Developing a novel integrated model of p38 MAPK and glucocorticoid signalling pathways. - Alex Holehouse; Xian Yang 001; Ian M. Adcock; Yike Guo (CIBCB, 2012)

Modelling and performance analysis of clinical pathways using the stochastic process algebra PEPA. - Xian Yang 001; Rui Han 001; Yike Guo; Jeremy T. Bradley; Benita Cox; Robert Dickinson; Richard Kitney (BMC Bioinform., 2012)

Balancing the Stability and Predictive Performance for Multivariate Voxel Selection in fMRI Study. - Shulin Yan; Xian Yang 001; Chao Wu 001; Zhiyun Zheng; Yike Guo (Brain Informatics and Health, 2014)

Integration of sparse Bayesian learning and random subspace for fMRI Multivariate Pattern Analysis. - Shulin Yan; Xian Yang 001; Chao Wu 001; Yike Guo (EMBC, 2014)

An iterative parameter estimation method for biological systems and its parallel implementation. - Xian Yang 001; Yike Guo; Li Guo 002 (Concurr. Comput. Pract. Exp., 2014)

Minimum Partial Correlation: An Accurate and Parameter-Free Measure of Functional Connectivity in fMRI. - Lei Nie; Xian Yang 001; Paul M. Matthews; Zhiwei Xu; Yike Guo (BIH, 2015)

The critical regularization value: Incorporating spatial smoothness to enhance signal detection in highly noisy fMRI data. - Xian Yang 001; Lei Nie; Paul M. Matthews; Valentina Tomassini; Zhiwei Xu; Yike Guo (NER, 2015)

Inferring functional connectivity in fMRI using minimum partial correlation. - Lei Nie; Xian Yang 001; Paul M. Matthews; Zhi-Wei Xu; Yi-Ke Guo (Int. J. Autom. Comput., 2017)

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 005; et al. (BMC Syst. Biol., 2018)

Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records. - Jingqing Zhang; Xiaoyu Zhang 008; Kai Sun 005; Xian Yang 001; Chengliang Dai; Yike Guo (BIBM, 2019)

Integrated Multi-omics Analysis Using Variational Autoencoders: Application to Pan-cancer Classification. - Xiaoyu Zhang 008; Jingqing Zhang; Kai Sun 005; Xian Yang 001; Chengliang Dai; Yike Guo (BIBM, 2019)

Outage Prediction and Diagnosis for Cloud Service Systems. - Yujun Chen; Xian Yang 001; Qingwei Lin; Hongyu Zhang 002; Feng Gao 022; Zhangwei Xu; Yingnong Dang; Dongmei Zhang 001; Hang Dong 004; Yong Xu 010; Hao Li; Yu Kang 006 (WWW, 2019)

Identifying linked incidents in large-scale online service systems. - Yujun Chen; Xian Yang 001; Hang Dong 004; Xiaoting He 003; Hongyu Zhang 002; Qingwei Lin; Junjie Chen 003; Pu Zhao 004; Yu Kang 006; Feng Gao 022; Zhangwei Xu; Dongmei Zhang 001 (ESEC/SIGSOFT FSE, 2020)

A Bayesian Updating Scheme for Pandemics: Estimating the Infection Dynamics of COVID-19. - Shuo Wang 011; Xian Yang 001; Ling Li 010; Philip Nadler; Rossella Arcucci; Yuan Huang 009; Zhongzhao Teng; Yike Guo (IEEE Comput. Intell. Mag., 2020)

An Epidemiological Modelling Approach for Covid19 via Data Assimilation. - Philip Nadler; Shuo Wang 011; Rossella Arcucci; Xian Yang 001; Yike Guo (CoRR, 2020)

Label-dependent and event-guided interpretable disease risk prediction using EHRs. - Shuai Niu; Yunya Song; Qing Yin; Yike Guo; Xian Yang 001 (BIBM, 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 001; Julia Ive; Vibhor Gupta; Yike Guo (EMNLP (1), 2021)

Label Dependent Attention Model for Disease Risk Prediction Using Multimodal Electronic Health Records. - Shuai Niu; Qing Yin; Yunya Song; Yike Guo; Xian Yang 001 (ICDM, 2021)

Effective low capacity status prediction for cloud systems. - Hang Dong 004; Si Qin; Yong Xu 010; Bo Qiao 001; Shandan Zhou; Xian Yang 001; Chuan Luo 002; Pu Zhao 004; Qingwei Lin; Hongyu Zhang 002; Abulikemu Abuduweili; Sanjay Ramanujan; et al. (ESEC/SIGSOFT FSE, 2021)

Improving Deep Embedded Clustering via Learning Cluster-level Representations. - Qing Yin; Zhihua Wang 008; Yunya Song; Richard Yida Xu; Shuai Niu; Liang Bai; Yike Guo; Xian Yang 001 (COLING, 2022)

Bayesian data assimilation for estimating instantaneous reproduction numbers during epidemics: Applications to COVID-19. - Xian Yang 001; Shuo Wang 011; Yuting Xing; Ling Li 010; Richard Yi Da Xu; Karl J. Friston; Yike Guo (PLoS Comput. Biol., 2022)

RTANet: Recommendation Target-Aware Network Embedding. - Qimeng Cao; Qing Yin; Yunya Song; Zhihua Wang 008; Yujun Chen; Richard Yi Da Xu; Xian Yang 001 (ICWSM, 2023)

A new contrastive learning framework for reducing the effect of hard negatives. - Wentao Cui; Liang Bai; Xian Yang 001; Jiye Liang (Knowl. Based Syst., 2023)

High-order graph attention network. - Liancheng He; Liang Bai; Xian Yang 001; Hangyuan Du; Jiye Liang (Inf. Sci., 2023)

Exploring the role of edge distribution in graph convolutional networks. - Liancheng He; Liang Bai; Xian Yang 001; Zhuomin Liang; Jiye Liang (Neural Networks, 2023)

EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis. - Ruijie Yang; Yan Zhu; Peiyao Fu; Yizhe Zhang 001; Zhihua Wang 008; Quanlin Li; Pinghong Zhou; Xian Yang 001; Shuo Wang 011 (MICCAI (10), 2024)

Multimodal Clinical Reasoning through Knowledge-augmented Rationale Generation. - Shuai Niu; Jing Ma 004; Liang Bai; Zhihua Wang 008; Yida Xu; Yunya Song; Xian Yang 001 (CoRR, 2024)

Enhancing healthcare decision support through explainable AI models for risk prediction. - Shuai Niu; Qing Yin; Jing Ma 004; Yunya Song; Yida Xu; Liang Bai; Wei Pan 004; Xian Yang 001 (Decis. Support Syst., 2024)

An Accuracy-Aware Energy-Efficient Multipath Routing Algorithm for WSNs. - Feng Dan; Yajie Ma; Wenqi Yin; Xian Yang 001; Fengxing Zhou; Shaowu Lu; Bowen Ning (Sensors, 2024)

EHR-KnowGen: Knowledge-enhanced multimodal learning for disease diagnosis generation. - Shuai Niu; Jing Ma 004; Liang Bai; Zhihua Wang 008; Li Guo 002; Xian Yang 001 (Inf. Fusion, 2024)

A Data Dissemination Algorithm Based on Maximization of Causal Path Entropy in Vehicular Ad Hoc Networks. - Dan Gu; Yajie Ma; Feng Dan; Xian Yang 001; Fengxing Zhou; Baokang Yan; Shaowu Lu; Bowen Ning (IEEE Internet Things J., 2024)

Enhancing Drug Recommendations Via Heterogeneous Graph Representation Learning in EHR Networks. - Haijun Zhang; Xian Yang 001; Liang Bai; Jiye Liang (IEEE Trans. Knowl. Data Eng., 2024)

A deep clustering-based state-space model for improved disease risk prediction in personalized healthcare. - Shuai Niu; Jing Ma 004; Qing Yin; Liang Bai; Chen Li; Xian Yang 001 (Ann. Oper. Res., 2024)

ProMedTS: A Self-Supervised, Prompt-Guided Multimodal Approach for Integrating Medical Text and Time Series. - Shuai Niu; Jing Ma 004; Hongzhan Lin 001; Liang Bai; Zhihua Wang 008; Wei Bi; Richard Yi Da Xu; Guo Li 002; Xian Yang 001 (ACL (Findings), 2025)

Knowledge-Augmented Multimodal Clinical Rationale Generation for Disease Diagnosis with Small Language Models. - Shuai Niu; Jing Ma 004; Hongzhan Lin 001; Liang Bai; Zhihua Wang 008; Richard Yi Da Xu; Yunya Song; Xian Yang 001 (ACL (1), 2025)

Supporting Data from: Physically Constrained Mass Spectrometry Data Binning on Multi-Platform Untargeted Metabolomics Data Reveals Generic Biomarkers for Hepatocellular Carcinoma. - Hiu-Lok Ngan; Jialing Zhang; Kin Leung Kwan; Jacinth Wing-Sum Cheu; Li Zhong; Yike Guo; Xian Yang 001; Carmen Chak Lui Wong; Hong Yan; Zongwei Cai (Zenodo, 2025)

Graph Contrastive Learning for Fusion of Graph Structure and Attribute Information. - Zhuomin Liang; Liang Bai; Xian Yang 001; Jiye Liang (IEEE Trans. Multim., 2025)

Contrastive Learning With Enhancing Detailed Information for Pre-Training Vision Transformer. - Zhuomin Liang; Liang Bai; Jinyu Fan; Xian Yang 001; Jiye Liang (IEEE Trans. Circuits Syst. Video Technol., 2025)

Improving Image Contrastive Clustering Through Self-Learning Pairwise Constraints. - Yecheng Guo; Liang Bai; Xian Yang 001; Jiye Liang (IEEE Trans. Neural Networks Learn. Syst., 2025)

Unlocking Multimodal Integration in EHRs: A Prompt Learning Framework for Language and Time Series Fusion. - Shuai Niu; Jing Ma 004; Hongzhan Lin 001; Liang Bai; Zhihua Wang 008; Wei Bi; Yida Xu; Guo Li 002; Xian Yang 001 (CoRR, 2025)

C-LoRA: Continual Low-Rank Adaptation for Pre-trained Models. - Xin Zhang; Liang Bai; Xian Yang 001; Jiye Liang (CoRR, 2025)

Robust Polyp Detection and Diagnosis through Compositional Prompt-Guided Diffusion Models. - Jia Yu; Yan Zhu; Peiyao Fu; Tianyi Chen; Junbo Huang; Quanlin Li; Pinghong Zhou; Zhihua Wang 008; Fei Wu 001; Shuo Wang 011; Xian Yang 001 (CoRR, 2025)

Modelling Patient Longitudinal Data for Clinical Decision Support: A Case Study on Emerging AI Healthcare Technologies. - Shuai Niu; Jing Ma 004; Qing Yin; Zhihua Wang 008; Liang Bai; Xian Yang 001 (Inf. Syst. Frontiers, 2025)

A decision support system in precision medicine: contrastive multimodal learning for patient stratification. - Qing Yin; Linda Zhong; Yunya Song; Liang Bai; Zhihua Wang 008; Chen Li; Yida Xu; Xian Yang 001 (Ann. Oper. Res., 2025)

Endo-CLIP: Progressive Self-Supervised Pre-training on Raw Colonoscopy Records. - Yili He; Yan Zhu; Peiyao Fu; Ruijie Yang; Tianyi Chen; Zhihua Wang 008; Quanlin Li; Pinghong Zhou; Xian Yang 001; Shuo Wang 011 (CoRR, 2025)

EndoFinder: Online Lesion Retrieval for Explainable Colorectal Polyp Diagnosis Leveraging Latent Scene Representations. - Ruijie Yang; Yan Zhu; Peiyao Fu; Yizhe Zhang 001; Zhihua Wang 008; Quanlin Li; Pinghong Zhou; Xian Yang 001; Shuo Wang 011 (CoRR, 2025)

Multi-Channel Disentangled Graph Neural Networks With Different Types of Self-Constraints. - Zhuomin Liang; Liang Bai; Xian Yang 001; Jiye Liang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)