1 code implementation • 23 Feb 2022 • Yan Lyu, Sunhao Dai, Peng Wu, Quanyu Dai, yuhao deng, Wenjie Hu, Zhenhua Dong, Jun Xu, Shengyu Zhu, Xiao-Hua Zhou
To better support the studies of causal inference and further explanations in recommender systems, we propose a novel semi-synthetic data generation framework for recommender systems where causal graphical models with missingness are employed to describe the causal mechanism of practical recommendation scenarios.
no code implementations • 18 Jan 2022 • Peng Wu, Haoxuan Li, yuhao deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou
Recently, recommender system (RS) based on causal inference has gained much attention in the industrial community, as well as the states of the art performance in many prediction and debiasing tasks.
no code implementations • 20 Sep 2020 • yuhao deng
Sublimable materials facilitate the TEM sample preparation of oil-soluble nanomaterials.
no code implementations • 20 Jul 2020 • yuhao deng
They have been used in a variety of devices with performance approaching or over the devices based on conventional materials.
no code implementations • 12 Jul 2020 • yuhao deng
They have been used in a variety of devices with performance approaching or over the devices based on conventional materials.
no code implementations • 8 Jan 2018 • Zhenqian Yang, yuhao deng
We find that a suitable thickness of the perovskite SC‐TF is crucial in device performance.