no code implementations • 8 May 2022 • Hanxuan Cai, Huimin Zhang, Duancheng Zhao, Jingxing Wu, Ling Wang
In addition, we analyzed the influence of different molecular fingerprints, and the effects of molecular graphs and molecular fingerprints on the performance of the FP-GNN model.
no code implementations • 25 Apr 2022 • Kaiwen Li, Tao Zhang, Rui Wang, Ling Wang
The model is trained using a deep reinforcement learning method offline, and is used to optimize the UAV routing problem online.
no code implementations • 24 Feb 2022 • Shengzhe Wang, Ling Wang, ZhiHao Lin, Xi Zheng
We are the first to use the temporal convolution filters as the backbone to construct a domain adaptation network architecture which is suitable for deep learning regression models with very limited training data of the target domain.
no code implementations • 25 Dec 2021 • Isaac Ronald Ward, Ling Wang, Juan lu, Mohammed Bennamoun, Girish Dwivedi, Frank M Sanfilippo
Using XAI, we quantified the contribution that specific drugs had on these ACS predictions, thus creating an XAI-based technique for pharmacovigilance monitoring, using ACS as an example of the adverse outcome to detect.
no code implementations • 13 Dec 2021 • Ling Wang, Mei Choi Chiu, Hoi Ying Wong
We also use a numerical study to reveal the influence of LRD on equilibrium strategies.
no code implementations • 13 Dec 2021 • Ling Wang, Kexin Chen, Mei Choi Chiu, Hoi Ying Wong
The length of the waiting period is related to the opportunity cost, return, and risk of the expanded business.
no code implementations • 26 Jul 2021 • Liang Zeng, Lei Wang, Hui Niu, Jian Li, Ruchen Zhang, Zhonghao Dai, Dewei Zhu, Ling Wang
Price movement forecasting aims at predicting the future trends of financial assets based on the current market conditions and other relevant information.
no code implementations • 16 Apr 2021 • Weiqi Shu, Ling Wang, Bolong Liu, Jie Liu
How to measure LAI accurately and efficiently is the key to the crop yield estimation problem.
no code implementations • 3 Feb 2021 • Yu Deng, Ling Wang, Chen Zhao, Shaojie Tang, Xiaoguang Cheng, Hong-Wen Deng, Weihua Zhou
In this study, we proposed an approach based on deep learning for the automatic extraction of the periosteal and endosteal contours of proximal femur in order to differentiate cortical and trabecular bone compartments.
no code implementations • 15 Oct 2020 • Ling Wang, Cheng Zhang, Zejian Luo, ChenGuang Liu, Jie Liu, Xi Zheng, Athanasios Vasilakos
To reduce the computational cost without loss of generality, we present a defense strategy called a progressive defense against adversarial attacks (PDAAA) for efficiently and effectively filtering out the adversarial pixel mutations, which could mislead the neural network towards erroneous outputs, without a-priori knowledge about the attack type.
no code implementations • 21 Sep 2020 • Ling Wang, Mei Choi Chiu, Hoi Ying Wong
While abundant empirical studies support the long-range dependence (LRD) of mortality rates, the corresponding impact on mortality securities are largely unknown due to the lack of appropriate tractable models for valuation and risk management purposes.
no code implementations • 2 Aug 2020 • Yu-Jun Zheng, Xin Chen, Tie-Er Gan, Min-Xia Zhang, Wei-Guo Sheng, Ling Wang
In this paper, we present an approach that first transforms the original high-dimensional, constrained multiobjective optimization problem to a low-dimensional, unconstrained multiobjective optimization problem, and then evaluates each solution to the transformed problem by solving a set of simple single-objective optimization subproblems, such that the problem can be efficiently solved by existing evolutionary multiobjective algorithms.
no code implementations • 31 Mar 2020 • Meiyun Xia, Pengfei Xu, Yuanbin Yang, Wenyu Jiang, Zehua Wang, Xiaolei Gu, Mingxi Yang, Deyu Li, Shuyu Li, Guijun Dong, Ling Wang, Daifa Wang
Neurofeedback cognitive training is a promising tool used to promote cognitive functions effectively and efficiently.
no code implementations • 1 Dec 2019 • Tinghao Zhang, Jingxu Li, Jingfeng Li, Ling Wang, Feng Li, Jie Liu
Greenhouse environment is the key to influence crops production.
no code implementations • 2 Aug 2019 • Hongliang Duan, Ling Wang, Chengyun Zhang, Jianjun Li
We cast retrosynthesis as a machine translation problem by introducing a special Tensor2Tensor, an entire attention-based and fully data-driven model.
no code implementations • 9 Nov 2018 • Qiming Zou, Ling Wang, Ke Lu, Yu Li
Direct policy search is one of the most important algorithm of reinforcement learning.