Jing-Cheng Shi

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Subset selection that selects a few variables from a large set is a fundamental problem in many areas. The recently emerged Pareto Optimization for Subset Selection (POSS) method is a powerful approximation solver for this problem. However, POSS is not readily parallelizable, restricting its large-scale applications on modern computing architectures. In(More)
OBJECTIVE To explore the imaging and clinical characteristics and related risk factors of patients with coronary artery stenosis located proximally to myocardial bridging. METHODS This study enrolled 603 patients with angiography evidenced myocardial bridging-mural coronary artery between May 2004 to May 2009. Angiographic and clinic data were collected(More)
This paper considers the problem of minimizing the ratio of two set functions, i.e., f/g. Previous work assumed monotone and submodular of the two functions, while we consider a more general situation where g is not necessarily submodular. We derive that the greedy approach GreedRatio, as a fixed time algorithm, achieves a |X ∗| (1+(|X∗|−1)(1−κf ))γ(g)(More)
OBJECTIVE To explore the clinical predictive factors of coronary artery stenosis located distally to myocardial bridging (MB). METHODS A total of 603 patients with MB-mural coronary artery (MB-MCA) diagnosed by angiography initially were enrolled during May 2004 to May 2009. Their angiographic and clinical data were collected according to an uniform(More)
OBJECTIVE To develop a specific quality of life (QOL) scale for Chinese patients with benign prostatic hyperplasia (BPH). METHODS The scale was developed with the programmed decision methods. The item pool was certified by experts. Five methods were used in item selection after a pilot study for which 256 BPH patients had been recruited. The scale was(More)
Multi-objective evolutionary algorithms (MOEAs) can be mainly divided into set approximation methods and decomposition methods. The former approximates the Pareto front by the whole population directly, while the latter solves decomposed subproblems. The theoretical understanding of these methods is, however, quite insufficient. In this paper, we try to(More)
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