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MRI Reconstruction Using Deep Energy-Based Model


Sep 09, 2021
Yu Guan, Zongjiang Tu, Shanshan Wang, Qiegen Liu, Yuhao Wang, Dong Liang

* 36 pages, 9 figures 

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Variable Augmented Network for Invertible Modality Synthesis-Fusion


Sep 02, 2021
Yuhao Wang, Ruirui Liu, Zihao Li, Cailian Yang, Qiegen Liu

* Page 10. arXiv admin note: text overlap with arXiv:2002.05000, arXiv:2103.15061 by other authors 

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High-dimensional Assisted Generative Model for Color Image Restoration


Aug 14, 2021
Kai Hong, Chunhua Wu, Cailian Yang, Minghui Zhang, Yancheng Lu, Yuhao Wang, Qiegen Liu

* 12 pages,11 figures 

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Learning Sparse Fixed-Structure Gaussian Bayesian Networks


Jul 22, 2021
Arnab Bhattacharyya, Davin Choo, Rishikesh Gajjala, Sutanu Gayen, Yuhao Wang

* 30 pages, 11 figures 

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Wavelet Transform-assisted Adaptive Generative Modeling for Colorization


Jul 09, 2021
Jin Li, Wanyun Li, Zichen Xu, Yuhao Wang, Qiegen Liu


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Identifiability of AMP chain graph models


Jun 17, 2021
Yuhao Wang, Arnab Bhattacharyya

* 16 pages, 4 figures 

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Sparse Code Multiple Access for 6G Wireless Communication Networks: Recent Advances and Future Directions


Apr 03, 2021
Lisu Yu, Zilong Liu, Miaowen Wen, Donghong Cai, Shuping Dang, Yuhao Wang, Pei Xiao

* 17 pages, 5 figures. Accepted for publication in the IEEE Communications Standards Magazine, 2021 

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Joint Intensity-Gradient Guided Generative Modeling for Colorization


Dec 28, 2020
Kai Hong, Jin Li, Wanyun Li, Cailian Yang, Minghui Zhang, Yuhao Wang, Qiegen Liu


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Amortized Variational Deep Q Network


Nov 03, 2020
Haotian Zhang, Yuhao Wang, Jianyong Sun, Zongben Xu

* Accepted to appear in the Deep Reinforcement Learning Workshop at NeurIPS 2020 

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Joint Inference of Multiple Graphs from Matrix Polynomials


Oct 16, 2020
Madeline Navarro, Yuhao Wang, Antonio G. Marques, Caroline Uhler, Santiago Segarra

* 13 pages, 2 figures 

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Learning in the Frequency Domain


Mar 12, 2020
Kai Xu, Minghai Qin, Fei Sun, Yuhao Wang, Yen-Kuang Chen, Fengbo Ren

* Accepted to CVPR 2020; https://github.com/calmevtime/DCTNet 

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Causal Discovery from Incomplete Data: A Deep Learning Approach


Jan 15, 2020
Yuhao Wang, Vlado Menkovski, Hao Wang, Xin Du, Mykola Pechenizkiy


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DARB: A Density-Aware Regular-Block Pruning for Deep Neural Networks


Nov 20, 2019
Ao Ren, Tao Zhang, Yuhao Wang, Sheng Lin, Peiyan Dong, Yen-kuang Chen, Yuan Xie, Yanzhi Wang

* This paper has been accepted by AAAI'2020 

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Learning Priors in High-frequency Domain for Inverse Imaging Reconstruction


Oct 23, 2019
Zhuonan He, Jinjie Zhou, Dong Liang, Yuhao Wang, Qiegen Liu


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