Ye Wang - RankMe

155 papers A* 9A 2B 14C 1Misc 4Journal 80Unranked 45

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Amplification Effects in Test-Time Reinforcement Learning: Safety and Reasoning Vulnerabilities. CoRR Vanshaj Khattar, Md Rafi ur Rashid, Moumita Choudhury, Jing Liu, Toshiaki Koike-Akino, Ming Jin, Ye Wang
2026	A*	`conf`	Chain-of-Thought Driven Adversarial Scenario Extrapolation for Robust Language Models. AAAI Md. Rafi Ur Rashid, Vishnu Asutosh Dasu, Ye Wang, Gang Tan, Shagufta Mehnaz
2026	J	`jnl`	Directional Embedding Smoothing for Robust Vision Language Models. CoRR Ye Wang, Jing Liu, Toshiaki Koike-Akino
2026	J	`jnl`	Embedding Morphology into Transformers for Cross-Robot Policy Learning. CoRR Kei Suzuki, Jing Liu, Ye Wang, Chiori Hori, Matthew Brand, Diego Romeres, Toshiaki Koike-Akino
2026	—	`conf`	Evaluating Security Policy Compliance in Infrastructure as Code Generated by Large Language Models. ISDFS Ryo Hase, Ye Wang, Toshiaki Koike-Akino, Jing Liu, Kieran Parsons, Jumpei Hato
2026	A*	`conf`	LatentLLM: Activation-Aware Transform to Multi-Head Latent Attention. AAAI Toshiaki Koike-Akino, Xiangyu Chen, Jing Liu, Ye Wang, Pu Perry Wang, Matthew Brand
2026	J	`jnl`	TTQ: Activation-Aware Test-Time Quantization to Accelerate LLM Inference On The Fly. CoRR Toshiaki Koike-Akino, Jing Liu, Ye Wang
2025	J	`jnl`	AWP: Activation-Aware Weight Pruning and Quantization with Projected Gradient Descent. CoRR Jing Liu, Toshiaki Koike-Akino, Ye Wang, Hassan Mansour, Matthew Brand
2025	A*	`conf`	Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage. AAAI Md. Rafi Ur Rashid, Jing Liu, Toshiaki Koike-Akino, Ye Wang, Shagufta Mehnaz
2025	J	`jnl`	LatentLLM: Attention-Aware Joint Tensor Compression. CoRR Toshiaki Koike-Akino, Xiangyu Chen, Jing Liu, Ye Wang, Pu Wang, Matthew Brand
2025	J	`jnl`	Probabilistic Forecasting for Building Energy Systems using Time-Series Foundation Models. CoRR Young Jin Park, François G. Germain, Jing Liu, Ye Wang, Toshiaki Koike-Akino, Gordon Wichern, Navid Azizan, Christopher R. Laughman, Ankush Chakrabarty
2025	J	`jnl`	Smoothed Embeddings for Robust Language Models. CoRR Ryo Hase, Md. Rafi Ur Rashid, Ashley Lewis, Jing Liu, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang
2025	J	`jnl`	Trust Me, I Can Handle It: Self-Generated Adversarial Scenario Extrapolation for Robust Language Models. CoRR Md. Rafi Ur Rashid, Vishnu Asutosh Dasu, Ye Wang, Gang Tan, Shagufta Mehnaz
2025	J	`jnl`	TuneComp: Joint Fine-tuning and Compression for Large Foundation Models. CoRR Xiangyu Chen, Jing Liu, Ye Wang, Matthew Brand, Pu Wang, Toshiaki Koike-Akino
2025	J	`jnl`	Winning Big with Small Models: Knowledge Distillation vs. Self-Training for Reducing Hallucination in QA Agents. CoRR Ashley Lewis, Michael White, Jing Liu, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang
2025	J	`jnl`	μ-MoE: Test-Time Pruning as Micro-Grained Mixture-of-Experts. CoRR Toshiaki Koike-Akino, Jing Liu, Ye Wang
2024	A*	`conf`	Analyzing Inference Privacy Risks Through Gradients In Machine Learning. CCS Zhuohang Li, Andrew Lowy, Jing Liu, Toshiaki Koike-Akino, Kieran Parsons, Bradley A. Malin, Ye Wang
2024	J	`jnl`	Analyzing Inference Privacy Risks Through Gradients in Machine Learning. CoRR Zhuohang Li, Andrew Lowy, Jing Liu, Toshiaki Koike-Akino, Kieran Parsons, Bradley A. Malin, Ye Wang
2024	—	`conf`	Assessing Building Control Performance Using Physics-Based Simulation Models and Deep Generative Networks. CCTA Ankush Chakrabarty, Luigi Vanfretti, Wei-Ting Tang, Joel A. Paulson, Sicheng Zhan, Scott A. Bortoff, Vedang M. Deshpande, Ye Wang, Christopher R. Laughman
2024	J	`jnl`	AutoHLS: Learning to Accelerate Design Space Exploration for HLS Designs. CoRR Md Rubel Ahmed, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang
2024	—	`conf`	Bayesian Forecasting with Deep Generative Disturbance Models in Stochastic MPC for Building Energy Systems. CCTA Farshud Sorourifar, Joel A. Paulson, Ye Wang, Rien Quirynen, Christopher R. Laughman, Ankush Chakrabarty
2024	—	`conf`	CoLa-SDF: Controllable Latent StyleSDF for Disentangled 3D Face Generation. CVPR Workshops Rahul Dey, Bernhard Egger, Vishnu Naresh Boddeti, Ye Wang, Tim K. Marks
2024	J	`jnl`	Efficient Differentially Private Fine-Tuning of Diffusion Models. CoRR Jing Liu, Andrew Lowy, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang
2024	J	`jnl`	Exploring User-level Gradient Inversion with a Diffusion Prior. CoRR Zhuohang Li, Andrew Lowy, Jing Liu, Toshiaki Koike-Akino, Bradley A. Malin, Kieran Parsons, Ye Wang
2024	J	`jnl`	Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage. CoRR Md. Rafi Ur Rashid, Jing Liu, Toshiaki Koike-Akino, Shagufta Mehnaz, Ye Wang
2024	J	`jnl`	GPT Sonograpy: Hand Gesture Decoding from Forearm Ultrasound Images via VLM. CoRR Keshav Bimbraw, Ye Wang, Jing Liu, Toshiaki Koike-Akino
2024	J	`jnl`	Object Trajectory Estimation With Continuous-Time Neural Dynamic Learning of Millimeter-Wave Wi-Fi. IEEE J. Sel. Top. Signal Process. Cristian J. Vaca-Rubio, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Petros Boufounos, Petar Popovski
2024	J	`jnl`	Quantum Diffusion Models for Few-Shot Learning. CoRR Ruhan Wang, Ye Wang, Jing Liu, Toshiaki Koike-Akino
2024	—	`conf`	Random Channel Ablation for Robust Hand Gesture Classification with Multimodal Biosignals. EMBC Keshav Bimbraw, Jing Liu, Ye Wang, Toshiaki Koike-Akino
2024	J	`jnl`	Random Channel Ablation for Robust Hand Gesture Classification with Multimodal Biosignals. CoRR Keshav Bimbraw, Jing Liu, Ye Wang, Toshiaki Koike-Akino
2024	J	`jnl`	Remaining Useful Life Estimation of Used Li-Ion Cells With Deep Learning Algorithms Without First Life Information. IEEE Access Iván Sanz-Gorrachategui, Ye Wang, Alejandro Guillén-Asensio, Antonio Bono-Nuez, Bonifacio Martín-del-Brío, Philip V. Orlik, Pablo Pastor-Flores
2024	—	`conf`	SuperLoRA: Parameter-Efficient Unified Adaptation for Large Vision Models. CVPR Workshops Xiangyu Chen, Jing Liu, Ye Wang, Pu Perry Wang, Matthew Brand, Guanghui Wang, Toshiaki Koike-Akino
2024	A	`conf`	SuperLoRA: Parameter-Efficient Unified Adaptation of Large Foundation Models. BMVC Xiangyu Chen, Jing Liu, Ye Wang, Pu Perry Wang, Matthew Brand, Guanghui Wang, Toshiaki Koike-Akino
2024	J	`jnl`	SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer Attention Modules. CoRR Xiangyu Chen, Jing Liu, Ye Wang, Pu Perry Wang, Matthew Brand, Guanghui Wang, Toshiaki Koike-Akino
2024	A*	`conf`	TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models. CVPR Haomiao Ni, Bernhard Egger, Suhas Lohit, Anoop Cherian, Ye Wang, Toshiaki Koike-Akino, Sharon X. Huang, Tim K. Marks
2024	J	`jnl`	TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models. CoRR Haomiao Ni, Bernhard Egger, Suhas Lohit, Anoop Cherian, Ye Wang, Toshiaki Koike-Akino, Sharon X. Huang, Tim K. Marks
2024	J	`jnl`	Variational Randomized Smoothing for Sample-Wise Adversarial Robustness. CoRR Ryo Hase, Ye Wang, Toshiaki Koike-Akino, Jing Liu, Kieran Parsons
2024	J	`jnl`	Why Does Differential Privacy with Large Epsilon Defend Against Practical Membership Inference Attacks? CoRR Andrew Lowy, Zhuohang Li, Jing Liu, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang
2023	—	`conf`	AutoHLS: Learning to Accelerate Design Space Exploration for HLS Designs. MWSCAS Md Rubel Ahmed, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang
2023	—	`conf`	DeepEAD: Explainable Anomaly Detection from System Logs. ICC Xinda Wang, Kyeong Jin Kim, Ye Wang, Toshiaki Koike-Akino, Kieran Parsons
2023	J	`jnl`	Improving adversarial robustness by learning shared information. Pattern Recognit. Xi Yu, Niklas Smedemark-Margulies, Shuchin Aeron, Toshiaki Koike-Akino, Pierre Moulin, Matthew Brand, Kieran Parsons, Ye Wang
2023	—	`conf`	Joint Software-Hardware Design for Green AI. MWSCAS Md Rubel Ahmed, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang
2023	—	`conf`	Spectrum Sharing-Inspired Safe Motion Planning. ICC Workshops Kyeong Jin Kim, Abraham P. Vinod, Jianlin Guo, Vedang M. Deshpande, Kieran Parsons, Ye Wang
2023	J	`jnl`	Stabilizing Subject Transfer in EEG Classification with Divergence Estimation. CoRR Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Jing Liu, Kieran Parsons, Yunus Bicer, Deniz Erdogmus
2023	A*	`conf`	Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis. ICCV Nithin Gopalakrishnan Nair, Anoop Cherian, Suhas Lohit, Ye Wang, Toshiaki Koike-Akino, Vishal M. Patel, Tim K. Marks
2023	J	`jnl`	Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis. CoRR Nithin Gopalakrishnan Nair, Anoop Cherian, Suhas Lohit, Ye Wang, Toshiaki Koike-Akino, Vishal M. Patel, Tim K. Marks
2023	—	`conf`	Synthesizing Building Operation Data with Generative Models: VAEs, GANs, or Something In Between? e-Energy (Companion) Alessandro Salatiello, Ye Wang, Gordon Wichern, Toshiaki Koike-Akino, Yoshihiro Ohta, Yosuke Kaneko, Christopher R. Laughman, Ankush Chakrabarty
2023	Misc	`conf`	mmWave Wi-Fi Trajectory Estimation with Continuous-Time Neural Dynamic Learning. ICASSP Cristian J. Vaca-Rubio, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Petros Boufounos, Petar Popovski
2022	A*	`conf`	Adversarial Bi-Regressor Network for Domain Adaptive Regression. IJCAI Haifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, Zhengming Ding
2022	J	`jnl`	Adversarial Bi-Regressor Network for Domain Adaptive Regression. CoRR Haifeng Xia, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, Zhengming Ding
2022	—	`conf`	AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications. SAM Toshiaki Koike-Akino, Pu Wang, Ye Wang
2022	J	`jnl`	AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications. CoRR Toshiaki Koike-Akino, Pu Wang, Ye Wang
2022	—	`conf`	AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data. EMBC Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2022	B	`conf`	AutoVAE: Mismatched Variational Autoencoder with Irregular Posterior-Prior Pairing. ISIT Toshiaki Koike-Akino, Ye Wang
2022	—	`conf`	EEG-GAT: Graph Attention Networks for Classification of Electroencephalogram (EEG) Signals. EMBC Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus
2022	J	`jnl`	Learning to Learn Quantum Turbo Detection. CoRR Bryan Liu, Toshiaki Koike-Akino, Ye Wang, Kieran Parsons
2022	A*	`conf`	MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation. AAAI Safa C. Medin, Bernhard Egger, Anoop Cherian, Ye Wang, Joshua B. Tenenbaum, Xiaoming Liu, Tim K. Marks
2022	J	`jnl`	Multi-Band Wi-Fi Sensing With Matched Feature Granularity. IEEE Internet Things J. Jianyuan Yu, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, R. Michael Buehrer
2022	—	`conf`	Quantum Transfer Learning for Wi-Fi Sensing. ICC Toshiaki Koike-Akino, Pu Wang, Ye Wang
2022	J	`jnl`	Quantum Transfer Learning for Wi-Fi Sensing. CoRR Toshiaki Koike-Akino, Pu Wang, Ye Wang
2022	—	`conf`	Variational Quantum Compressed Sensing for Joint User and Channel State Acquisition in Grant-Free Device Access Systems. ICC Bryan Liu, Toshiaki Koike-Akino, Ye Wang, Kieran Parsons
2022	J	`jnl`	Variational Quantum Compressed Sensing for Joint User and Channel State Acquisition in Grant-Free Device Access Systems. CoRR Bryan Liu, Toshiaki Koike-Akino, Ye Wang, Kieran Parsons
2022	—	`conf`	quEEGNet: Quantum AI for Biosignal Processing. BHI Toshiaki Koike-Akino, Ye Wang
2022	J	`jnl`	quEEGNet: Quantum AI for Biosignal Processing. CoRR Toshiaki Koike-Akino, Ye Wang
2021	C	`conf`	Anomaly Detection and Diagnosis Using Pre-Processing and Time-Delay Autoencoder. ETFA Bryan Liu, Jianlin Guo, Toshiaki Koike-Akino, Ye Wang, Kyeong Jin Kim, Kieran Parsons, Philip V. Orlik, Jinhong Yuan
2021	J	`jnl`	AutoBayes: Automated Bayesian Graph Exploration for Nuisance- Robust Inference. IEEE Access Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus
2021	J	`jnl`	AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data. CoRR Niklas Smedemark-Margulies, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2021	—	`conf`	EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals. EMBC Andac Demir, Toshiaki Koike-Akino, Ye Wang, Masaki Haruna, Deniz Erdogmus
2021	J	`jnl`	EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals. CoRR Andac Demir, Toshiaki Koike-Akino, Ye Wang, Masaki Haruna, Deniz Erdogmus
2021	J	`jnl`	MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulation. CoRR Safa C. Medin, Bernhard Egger, Anoop Cherian, Ye Wang, Joshua B. Tenenbaum, Xiaoming Liu, Tim K. Marks
2021	J	`jnl`	Multi-Band Wi-Fi Sensing with Matched Feature Granularity. CoRR Jianyuan Yu, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, R. Michael Buehrer
2021	B	`conf`	Protograph-Based Design for QC Polar Codes. ISIT Toshiaki Koike-Akino, Ye Wang
2021	J	`jnl`	Protograph-Based Design for QC Polar Codes. CoRR Toshiaki Koike-Akino, Ye Wang
2021	J	`jnl`	Remaining Useful Life Estimation for LFP Cells in Second-Life Applications. IEEE Trans. Instrum. Meas. Iván Sanz-Gorrachategui, Pablo Pastor-Flores, Milutin Pajovic, Ye Wang, Philip V. Orlik, Carlos Bernal Ruiz, Antonio Bono-Nuez, Jesús Sergio Artal-Sevil
2021	B	`conf`	Robust Machine Learning via Privacy/ Rate-Distortion Theory. ISIT Ye Wang, Shuchin Aeron, Adnan Siraj Rakin, Toshiaki Koike-Akino, Pierre Moulin
2021	B	`conf`	Towards Universal Adversarial Examples and Defenses. ITW Adnan Siraj Rakin, Ye Wang, Shuchin Aeron, Toshiaki Koike-Akino, Pierre Moulin, Kieran Parsons
2021	J	`jnl`	Universal Physiological Representation Learning With Soft-Disentangled Rateless Autoencoders. IEEE J. Biomed. Health Informatics Mo Han, Ozan Özdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus
2021	—	`conf`	Zero-Multiplier Sparse DNN Equalization for Fiber-Optic QAM Systems with Probabilistic Amplitude Shaping. ECOC Toshiaki Koike-Akino, Ye Wang, Keisuke Kojima, Kieran Parsons, Tsuyoshi Yoshida
2020	—	`conf`	Analysis of Malicious Email Detection using Cialdini's Principles. AsiaJCIS Hiroki Nishikawa, Takumi Yamamoto, Bret A. Harsham, Ye Wang, Kota Uehara, Chiori Hori, Aiko Iwasaki, Kiyoto Kawauchi, Masakatsu Nishigaki
2020	J	`jnl`	AutoBayes: Automated Inference via Bayesian Graph Exploration for Nuisance-Robust Biosignal Analysis. CoRR Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus
2020	—	`conf`	Deep Neural Networks for Designing Integrated Photonics. OFC Keisuke Kojima, Mohammad H. Tahersima, Toshiaki Koike-Akino, Devesh K. Jha, Yingheng Tang, Ye Wang, Kieran Parsons, Fengqiao Sang, Jonathan Klamkin
2020	J	`jnl`	Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction. CoRR Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2020	J	`jnl`	Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction. IEEE Signal Process. Lett. Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2020	—	`conf`	Disentangled Adversarial Transfer Learning for Physiological Biosignals. EMBC Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2020	J	`jnl`	Disentangled Adversarial Transfer Learning for Physiological Biosignals. CoRR Mo Han, Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2020	—	`conf`	End-to-End Deep Learning for Phase Noise-Robust Multi-Dimensional Geometric Shaping. ECOC Veeru Talreja, Toshiaki Koike-Akino, Ye Wang, David S. Millar, Keisuke Kojima, Kieran Parsons
2020	A	`conf`	FX-GAN: Self-Supervised GAN Learning via Feature Exchange. WACV Rui Huang, Wenju Xu, Teng-Yok Lee, Anoop Cherian, Ye Wang, Tim K. Marks
2020	—	`conf`	Generative Deep Learning Model for a Multi-Level Nano-Optic Broadband Power Splitter. OFC Yingheng Tang, Keisuke Kojima, Toshiaki Koike-Akino, Ye Wang, Pengxiang Wu, Mohammad H. Tahersima, Devesh K. Jha, Kieran Parsons, Minghao Qi
2020	—	`conf`	Human Pose and Seat Occupancy Classification with Commercial MMWave WiFi. GLOBECOM (Workshops) Jianyuan Yu, Pu Wang, Toshiaki Koike-Akino, Ye Wang, Philip V. Orlik, Haijian Sun
2020	A*	`conf`	LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood. CVPR Abhinav Kumar, Tim K. Marks, Wenxuan Mou, Ye Wang, Michael Jones, Anoop Cherian, Toshiaki Koike-Akino, Xiaoming Liu, Chen Feng
2020	J	`jnl`	LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood. CoRR Abhinav Kumar, Tim K. Marks, Wenxuan Mou, Ye Wang, Michael J. Jones, Anoop Cherian, Toshiaki Koike-Akino, Xiaoming Liu, Chen Feng
2020	J	`jnl`	Learning Invariant Representations From EEG via Adversarial Inference. IEEE Access Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2020	—	`conf`	Learning to Modulate for Non-coherent MIMO. ICC Ye Wang, Toshiaki Koike-Akino
2020	B	`conf`	Polar Coding with Chemical Reaction Networks for Molecular Communications. GLOBECOM Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang
2020	J	`jnl`	Robust Machine Learning via Privacy/Rate-Distortion Theory. CoRR Ye Wang, Shuchin Aeron, Adnan Siraj Rakin, Toshiaki Koike-Akino, Pierre Moulin
2020	B	`conf`	Stochastic Bottleneck: Rateless Auto-Encoder for Flexible Dimensionality Reduction. ISIT Toshiaki Koike-Akino, Ye Wang
2020	J	`jnl`	Stochastic Bottleneck: Rateless Auto-Encoder for Flexible Dimensionality Reduction. CoRR Toshiaki Koike-Akino, Ye Wang
2020	J	`jnl`	Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders. CoRR Mo Han, Ozan Özdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus
2020	—	`conf`	Variational Quantum Demodulation for Coherent Optical Multi-Dimensional QAM. OFC Toshiaki Koike-Akino, Toshiki Matsumine, Ye Wang, David S. Millar, Keisuke Kojima, Kieran Parsons
2019	J	`jnl`	Adversarial Deep Learning in EEG Biometrics. CoRR Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2019	J	`jnl`	Adversarial Deep Learning in EEG Biometrics. IEEE Signal Process. Lett. Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2019	B	`conf`	Channel Decoding with Quantum Approximate Optimization Algorithm. ISIT Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang
2019	J	`jnl`	Channel Decoding with Quantum Approximate Optimization Algorithm. CoRR Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang
2019	B	`conf`	Deep Learning for Synchronization and Channel Estimation in NB-IoT Random Access Channel. GLOBECOM Mads H. Jespersen, Milutin Pajovic, Toshiaki Koike-Akino, Ye Wang, Petar Popovski, Philip V. Orlik
2019	—	`conf`	Deep Learning-Based Constellation Optimization for Physical Network Coding in Two-Way Relay Networks. ICC Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang
2019	J	`jnl`	Deep Learning-Based Constellation Optimization for Physical Network Coding in Two-Way Relay Networks. CoRR Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang
2019	—	`conf`	Hardware-Efficient Quantized Polar Decoding with Optimized Lookup Table. OECC/PSC Toshiaki Koike-Akino, Ye Wang, Semih Cayci, David S. Millar, Keisuke Kojima, Kieran Parsons
2019	J	`jnl`	Learning to Modulate for Non-coherent MIMO. CoRR Ye Wang, Toshiaki Koike-Akino
2019	J	`jnl`	Neural Turbo Equalization: Deep Learning for Fiber-Optic Nonlinearity Compensation. CoRR Toshiaki Koike-Akino, Ye Wang, David S. Millar, Keisuke Kojima, Kieran Parsons
2019	—	`conf`	Nonbinary Polar Coding for Multilevel Modulation. OFC Semih Cayci, Toshiaki Koike-Akino, Ye Wang
2019	J	`jnl`	Polar Coding with Chemical Reaction Networks. CoRR Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang
2019	—	`conf`	Privacy-Preserving Adversarial Networks. Allerton Ardhendu Tripathy, Ye Wang, Prakash Ishwar
2019	—	`conf`	Spatial Component-wise Convolutional Network (SCCNet) for Motor-Imagery EEG Classification. NER Chun-Shu Wei, Toshiaki Koike-Akino, Ye Wang
2019	—	`conf`	Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders. NER Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2018	—	`conf`	EXIT Convergence Analysis of BICM-ID Based on High-Dimensional Modulation and Polar-TPC. ECOC Toshiaki Koike-Akino, Ye Wang, Keisuke Kojima, David S. Millar, Kieran Parsons
2018	J	`jnl`	Invariant Representations from Adversarially Censored Autoencoders. CoRR Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2018	—	`conf`	Irregular Polar Turbo Product Coding for High-Throughput Optical Interface. OFC Toshiaki Koike-Akino, Congzhe Cao, Ye Wang, Keisuke Kojima, David S. Millar, Kieran Parsons
2018	J	`jnl`	Privacy-Utility Tradeoff for Applications Using Energy Disaggregation of Smart-Meter Data. J. Inf. Process. Mitsuhiro Hattori, Takato Hirano, Nori Matsuda, Fumio Omatsu, Rina Shimizu, Ye Wang
2018	J	`jnl`	Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders. CoRR Ozan Özdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus
2018	—	`conf`	Translating sEMG signals to continuous hand poses using recurrent neural networks. BHI Fernando Quivira, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus
2018	—	`conf`	Turbo Product Codes with Irregular Polar Coding for High-Throughput Parallel Decoding in Wireless OFDM Transmission. ICC Toshiaki Koike-Akino, Congzhe Cao, Ye Wang
2017	—	`conf`	Bit-interleaved polar-coded OFDM for low-latency M2M wireless communications. ICC Toshiaki Koike-Akino, Ye Wang, Stark C. Draper, Kenya Sugihara, Wataru Matsumoto
2017	—	`conf`	Bit-interleaved polar-coded modulation for low-latency short-block transmission. OFC Toshiaki Koike-Akino, Ye Wang, Stark C. Draper, Kenya Sugihara, Wataru Matsumoto, David S. Millar, Kieran Parsons, Keisuke Kojima
2017	B	`conf`	Irregular Polar Coding for Massive MIMO Channels. GLOBECOM Congzhe Cao, Toshiaki Koike-Akino, Ye Wang, Stark C. Draper
2017	—	`conf`	Irregular Polar Coding for Multi-Level Modulation in Complexity-Constrained Lightwave Systems. ECOC 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
2017	Misc	`conf`	On methods for privacy-preserving energy disaggregation. ICASSP Ye Wang, Nisarg Raval, Prakash Ishwar, Mitsuhiro Hattori, Takato Hirano, Nori Matsuda, Rina Shimizu
2017	J	`jnl`	Privacy-Preserving Adversarial Networks. CoRR Ardhendu Tripathy, Ye Wang, Prakash Ishwar
2017	—	`conf`	Privacy-Utility Tradeoff for Applications Using Energy Disaggregation of Smart-Meter Data. ACISP (2) Mitsuhiro Hattori, Takato Hirano, Nori Matsuda, Rina Shimizu, Ye Wang
2017	J	`jnl`	Privacy-Utility Tradeoffs under Constrained Data Release Mechanisms. CoRR Ye Wang, Yuksel Ozan Basciftci, Prakash Ishwar
2016	—	`conf`	High-accuracy user identification using EEG biometrics. EMBC Toshiaki Koike-Akino, Ruhi Mahajan, Tim K. Marks, Ye Wang, Shinji Watanabe, Oncel Tuzel, Philip V. Orlik
2016	Misc	`conf`	On privacy-utility tradeoffs for constrained data release mechanisms. ITA Yuksel Ozan Basciftci, Ye Wang, Prakash Ishwar
2014	B	`conf`	An elementary completeness proof for secure two-party computation primitives. ITW Ye Wang, Prakash Ishwar, Shantanu Rane
2014	J	`jnl`	Secure Two-Party Sampling Primitives are either Useless or Complete. CoRR Ye Wang, Prakash Ishwar, Shantanu Rane
2013	B	`conf`	Information-theoretically secure three-party computation with One corrupted party. ISIT Ye Wang, Prakash Ishwar, Shantanu Rane
2013	J	`jnl`	On Unconditionally Secure Multiparty Computation for Realizing Correlated Equilibria in Games. CoRR Ye Wang, Shantanu Rane, Prakash Ishwar
2013	J	`jnl`	On the Benefits of Sampling in Privacy Preserving Statistical Analysis on Distributed Databases CoRR Bing-Rong Lin, Ye Wang, Shantanu Rane
2013	—	`conf`	On unconditionally secure multiparty computation for realizing correlated equilibria in games. GlobalSIP Ye Wang, Shantanu Rane, Prakash Ishwar
2013	J	`jnl`	Secure Biometrics: Concepts, Authentication Architectures and Challenges CoRR Shantanu Rane, Ye Wang, Stark C. Draper, Prakash Ishwar
2013	J	`jnl`	Secure Biometrics: Concepts, Authentication Architectures, and Challenges. IEEE Signal Process. Mag. Shantanu Rane, Ye Wang, Stark C. Draper, Prakash Ishwar
2012	J	`jnl`	A Theoretical Analysis of Authentication, Privacy, and Reusability Across Secure Biometric Systems. IEEE Trans. Inf. Forensics Secur. Ye Wang, Shantanu Rane, Stark C. Draper, Prakash Ishwar
2012	—	`conf`	A framework for privacy preserving statistical analysis on distributed databases. WIFS Bing-Rong Lin, Ye Wang, Shantanu Rane
2012	J	`jnl`	Information-Theoretically Secure Three-Party Computation with One Active Adversary CoRR Ye Wang, Prakash Ishwar, Shantanu Rane
2011	J	`jnl`	A Theoretical Analysis of Authentication, Privacy and Reusability Across Secure Biometric Systems CoRR Ye Wang, Shantanu Rane, Stark C. Draper, Prakash Ishwar
2011	Misc	`conf`	An information-theoretic analysis of revocability and reusability in secure biometrics. ITA Ye Wang, Shantanu Rane, Stark C. Draper, Prakash Ishwar
2011	B	`conf`	On unconditionally secure multi-party sampling from scratch1. ISIT Ye Wang, Prakash Ishwar
2010	J	`jnl`	On Unconditionally Secure Computation with Vanishing Communication Cost CoRR Ye Wang, Shantanu Rane, Wei Sun, Prakash Ishwar
2010	—	`conf`	On unconditionally secure computation with vanishing communication cost. Allerton Ye Wang, Shantanu Rane, Wei Sun, Prakash Ishwar
2009	J	`jnl`	Bootstrapped Oblivious Transfer and Secure Two-Party Function Computation CoRR Ye Wang, Prakash Ishwar
2009	B	`conf`	Bootstrapped oblivious transfer and secure two-party function computation. ISIT Ye Wang, Prakash Ishwar
2009	J	`jnl`	Distributed Field Estimation With Randomly Deployed, Noisy, Binary Sensors. IEEE Trans. Signal Process. Ye Wang, Prakash Ishwar
2008	J	`jnl`	One-Bit Distributed Sensing and Coding for Field Estimation in Sensor Networks. IEEE Trans. Signal Process. Ye Wang, Prakash Ishwar, Venkatesh Saligrama
2007	J	`jnl`	Delayed Sequential Coding of Correlated Sources CoRR Nan Ma, Ye Wang, Prakash Ishwar
2007	J	`jnl`	On Non-Parametric Field Estimation using Randomly Deployed, Noisy, Binary Sensors CoRR Ye Wang, Prakash Ishwar
2007	B	`conf`	On Non-Parametric Field Estimation using Randomly Deployed, Noisy, Binary Sensors. ISIT Ye Wang, Prakash Ishwar
2007	J	`jnl`	One-bit Distributed Sensing and Coding for Field Estimation in Sensor Networks CoRR Ye Wang, Prakash Ishwar, Venkatesh Saligrama