Xian Yang

According to our database, Xian Yang authored at least 27 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

EHR-KnowGen: Knowledge-enhanced multimodal learning for disease diagnosis generation.

Shuai Niu, Jing Ma, Liang Bai, Zhihua Wang, Li Guo, Xian Yang

Inf. Fusion, February, 2024

An Accuracy-Aware Energy-Efficient Multipath Routing Algorithm for WSNs.

Feng Dan, Yajie Ma, Wenqi Yin, Xian Yang, Fengxing Zhou, Shaowu Lu, Bowen Ning

Sensors, 2024

2023

Exploring the role of edge distribution in graph convolutional networks.

Liancheng He, Liang Bai, Xian Yang, Zhuomin Liang, Jiye Liang

Neural Networks, November, 2023

High-order graph attention network.

Liancheng He, Liang Bai, Xian Yang, Hangyuan Du, Jiye Liang

Inf. Sci., June, 2023

A new contrastive learning framework for reducing the effect of hard negatives.

Wentao Cui, Liang Bai, Xian Yang, Jiye Liang

Knowl. Based Syst., 2023

RTANet: Recommendation Target-Aware Network Embedding.

Qimeng Cao, Qing Yin, Yunya Song, Zhihua Wang, Yujun Chen, Richard Yi Da Xu, Xian Yang

Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

2022

Bayesian data assimilation for estimating instantaneous reproduction numbers during epidemics: Applications to COVID-19.

Xian Yang, Shuo Wang, Yuting Xing, Ling Li, Richard Yi Da Xu, Karl J. Friston, Yike Guo

PLoS Comput. Biol., 2022

Improving Deep Embedded Clustering via Learning Cluster-level Representations.

Qing Yin, Zhihua Wang, Yunya Song, Richard Yida Xu, Shuai Niu, Liang Bai, Yike Guo, Xian Yang

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Effective low capacity status prediction for cloud systems.

Hang Dong, Si Qin, Yong Xu, Bo Qiao, Shandan Zhou, Xian Yang, Chuan Luo, Pu Zhao, Qingwei Lin, Hongyu Zhang, Abulikemu Abuduweili, Sanjay Ramanujan, Karthikeyan Subramanian, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang, Thomas Moscibroda

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records.

Shuai Niu, Qing Yin, Yunya Song, Yike Guo, Xian Yang

Proceedings of the IEEE International Conference on Data Mining, 2021

Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case.

Jingqing Zhang, Luis Bolanos, Tong Li, Ashwani Tanwar, Guilherme Freire, Xian Yang, Julia Ive, Vibhor Gupta, Yike Guo

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Label-dependent and event-guided interpretable disease risk prediction using EHRs.

Shuai Niu, Yunya Song, Qing Yin, Yike Guo, Xian Yang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

An Epidemiological Modelling Approach for Covid19 via Data Assimilation.

Philip Nadler, Shuo Wang, Rossella Arcucci, Xian Yang, Yike Guo

CoRR, 2020

A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19.

Shuo Wang, Xian Yang, Ling Li, Philip Nadler, Rossella Arcucci, Yuan Huang, Zhongzhao Teng, Yike Guo

IEEE Comput. Intell. Mag., 2020

Identifying linked incidents in large-scale online service systems.

Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

2019

Outage Prediction and Diagnosis for Cloud Service Systems.

Yujun Chen, Xian Yang, Qingwei Lin, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang

Proceedings of the World Wide Web Conference, 2019

Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification.

Xiaoyu Zhang, Jingqing Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records.

Jingqing Zhang, Xiaoyu Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

A computational framework for complex disease stratification from multiple large-scale datasets.

Bertrand De Meulder, Diane Lefaudeux, Aruna T. Bansal, Alexander Mazein, Amphun Chaiboonchoe, Hassan Ahmed, Irina Balaur, Mansoor A. S. Saqi, Johann Pellet, Stéphane Ballereau, Nathanaël Lemonnier, Kai Sun, Ioannis Pandis, Xian Yang, Manohara Batuwitage, Kosmas Kretsos, Jonathan van Eyll, Alun Bedding, Timothy Davison, Paul Dodson, Christopher Larminie, Anthony D. Postle, Julie Corfield, Ratko Djukanovic, Kian Fan Chung, Ian M. Adcock, Yike Guo, Peter J. Sterk, Alexander Manta, Anthony Rowe, Frédéric Baribaud, Charles Auffray

BMC Syst. Biol., 2018

2017

Inferring functional connectivity in fMRI using minimum partial correlation.

Lei Nie, Xian Yang, Paul M. Matthews, Zhi-Wei Xu, Yi-Ke Guo

Int. J. Autom. Comput., 2017

2015

The critical regularization value: Incorporating spatial smoothness to enhance signal detection in highly noisy fMRI data.

Xian Yang, Lei Nie, Paul M. Matthews, Valentina Tomassini, Zhiwei Xu, Yike Guo

Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

Minimum Partial Correlation: An Accurate and Parameter-Free Measure of Functional Connectivity in fMRI.

Lei Nie, Xian Yang, Paul M. Matthews, Zhiwei Xu, Yike Guo

Proceedings of the Brain Informatics and Health - 8th International Conference, 2015

2014

An iterative parameter estimation method for biological systems and its parallel implementation.

Xian Yang, Yike Guo, Li Guo

Concurr. Comput. Pract. Exp., 2014

Integration of sparse Bayesian learning and random subspace for fMRI Multivariate Pattern Analysis.

Shulin Yan, Xian Yang, Chao Wu, Yike Guo

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Balancing the Stability and Predictive Performance for Multivariate Voxel Selection in fMRI Study.

Shulin Yan, Xian Yang, Chao Wu, Zhiyun Zheng, Yike Guo

Proceedings of the Brain Informatics and Health - International Conference, 2014

2012

Modelling and performance analysis of clinical pathways using the stochastic process algebra PEPA.

Xian Yang, Rui Han, Yike Guo, Jeremy T. Bradley, Benita Cox, Robert Dickinson, Richard Kitney

BMC Bioinform., 2012

Developing a novel integrated model of p38 MAPK and glucocorticoid signalling pathways.

Alex Holehouse, Xian Yang, Ian M. Adcock, Yike Guo

Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012