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ORCIDZhiming Zhou 0001
Person information
- affiliation: Shanghai Jiao Tong University, China
Other persons with the same name
- Zhiming Zhou — disambiguation page
- Zhiming Zhou 0002
![[0000-0002-2407-961X]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0002-2407-961X")
— Shanghai University of Finance and Economics, ECONCS, China
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2020 – today
- 2021
[c10]Tianxing He, Jingzhao Zhang, Zhiming Zhou, James R. Glass:
Exposure Bias versus Self-Recovery: Are Distortions Really Incremental for Autoregressive Text Generation? EMNLP (1) 2021: 5087-5102- 2020
- [c9]Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu:
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck. ECAI 2020: 1499-1506 - [c8]Zhiming Zhou, Yu Dong, Li Song, Rong Xie, Lin Li, Bing Zhou:
Quality of Experience Evaluation for Streaming Video Using CGNN. VCIP 2020: 285-288 - [i14]Guansong Lu, Zhiming Zhou, Jian Shen, Cheng Chen, Weinan Zhang, Yong Yu:
Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency. CoRR abs/2003.06635 (2020) - [i13]Minkai Xu, Zhiming Zhou, Guansong Lu, Jian Tang, Weinan Zhang, Yong Yu:
Sobolev Wasserstein GAN. CoRR abs/2012.03420 (2020)
2010 – 2019
- 2019
- [c7]Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu:
Guiding the One-to-One Mapping in CycleGAN via Optimal Transport. AAAI 2019: 4432-4439 - [c6]Zhiming Zhou, Qingru Zhang, Guansong Lu, Hongwei Wang, Weinan Zhang, Yong Yu:
AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods. ICLR (Poster) 2019 - [c5]Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang:
Lipschitz Generative Adversarial Nets. ICML 2019: 7584-7593 - [c4]Yaoming Zhu, Juncheng Wan, Zhiming Zhou, Liheng Chen, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu:
Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence. SIGIR 2019: 455-464 - [i12]Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang:
Lipschitz Generative Adversarial Nets. CoRR abs/1902.05687 (2019) - [i11]Zhiming Zhou, Jian Shen, Yuxuan Song, Weinan Zhang, Yong Yu:
Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs. CoRR abs/1904.01184 (2019) - [i10]Tianxing He, Jingzhao Zhang, Zhiming Zhou, James R. Glass:
Quantifying Exposure Bias for Neural Language Generation. CoRR abs/1905.10617 (2019) - [i9]Yaoming Zhu, Juncheng Wan, Zhiming Zhou, Liheng Chen, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu:
Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence. CoRR abs/1906.01965 (2019) - [i8]Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu:
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck. CoRR abs/1911.09310 (2019) - 2018
- [c3]Zhiming Zhou, Han Cai, Shu Rong, Yuxuan Song, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu:
Activation Maximization Generative Adversarial Nets. ICLR (Poster) 2018 - [c2]Haifeng Zhang, Jun Wang, Zhiming Zhou, Weinan Zhang, Yin Wen, Yong Yu, Wenxin Li:
Learning to Design Games: Strategic Environments in Reinforcement Learning. IJCAI 2018: 3068-3074 - [i7]Zhiming Zhou, Yuxuan Song, Lantao Yu, Yong Yu:
Understanding the Effectiveness of Lipschitz Constraint in Training of GANs via Gradient Analysis. CoRR abs/1807.00751 (2018) - [i6]Zhiming Zhou, Qingru Zhang, Guansong Lu, Hongwei Wang, Weinan Zhang, Yong Yu:
AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods. CoRR abs/1810.00143 (2018) - [i5]Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu:
Guiding the One-to-one Mapping in CycleGAN via Optimal Transport. CoRR abs/1811.06284 (2018) - 2017
- [c1]Yun Cao, Zhiming Zhou, Weinan Zhang, Yong Yu:
Unsupervised Diverse Colorization via Generative Adversarial Networks. ECML/PKDD (1) 2017: 151-166 - [i4]Yun Cao, Zhiming Zhou, Weinan Zhang, Yong Yu:
Unsupervised Diverse Colorization via Generative Adversarial Networks. CoRR abs/1702.06674 (2017) - [i3]Zhiming Zhou, Shu Rong, Han Cai, Weinan Zhang, Yong Yu, Jun Wang:
Generative Adversarial Nets with Labeled Data by Activation Maximization. CoRR abs/1703.02000 (2017) - [i2]Haifeng Zhang, Jun Wang, Zhiming Zhou, Weinan Zhang, Ying Wen, Yong Yu, Wenxin Li:
Learning to Design Games: Strategic Environments in Deep Reinforcement Learning. CoRR abs/1707.01310 (2017) - [i1]Runze Xu, Zhiming Zhou, Weinan Zhang, Yong Yu:
Face Transfer with Generative Adversarial Network. CoRR abs/1710.06090 (2017) - 2016
- [j1]Zhiming Zhou, Guojun Chen, Yue Dong, David P. Wipf, Yong Yu, John M. Snyder, Xin Tong:
Sparse-as-possible SVBRDF acquisition. ACM Trans. Graph. 35(6): 189:1-189:12 (2016)
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