UE-based optimization for self-service community healthcare kiosk. - Wei Liu; Yongqiang Lu 001; Cai Chen; Yuanyuan Du; Fanxi Yan; Shuqi Xu (Healthcom, 2012)

Neural network state estimation for full quantum state tomography. - Qian Xu; Shuqi Xu (CoRR, 2018)

Recommending investors for new startups by integrating network diffusion and investors' domain preference. - Shuqi Xu; Qian-Ming Zhang; Linyuan Lü; Manuel Sebastian Mariani (Inf. Sci., 2020)

Unbiased evaluation of ranking metrics reveals consistent performance in science and technology citation data. - Shuqi Xu; Manuel Sebastian Mariani; Linyuan Lü; Matús Medo (J. Informetrics, 2020)

Citations or dollars? Early signals of a firm's research success. - Shuqi Xu; Manuel Sebastian Mariani; Linyuan Lü; Lorenzo Napolitano; Emanuele Pugliese; Andrea Zaccaria (CoRR, 2021)

Does China's power supply chain systems perform well? A data-based path-index meta-frontier analysis. - Jiasen Sun; Shuqi Xu; Guo Li 001 (Ind. Manag. Data Syst., 2021)

Analyzing sustainable power supply chain performance: Evidence from China's provincial regions. - Jiasen Sun; Shuqi Xu; Guo Li 001 (J. Enterp. Inf. Manag., 2021)

The local structure of citation networks uncovers expert-selected milestone papers. - Jingjing Wang; Shuqi Xu; Manuel Sebastian Mariani; Linyuan Lü (J. Informetrics, 2021)

Donald J. Trump's Presidency in Cyberspace: A Case Study of Social Perception and Social Influence in Digital Oligarchy Era. - Xiaolong Zheng 001; Xiao Wang 002; Zepeng Li; Rongrong Jing; Shuqi Xu; Tao Wang 172; Lifang Li; Zhenwen Zhang; Qingpeng Zhang; Huaiguang Jiang; Zhihua Guo; Xiaowei Zhang 001; et al. (IEEE Trans. Comput. Soc. Syst., 2021)

Efficiency evaluation of China's power industry: A data-driven approach by opening two "black boxes". - Qingyuan Zhu; Shuqi Xu; Xingchen Li; Feng Li 010; Wei Chen (Comput. Ind. Eng., 2022)

Forecasting countries' gross domestic product from patent data. - Yucheng Ye; Shuqi Xu; Manuel Sebastian Mariani; Linyuan Lü (CoRR, 2022)

Curricular Subgoals for Inverse Reinforcement Learning. - Shunyu Liu 001; Yunpeng Qing; Shuqi Xu; Hongyan Wu; Jiangtao Zhang; Jingyuan Cong; Tianhao Chen; Yunfu Liu; Mingli Song (CoRR, 2023)

Cost effective approach to identify multiple influential spreaders based on the cycle structure in networks. - Wenfeng Shi; Shuqi Xu; Tianlong Fan; Linyuan Lü (Sci. China Inf. Sci., 2023)

A universal optimization framework based on cycle ranking for influence maximization in complex networks. - Wenfeng Shi; Tianlong Fan; Shuqi Xu; Rongmei Yang; Linyuan Lü (CoRR, 2024)

Uncovering key predictors of high-growth firms via explainable machine learning. - Yiwei Huang; Shuqi Xu; Linyuan Lü; Andrea Zaccaria; Manuel Sebastian Mariani (CoRR, 2024)

A recursive polynomial grey prediction model with adaptive structure and its application. - Lianyi Liu; Sifeng Liu; Yingjie Yang; Zhigeng Fang; Shuqi Xu (Expert Syst. Appl., 2024)

Curricular Subgoals for Inverse Reinforcement Learning. - Shunyu Liu 001; Yunpeng Qing; Shuqi Xu; Hongyan Wu; Jiangtao Zhang; Jingyuan Cong; Tianhao Chen; Yun-Fu Liu; Mingli Song (IEEE Trans. Intell. Transp. Syst., 2025)

Big data in data envelopment analysis with undesirable outputs based on simulation and environmental-health matching data of Chinese industrial enterprises. - Yuanxiang Zhou; Shan Wang; Shuqi Xu; Qingyuan Zhu (Ann. Oper. Res., 2025)

Learning to Perform Trajectory Generation From Low-Quality Demonstrations. - Shuqi Xu; Hao Zhang 008; Zhuping Wang (IEEE Trans. Neural Networks Learn. Syst., 2025)