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2020 – today
- 2022
[j6]Junhong Xiang
, Wanrong Yang, Hua Zhang, Fangyu Zhu, Shanshan Pu, Rui Li, Che Wang, Zhonghong Yan, Wang Li:
Digital signal extraction approach for cardiotocography image. Comput. Methods Programs Biomed. 225: 107089 (2022)- [j5]Chong Hong, Ziyu Ren, Che Wang, Mingtong Li, Yingdan Wu, Dewei Tang, Wenqi Hu, Metin Sitti:
Magnetically actuated gearbox for the wireless control of millimeter-scale robots. Sci. Robotics 7(69) (2022) - [c12]Che Wang, Sen Jia, Zhonghong Yan, Yijia Zheng, Shaonan Liu, Haifeng Wang, Dong Liang, Yanjie Zhu:
Online reconstruction of fast dynamic MR imaging using deep low-rank plus sparse network. CBMS 2022: 166-170 - [c11]Che Wang, Shuhan Yuan, Kai Shao, Keith W. Ross:
On the Convergence of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning. ICLR 2022 - [c10]Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li:
Reinforcement Learning with Automated Auxiliary Loss Search. NeurIPS 2022 - [c9]Che Wang, Xufang Luo, Keith W. Ross, Dongsheng Li:
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning. NeurIPS 2022 - [i9]Che Wang, Xufang Luo, Keith W. Ross, Dongsheng Li:
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning. CoRR abs/2202.10324 (2022) - [i8]Zixuan Dong, Che Wang, Keith W. Ross:
On the Convergence of Monte Carlo UCB for Random-Length Episodic MDPs. CoRR abs/2209.02864 (2022) - [i7]Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li:
Reinforcement Learning with Automated Auxiliary Loss Search. CoRR abs/2210.06041 (2022) - 2021
- [j4]Guanghe Wang, Xiang Lei, Han Wu, Kai Sun, Lijun Wang, Yi Ding, Che Wang:
A Comprehensive Network Restoration Model for Active Distribution Network Considering Forecast Uncertainty. IEEE Access 9: 130997-131005 (2021) - [c8]Xinyue Chen, Che Wang, Zijian Zhou, Keith W. Ross:
Randomized Ensembled Double Q-Learning: Learning Fast Without a Model. ICLR 2021 - [i6]Xinyue Chen, Che Wang, Zijian Zhou, Keith W. Ross:
Randomized Ensembled Double Q-Learning: Learning Fast Without a Model. CoRR abs/2101.05982 (2021) - [i5]Yanqiu Wu, Xinyue Chen, Che Wang, Yiming Zhang, Zijian Zhou, Keith W. Ross:
Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance. CoRR abs/2111.09159 (2021) - 2020
- [c7]Kang Su, Erning Zhou, Xiaoyu Sun, Che Wang, Dan Yu, Xianlu Luo:
Pre-trained StyleGAN Based Data Augmentation for Small Sample Brain CT Motion Artifacts Detection. ADMA 2020: 339-346 - [c6]Che Wang, Xiaoyu Sun, Bin Zhang, Guanjun Lai, Dan Yu, Kang Su:
Brain CT Image with Motion Artifact Augmentation Based on PGGAN and FBP for Artifact Detection. ADMA 2020: 370-378 - [c5]Che Wang, Yanqiu Wu, Quan Vuong, Keith W. Ross:
Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling. ICML 2020: 10070-10080 - [c4]Xinyue Chen, Zijian Zhou, Zheng Wang, Che Wang, Yanqiu Wu, Keith W. Ross:
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning. NeurIPS 2020 - [i4]Che Wang, Keith W. Ross:
On the Convergence of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning. CoRR abs/2002.03585 (2020)
2010 – 2019
- 2019
- [i3]Che Wang, Keith W. Ross:
Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the Past. CoRR abs/1906.04009 (2019) - [i2]Che Wang, Yanqiu Wu, Quan Vuong, Keith W. Ross:
Towards Simplicity in Deep Reinforcement Learning: Streamlined Off-Policy Learning. CoRR abs/1910.02208 (2019) - [i1]Xinyue Chen, Zijian Zhou, Zheng Wang, Che Wang, Yanqiu Wu, Qing Deng, Keith W. Ross:
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning. CoRR abs/1910.12179 (2019) - 2017
- [j3]Che Wang, Hong Wang:
A fast collocation method for a variable-coefficient nonlocal diffusion model. J. Comput. Phys. 330: 114-126 (2017) - [c3]Xiong Li, Che Wang, Liyue Liu, Xuewen Xia:
A Method for Heterogeneity Analysis of Complex Diseases Based on Clustering Algorithm. CIS 2017: 155-158 - 2016
- [c2]Che Wang, Pan Chen, Yuanda Li, Christoffer Holmgård, Julian Togelius:
Portfolio Online Evolution in StarCraft. AIIDE 2016: 114-121 - 2015
- [j2]Ning Du, Hong Wang, Che Wang:
A fast method for a generalized nonlocal elastic model. J. Comput. Phys. 297: 72-83 (2015) - 2014
- [c1]Qiwei Wang, Shouhong Wan, Lihua Yue, Che Wang:
Visual attention based bag-of-words model for image classification. ICDIP 2014: 91591P
2000 – 2009
- 2008
- [j1]Chi-Bin Cheng, Che Wang:
Outsourcer selection and order tracking in a supply chain by mobile agents. Comput. Ind. Eng. 55(2): 406-422 (2008)
Coauthor Index
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