no code implementations • 26 Apr 2024 • Saud Alghumayjan, Jiajun Han, Ningkun Zheng, Ming Yi, Bolun Xu
This paper presents an integrated model for bidding energy storage in day-ahead and real-time markets to maximize profits.
no code implementations • 21 Apr 2023 • Xiaolei Liu, Ming Yi, Kangyi Ding, Bangzhou Xin, Yixiao Xu, Li Yan, Chao Shen
Experimental results show that RSBA achieves a 99. 83\% attack success rate in black-box scenarios.
no code implementations • 7 Jul 2022 • Ming Yi, Meng Wang
Compared with deterministic dictionary learning, the Bayesian dictionary learning-based approach provides the uncertainty measure for the disaggregation results, at the cost of increased computational complexity.
no code implementations • SemEval (NAACL) 2022 • Da Li, Ming Yi, Yukai He
Women are influential online, especially in image-based social media such as Twitter and Instagram.
1 code implementation • 13 Jan 2022 • Da Li, Sen yang, Kele Xu, Ming Yi, Yukai He, Huaimin Wang
To demonstrate the effectiveness of our method, we conduct extensive experiments on three widely-used datasets, WN18RR, FB15k-237, and UMLS.
Ranked #1 on Link Prediction on UMLS
no code implementations • 11 Mar 2021 • Jianwei Huang, Zhicai Wang, Hongsheng Pang, Han Wu, Huibo Cao, Sung-Kwan Mo, Avinash Rustagi, A. F. Kemper, Meng Wang, Ming Yi, R. J. Birgeneau
$A$Co$_2$Se$_2$ ($A$=K, Rb, Cs) is a homologue of the iron-based superconductor, $A$Fe$_2$Se$_2$.
Superconductivity Materials Science