Ye Wang

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 98

Top Venues

Publications

Keshav Bimbraw, Ye Wang, Jing Liu, Toshiaki Koike-Akino
GPT Sonograpy: Hand Gesture Decoding from Forearm Ultrasound Images via VLM. CoRR (2024)
Md Rubel Ahmed, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang
AutoHLS: Learning to Accelerate Design Space Exploration for HLS Designs. CoRR (2024)
Jing Liu, Andrew Lowy, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang
Efficient Differentially Private Fine-Tuning of Diffusion Models. CoRR (2024)
Ryo Hase, Ye Wang, Toshiaki Koike-Akino, Jing Liu, Kieran Parsons
Variational Randomized Smoothing for Sample-Wise Adversarial Robustness. CoRR (2024)
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 (2024)
Keshav Bimbraw, Jing Liu, Ye Wang, Toshiaki Koike-Akino
Random Channel Ablation for Robust Hand Gesture Classification with Multimodal Biosignals. CoRR (2024)
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)
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 (2023)
Md Rubel Ahmed, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang
Joint Software-Hardware Design for Green AI. MWSCAS (2023)
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)
Xinda Wang, Kyeong Jin Kim, Ye Wang, Toshiaki Koike-Akino, Kieran Parsons
DeepEAD: Explainable Anomaly Detection from System Logs. ICC (2023)
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 (2023)
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 (2023)
Kyeong Jin Kim, Abraham P. Vinod, Jianlin Guo, Vedang Deshpande, Kieran Parsons, Ye Wang
Spectrum Sharing-Inspired Safe Motion Planning. ICC Workshops (2023)
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)
Md Rubel Ahmed, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang
AutoHLS: Learning to Accelerate Design Space Exploration for HLS Designs. MWSCAS (2023)
Toshiaki Koike-Akino, Ye Wang
AutoVAE: Mismatched Variational Autoencoder with Irregular Posterior-Prior Pairing. ISIT (2022)
Bryan Liu, Toshiaki Koike-Akino, Ye Wang, Kieran Parsons
Learning to Learn Quantum Turbo Detection. CoRR (2022)
Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus
EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals. EMBC (2022)
Toshiaki Koike-Akino, Pu Wang, Ye Wang
Quantum Transfer Learning for Wi-Fi Sensing. ICC (2022)
Toshiaki Koike-Akino, Ye Wang
quEEGNet: Quantum AI for Biosignal Processing. BHI (2022)
Toshiaki Koike-Akino, Pu Wang, Ye Wang
AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications. CoRR (2022)
Toshiaki Koike-Akino, Pu Wang, Ye Wang
AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications. SAM (2022)
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 (2022)
Haifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, Zhengming Ding
Adversarial Bi-Regressor Network for Domain Adaptive Regression. CoRR (2022)
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) (2022)
Toshiaki Koike-Akino, Ye Wang
quEEGNet: Quantum AI for Biosignal Processing. CoRR (2022)
Toshiaki Koike-Akino, Pu Wang, Ye Wang
Quantum Transfer Learning for Wi-Fi Sensing. CoRR (2022)
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)
Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data. EMBC (2022)
Haifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, Zhengming Ding
Adversarial Bi-Regressor Network for Domain Adaptive Regression. IJCAI (2022)
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)
Adnan Siraj Rakin, Ye Wang, Shuchin Aeron, Toshiaki Koike-Akino, Pierre Moulin, Kieran Parsons
Towards Universal Adversarial Examples and Defenses. ITW (2021)
Bryan Liu, Jianlin Guo, Toshiaki Koike-Akino, Ye Wang, Kyeong Jin Kim, Kieran Parsons, Philip Orlik, Jinhong Yuan
Anomaly Detection and Diagnosis Using Pre-Processing and Time-Delay Autoencoder. ETFA (2021)
Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus
AutoBayes: Automated Bayesian Graph Exploration for Nuisance- Robust Inference. IEEE Access 9 (2021)
Andac Demir, Toshiaki Koike-Akino, Ye Wang, Masaki Haruna, Deniz Erdogmus
EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals. EMBC (2021)
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) (2021)
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 (2021)
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)
Toshiaki Koike-Akino, Ye Wang
Protograph-Based Design for QC Polar Codes. ISIT (2021)
Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data. CoRR (2021)
Ye Wang, Shuchin Aeron, Adnan Siraj Rakin, Toshiaki Koike-Akino, Pierre Moulin
Robust Machine Learning via Privacy/ Rate-Distortion Theory. ISIT (2021)
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 (2021)
Andac Demir, Toshiaki Koike-Akino, Ye Wang, Masaki Haruna, Deniz Erdogmus
EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals. CoRR (2021)
Toshiaki Koike-Akino, Ye Wang
Protograph-Based Design for QC Polar Codes. CoRR (2021)
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 (2021)
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)
Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
Disentangled Adversarial Transfer Learning for Physiological Biosignals. EMBC (2020)
Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang
Polar Coding with Chemical Reaction Networks for Molecular Communications. GLOBECOM (2020)
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)
Ye Wang, Toshiaki Koike-Akino
Learning to Modulate for Non-coherent MIMO. ICC (2020)
Mo Han, Ozan Özdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus
Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders. CoRR (2020)
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)
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)
Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
Learning Invariant Representations From EEG via Adversarial Inference. IEEE Access 8 (2020)
Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
Disentangled Adversarial Transfer Learning for Physiological Biosignals. CoRR (2020)
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)
Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus
AutoBayes: Automated Inference via Bayesian Graph Exploration for Nuisance-Robust Biosignal Analysis. CoRR (2020)
Toshiaki Koike-Akino, Ye Wang
Stochastic Bottleneck: Rateless Auto-Encoder for Flexible Dimensionality Reduction. CoRR (2020)
Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction. CoRR (2020)
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 (2020)
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)
Toshiaki Koike-Akino, Ye Wang
Stochastic Bottleneck: Rateless Auto-Encoder for Flexible Dimensionality Reduction. ISIT (2020)
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 (2020)
Ye Wang, Shuchin Aeron, Adnan Siraj Rakin, Toshiaki Koike-Akino, Pierre Moulin
Robust Machine Learning via Privacy/Rate-Distortion Theory. CoRR (2020)
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)
Ye Wang, Toshiaki Koike-Akino
Learning to Modulate for Non-coherent MIMO. CoRR (2019)
Chun-Shu Wei, Toshiaki Koike-Akino, Ye Wang
Spatial Component-wise Convolutional Network (SCCNet) for Motor-Imagery EEG Classification. NER (2019)
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)
Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang
Polar Coding with Chemical Reaction Networks. CoRR (2019)
Semih Cayci, Toshiaki Koike-Akino, Ye Wang
Nonbinary Polar Coding for Multilevel Modulation. OFC (2019)
Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
Adversarial Deep Learning in EEG Biometrics. IEEE Signal Process. Lett. 26 (5) (2019)
Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang
Deep Learning-Based Constellation Optimization for Physical Network Coding in Two-Way Relay Networks. ICC (2019)
Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang
Channel Decoding with Quantum Approximate Optimization Algorithm. ISIT (2019)
Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders. NER (2019)
Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang
Channel Decoding with Quantum Approximate Optimization Algorithm. CoRR (2019)
Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
Adversarial Deep Learning in EEG Biometrics. CoRR (2019)
Ardhendu Tripathy, Ye Wang, Prakash Ishwar
Privacy-Preserving Adversarial Networks. Allerton (2019)
Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang
Deep Learning-Based Constellation Optimization for Physical Network Coding in Two-Way Relay Networks. CoRR (2019)
Toshiaki Koike-Akino, Ye Wang, David S. Millar, Keisuke Kojima, Kieran Parsons
Neural Turbo Equalization: Deep Learning for Fiber-Optic Nonlinearity Compensation. CoRR (2019)
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)
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 (2018)
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)
Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders. CoRR (2018)
Fernando Quivira, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus
Translating sEMG signals to continuous hand poses using recurrent neural networks. BHI (2018)
Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
Invariant Representations from Adversarially Censored Autoencoders. CoRR (2018)
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)
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)
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)
Congzhe Cao, Toshiaki Koike-Akino, Ye Wang, Stark C. Draper
Irregular Polar Coding for Massive MIMO Channels. GLOBECOM (2017)
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)
Ye Wang, Yuksel Ozan Basciftci, Prakash Ishwar
Privacy-Utility Tradeoffs under Constrained Data Release Mechanisms. CoRR (2017)
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)
Ye Wang, Nisarg Raval, Prakash Ishwar, Mitsuhiro Hattori, Takato Hirano, Nori Matsuda, Rina Shimizu
On methods for privacy-preserving energy disaggregation. ICASSP (2017)
Ardhendu Tripathy, Ye Wang, Prakash Ishwar
Privacy-Preserving Adversarial Networks. CoRR (2017)
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)
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)
Yuksel Ozan Basciftci, Ye Wang, Prakash Ishwar
On privacy-utility tradeoffs for constrained data release mechanisms. ITA (2016)
Ye Wang, Prakash Ishwar, Shantanu Rane
Secure Two-Party Sampling Primitives are either Useless or Complete. CoRR (2014)
Ye Wang, Prakash Ishwar, Shantanu Rane
An elementary completeness proof for secure two-party computation primitives. ITW (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ye Wang