@article{chen_jiang_liu_wang_zhang_xie_liang_xiao_song_2022, title={Rule mining over knowledge graphs via reinforcement learning}, volume={242}, ISSN={["1872-7409"]}, DOI={10.1016/j.knosys.2022.108371}, abstractNote={Knowledge graphs (KGs) are an important source repository for a wide range of applications and rule mining from KGs recently attracts wide research interest in the KG-related research community. Many solutions have been proposed for the rule mining from large-scale KGs, which however are limited in the inefficiency of rule generation and ineffectiveness of rule evaluation. To solve these problems, in this paper we propose a generation-then-evaluation rule mining approach guided by reinforcement learning. Specifically, a two-phased framework is designed. The first phase aims to train a reinforcement learning agent for rule generation from KGs, and the second is to utilize the value function of the agent to guide the step-by-step rule generation. We conduct extensive experiments on several datasets and the results prove that our rule mining solution achieves state-of-the-art performance in terms of efficiency and effectiveness.}, journal={KNOWLEDGE-BASED SYSTEMS}, author={Chen, Lihan and Jiang, Sihang and Liu, Jingping and Wang, Chao and Zhang, Sheng and Xie, Chenhao and Liang, Jiaqing and Xiao, Yanghua and Song, Rui}, year={2022}, month={Apr} } @article{shi_zhang_lu_song_2021, title={Statistical inference of the value function for reinforcement learning in infinite-horizon settings}, volume={12}, ISSN={["1467-9868"]}, DOI={10.1111/rssb.12465}, abstractNote={Abstract}, journal={JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY}, author={Shi, Chengchun and Zhang, Sheng and Lu, Wenbin and Song, Rui}, year={2021}, month={Dec} } @article{chandra_zhang_gorman_2007, title={An effective, orthogonal deprotection strategy for differentially functionalized, linear and Y-shaped oligo phenylene ethynylenes}, volume={63}, ISSN={["1464-5416"]}, DOI={10.1016/j.tet.2007.05.006}, abstractNote={Several methodologies for the selective deprotection acetylenes have been reported previously. However, as is shown here, they are often not reliable or convenient. Here, an approach is reported that is efficient and general. Use of this approach to synthesize several two- and three-armed oligo(phenylene ethynylene) molecules with differentiated end groups is reported. In addition, preliminary characterization of the fluorescent properties of some of these molecules and their ability to form self-assembled monolayers (SAMs) is reported.}, number={30}, journal={TETRAHEDRON}, author={Chandra, Kusum L. and Zhang, Sheng and Gorman, Christopher B.}, year={2007}, month={Jul}, pages={7120–7132} } @article{zhang_chandra_gorman_2007, title={Self-Assembled Monolayers of Terminal Alkynes on Gold}, volume={129}, ISSN={0002-7863 1520-5126}, url={http://dx.doi.org/10.1021/ja0704380}, DOI={10.1021/ja0704380}, abstractNote={Terminal acetylenes form self-assembled monolayers (SAMs) on gold substrates and nanoparticles that are relatively densely packed and stable.}, number={16}, journal={Journal of the American Chemical Society}, publisher={American Chemical Society (ACS)}, author={Zhang, Sheng and Chandra, Kusum L. and Gorman, Christopher B.}, year={2007}, month={Apr}, pages={4876–4877} } @article{zhang_cardona_echegoyen_2006, title={Ion recognition properties of self-assembled monolayers (SAMs)}, number={43}, journal={Chemical Communications (Cambridge, England)}, author={Zhang, S. and Cardona, C. M. and Echegoyen, L.}, year={2006}, pages={4461–4473} }