no code implementations • 23 Jan 2018 • Liang Xiao, Donghua Jiang, Dongjin Xu, Ning An
In order to stimulate secure sensing for Internet of Things (IoT) applications such as healthcare and traffic monitoring, mobile crowdsensing (MCS) systems have to address security threats, such as jamming, spoofing and faked sensing attacks, during both the sensing and the information exchange processes in large-scale dynamic and heterogenous networks.
no code implementations • 30 May 2019 • Ning An, Huitong Ding, Jiaoyun Yang, Rhoda Au, Ting Fang Alvin Ang
The proposed deep ensemble learning framework is used for Alzheimers disease classification.
no code implementations • 11 Mar 2020 • Ning An, Liuqi Jin, Huitong Ding, Jiaoyun Yang, Jing Yuan
Besides identifying a proteomic risk marker and further reinforce the link between metabolic risk factors and Alzheimer disease, this paper also suggests that apidonectin-linked pathways are a possible therapeutic drug target.
no code implementations • 6 Oct 2022 • Kun Yi, Qi Zhang, Liang Hu, Hui He, Ning An, Longbing Cao, Zhendong Niu
The key problem in multivariate time series (MTS) analysis and forecasting aims to disclose the underlying couplings between variables that drive the co-movements.
no code implementations • 2 Dec 2022 • Hong Ming, Jiaoyun Yang, Lili Jiang, Yan Pan, Ning An
Leveraging contextual dependency to distinguish nested entities, we propose a Biaffine-based Contrastive Learning (BCL) framework.
no code implementations • 2 Jul 2023 • Jianxun Ren, Ning An, Youjia Zhang, Danyang Wang, Zhenyu Sun, Cong Lin, Weigang Cui, Weiwei Wang, Ying Zhou, Wei zhang, Qingyu Hu, Ping Zhang, Dan Hu, Danhong Wang, Hesheng Liu
Cortical surface registration plays a crucial role in aligning cortical functional and anatomical features across individuals.
1 code implementation • NeurIPS 2023 • Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Defu Lian, Ning An, Longbing Cao, Zhendong Niu
FreTS mainly involves two stages, (i) Domain Conversion, that transforms time-domain signals into complex numbers of frequency domain; (ii) Frequency Learning, that performs our redesigned MLPs for the learning of real and imaginary part of frequency components.
1 code implementation • 9 Jan 2024 • Jiaqi Wang, Yuying Chang, Zhong Li, Ning An, Qi Ma, Lei Hei, Haibo Luo, Yifei Lu, Feiliang Ren
Large language models have exhibited robust performance across diverse natural language processing tasks.
no code implementations • 23 Feb 2024 • Kun Yi, Qi Zhang, Hui He, Kaize Shi, Liang Hu, Ning An, Zhendong Niu
Multivariate time series (MTS) forecasting is crucial in many real-world applications.