Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Mingkai He"'
Publikováno v:
Information Sciences. 621:136-155
Publikováno v:
ACM Transactions on Intelligent Systems and Technology. 14:1-22
Heterogeneous sequential recommendation that models sequences of items associated with more than one type of feedback such as examinations and purchases is an emerging topic in the research community, which is also an important problem in many real-w
Publikováno v:
Information Sciences. 608:881-899
Autor:
Meng Wang, Mingkai He, Lujun Zhu, Baopeng Ma, Fudong Zhang, Pengfei Liang, Xiaolian Chao, Zupei Yang, Jiaqing He, Di Wu
Publikováno v:
Journal of Materials Chemistry A. 10:12946-12956
Phase transition from the (cation) ordered δ-phase to the disordered cubic phase upon In/Sb co-doping leading to a significantly enhanced thermoelectric performance in zinc blende-like Cu2SnSe3.
Publikováno v:
Frontiers of Computer Science. 17
Publikováno v:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
Publikováno v:
Sixteenth ACM Conference on Recommender Systems.
Autor:
Dugang Liu, Mingkai He, Jinwei Luo, Jiangxu Lin, Meng Wang, Xiaolian Zhang, Weike Pan, Zhong Ming
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Autor:
Fudong Zhang, Xia Qi, Mingkai He, Fengshan Zheng, Lei Jin, Zhanhui Peng, Xiaolian Chao, Zupei Yang, Di Wu
Publikováno v:
Inorganic chemistry frontiers 9(21), 5562-5571 (2022). doi:10.1039/D2QI01437H
Previous studies have revealed that both Bi doping and Bi2Te3 alloying are successful strategies to optimize the thermoelectric performance of SnTe; however, detailed and thorough investigations on exactly how they differ in modulating the band struc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::324519203a22bcccf13a8e8d9172b1a3
https://hdl.handle.net/2128/33340
https://hdl.handle.net/2128/33340