362 citations · 435 across the 10 of their papers we have counts for
10 papers
Uncovering multi-technology convergence patterns with hypergraphs: Evolution and prediction using patent data
Yiwei Huang, Shuqi Xu, Shimin Cai +1
Technology convergence integrates distinct domains to create novel combinations, driving radical innovation that reshapes markets and industries. However, most approaches rely on p…
Uncovering key predictors of high-growth firms via explainable machine learning
Yiwei Huang, Shuqi Xu, Linyuan Lü +2
Predicting high-growth firms has attracted increasing interest from the technological forecasting and machine learning communities. Most existing studies primarily utilize financia…
A universal optimization framework based on cycle ranking for influence maximization in complex networks
Wenfeng Shi, Tianlong Fan, Shuqi Xu +2
Influence maximization aims to identify a set of influential individuals, referred to as influencers, as information sources to maximize the spread of information within networks,…
Stock network inference: A framework for market analysis from topology perspective
Yijie Teng, Rongmei Yang, Shuqi Xu +1
From a complex network perspective, investigating the stock market holds paramount significance as it enables the systematic revelation of topological features inherent in the mark…
Curricular Subgoals for Inverse Reinforcement Learning
Shunyu Liu, Yunpeng Qing, Shuqi Xu +6
Inverse Reinforcement Learning (IRL) aims to reconstruct the reward function from expert demonstrations to facilitate policy learning, and has demonstrated its remarkable success i…
Forecasting countries' gross domestic product from patent data
Yucheng Ye, Shuqi Xu, Manuel Sebastian Mariani +1
Recent strides in economic complexity have shown that the future economic development of nations can be predicted with a single "economic fitness" variable, which captures countrie…
Citations or dollars? Early signals of a firm's research success
Shuqi Xu, Manuel S. Mariani, Linyuan Lü +3
Scientific and technological progress is largely driven by firms in many domains, including artificial intelligence and vaccine development. However, we do not know yet whether the…
Percolation on complex networks: Theory and application
Ming Li, Run-Ran Liu, Linyuan Lü +3
In the last two decades, network science has blossomed and influenced various fields, such as statistical physics, computer science, biology and sociology, from the perspective of…
Recommending investors for new startups by integrating network diffusion and investors' domain preference
Shuqi Xu, Qianming Zhang, Linyuan Lv +1
Over the past decade, many startups have sprung up, which create a huge demand for financial support from venture investors. However, due to the information asymmetry between inves…
Unbiased evaluation of ranking metrics reveals consistent performance in science and technology citation data
Shuqi Xu, Manuel Sebastian Mariani, Linyuan Lü +1
Despite the increasing use of citation-based metrics for research evaluation purposes, we do not know yet which metrics best deliver on their promise to gauge the significance of a…