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ORCIDYe Wang 0001
Person information
- affiliation: Mitsubishi Electric Research Laboratories, Cambridge, MA, USA
- affiliation (former): Boston University, Department of Electrical and Computer Engineering, MA, USA
Other persons with the same name
- Ye Wang — disambiguation page
- Ye Wang 0002
![[0000-0002-0464-9136]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0464-9136")
— Harbin Institute of Technology, Communications Engineering Research Center, Shenzhen, China (and 2 more) - Ye Wang 0003 — Huazhong University of Science and Technology, School of Electronic Information and Communications, Wuhan, China
- Ye Wang 0004 — State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, China
- Ye Wang 0005 — University of Melbourne, Australia (and 2 more)
- Ye Wang 0006 — Chongqing University of Posts and Telecommunications, College of Computer Science and Technology, Chongqing, China (and 1 more)
- Ye Wang 0007 — National University of Singapore, School of Computing, Singapore (and 1 more)
- Ye Wang 0008 — Beijing University of Posts and Telecommunications, Key Lab of Universal Wireless Communications, Beijing, China
- Ye Wang 0009 — Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics and Physics, Changchun, China
- Ye Wang 0010 — Ministry of Science and Technology, Development and Service Center for Science and Technology Talents, Beijing, China (and 1 more)
- Ye Wang 0011 — Communication University of China, Neuroscience and Intelligent Media Institute, Beijing, China
- Ye Wang 0012 — Zhejiang Gongshang University, School of Computer Science and Information Engineering, Hangzhou, China (and 1 more)
- Ye Wang 0013 — University of Southern California, Department of Electrical Engineering, Los Angeles, CA, USA
- Ye Wang 0014 — University of Texas at Austin, Department of Electrical and Computer Engineering, Austin, TX, USA
- Ye Wang 0015 — National University of Defense Technology, College of Computer, Changsha, China (and 1 more)
- Ye Wang 0016 — Harbin Engineering University, College of Mathematical Sciences, China
Other persons with a similar name
- Yewang Chen (aka: Ye-Wang Chen)
- Chengye Wang (aka: Cheng-Ye Wang)
- Kanye Ye Wang
- Sheng-Ye Wang
- Tianye Wang (aka: Tian-Ye Wang) — disambiguation page
- Wei-Ye Wang
- Ye-Kui Wang
- Ye-Yi Wang — Microsoft (and 1 more)
- Ye Diana Wang — George Mason University, Fairfax VA, USA
- Wang Ye
- show all similar names
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2020 – today
- 2024
[j14]Iván 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 Access 12: 147798-147808 (2024)- [c67]Farshud 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. CCTA 2024: 414-419 - [c66]Ankush 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. CCTA 2024: 547-554 - [c65]Rahul Dey, Bernhard Egger, Vishnu Naresh Boddeti, Ye Wang, Tim K. Marks:
CoLa-SDF: Controllable Latent StyleSDF for Disentangled 3D Face Generation. CVPR Workshops 2024: 2852-2861 - [c64]Xiangyu 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 Workshops 2024: 8050-8055 - [c63]Haomiao 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. CVPR 2024: 9015-9025 - [i52]Andrew 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? CoRR abs/2402.09540 (2024) - [i51]Md Rubel Ahmed, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang:
AutoHLS: Learning to Accelerate Design Space Exploration for HLS Designs. CoRR abs/2403.10686 (2024) - [i50]Xiangyu 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. CoRR abs/2403.11887 (2024) - [i49]Haomiao 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. CoRR abs/2404.16306 (2024) - [i48]Jing Liu, Andrew Lowy, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang:
Efficient Differentially Private Fine-Tuning of Diffusion Models. CoRR abs/2406.05257 (2024) - [i47]Keshav Bimbraw, Ye Wang, Jing Liu, Toshiaki Koike-Akino:
GPT Sonograpy: Hand Gesture Decoding from Forearm Ultrasound Images via VLM. CoRR abs/2407.10870 (2024) - [i46]Keshav Bimbraw, Jing Liu, Ye Wang, Toshiaki Koike-Akino:
Random Channel Ablation for Robust Hand Gesture Classification with Multimodal Biosignals. CoRR abs/2407.10874 (2024) - [i45]Ryo Hase, Ye Wang, Toshiaki Koike-Akino, Jing Liu, Kieran Parsons:
Variational Randomized Smoothing for Sample-Wise Adversarial Robustness. CoRR abs/2407.11844 (2024) - [i44]Zhuohang Li, Andrew Lowy, Jing Liu, Toshiaki Koike-Akino, Kieran Parsons, Bradley A. Malin, Ye Wang:
Analyzing Inference Privacy Risks Through Gradients in Machine Learning. CoRR abs/2408.16913 (2024) - [i43]Md. 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. CoRR abs/2408.17354 (2024) - [i42]Zhuohang Li, Andrew Lowy, Jing Liu, Toshiaki Koike-Akino, Bradley A. Malin, Kieran Parsons, Ye Wang:
Exploring User-level Gradient Inversion with a Diffusion Prior. CoRR abs/2409.07291 (2024) - 2023
- [j13]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) - [c62]Alessandro 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 - [c61]Cristian 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. ICASSP 2023: 1-5 - [c60]Xinda Wang, Kyeong Jin Kim, Ye Wang, Toshiaki Koike-Akino, Kieran Parsons:
DeepEAD: Explainable Anomaly Detection from System Logs. ICC 2023: 771-776 - [c59]Kyeong Jin Kim, Abraham P. Vinod, Jianlin Guo, Vedang M. Deshpande, Kieran Parsons, Ye Wang:
Spectrum Sharing-Inspired Safe Motion Planning. ICC Workshops 2023: 819-824 - [c58]Nithin 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. ICCV 2023: 20793-20803 - [c57]Md Rubel Ahmed, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang:
AutoHLS: Learning to Accelerate Design Space Exploration for HLS Designs. MWSCAS 2023: 491-495 - [c56]Md Rubel Ahmed, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang:
Joint Software-Hardware Design for Green AI. MWSCAS 2023: 1108-1112 - [d1]Safa C. Medin, Bernhard Egger, Anoop Cherian, Ye Wang, Joshua B. Tenenbaum, Xiaoming Liu, Tim K. Marks:
MOST-GAN Pre-trained Model. Zenodo, 2023
- [i41]Nithin 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. CoRR abs/2310.00224 (2023) - [i40]Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Jing Liu, Kieran Parsons, Yunus Bicer, Deniz Erdogmus:
Stabilizing Subject Transfer in EEG Classification with Divergence Estimation. CoRR abs/2310.08762 (2023) - 2022
- [j12]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) - [c55]Safa 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. AAAI 2022: 1962-1971 - [c54]Toshiaki Koike-Akino, Ye Wang:
quEEGNet: Quantum AI for Biosignal Processing. BHI 2022: 1-4 - [c53]Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals. EMBC 2022: 30-35 - [c52]Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data. EMBC 2022: 3159-3165 - [c51]Toshiaki Koike-Akino, Pu Wang, Ye Wang:
Quantum Transfer Learning for Wi-Fi Sensing. ICC 2022: 654-659 - [c50]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 - [c49]Toshiaki Koike-Akino, Pu Wang, Ye Wang:
AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications. SAM 2022: 360-364 - [c48]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 - [c47]Toshiaki Koike-Akino, Ye Wang:
AutoVAE: Mismatched Variational Autoencoder with Irregular Posterior-Prior Pairing. ISIT 2022: 1689-1694 - [i39]Toshiaki Koike-Akino, Pu Wang, Ye Wang:
Quantum Transfer Learning for Wi-Fi Sensing. CoRR abs/2205.08590 (2022) - [i38]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) - [i37]Bryan Liu, Toshiaki Koike-Akino, Ye Wang, Kieran Parsons:
Learning to Learn Quantum Turbo Detection. CoRR abs/2205.08611 (2022) - [i36]Toshiaki Koike-Akino, Pu Wang, Ye Wang:
AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications. CoRR abs/2205.09115 (2022) - [i35]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) - [i34]Toshiaki Koike-Akino, Ye Wang:
quEEGNet: Quantum AI for Biosignal Processing. CoRR abs/2210.00864 (2022) - 2021
- [j11]Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
AutoBayes: Automated Bayesian Graph Exploration for Nuisance- Robust Inference. IEEE Access 9: 39955-39972 (2021) - [j10]Iván 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) - [j9]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) - [c46]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 - [c45]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 - [c44]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 - [c43]Toshiaki Koike-Akino, Ye Wang:
Protograph-Based Design for QC Polar Codes. ISIT 2021: 593-598 - [c42]Ye Wang, Shuchin Aeron, Adnan Siraj Rakin, Toshiaki Koike-Akino, Pierre Moulin:
Robust Machine Learning via Privacy/ Rate-Distortion Theory. ISIT 2021: 1320-1325 - [c41]Adnan Siraj Rakin, Ye Wang, Shuchin Aeron, Toshiaki Koike-Akino, Pierre Moulin, Kieran Parsons:
Towards Universal Adversarial Examples and Defenses. ITW 2021: 1-6 - [i33]Toshiaki Koike-Akino, Ye Wang:
Protograph-Based Design for QC Polar Codes. CoRR abs/2102.12629 (2021) - [i32]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) - [i31]Safa 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. CoRR abs/2111.01048 (2021) - [i30]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) - [i29]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
- [j8]Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Learning Invariant Representations From EEG via Adversarial Inference. IEEE Access 8: 27074-27085 (2020) - [j7]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) - [c40]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 - [c39]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 - [c38]Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Disentangled Adversarial Transfer Learning for Physiological Biosignals. EMBC 2020: 422-425 - [c37]Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang:
Polar Coding with Chemical Reaction Networks for Molecular Communications. GLOBECOM 2020: 1-6 - [c36]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 - [c35]Ye Wang, Toshiaki Koike-Akino:
Learning to Modulate for Non-coherent MIMO. ICC 2020: 1-6 - [c34]Toshiaki Koike-Akino, Ye Wang:
Stochastic Bottleneck: Rateless Auto-Encoder for Flexible Dimensionality Reduction. ISIT 2020: 2735-2740 - [c33]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 - [c32]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 - [c31]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 - [c30]Rui Huang, Wenju Xu, Teng-Yok Lee, Anoop Cherian, Ye Wang, Tim K. Marks:
FX-GAN: Self-Supervised GAN Learning via Feature Exchange. WACV 2020: 3183-3191 - [i28]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) - [i27]Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Disentangled Adversarial Transfer Learning for Physiological Biosignals. CoRR abs/2004.08289 (2020) - [i26]Toshiaki Koike-Akino, Ye Wang:
Stochastic Bottleneck: Rateless Auto-Encoder for Flexible Dimensionality Reduction. CoRR abs/2005.02870 (2020) - [i25]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) - [i24]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) - [i23]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) - [i22]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)
2010 – 2019
- 2019
- [j6]Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Adversarial Deep Learning in EEG Biometrics. IEEE Signal Process. Lett. 26(5): 710-714 (2019) - [c29]Ardhendu Tripathy, Ye Wang, Prakash Ishwar:
Privacy-Preserving Adversarial Networks. Allerton 2019: 495-505 - [c28]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 - [c27]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 - [c26]Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang:
Channel Decoding with Quantum Approximate Optimization Algorithm. ISIT 2019: 2574-2578 - [c25]Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders. NER 2019: 207-210 - [c24]Chun-Shu Wei, Toshiaki Koike-Akino, Ye Wang:
Spatial Component-wise Convolutional Network (SCCNet) for Motor-Imagery EEG Classification. NER 2019: 328-331 - [c23]Semih Cayci, Toshiaki Koike-Akino, Ye Wang:
Nonbinary Polar Coding for Multilevel Modulation. OFC 2019: 1-3 - [c22]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 - [i21]Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang:
Channel Decoding with Quantum Approximate Optimization Algorithm. CoRR abs/1903.02537 (2019) - [i20]Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang:
Polar Coding with Chemical Reaction Networks. CoRR abs/1903.03709 (2019) - [i19]Ye Wang, Toshiaki Koike-Akino:
Learning to Modulate for Non-coherent MIMO. CoRR abs/1903.03711 (2019) - [i18]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) - [i17]Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Adversarial Deep Learning in EEG Biometrics. CoRR abs/1903.11673 (2019) - [i16]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
- [j5]Mitsuhiro 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) - [c21]Fernando Quivira, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus:
Translating sEMG signals to continuous hand poses using recurrent neural networks. BHI 2018: 166-169 - [c20]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 - [c19]Toshiaki Koike-Akino, Congzhe Cao, Ye Wang:
Turbo Product Codes with Irregular Polar Coding for High-Throughput Parallel Decoding in Wireless OFDM Transmission. ICC 2018: 1-7 - [c18]Toshiaki Koike-Akino, Congzhe Cao, Ye Wang, Keisuke Kojima, David S. Millar, Kieran Parsons:
Irregular Polar Turbo Product Coding for High-Throughput Optical Interface. OFC 2018: 1-3 - [i15]Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Invariant Representations from Adversarially Censored Autoencoders. CoRR abs/1805.08097 (2018) - [i14]Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus:
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders. CoRR abs/1812.06857 (2018) - 2017
- [c17]Mitsuhiro 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 - [c16]Toshiaki 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. ECOC 2017: 1-3 - [c15]Congzhe Cao, Toshiaki Koike-Akino, Ye Wang, Stark C. Draper:
Irregular Polar Coding for Massive MIMO Channels. GLOBECOM 2017: 1-7 - [c14]Ye Wang, Nisarg Raval, Prakash Ishwar, Mitsuhiro Hattori, Takato Hirano, Nori Matsuda, Rina Shimizu:
On methods for privacy-preserving energy disaggregation. ICASSP 2017: 6404-6408 - [c13]Toshiaki Koike-Akino, Ye Wang, Stark C. Draper, Kenya Sugihara, Wataru Matsumoto:
Bit-interleaved polar-coded OFDM for low-latency M2M wireless communications. ICC 2017: 1-7 - [c12]Toshiaki 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. OFC 2017: 1-3 - [i13]Ye Wang, Yuksel Ozan Basciftci, Prakash Ishwar:
Privacy-Utility Tradeoffs under Constrained Data Release Mechanisms. CoRR abs/1710.09295 (2017) - [i12]Ardhendu Tripathy, Ye Wang, Prakash Ishwar:
Privacy-Preserving Adversarial Networks. CoRR abs/1712.07008 (2017) - 2016
- [c11]Toshiaki Koike-Akino, Ruhi Mahajan, Tim K. Marks, Ye Wang, Shinji Watanabe, Oncel Tuzel, Philip V. Orlik:
High-accuracy user identification using EEG biometrics. EMBC 2016: 854-858 - [c10]Yuksel Ozan Basciftci, Ye Wang, Prakash Ishwar:
On privacy-utility tradeoffs for constrained data release mechanisms. ITA 2016: 1-6 - 2014
- [c9]Ye Wang, Prakash Ishwar, Shantanu Rane:
An elementary completeness proof for secure two-party computation primitives. ITW 2014: 521-525 - [i11]Ye Wang, Prakash Ishwar, Shantanu Rane:
Secure Two-Party Sampling Primitives are either Useless or Complete. CoRR abs/1402.4360 (2014) - 2013
- [j4]Shantanu Rane, Ye Wang, Stark C. Draper, Prakash Ishwar:
Secure Biometrics: Concepts, Authentication Architectures, and Challenges. IEEE Signal Process. Mag. 30(5): 51-64 (2013) - [c8]Ye Wang, Shantanu Rane, Prakash Ishwar:
On unconditionally secure multiparty computation for realizing correlated equilibria in games. GlobalSIP 2013: 241-244 - [c7]Ye Wang, Prakash Ishwar, Shantanu Rane:
Information-theoretically secure three-party computation with One corrupted party. ISIT 2013: 3160-3164 - [i10]Bing-Rong Lin, Ye Wang, Shantanu Rane:
On the Benefits of Sampling in Privacy Preserving Statistical Analysis on Distributed Databases. CoRR abs/1304.4613 (2013) - [i9]Shantanu Rane, Ye Wang, Stark C. Draper, Prakash Ishwar:
Secure Biometrics: Concepts, Authentication Architectures and Challenges. CoRR abs/1305.4832 (2013) - [i8]Ye Wang, Shantanu Rane, Prakash Ishwar:
On Unconditionally Secure Multiparty Computation for Realizing Correlated Equilibria in Games. CoRR abs/1311.1490 (2013) - 2012
- [j3]Ye 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) - [c6]Bing-Rong Lin, Ye Wang, Shantanu Rane:
A framework for privacy preserving statistical analysis on distributed databases. WIFS 2012: 61-66 - [i7]Ye Wang, Prakash Ishwar, Shantanu Rane:
Information-Theoretically Secure Three-Party Computation with One Active Adversary. CoRR abs/1206.2669 (2012) - 2011
- [c5]Ye Wang, Prakash Ishwar:
On unconditionally secure multi-party sampling from scratch1. ISIT 2011: 1782-1786 - [c4]Ye Wang, Shantanu Rane, Stark C. Draper, Prakash Ishwar:
An information-theoretic analysis of revocability and reusability in secure biometrics. ITA 2011: 331-340 - [i6]Ye Wang, Shantanu Rane, Stark C. Draper, Prakash Ishwar:
A Theoretical Analysis of Authentication, Privacy and Reusability Across Secure Biometric Systems. CoRR abs/1112.5630 (2011) - 2010
- [c3]Ye Wang, Shantanu Rane, Wei Sun, Prakash Ishwar:
On unconditionally secure computation with vanishing communication cost. Allerton 2010: 944-950 - [i5]Ye Wang, Shantanu Rane, Wei Sun, Prakash Ishwar:
On Unconditionally Secure Computation with Vanishing Communication Cost. CoRR abs/1010.0670 (2010)
2000 – 2009
- 2009
- [j2]Ye Wang, Prakash Ishwar:
Distributed Field Estimation With Randomly Deployed, Noisy, Binary Sensors. IEEE Trans. Signal Process. 57(3): 1177-1189 (2009) - [c2]Ye Wang, Prakash Ishwar:
Bootstrapped oblivious transfer and secure two-party function computation. ISIT 2009: 1303-1307 - [i4]Ye Wang, Prakash Ishwar:
Bootstrapped Oblivious Transfer and Secure Two-Party Function Computation. CoRR abs/0902.0822 (2009) - 2008
- [j1]Ye 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) - 2007
- [c1]Ye Wang, Prakash Ishwar:
On Non-Parametric Field Estimation using Randomly Deployed, Noisy, Binary Sensors. ISIT 2007: 686-690 - [i3]Ye Wang, Prakash Ishwar:
On Non-Parametric Field Estimation using Randomly Deployed, Noisy, Binary Sensors. CoRR abs/0706.0685 (2007) - [i2]Ye Wang, Prakash Ishwar, Venkatesh Saligrama:
One-bit Distributed Sensing and Coding for Field Estimation in Sensor Networks. CoRR abs/cs/0701196 (2007) - [i1]Nan Ma, Ye Wang, Prakash Ishwar:
Delayed Sequential Coding of Correlated Sources. CoRR abs/cs/0701197 (2007)
Coauthor Index
[c64] [c63] [i52] [i51] [i50] [i49] [i48] [i47] [i46] [i45] [i44] [i43] [i42] [j13] [c62] [c61] [c60] [c58] [c57] [c56] [i41] [i40] [j12] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [i39] [i38] [i37] [i36] [i35] [i34] [j11] [j9] [c46] [c45] [c44] [c43] [c42] [c41] [i33] [i32] [i30] [i29] [j8] [j7] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [j6] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [i21] [i20] [i19] [i18] [i17] [i16] [c21] [c20] [c19] [c18] [i15] [i14] [c16] [c15] [c13] [c12] [c11]
Pu Wang 0004
aka: Pu (Perry) Wang
aka: Pu (Perry) Wang
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