1 code implementation • 10 Sep 2023 • Chengliang Zhong, Yuhang Zheng, Yupeng Zheng, Hao Zhao, Li Yi, Xiaodong Mu, Ling Wang, Pengfei Li, Guyue Zhou, Chao Yang, Xinliang Zhang, Jian Zhao
To address this issue, the Transporter method was introduced for 2D data, which reconstructs the target frame from the source frame to incorporate both spatial and temporal information.
no code implementations • 4 Jul 2023 • Rui Wang, Zhiming Zhou, Tao Zhang, Ling Wang, Xin Xu, Xiangke Liao, Kaiwen Li
The proposed model, which combines the graph neural network and the pointer mechanism, can effectively map from the solver state to the branching variable decisions.
no code implementations • 3 Jul 2023 • Weiran Guo, Guanjun Liu, Ziyuan Zhou, Ling Wang, Jiacun Wang
To increase the robustness of multi-agent reinforcement learning (MARL) algorithms, we train models using a variety of attacks in this research.
1 code implementation • 17 May 2023 • Wenfang Sun, Yingjun Du, XianTong Zhen, Fan Wang, Ling Wang, Cees G. M. Snoek
To account for the uncertainty caused by the limited training tasks, we propose a variational MetaModulation where the modulation parameters are treated as latent variables.
1 code implementation • 2 Feb 2023 • Yupeng Zheng, Chengliang Zhong, Pengfei Li, Huan-ang Gao, Yuhang Zheng, Bu Jin, Ling Wang, Hao Zhao, Guyue Zhou, Qichao Zhang, Dongbin Zhao
By fitting a bridge-shaped curve to the illumination map distribution, both regions are suppressed and two tasks are bridged naturally.
1 code implementation • 2 Dec 2022 • Wenhua Li, Xingyi Yao, Kaiwen Li, Rui Wang, Tao Zhang, Ling Wang
To address the above two issues, in this study, a novel coevolutionary framework termed CoMMEA for multimodal multi-objective optimization is proposed to better obtain both global and local PSs, and simultaneously, to improve the convergence performance in dealing with high-dimension MMOPs.
no code implementations • 17 Sep 2022 • Shunming Tao, Yihao Chen, Jingxing Wu, Duancheng Zhao, Hanxuan Cai, Ling Wang
Virus infection is one of the major diseases that seriously threaten human health.
1 code implementation • 30 Aug 2022 • Weimin Zhu, Yi Zhang, Duancheng Zhao, Jianrong Xu, Ling Wang
Elucidating and accurately predicting the druggability and bioactivities of molecules plays a pivotal role in drug design and discovery and remains an open challenge.
no code implementations • 18 Jul 2022 • Wenhua Li, Shengjun Huang, Tao Zhang, Rui Wang, Ling Wang
Binary matrix optimization commonly arise in the real world, e. g., multi-microgrid network structure design problem (MGNSDP), which is to minimize the total length of the power supply line under certain constraints.
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 • CVPR 2022 • Dong Nie, Rui Lan, Ling Wang, Xiaofeng Ren
Semantic segmentation of point cloud data is a critical task for autonomous driving and other applications.
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.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
+1
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, Ruchen Zhang, Ling Wang, Jian Li
In a set of experiments on three real-world financial markets: stocks, cryptocurrencies, and ETFs, LARA significantly outperforms several machine learning based methods on the Qlib quantitative investment platform.
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.