.ICC2017: 1-7]]>https://dblp.org/rec/conf/icc/Koike-AkinoWDSM17Sun, 01 Jan 2017 00:00:00 +0100Bit-interleaved polar-coded modulation for low-latency short-block transmission.https://ieeexplore.ieee.org/document/7937344Toshiaki Koike-Akino, Ye Wang, Stark C. Draper, Kenya Sugihara, Wataru Matsumoto, David S. Millar, Kieran Parsons, Keisuke Kojima: Bit-interleaved polar-coded modulation for low-latency short-block transmission.OFC2017: 1-3]]>https://dblp.org/rec/conf/ofc/Koike-Akino0DSM17Sun, 01 Jan 2017 00:00:00 +0100Privacy-Utility Tradeoffs under Constrained Data Release Mechanisms.http://arxiv.org/abs/1710.09295Ye Wang, Yuksel Ozan Basciftci, Prakash Ishwar: Privacy-Utility Tradeoffs under Constrained Data Release Mechanisms.CoRRabs/1710.09295 (2017)]]>https://dblp.org/rec/journals/corr/abs-1710-09295Sun, 01 Jan 2017 00:00:00 +0100Privacy-Preserving Adversarial Networks.http://arxiv.org/abs/1712.07008Ardhendu Tripathy, Ye Wang, Prakash Ishwar: Privacy-Preserving Adversarial Networks.CoRRabs/1712.07008 (2017)]]>https://dblp.org/rec/journals/corr/abs-1712-07008Sun, 01 Jan 2017 00:00:00 +0100High-accuracy user identification using EEG biometrics.https://doi.org/10.1109/EMBC.2016.7590835Toshiaki Koike-Akino, Ruhi Mahajan, Tim K. Marks, Ye Wang, Shinji Watanabe, Oncel Tuzel, Philip V. Orlik: High-accuracy user identification using EEG biometrics.EMBC2016: 854-858]]>https://dblp.org/rec/conf/embc/Koike-AkinoMMWW16Fri, 01 Jan 2016 00:00:00 +0100On privacy-utility tradeoffs for constrained data release mechanisms.https://doi.org/10.1109/ITA.2016.7888175Yuksel Ozan Basciftci, Ye Wang, Prakash Ishwar: On privacy-utility tradeoffs for constrained data release mechanisms.ITA2016: 1-6]]>https://dblp.org/rec/conf/ita/BasciftciWI16Fri, 01 Jan 2016 00:00:00 +0100An elementary completeness proof for secure two-party computation primitives.https://doi.org/10.1109/ITW.2014.6970886Ye Wang, Prakash Ishwar, Shantanu Rane: An elementary completeness proof for secure two-party computation primitives.ITW2014: 521-525]]>https://dblp.org/rec/conf/itw/WangIR14Wed, 01 Jan 2014 00:00:00 +0100Secure Two-Party Sampling Primitives are either Useless or Complete.http://arxiv.org/abs/1402.4360Ye Wang, Prakash Ishwar, Shantanu Rane: Secure Two-Party Sampling Primitives are either Useless or Complete.CoRRabs/1402.4360 (2014)]]>https://dblp.org/rec/journals/corr/WangIR14Wed, 01 Jan 2014 00:00:00 +0100Secure Biometrics: Concepts, Authentication Architectures, and Challenges.https://doi.org/10.1109/MSP.2013.2261691Shantanu Rane, Ye Wang, Stark C. Draper, Prakash Ishwar: Secure Biometrics: Concepts, Authentication Architectures, and Challenges.IEEE Signal Process. Mag.30(5): 51-64 (2013)]]>https://dblp.org/rec/journals/spm/RaneWDI13Tue, 01 Jan 2013 00:00:00 +0100On unconditionally secure multiparty computation for realizing correlated equilibria in games.https://doi.org/10.1109/GlobalSIP.2013.6736860Ye Wang, Shantanu Rane, Prakash Ishwar: On unconditionally secure multiparty computation for realizing correlated equilibria in games.GlobalSIP2013: 241-244]]>https://dblp.org/rec/conf/globalsip/WangRI13Tue, 01 Jan 2013 00:00:00 +0100Information-theoretically secure three-party computation with One corrupted party.https://doi.org/10.1109/ISIT.2013.6620808Ye Wang, Prakash Ishwar, Shantanu Rane: Information-theoretically secure three-party computation with One corrupted party.ISIT2013: 3160-3164]]>https://dblp.org/rec/conf/isit/WangIR13Tue, 01 Jan 2013 00:00:00 +0100On the Benefits of Sampling in Privacy Preserving Statistical Analysis on Distributed Databases.http://arxiv.org/abs/1304.4613Bing-Rong Lin, Ye Wang, Shantanu Rane: On the Benefits of Sampling in Privacy Preserving Statistical Analysis on Distributed Databases.CoRRabs/1304.4613 (2013)]]>https://dblp.org/rec/journals/corr/abs-1304-4613Tue, 01 Jan 2013 00:00:00 +0100Secure Biometrics: Concepts, Authentication Architectures and Challenges.http://arxiv.org/abs/1305.4832Shantanu Rane, Ye Wang, Stark C. Draper, Prakash Ishwar: Secure Biometrics: Concepts, Authentication Architectures and Challenges.CoRRabs/1305.4832 (2013)]]>https://dblp.org/rec/journals/corr/abs-1305-4832Tue, 01 Jan 2013 00:00:00 +0100On Unconditionally Secure Multiparty Computation for Realizing Correlated Equilibria in Games.http://arxiv.org/abs/1311.1490Ye Wang, Shantanu Rane, Prakash Ishwar: On Unconditionally Secure Multiparty Computation for Realizing Correlated Equilibria in Games.CoRRabs/1311.1490 (2013)]]>https://dblp.org/rec/journals/corr/WangRI13Tue, 01 Jan 2013 00:00:00 +0100A Theoretical Analysis of Authentication, Privacy, and Reusability Across Secure Biometric Systems.https://doi.org/10.1109/TIFS.2012.2210215Ye Wang, Shantanu Rane, Stark C. Draper, Prakash Ishwar: A Theoretical Analysis of Authentication, Privacy, and Reusability Across Secure Biometric Systems.IEEE Trans. Inf. Forensics Secur.7(6): 1825-1840 (2012)]]>https://dblp.org/rec/journals/tifs/WangRDI12Sun, 01 Jan 2012 00:00:00 +0100A framework for privacy preserving statistical analysis on distributed databases.https://doi.org/10.1109/WIFS.2012.6412626Bing-Rong Lin, Ye Wang, Shantanu Rane: A framework for privacy preserving statistical analysis on distributed databases.WIFS2012: 61-66]]>https://dblp.org/rec/conf/wifs/LinWR12Sun, 01 Jan 2012 00:00:00 +0100Information-Theoretically Secure Three-Party Computation with One Active Adversary.http://arxiv.org/abs/1206.2669Ye Wang, Prakash Ishwar, Shantanu Rane: Information-Theoretically Secure Three-Party Computation with One Active Adversary.CoRRabs/1206.2669 (2012)]]>https://dblp.org/rec/journals/corr/abs-1206-2669Sun, 01 Jan 2012 00:00:00 +0100On unconditionally secure multi-party sampling from scratch1.https://doi.org/10.1109/ISIT.2011.6033855Ye Wang, Prakash Ishwar: On unconditionally secure multi-party sampling from scratch1.ISIT2011: 1782-1786]]>https://dblp.org/rec/conf/isit/WangI11Sat, 01 Jan 2011 00:00:00 +0100An information-theoretic analysis of revocability and reusability in secure biometrics.https://doi.org/10.1109/ITA.2011.5743600Ye Wang, Shantanu Rane, Stark C. Draper, Prakash Ishwar: An information-theoretic analysis of revocability and reusability in secure biometrics.ITA2011: 331-340]]>https://dblp.org/rec/conf/ita/WangRDI11Sat, 01 Jan 2011 00:00:00 +0100A Theoretical Analysis of Authentication, Privacy and Reusability Across Secure Biometric Systems.http://arxiv.org/abs/1112.5630Ye Wang, Shantanu Rane, Stark C. Draper, Prakash Ishwar: A Theoretical Analysis of Authentication, Privacy and Reusability Across Secure Biometric Systems.CoRRabs/1112.5630 (2011)]]>https://dblp.org/rec/journals/corr/abs-1112-5630Sat, 01 Jan 2011 00:00:00 +0100On unconditionally secure computation with vanishing communication cost.https://doi.org/10.1109/ALLERTON.2010.5707010Ye Wang, Shantanu Rane, Wei Sun, Prakash Ishwar: On unconditionally secure computation with vanishing communication cost.Allerton2010: 944-950]]>https://dblp.org/rec/conf/allerton/WangRSI10Fri, 01 Jan 2010 00:00:00 +0100On Unconditionally Secure Computation with Vanishing Communication Cost.http://arxiv.org/abs/1010.0670Ye Wang, Shantanu Rane, Wei Sun, Prakash Ishwar: On Unconditionally Secure Computation with Vanishing Communication Cost.CoRRabs/1010.0670 (2010)]]>https://dblp.org/rec/journals/corr/abs-1010-0670Fri, 01 Jan 2010 00:00:00 +0100Distributed Field Estimation With Randomly Deployed, Noisy, Binary Sensors.https://doi.org/10.1109/TSP.2008.2008535Ye Wang, Prakash Ishwar: Distributed Field Estimation With Randomly Deployed, Noisy, Binary Sensors.IEEE Trans. Signal Process.57(3): 1177-1189 (2009)]]>https://dblp.org/rec/journals/tsp/WangI09Thu, 01 Jan 2009 00:00:00 +0100Bootstrapped oblivious transfer and secure two-party function computation.https://doi.org/10.1109/ISIT.2009.5205940Ye Wang, Prakash Ishwar: Bootstrapped oblivious transfer and secure two-party function computation.ISIT2009: 1303-1307]]>https://dblp.org/rec/conf/isit/WangI09Thu, 01 Jan 2009 00:00:00 +0100Bootstrapped Oblivious Transfer and Secure Two-Party Function Computation.http://arxiv.org/abs/0902.0822Ye Wang, Prakash Ishwar: Bootstrapped Oblivious Transfer and Secure Two-Party Function Computation.CoRRabs/0902.0822 (2009)]]>https://dblp.org/rec/journals/corr/abs-0902-0822Thu, 01 Jan 2009 00:00:00 +0100One-Bit Distributed Sensing and Coding for Field Estimation in Sensor Networks.https://doi.org/10.1109/TSP.2008.926192Ye Wang, Prakash Ishwar, Venkatesh Saligrama: One-Bit Distributed Sensing and Coding for Field Estimation in Sensor Networks.IEEE Trans. Signal Process.56(9): 4433-4445 (2008)]]>https://dblp.org/rec/journals/tsp/WangIS08Tue, 01 Jan 2008 00:00:00 +0100On Non-Parametric Field Estimation using Randomly Deployed, Noisy, Binary Sensors.https://doi.org/10.1109/ISIT.2007.4557304Ye Wang, Prakash Ishwar: On Non-Parametric Field Estimation using Randomly Deployed, Noisy, Binary Sensors.ISIT2007: 686-690]]>https://dblp.org/rec/conf/isit/WangI07Mon, 01 Jan 2007 00:00:00 +0100On Non-Parametric Field Estimation using Randomly Deployed, Noisy, Binary Sensors.http://arxiv.org/abs/0706.0685Ye Wang, Prakash Ishwar: On Non-Parametric Field Estimation using Randomly Deployed, Noisy, Binary Sensors.CoRRabs/0706.0685 (2007)]]>https://dblp.org/rec/journals/corr/abs-0706-0685Mon, 01 Jan 2007 00:00:00 +0100One-bit Distributed Sensing and Coding for Field Estimation in Sensor Networks.http://arxiv.org/abs/cs/0701196Ye Wang, Prakash Ishwar, Venkatesh Saligrama: One-bit Distributed Sensing and Coding for Field Estimation in Sensor Networks.CoRRabs/cs/0701196 (2007)]]>https://dblp.org/rec/journals/corr/abs-cs-0701196Mon, 01 Jan 2007 00:00:00 +0100Delayed Sequential Coding of Correlated Sources.http://arxiv.org/abs/cs/0701197Nan Ma, Ye Wang, Prakash Ishwar: Delayed Sequential Coding of Correlated Sources.CoRRabs/cs/0701197 (2007)]]>https://dblp.org/rec/journals/corr/abs-cs-0701197Mon, 01 Jan 2007 00:00:00 +0100