Ye Wang
Orcid: 0000-0001-5220-1830Affiliations:
- Mitsubishi Electric Research Laboratories, Cambridge, MA, USA
- Boston University, Department of Electrical and Computer Engineering, MA, USA (former)
According to our database1,
Ye Wang
authored at least 105 papers
between 2007 and 2024.
Collaborative distances:
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Bibliography
2024
Object Trajectory Estimation With Continuous-Time Neural Dynamic Learning of Millimeter-Wave Wi-Fi.
IEEE J. Sel. Top. Signal Process., July, 2024
Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Why Does Differential Privacy with Large Epsilon Defend Against Practical Membership Inference Attacks?
CoRR, 2024
Remaining Useful Life Estimation of Used Li-Ion Cells With Deep Learning Algorithms Without First Life Information.
IEEE Access, 2024
Random Channel Ablation for Robust Hand Gesture Classification with Multimodal Biosignals.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Bayesian Forecasting with Deep Generative Disturbance Models in Stochastic MPC for Building Energy Systems.
Proceedings of the IEEE Conference on Control Technology and Applications, 2024
Assessing Building Control Performance Using Physics-Based Simulation Models and Deep Generative Networks.
Proceedings of the IEEE Conference on Control Technology and Applications, 2024
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024
2023
Pattern Recognit., 2023
CoRR, 2023
Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023
Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023
Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Synthesizing Building Operation Data with Generative Models: VAEs, GANs, or Something In Between?
Proceedings of the Companion Proceedings of the 14th ACM International Conference on Future Energy Systems, 2023
2022
IEEE Internet Things J., 2022
Proceedings of the IEEE International Symposium on Information Theory, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications.
Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022
Variational Quantum Compressed Sensing for Joint User and Channel State Acquisition in Grant-Free Device Access Systems.
Proceedings of the IEEE International Conference on Communications, 2022
Proceedings of the IEEE International Conference on Communications, 2022
AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Universal Physiological Representation Learning With Soft-Disentangled Rateless Autoencoders.
IEEE J. Biomed. Health Informatics, 2021
IEEE Trans. Instrum. Meas., 2021
IEEE Access, 2021
Proceedings of the IEEE Information Theory Workshop, 2021
Proceedings of the IEEE International Symposium on Information Theory, 2021
Proceedings of the IEEE International Symposium on Information Theory, 2021
Proceedings of the 26th IEEE International Conference on Emerging Technologies and Factory Automation, 2021
EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Zero-Multiplier Sparse DNN Equalization for Fiber-Optic QAM Systems with Probabilistic Amplitude Shaping.
Proceedings of the European Conference on Optical Communication, 2021
2020
Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction.
IEEE Signal Process. Lett., 2020
AutoBayes: Automated Inference via Bayesian Graph Exploration for Nuisance-Robust Biosignal Analysis.
CoRR, 2020
IEEE Access, 2020
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Generative Deep Learning Model for a Multi-Level Nano-Optic Broadband Power Splitter.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020
Proceedings of the IEEE International Symposium on Information Theory, 2020
Proceedings of the 2020 IEEE International Conference on Communications, 2020
Proceedings of the IEEE Globecom Workshops, 2020
Proceedings of the IEEE Global Communications Conference, 2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Proceedings of the European Conference on Optical Communications, 2020
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
CoRR, 2019
Proceedings of the 2019 24th OptoElectronics and Communications Conference (OECC) and 2019 International Conference on Photonics in Switching and Computing (PSC), 2019
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2019
Spatial Component-wise Convolutional Network (SCCNet) for Motor-Imagery EEG Classification.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
Proceedings of the IEEE International Symposium on Information Theory, 2019
Deep Learning-Based Constellation Optimization for Physical Network Coding in Two-Way Relay Networks.
Proceedings of the 2019 IEEE International Conference on Communications, 2019
Deep Learning for Synchronization and Channel Estimation in NB-IoT Random Access Channel.
Proceedings of the 2019 IEEE Global Communications Conference, 2019
Proceedings of the 57th Annual Allerton Conference on Communication, 2019
2018
Privacy-Utility Tradeoff for Applications Using Energy Disaggregation of Smart-Meter Data.
J. Inf. Process., 2018
Proceedings of the Optical Fiber Communications Conference and Exposition, 2018
Turbo Product Codes with Irregular Polar Coding for High-Throughput Parallel Decoding in Wireless OFDM Transmission.
Proceedings of the 2018 IEEE International Conference on Communications, 2018
EXIT Convergence Analysis of BICM-ID Based on High-Dimensional Modulation and Polar-TPC.
Proceedings of the European Conference on Optical Communication, 2018
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018
2017
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2017
Proceedings of the IEEE International Conference on Communications, 2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 2017 IEEE Global Communications Conference, 2017
Irregular Polar Coding for Multi-Level Modulation in Complexity-Constrained Lightwave Systems.
Proceedings of the European Conference on Optical Communication, 2017
Privacy-Utility Tradeoff for Applications Using Energy Disaggregation of Smart-Meter Data.
Proceedings of the Information Security and Privacy - 22nd Australasian Conference, 2017
2016
Proceedings of the 2016 Information Theory and Applications Workshop, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2014
Proceedings of the 2014 IEEE Information Theory Workshop, 2014
2013
IEEE Signal Process. Mag., 2013
On the Benefits of Sampling in Privacy Preserving Statistical Analysis on Distributed Databases
CoRR, 2013
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013
On unconditionally secure multiparty computation for realizing correlated equilibria in games.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013
2012
A Theoretical Analysis of Authentication, Privacy, and Reusability Across Secure Biometric Systems.
IEEE Trans. Inf. Forensics Secur., 2012
CoRR, 2012
Proceedings of the 2012 IEEE International Workshop on Information Forensics and Security, 2012
2011
An information-theoretic analysis of revocability and reusability in secure biometrics.
Proceedings of the Information Theory and Applications Workshop, 2011
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011
2010
Proceedings of the 48th Annual Allerton Conference on Communication, 2010
2009
IEEE Trans. Signal Process., 2009
Proceedings of the IEEE International Symposium on Information Theory, 2009
2008
IEEE Trans. Signal Process., 2008
2007
Proceedings of the IEEE International Symposium on Information Theory, 2007