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Towards Generalized Implementation of Wasserstein Distance in GANs


Jan 12, 2021
Minkai Xu, Zhiming Zhou, Guansong Lu, Jian Tang, Weinan Zhang, Yong Yu

* Accepted by AAAI 2021 

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Sobolev Wasserstein GAN


Dec 07, 2020
Minkai Xu, Zhiming Zhou, Guansong Lu, Jian Tang, Weinan Zhang, Yong Yu

* Accepted by AAAI 2021 

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Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency


Mar 14, 2020
Guansong Lu, Zhiming Zhou, Jian Shen, Cheng Chen, Weinan Zhang, Yong Yu


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Improving Unsupervised Domain Adaptation with Variational Information Bottleneck


Nov 21, 2019
Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu


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Quantifying Exposure Bias for Neural Language Generation


May 25, 2019
Tianxing He, Jingzhao Zhang, Zhiming Zhou, James Glass


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Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence


May 25, 2019
Yaoming Zhu, Juncheng Wan, Zhiming Zhou, Liheng Chen, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu


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Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs


Apr 02, 2019
Zhiming Zhou, Jian Shen, Yuxuan Song, Weinan Zhang, Yong Yu

* Submitted to IJCAI 2019 

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Lipschitz Generative Adversarial Nets


Mar 14, 2019
Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang

* Under review by the International Conference on Machine Learning (ICML 2019) 

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Guiding the One-to-one Mapping in CycleGAN via Optimal Transport


Nov 15, 2018
Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu

* The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019) 

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Understanding the Effectiveness of Lipschitz-Continuity in Generative Adversarial Nets


Oct 05, 2018
Zhiming Zhou, Yuxuan Song, Lantao Yu, Hongwei Wang, Zhihua Zhang, Weinan Zhang, Yong Yu

* Submitted to ICLR 2019 

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AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods


Oct 05, 2018
Zhiming Zhou, Qingru Zhang, Guansong Lu, Hongwei Wang, Weinan Zhang, Yong Yu

* Submitted to ICLR 2019 

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AM-GAN: Improved Usage of Class-Labels in Generative Adversarial Nets


Jul 11, 2018
Zhiming Zhou, Han Cai, Shu Rong, Yuxuan Song, Kan Ren, Weinan Zhang, Yong Yu, Jun Wang

* Accepted as a conference paper on ICLR 2018 

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Inception Score, Label Smoothing, Gradient Vanishing and -log(D(x)) Alternative


Jun 30, 2018
Zhiming Zhou, Weinan Zhang, Jun Wang

* An advanced version is included in arXiv:1703.02000 "Activation Maximization Generative Adversarial Nets" 

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Learning to Design Games: Strategic Environments in Reinforcement Learning


May 23, 2018
Haifeng Zhang, Jun Wang, Zhiming Zhou, Weinan Zhang, Ying Wen, Yong Yu, Wenxin Li


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Face Transfer with Generative Adversarial Network


Oct 17, 2017
Runze Xu, Zhiming Zhou, Weinan Zhang, Yong Yu


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Unsupervised Diverse Colorization via Generative Adversarial Networks


Jul 01, 2017
Yun Cao, Zhiming Zhou, Weinan Zhang, Yong Yu


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