Xian Yang

67 papers A* 6A 1B 1C 1Journal 44Unranked 14
YearRankTypeTitle / Venue / Authors
2026 A* conf
Adaptive Evolutionary Fusion for Multi-View Clustering.
AAAI
Yunxiao Zhao, Liang Bai, Xian Yang
2026 A* conf
Attribute-guided Dynamic Prompt Learning for Graph Neural Networks.
AAAI
Zhuomin Liang, Liang Bai, Xian Yang
2026 J jnl
Bipartite Graph Attention-based Clustering for Large-scale scRNA-seq Data.
CoRR
Zhuomin Liang, Liang Bai, Xian Yang
2026 A* conf
CauVQ: Causal Vector Quantization for Graph OOD Generalization.
AAAI
Weihong Zhang, Liang Bai, Hangyuan Du, Xian Yang
2026 J jnl
Data-Efficient Brushstroke Generation with Diffusion Models for Oil Painting.
CoRR
Dantong Qin, Alessandro Bozzon, Xian Yang, Xun Zhang, Yike Guo, Pan Wang
2026 J jnl
LLM-Guided Diagnostic Evidence Alignment for Medical Vision-Language Pretraining under Limited Pairing.
CoRR
Huimin Yan, Liang Bai, Xian Yang, Long Chen
2026 A* conf
Medical Vision-Language Pretraining with LLM-Guided Temporal Supervision.
AAAI
Liang Bai, Zhi Wang, Huimin Yan, Xian Yang
2026 J jnl
Towards Trustworthy Dialogue Systems With Advanced Out-of-Scope Intent Detection Model.
IEEE Trans. Artif. Intell.
Qing Yin, Zhihua Wang, Liang Bai, Yunya Song, Dong-Ling Xu, Xian Yang
2025 J jnl
A decision support system in precision medicine: contrastive multimodal learning for patient stratification.
Ann. Oper. Res.
Qing Yin, Linda Zhong, Yunya Song, Liang Bai, Zhihua Wang, Chen Li, Yida Xu, Xian Yang
2025 J jnl
C-LoRA: Continual Low-Rank Adaptation for Pre-trained Models.
CoRR
Xin Zhang, Liang Bai, Xian Yang, Jiye Liang
2025 J jnl
Contrastive Learning With Enhancing Detailed Information for Pre-Training Vision Transformer.
IEEE Trans. Circuits Syst. Video Technol.
Zhuomin Liang, Liang Bai, Jinyu Fan, Xian Yang, Jiye Liang
2025 J jnl
Endo-CLIP: Progressive Self-Supervised Pre-training on Raw Colonoscopy Records.
CoRR
Yili He, Yan Zhu, Peiyao Fu, Ruijie Yang, Tianyi Chen, Zhihua Wang, Quanlin Li, Pinghong Zhou, Xian Yang, Shuo Wang
2025 — conf
Endo-CLIP: Progressive Self-supervised Pre-training on Raw Colonoscopy Records.
MICCAI (11)
Yili He, Yan Zhu, Peiyao Fu, Ruijie Yang, Tianyi Chen, Zhihua Wang, Quanlin Li, Pinghong Zhou, Xian Yang, Shuo Wang
2025 J jnl
EndoFinder: Online Lesion Retrieval for Explainable Colorectal Polyp Diagnosis Leveraging Latent Scene Representations.
CoRR
Ruijie Yang, Yan Zhu, Peiyao Fu, Yizhe Zhang, Zhihua Wang, Quanlin Li, Pinghong Zhou, Xian Yang, Shuo Wang
2025 J jnl
Generalization Error Bounds for Graph Neural Networks in Unseen Domains.
IEEE Trans. Artif. Intell.
Peiyao Wang, Liang Bai, Xian Yang, Xi Wang, Jiye Liang
2025 J jnl
Graph Contrastive Learning for Fusion of Graph Structure and Attribute Information.
IEEE Trans. Multim.
Zhuomin Liang, Liang Bai, Xian Yang, Jiye Liang
2025 J jnl
Improving Image Contrastive Clustering Through Self-Learning Pairwise Constraints.
IEEE Trans. Neural Networks Learn. Syst.
Yecheng Guo, Liang Bai, Xian Yang, Jiye Liang
2025 — conf
Knowledge-Augmented Multimodal Clinical Rationale Generation for Disease Diagnosis with Small Language Models.
ACL (1)
Shuai Niu, Jing Ma, Hongzhan Lin, Liang Bai, Zhihua Wang, Richard Yi Da Xu, Yunya Song, Xian Yang
2025 J jnl
Label-Semantic-Based Prompt Tuning for Vision Transformer Adaptation in Medical Image Analysis.
IEEE Trans. Circuits Syst. Video Technol.
Yu Bai, Liang Bai, Xian Yang, Jiye Liang
2025 J jnl
Modelling Patient Longitudinal Data for Clinical Decision Support: A Case Study on Emerging AI Healthcare Technologies.
Inf. Syst. Frontiers
Shuai Niu, Jing Ma, Qing Yin, Zhihua Wang, Liang Bai, Xian Yang
2025 J jnl
Multi-Channel Disentangled Graph Neural Networks With Different Types of Self-Constraints.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhuomin Liang, Liang Bai, Xian Yang, Jiye Liang
2025 J jnl
Multi-Grained Vision-and-Language Model for Medical Image and Text Alignment.
IEEE Trans. Multim.
Huimin Yan, Xian Yang, Liang Bai, Jiamin Li, Jiye Liang
2025 J jnl
One-shot synthesis of rare gastrointestinal lesions improves diagnostic accuracy and clinical training.
CoRR
Jia Yu, Yan Zhu, Peiyao Fu, Tianyi Chen, Zhihua Wang, Fei Wu, Quanlin Li, Pinghong Zhou, Shuo Wang, Xian Yang
2025 — conf
ProMedTS: A Self-Supervised, Prompt-Guided Multimodal Approach for Integrating Medical Text and Time Series.
ACL (Findings)
Shuai Niu, Jing Ma, Hongzhan Lin, Liang Bai, Zhihua Wang, Wei Bi, Richard Yi Da Xu, Guo Li, Xian Yang
2025 J jnl
Robust Polyp Detection and Diagnosis Through Compositional Prompt-Guided Diffusion Models.
IEEE Trans. Medical Imaging
Jia Yu, Yan Zhu, Peiyao Fu, Tianyi Chen, Junbo Huang, Quanlin Li, Pinghong Zhou, Zhihua Wang, Fei Wu, Shuo Wang, Xian Yang
2025 J jnl
Robust Polyp Detection and Diagnosis through Compositional Prompt-Guided Diffusion Models.
CoRR
Jia Yu, Yan Zhu, Peiyao Fu, Tianyi Chen, Junbo Huang, Quanlin Li, Pinghong Zhou, Zhihua Wang, Fei Wu, Shuo Wang, Xian Yang
2025 J jnl
The spread of pro- and anti-vaccine views by coordinated communities on facebook during COVID-19 pandemic.
J. Comput. Soc. Sci.
Yunya Song, Yin Zhang, Sheng Zou, Xian Yang, Qintao Huang
2025 J jnl
Unlocking Multimodal Integration in EHRs: A Prompt Learning Framework for Language and Time Series Fusion.
CoRR
Shuai Niu, Jing Ma, Hongzhan Lin, Liang Bai, Zhihua Wang, Wei Bi, Yida Xu, Guo Li, Xian Yang
2024 J jnl
A Data Dissemination Algorithm Based on Maximization of Causal Path Entropy in Vehicular Ad Hoc Networks.
IEEE Internet Things J.
Dan Gu, Yajie Ma, Feng Dan, Xian Yang, Fengxing Zhou, Baokang Yan, Shaowu Lu, Bowen Ning
2024 J jnl
A deep clustering-based state-space model for improved disease risk prediction in personalized healthcare.
Ann. Oper. Res.
Shuai Niu, Jing Ma, Qing Yin, Liang Bai, Chen Li, Xian Yang
2024 J jnl
An Accuracy-Aware Energy-Efficient Multipath Routing Algorithm for WSNs.
Sensors
Feng Dan, Yajie Ma, Wenqi Yin, Xian Yang, Fengxing Zhou, Shaowu Lu, Bowen Ning
2024 J jnl
EHR-KnowGen: Knowledge-enhanced multimodal learning for disease diagnosis generation.
Inf. Fusion
Shuai Niu, Jing Ma, Liang Bai, Zhihua Wang, Li Guo, Xian Yang
2024 — conf
EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis.
MICCAI (10)
Ruijie Yang, Yan Zhu, Peiyao Fu, Yizhe Zhang, Zhihua Wang, Quanlin Li, Pinghong Zhou, Xian Yang, Shuo Wang
2024 J jnl
EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis.
CoRR
Ruijie Yang, Yan Zhu, Peiyao Fu, Yizhe Zhang, Zhihua Wang, Quanlin Li, Pinghong Zhou, Xian Yang, Shuo Wang
2024 J jnl
Enhancing Drug Recommendations Via Heterogeneous Graph Representation Learning in EHR Networks.
IEEE Trans. Knowl. Data Eng.
Haijun Zhang, Xian Yang, Liang Bai, Jiye Liang
2024 J jnl
Enhancing healthcare decision support through explainable AI models for risk prediction.
Decis. Support Syst.
Shuai Niu, Qing Yin, Jing Ma, Yunya Song, Yida Xu, Liang Bai, Wei Pan, Xian Yang
2024 J jnl
Multimodal Clinical Reasoning through Knowledge-augmented Rationale Generation.
CoRR
Shuai Niu, Jing Ma, Liang Bai, Zhihua Wang, Yida Xu, Yunya Song, Xian Yang
2023 J jnl
A new contrastive learning framework for reducing the effect of hard negatives.
Knowl. Based Syst.
Wentao Cui, Liang Bai, Xian Yang, Jiye Liang
2023 J jnl
Exploring the role of edge distribution in graph convolutional networks.
Neural Networks
Liancheng He, Liang Bai, Xian Yang, Zhuomin Liang, Jiye Liang
2023 J jnl
High-order graph attention network.
Inf. Sci.
Liancheng He, Liang Bai, Xian Yang, Hangyuan Du, Jiye Liang
2023 A conf
RTANet: Recommendation Target-Aware Network Embedding.
ICWSM
Qimeng Cao, Qing Yin, Yunya Song, Zhihua Wang, Yujun Chen, Richard Yi Da Xu, Xian Yang
2022 J jnl
Bayesian data assimilation for estimating instantaneous reproduction numbers during epidemics: Applications to COVID-19.
PLoS Comput. Biol.
Xian Yang, Shuo Wang, Yuting Xing, Ling Li, Richard Yi Da Xu, Karl J. Friston, Yike Guo
2022 B conf
Improving Deep Embedded Clustering via Learning Cluster-level Representations.
COLING
Qing Yin, Zhihua Wang, Yunya Song, Richard Yida Xu, Shuai Niu, Liang Bai, Yike Guo, Xian Yang
2022 J jnl
Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records.
CoRR
Shuai Niu, Qing Yin, Yunya Song, Yike Guo, Xian Yang
2022 J jnl
Label-dependent and event-guided interpretable disease risk prediction using EHRs.
CoRR
Shuai Niu, Yunya Song, Qing Yin, Yike Guo, Xian Yang
2021 — conf
Effective low capacity status prediction for cloud systems.
ESEC/SIGSOFT FSE
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
2021 A* conf
Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records.
ICDM
Shuai Niu, Qing Yin, Yunya Song, Yike Guo, Xian Yang
2021 — conf
Label-dependent and event-guided interpretable disease risk prediction using EHRs.
BIBM
Shuai Niu, Yunya Song, Qing Yin, Yike Guo, Xian Yang
2021 — conf
Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case.
EMNLP (1)
Jingqing Zhang, Luis Bolanos, Tong Li, Ashwani Tanwar, Guilherme Freire, Xian Yang, Julia Ive, Vibhor Gupta, Yike Guo
2021 J jnl
Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case.
CoRR
Jingqing Zhang, Luis Bolanos, Tong Li, Ashwani Tanwar, Guilherme Freire, Xian Yang, Julia Ive, Vibhor Gupta, Yike Guo
2020 J jnl
A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19.
IEEE Comput. Intell. Mag.
Shuo Wang, Xian Yang, Ling Li, Philip Nadler, Rossella Arcucci, Yuan Huang, Zhongzhao Teng, Yike Guo
2020 J jnl
An Epidemiological Modelling Approach for Covid19 via Data Assimilation.
CoRR
Philip Nadler, Shuo Wang, Rossella Arcucci, Xian Yang, Yike Guo
2020 — conf
Identifying linked incidents in large-scale online service systems.
ESEC/SIGSOFT FSE
Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang
2019 — conf
Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification.
BIBM
Xiaoyu Zhang, Jingqing Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo
2019 J jnl
Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification.
CoRR
Xiaoyu Zhang, Jingqing Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo
2019 A* conf
Outage Prediction and Diagnosis for Cloud Service Systems.
WWW
Yujun Chen, Xian Yang, Qingwei Lin, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang
2019 — conf
Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records.
BIBM
Jingqing Zhang, Xiaoyu Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo
2019 J jnl
Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records.
CoRR
Jingqing Zhang, Xiaoyu Zhang, Kai Sun, Xian Yang, Chengliang Dai, Yike Guo
2018 J jnl
A computational framework for complex disease stratification from multiple large-scale datasets.
BMC Syst. Biol.
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
2017 J jnl
Inferring functional connectivity in fMRI using minimum partial correlation.
Int. J. Autom. Comput.
Lei Nie, Xian Yang, Paul M. Matthews, Zhi-Wei Xu, Yi-Ke Guo
2015 — conf
Minimum Partial Correlation: An Accurate and Parameter-Free Measure of Functional Connectivity in fMRI.
BIH
Lei Nie, Xian Yang, Paul M. Matthews, Zhiwei Xu, Yike Guo
2015 — conf
The critical regularization value: Incorporating spatial smoothness to enhance signal detection in highly noisy fMRI data.
NER
Xian Yang, Lei Nie, Paul M. Matthews, Valentina Tomassini, Zhiwei Xu, Yike Guo
2014 J jnl
An iterative parameter estimation method for biological systems and its parallel implementation.
Concurr. Comput. Pract. Exp.
Xian Yang, Yike Guo, Li Guo
2014 — conf
Balancing the Stability and Predictive Performance for Multivariate Voxel Selection in fMRI Study.
Brain Informatics and Health
Shulin Yan, Xian Yang, Chao Wu, Zhiyun Zheng, Yike Guo
2014 — conf
Integration of sparse Bayesian learning and random subspace for fMRI Multivariate Pattern Analysis.
EMBC
Shulin Yan, Xian Yang, Chao Wu, Yike Guo
2012 C conf
Developing a novel integrated model of p38 MAPK and glucocorticoid signalling pathways.
CIBCB
Alex Holehouse, Xian Yang, Ian M. Adcock, Yike Guo
2012 J jnl
Modelling and performance analysis of clinical pathways using the stochastic process algebra PEPA.
BMC Bioinform.
Xian Yang, Rui Han, Yike Guo, Jeremy T. Bradley, Benita Cox, Robert Dickinson, Richard Kitney