Ye Wang

Orcid: 0000-0001-5220-1830

Affiliations:
  • 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 86 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Improving adversarial robustness by learning shared information.
Pattern Recognit., 2023

Stabilizing Subject Transfer in EEG Classification with Divergence Estimation.
CoRR, 2023

Joint Software-Hardware Design for Green AI.
Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

AutoHLS: Learning to Accelerate Design Space Exploration for HLS Designs.
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

DeepEAD: Explainable Anomaly Detection from System Logs.
Proceedings of the IEEE International Conference on Communications, 2023

Spectrum Sharing-Inspired Safe Motion Planning.
Proceedings of the IEEE International Conference on Communications, 2023

mmWave Wi-Fi Trajectory Estimation with Continuous-Time Neural Dynamic Learning.
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
Multi-Band Wi-Fi Sensing With Matched Feature Granularity.
IEEE Internet Things J., 2022

Learning to Learn Quantum Turbo Detection.
CoRR, 2022

AutoVAE: Mismatched Variational Autoencoder with Irregular Posterior-Prior Pairing.
Proceedings of the IEEE International Symposium on Information Theory, 2022

Adversarial Bi-Regressor Network for Domain Adaptive Regression.
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

Quantum Transfer Learning for Wi-Fi Sensing.
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

quEEGNet: Quantum AI for Biosignal Processing.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation.
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

Remaining Useful Life Estimation for LFP Cells in Second-Life Applications.
IEEE Trans. Instrum. Meas., 2021

AutoBayes: Automated Bayesian Graph Exploration for Nuisance- Robust Inference.
IEEE Access, 2021

Towards Universal Adversarial Examples and Defenses.
Proceedings of the IEEE Information Theory Workshop, 2021

Robust Machine Learning via Privacy/ Rate-Distortion Theory.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Protograph-Based Design for QC Polar Codes.
Proceedings of the IEEE International Symposium on Information Theory, 2021

Anomaly Detection and Diagnosis Using Pre-Processing and Time-Delay Autoencoder.
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

Learning Invariant Representations From EEG via Adversarial Inference.
IEEE Access, 2020

FX-GAN: Self-Supervised GAN Learning via Feature Exchange.
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

Deep Neural Networks for Designing Integrated Photonics.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020

Variational Quantum Demodulation for Coherent Optical Multi-Dimensional QAM.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020

Stochastic Bottleneck: Rateless Auto-Encoder for Flexible Dimensionality Reduction.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Learning to Modulate for Non-coherent MIMO.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Human Pose and Seat Occupancy Classification with Commercial MMWave WiFi.
Proceedings of the IEEE Globecom Workshops, 2020

Polar Coding with Chemical Reaction Networks for Molecular Communications.
Proceedings of the IEEE Global Communications Conference, 2020

Disentangled Adversarial Transfer Learning for Physiological Biosignals.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

End-to-End Deep Learning for Phase Noise-Robust Multi-Dimensional Geometric Shaping.
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
Adversarial Deep Learning in EEG Biometrics.
IEEE Signal Process. Lett., 2019

Neural Turbo Equalization: Deep Learning for Fiber-Optic Nonlinearity Compensation.
CoRR, 2019

Polar Coding with Chemical Reaction Networks.
CoRR, 2019

Hardware-Efficient Quantized Polar Decoding with Optimized Lookup Table.
Proceedings of the 2019 24th OptoElectronics and Communications Conference (OECC) and 2019 International Conference on Photonics in Switching and Computing (PSC), 2019

Nonbinary Polar Coding for Multilevel Modulation.
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

Channel Decoding with Quantum Approximate Optimization Algorithm.
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

Privacy-Preserving Adversarial Networks.
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

Invariant Representations from Adversarially Censored Autoencoders.
CoRR, 2018

Irregular Polar Turbo Product Coding for High-Throughput Optical Interface.
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

Translating sEMG signals to continuous hand poses using recurrent neural networks.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

2017
Privacy-Utility Tradeoffs under Constrained Data Release Mechanisms.
CoRR, 2017

Bit-interleaved polar-coded modulation for low-latency short-block transmission.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2017

Bit-interleaved polar-coded OFDM for low-latency M2M wireless communications.
Proceedings of the IEEE International Conference on Communications, 2017

On methods for privacy-preserving energy disaggregation.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Irregular Polar Coding for Massive MIMO Channels.
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
On privacy-utility tradeoffs for constrained data release mechanisms.
Proceedings of the 2016 Information Theory and Applications Workshop, 2016

High-accuracy user identification using EEG biometrics.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2014
Secure Two-Party Sampling Primitives are either Useless or Complete.
CoRR, 2014

An elementary completeness proof for secure two-party computation primitives.
Proceedings of the 2014 IEEE Information Theory Workshop, 2014

2013
Secure Biometrics: Concepts, Authentication Architectures, and Challenges.
IEEE Signal Process. Mag., 2013

On the Benefits of Sampling in Privacy Preserving Statistical Analysis on Distributed Databases
CoRR, 2013

Information-theoretically secure three-party computation with One corrupted party.
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

Information-Theoretically Secure Three-Party Computation with One Active Adversary
CoRR, 2012

A framework for privacy preserving statistical analysis on distributed databases.
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

On unconditionally secure multi-party sampling from scratch1.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

2010
On unconditionally secure computation with vanishing communication cost.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009
Distributed Field Estimation With Randomly Deployed, Noisy, Binary Sensors.
IEEE Trans. Signal Process., 2009

Bootstrapped oblivious transfer and secure two-party function computation.
Proceedings of the IEEE International Symposium on Information Theory, 2009

2008
One-Bit Distributed Sensing and Coding for Field Estimation in Sensor Networks.
IEEE Trans. Signal Process., 2008

2007
Delayed Sequential Coding of Correlated Sources
CoRR, 2007

On Non-Parametric Field Estimation using Randomly Deployed, Noisy, Binary Sensors.
Proceedings of the IEEE International Symposium on Information Theory, 2007


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