Outsourcer selection and order tracking in a supply chain by mobile agents. - Chi-Bin Cheng; Che Wang (Comput. Ind. Eng., 2008)

Visual attention based bag-of-words model for image classification. - Qiwei Wang; Shouhong Wan; Lihua Yue; Che Wang (ICDIP, 2014)

A fast method for a generalized nonlocal elastic model. - Ning Du; Hong Wang 018; Che Wang (J. Comput. Phys., 2015)

Portfolio Online Evolution in StarCraft. - Che Wang; Pan Chen; Yuanda Li; Christoffer Holmgård; Julian Togelius (AIIDE, 2016)

A Method for Heterogeneity Analysis of Complex Diseases Based on Clustering Algorithm. - Xiong Li; Che Wang; Liyue Liu; Xuewen Xia (CIS, 2017)

A fast collocation method for a variable-coefficient nonlocal diffusion model. - Che Wang; Hong Wang 018 (J. Comput. Phys., 2017)

Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the Past. - Che Wang; Keith W. Ross (CoRR, 2019)

Towards Simplicity in Deep Reinforcement Learning: Streamlined Off-Policy Learning. - Che Wang; Yanqiu Wu 002; Quan Vuong; Keith W. Ross (CoRR, 2019)

BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning. - Xinyue Chen; Zijian Zhou; Zheng Wang; Che Wang; Yanqiu Wu 002; Qing Deng; Keith W. Ross (CoRR, 2019)

Pre-trained StyleGAN Based Data Augmentation for Small Sample Brain CT Motion Artifacts Detection. - Kang Su; Erning Zhou; Xiaoyu Sun 008; Che Wang; Dan Yu; Xianlu Luo (ADMA, 2020)

Brain CT Image with Motion Artifact Augmentation Based on PGGAN and FBP for Artifact Detection. - Che Wang; Xiaoyu Sun 008; Bin Zhang; Guanjun Lai; Dan Yu; Kang Su (ADMA, 2020)

Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling. - Che Wang; Yanqiu Wu 002; Quan Vuong; Keith W. Ross (ICML, 2020)

BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning. - Xinyue Chen; Zijian Zhou; Zheng Wang; Che Wang; Yanqiu Wu 002; Keith W. Ross (NeurIPS, 2020)

On the Convergence of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning. - Che Wang; Keith W. Ross (CoRR, 2020)

Randomized Ensembled Double Q-Learning: Learning Fast Without a Model. - Xinyue Chen; Che Wang; Zijian Zhou; Keith W. Ross (ICLR, 2021)

A Comprehensive Network Restoration Model for Active Distribution Network Considering Forecast Uncertainty. - Guanghe Wang; Xiang Lei; Han Wu; Kai Sun; Lijun Wang; Yi Ding; Che Wang (IEEE Access, 2021)

Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance. - Yanqiu Wu 002; Xinyue Chen; Che Wang; Yiming Zhang 010; Zijian Zhou; Keith W. Ross (CoRR, 2021)

Online reconstruction of fast dynamic MR imaging using deep low-rank plus sparse network. - Che Wang; Sen Jia 005; Zhonghong Yan; Yijia Zheng; Shaonan Liu; Haifeng Wang 003; Dong Liang 001; Yanjie Zhu (CBMS, 2022)

On the Convergence of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning. - Che Wang; Shuhan Yuan; Kai Shao; Keith W. Ross (ICLR, 2022)

Reinforcement Learning with Automated Auxiliary Loss Search. - Tairan He; Yuge Zhang; Kan Ren; Minghuan Liu; Che Wang; Weinan Zhang 001; Yuqing Yang 001; Dongsheng Li 002 (NeurIPS, 2022)

VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning. - Che Wang; Xufang Luo; Keith W. Ross; Dongsheng Li 002 (NeurIPS, 2022)

Digital signal extraction approach for cardiotocography image. - Junhong Xiang; Wanrong Yang; Hua Zhang; Fangyu Zhu; Shanshan Pu; Rui Li; Che Wang; Zhonghong Yan; Wang Li (Comput. Methods Programs Biomed., 2022)

On the Convergence of Monte Carlo UCB for Random-Length Episodic MDPs. - Zixuan Dong; Che Wang; Keith W. Ross (CoRR, 2022)

Magnetically actuated gearbox for the wireless control of millimeter-scale robots. - Chong Hong; Ziyu Ren; Che Wang; Mingtong Li; Yingdan Wu; Dewei Tang; Wenqi Hu; Metin Sitti (Sci. Robotics, 2022)

Cross-Modal Audio-Text Retrieval via Sequential Feature Augmentation. - Fuhu Song; Jifeng Hu; Che Wang; Jiao Huang; Haowen Zhang; Yi Wang 102 (CACML, 2023)

Multiple Frequency Bands Temporal State Representation for Deep Reinforcement Learning. - Che Wang; Jifeng Hu; Fuhu Song; Jiao Huang; Zixuan Yang; Yusen Wang (CACML, 2023)

Accurate, Diverse and Multiple Distractor Generation with Mixture of Experts. - Fanyi Qu; Che Wang; Yunfang Wu (NLPCC (1), 2023)

Method for Text Entity Linking in Power Distribution Scheduling Oriented to Power Distribution Network Knowledge Graph. - Xiang Li; Che Wang; Bing Li; Hao Chen; Sizhe Li (CoRR, 2023)

Evaluation of dynamic characteristics of power grid based on GNN and application on knowledge graph. - Hao Pei; Si Lin; Chuanfu Li; Che Wang; Haoming Chen; Sizhe Li (CoRR, 2023)

Pre-training with Synthetic Data Helps Offline Reinforcement Learning. - Zecheng Wang; Che Wang; Zixuan Dong; Keith W. Ross (ICLR, 2024)

RollupNet: Trustless State Channels for Real-Time Cross Rollup Contract Execution. - Ke Wang 061; L. Yue; Jianbo Gao; Che Wang; Zhi Guan; Zhong Chen 001 (INFOCOM (Workshops), 2024)

SolaSim: Clone Detection for Solana Smart Contracts via Program Representation. - Che Wang; Yue Li 037; Jianbo Gao; Ke Wang 061; Jiashuo Zhang; Zhi Guan; Zhong Chen 001 (ICPC, 2024)

ContractTinker: LLM-Empowered Vulnerability Repair for Real-World Smart Contracts. - Che Wang; Jiashuo Zhang; Jianbo Gao; Libin Xia; Zhi Guan; Zhong Chen 001 (ASE, 2024)

XGuard: Detecting Inconsistency Behaviors of Crosschain Bridges. - Ke Wang 061; Yue Li 037; Che Wang; Jianbo Gao; Zhi Guan; Zhong Chen 001 (SIGSOFT FSE Companion, 2024)

Cryptcoder: An Automatic Code Generator for Cryptographic Tasks in Ethereum Smart Contracts. - Libin Xia; Jiashuo Zhang; Che Wang; Zezhong Tan; Jianbo Gao; Zhi Guan; Zhong Chen 001 (SANER, 2024)

Wireless flow-powered miniature robot capable of traversing tubular structures. - Chong Hong; Yingdan Wu; Che Wang; Ziyu Ren; Chunxiang Wang; Zemin Liu; Wenqi Hu; Metin Sitti (Sci. Robotics, 2024)

Robust multi-agent reinforcement learning via Bayesian distributional value estimation. - Xinqi Du; Hechang Chen; Che Wang; Yongheng Xing; Jielong Yang; Philip S. Yu; Yi Chang 001; Lifang He 001 (Pattern Recognit., 2024)

Influence of Supraglacial Lakes on Accuracy of Inversion of Greenland Ice Sheet Surface Melt Data in Different Passive Microwave Bands. - Qian Li; Che Wang; Lu An; Minghu Ding (Remote. Sens., 2024)

FedTop: a constraint-loosed federated learning aggregation method against poisoning attack. - Che Wang; Zhenhao Wu; Jianbo Gao; Jiashuo Zhang; Junjie Xia; Feng Gao; Zhi Guan; Zhong Chen 001 (Frontiers Comput. Sci., 2024)

Machine learning models to further identify advantaged populations that can achieve functional cure of chronic hepatitis B virus infection after receiving Peg-IFN alpha treatment. - Wenting Zhong; Che Wang; Jia Wang; Tianyan Chen (Int. J. Medical Informatics, 2025)

Interpretable personalized surgical recommendation with joint consideration of multiple decisional dimensions. - Zhe Du; Zhaoyang Liu; Linru Fu; Che Wang; Zhijing Sun; Lan Zhu; Ke Deng (npj Digit. Medicine, 2025)

Attackers Are Not the Same! Unveiling the Impact of Feature Distribution on Label Inference Attacks. - Yige Liu; Che Wang; Yiwei Lou; Yongzhi Cao; Hanpin Wang (IEEE Trans. Inf. Forensics Secur., 2025)

Bridging Synthetic-to-Real Gaps: Frequency-Aware Perturbation and Selection for Single-shot Multi-Parametric Mapping Reconstruction. - Linyu Fan; Che Wang; Ming Ye; Qizhi Yang; Zejun Wu; Xinghao Ding; Yue Huang 001; Jianfeng Bao; Shuhui Cai; Congbo Cai (CoRR, 2025)

Demonstrating Multi-Suction Item Picking at Scale via Multi-Modal Learning of Pick Success. - Che Wang; Jeroen van Baar; Chaitanya Mitash; Shuai Li; Dylan Randle; Weiyao Wang 005; Sumedh Sontakke; Kostas E. Bekris; Kapil Katyal (CoRR, 2025)