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Ye Wang

Personalized Popular Music Generation Using Imitation and Structure


May 10, 2021
Shuqi Dai, Xichu Ma, Ye Wang, Roger B. Dannenberg

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* 26 pages, 12 figures 
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Dynamic Texture Synthesis by Incorporating Long-range Spatial and Temporal Correlations


Apr 14, 2021
Kaitai Zhang, Bin Wang, Hong-Shuo Chen, Ye Wang, Shiyu Mou, C. -C. Jay Kuo

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* 7 pages, 6 figures 
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Dynamic Texture Synthesis By Incorporating Long-range Spatial and Temporal Correlations


Apr 13, 2021
Kaitai Zhang, Bin Wang, Hong-Shuo Chen, Ye Wang, Shiyu Mou, C. -C. Jay Kuo

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* 7 pages, 6 figures 
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Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models


Feb 28, 2021
Jialin Peng, Ye Wang

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Protograph-Based Design for QC Polar Codes


Feb 25, 2021
Toshiaki Koike-Akino, Ye Wang

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* 6 pages, 8 figures, under review in ISIT 
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RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud Classifiers


Nov 25, 2020
Saeid Asgari Taghanaki, Jieliang Luo, Ran Zhang, Ye Wang, Pradeep Kumar Jayaraman, Krishna Murthy Jatavallabhula

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Universal Physiological Representation Learning with Soft-Disentangled Rateless Autoencoders


Sep 28, 2020
Mo Han, Ozan Ozdenizci, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus

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* 8 pages 
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Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction


Aug 26, 2020
Mo Han, Ozan Ozdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

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* IEEE Signal Processing Letters, 2020 
 * Accepted for publication by IEEE Signal Processing Letters 
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DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing


Aug 19, 2020
Qiang Liu, Tao Han, Ning Zhang, Ye Wang

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* Accepted by Globecom 2020 
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Robust Machine Learning via Privacy/Rate-Distortion Theory


Jul 22, 2020
Ye Wang, Shuchin Aeron, Adnan Siraj Rakin, Toshiaki Koike-Akino, Pierre Moulin

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* 14 pages, 2 figures, under submission 
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A biological plausible audio-visual integration model for continual lifelong learning


Jul 17, 2020
Wenjie Chen, Fengtong Du, Ye Wang, Lihong Cao

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Deep Graph Random Process for Relational-Thinking-Based Speech Recognition


Jul 08, 2020
Hengguan Huang, Fuzhao Xue, Hao Wang, Ye Wang

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* Accepted at ICML 2020 
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AutoBayes: Automated Inference via Bayesian Graph Exploration for Nuisance-Robust Biosignal Analysis


Jul 02, 2020
Andac Demir, Toshiaki Koike-Akino, Ye Wang, Deniz Erdogmus

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* 18 pages, 6 figures 
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Stochastic Bottleneck: Rateless Auto-Encoder for Flexible Dimensionality Reduction


May 06, 2020
Toshiaki Koike-Akino, Ye Wang

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* 14 pages, 12 figures, ISIT 2020 accepted 
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Disentangled Adversarial Transfer Learning for Physiological Biosignals


Apr 15, 2020
Mo Han, Ozan Ozdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

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* 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2020) 
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LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood


Apr 06, 2020
Abhinav Kumar, Tim K. Marks, Wenxuan Mou, Ye Wang, Michael Jones, Anoop Cherian, Toshiaki Koike-Akino, Xiaoming Liu, Chen Feng

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* Accepted to CVPR 2020 
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Fake News Detection with Different Models


Feb 15, 2020
Sairamvinay Vijayaraghavan, Ye Wang, Zhiyuan Guo, John Voong, Wenda Xu, Armand Nasseri, Jiaru Cai, Linda Li, Kevin Vuong, Eshan Wadhwa


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Neural Turbo Equalization: Deep Learning for Fiber-Optic Nonlinearity Compensation


Nov 22, 2019
Toshiaki Koike-Akino, Ye Wang, David S. Millar, Keisuke Kojima, Kieran Parsons

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* 7 pages, 13 figures 
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Adversarial Deep Learning in EEG Biometrics


Mar 27, 2019
Ozan Ozdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

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* IEEE Signal Processing Letters, 2019 
 * Accepted for publication by IEEE Signal Processing Letters 
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Deep Learning-Based Constellation Optimization for Physical Network Coding in Two-Way Relay Networks


Mar 09, 2019
Toshiki Matsumine, Toshiaki Koike-Akino, Ye Wang

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Learning to Modulate for Non-coherent MIMO


Mar 09, 2019
Ye Wang, Toshiaki Koike-Akino

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Towards Visible and Thermal Drone Monitoring with Convolutional Neural Networks


Dec 19, 2018
Ye Wang, Yueru Chen, Jongmoo Choi, C. -C. Jay Kuo

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* 12 pages, 18 figures, journal. arXiv admin note: substantial text overlap with arXiv:1712.00863 
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Unsupervised Video Object Segmentation with Distractor-Aware Online Adaptation


Dec 19, 2018
Ye Wang, Jongmoo Choi, Yueru Chen, Siyang Li, Qin Huang, Kaitai Zhang, Ming-Sui Lee, C. -C. Jay Kuo

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* 11 pages, 6 figures, 4 tables, conference 
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Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders


Dec 17, 2018
Ozan Ozdenizci, Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

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* 9th International IEEE EMBS Conference on Neural Engineering (NER'19) 
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Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation


Dec 13, 2018
Ye Wang, Jongmoo Choi, Yueru Chen, Qin Huang, Siyang Li, Ming-Sui Lee, C. -C. Jay Kuo

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* 16 pages, 7 figures, 6 tables, conference 
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An optimized system to solve text-based CAPTCHA


Jun 11, 2018
Ye Wang, Mi Lu

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Invariant Representations from Adversarially Censored Autoencoders


May 21, 2018
Ye Wang, Toshiaki Koike-Akino, Deniz Erdogmus

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* 9 pages, 5 figures 
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