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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j10]Che Wang, Zhenhao Wu, Jianbo Gao, Jiashuo Zhang, Junjie Xia, Feng Gao, Zhi Guan, Zhong Chen:
FedTop: a constraint-loosed federated learning aggregation method against poisoning attack. Frontiers Comput. Sci. 18(5): 185348 (2024)- [j9]Xinqi Du
, Hechang Chen, Che Wang, Yongheng Xing, Jielong Yang, Philip S. Yu, Yi Chang, Lifang He:
Robust multi-agent reinforcement learning via Bayesian distributional value estimation. Pattern Recognit. 145: 109917 (2024) - [j8]Qian Li, Che Wang, Lu An, Minghu Ding:
Influence of Supraglacial Lakes on Accuracy of Inversion of Greenland Ice Sheet Surface Melt Data in Different Passive Microwave Bands. Remote. Sens. 16(10): 1673 (2024) - [j7]Chong Hong, Yingdan Wu, Che Wang, Ziyu Ren, Chunxiang Wang, Zemin Liu, Wenqi Hu, Metin Sitti:
Wireless flow-powered miniature robot capable of traversing tubular structures. Sci. Robotics 9(88) (2024) - [c20]Zecheng Wang, Che Wang, Zixuan Dong, Keith W. Ross:
Pre-training with Synthetic Data Helps Offline Reinforcement Learning. ICLR 2024 - [c19]Ke Wang, L. Yue, Jianbo Gao, Che Wang, Zhi Guan, Zhong Chen:
RollupNet: Trustless State Channels for Real-Time Cross Rollup Contract Execution. INFOCOM (Workshops) 2024: 1-2 - [c18]Che Wang, Yue Li, Jianbo Gao, Ke Wang, Jiashuo Zhang, Zhi Guan, Zhong Chen:
SolaSim: Clone Detection for Solana Smart Contracts via Program Representation. ICPC 2024: 258-269 - [c17]Ke Wang, Yue Li, Che Wang, Jianbo Gao, Zhi Guan, Zhong Chen:
XGuard: Detecting Inconsistency Behaviors of Crosschain Bridges. SIGSOFT FSE Companion 2024: 612-616 - [c16]Libin Xia, Jiashuo Zhang, Che Wang, Zezhong Tan, Jianbo Gao, Zhi Guan, Zhong Chen:
Cryptcoder: An Automatic Code Generator for Cryptographic Tasks in Ethereum Smart Contracts. SANER 2024: 976-980 - [i13]Che Wang, Jiashuo Zhang, Jianbo Gao, Libin Xia, Zhi Guan, Zhong Chen:
ContractTinker: LLM-Empowered Vulnerability Repair for Real-World Smart Contracts. CoRR abs/2409.09661 (2024) - 2023
- [c15]Fuhu Song, Jifeng Hu, Che Wang, Jiao Huang, Haowen Zhang, Yi Wang:
Cross-Modal Audio-Text Retrieval via Sequential Feature Augmentation. CACML 2023: 298-304 - [c14]Che Wang, Jifeng Hu, Fuhu Song, Jiao Huang, Zixuan Yang, Yusen Wang:
Multiple Frequency Bands Temporal State Representation for Deep Reinforcement Learning. CACML 2023: 309-315 - [c13]Fanyi Qu, Che Wang, Yunfang Wu:
Accurate, Diverse and Multiple Distractor Generation with Mixture of Experts. NLPCC (1) 2023: 761-773 - [i12]Zecheng Wang, Che Wang, Zixuan Dong, Keith W. Ross:
Pre-training with Synthetic Data Helps Offline Reinforcement Learning. CoRR abs/2310.00771 (2023) - [i11]Xiang Li, Che Wang, Bing Li, Hao Chen, Sizhe Li:
Method for Text Entity Linking in Power Distribution Scheduling Oriented to Power Distribution Network Knowledge Graph. CoRR abs/2311.08724 (2023) - [i10]Hao Pei, Si Lin, Chuanfu Li, Che Wang, Haoming Chen, Sizhe Li:
Evaluation of dynamic characteristics of power grid based on GNN and application on knowledge graph. CoRR abs/2311.16522 (2023) - 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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