A new initialization method for categorical data clustering. - Fuyuan Cao; Jiye Liang; Liang Bai 001 (Expert Syst. Appl., 2009)

A Framework for Clustering Categorical Time-Evolving Data. - Fuyuan Cao; Jiye Liang; Liang Bai 001; Xingwang Zhao; Chuangyin Dang (IEEE Trans. Fuzzy Syst., 2010)

An initialization method to simultaneously find initial cluster centers and the number of clusters for clustering categorical data. - Liang Bai 001; Jiye Liang; Chuangyin Dang (Knowl. Based Syst., 2011)

A novel attribute weighting algorithm for clustering high-dimensional categorical data. - Liang Bai 001; Jiye Liang; Chuangyin Dang; Fuyuan Cao (Pattern Recognit., 2011)

A cluster centers initialization method for clustering categorical data. - Liang Bai 001; Jiye Liang; Chuangyin Dang; Fuyuan Cao (Expert Syst. Appl., 2012)

A dissimilarity measure for the k-Modes clustering algorithm. - Fuyuan Cao; Jiye Liang; Deyu Li 001; Liang Bai 001; Chuangyin Dang (Knowl. Based Syst., 2012)

The K -Means-Type Algorithms Versus Imbalanced Data Distributions. - Jiye Liang; Liang Bai 001; Chuangyin Dang; Fuyuan Cao (IEEE Trans. Fuzzy Syst., 2012)

A novel fuzzy clustering algorithm with between-cluster information for categorical data. - Liang Bai 001; Jiye Liang; Chuangyin Dang; Fuyuan Cao (Fuzzy Sets Syst., 2013)

Fast global k-means clustering based on local geometrical information. - Liang Bai 001; Jiye Liang; Chao Sui; Chuangyin Dang (Inf. Sci., 2013)

The Impact of Cluster Representatives on the Convergence of the (K)-Modes Type Clustering. - Liang Bai 001; Jiye Liang; Chuangyin Dang; Fuyuan Cao (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

The k-modes type clustering plus between-cluster information for categorical data. - Liang Bai 001; Jiye Liang (Neurocomputing, 2014)

Cluster validity functions for categorical data: a solution-space perspective. - Liang Bai 001; Jiye Liang (Data Min. Knowl. Discov., 2015)

Observation noise modeling based particle filter: An efficient algorithm for target tracking in glint noise environment. - Hangyuan Du; Wenjian Wang; Liang Bai 001 (Neurocomputing, 2015)

一种改进的粒子滤波算法及其在GPS/DR组合定位中的应用 (Improved Particle Filter and its Application in GPS/DR Integrated Positioning System). - Hangyuan Du; Wenjian Wang; Liang Bai 001 (计算机科学, 2016)

An Optimization Model for Clustering Categorical Data Streams with Drifting Concepts. - Liang Bai 001; Xueqi Cheng; Jiye Liang; Huawei Shen (IEEE Trans. Knowl. Data Eng., 2016)

Fast graph clustering with a new description model for community detection. - Liang Bai 001; Xueqi Cheng; Jiye Liang; Yike Guo (Inf. Sci., 2017)

Fast density clustering strategies based on the k-means algorithm. - Liang Bai 001; Xueqi Cheng; Jiye Liang; Huawei Shen; Yike Guo (Pattern Recognit., 2017)

A novel community detection algorithm based on simplification of complex networks. - Liang Bai 001; Jiye Liang; Hangyuan Du; Yike Guo (Knowl. Based Syst., 2018)

An Ensemble Clusterer of Multiple Fuzzy k-Means Clusterings to Recognize Arbitrarily Shaped Clusters. - Liang Bai 001; Jiye Liang; Yike Guo (IEEE Trans. Fuzzy Syst., 2018)

An Information-Theoretical Framework for Cluster Ensemble. - Liang Bai 001; Jiye Liang; Hangyuan Du; Yike Guo (IEEE Trans. Knowl. Data Eng., 2019)

A Three-Level Optimization Model for Nonlinearly Separable Clustering. - Liang Bai 001; Jiye Liang (AAAI, 2020)

Sparse Subspace Clustering with Entropy-Norm. - Liang Bai 001; Jiye Liang (ICML, 2020)

A multiple k-means clustering ensemble algorithm to find nonlinearly separable clusters. - Liang Bai 001; Jiye Liang; Fuyuan Cao (Inf. Fusion, 2020)

New label propagation algorithm with pairwise constraints. - Liang Bai 001; Junbin Wang; Jiye Liang; Hangyuan Du (Pattern Recognit., 2020)

Semi-Supervised Clustering With Constraints of Different Types From Multiple Information Sources. - Liang Bai 001; Jiye Liang; Fuyuan Cao (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

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

Dual Bidirectional Graph Convolutional Networks for Zero-shot Node Classification. - Qin Yue 002; Jiye Liang; Junbiao Cui; Liang Bai 001 (KDD, 2022)

Incomplete multi-view clustering via local and global co-regularization. - Jiye Liang; Xiaolin Liu; Liang Bai 001; Fuyuan Cao; Dianhui Wang 001 (Sci. China Inf. Sci., 2022)

A categorical data clustering framework on graph representation. - Liang Bai 001; Jiye Liang (Pattern Recognit., 2022)

Self-supervised spectral clustering with exemplar constraints. - Liang Bai 001; Yunxiao Zhao; Jiye Liang (Pattern Recognit., 2022)

Motif-SocialRec: A Multi-channel Interactive Semantic Extraction Model for Social Recommendation. - Hangyuan Du; Yuan Liu; Wenjian Wang; Liang Bai 001 (ICONIP (2), 2023)

Incremental label propagation for data sets with imbalanced labels. - Yaoxing Li; Liang Bai 001; Zhuomin Liang; Hangyuan Du (Neurocomputing, 2023)

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

Self-Constrained Spectral Clustering. - Liang Bai 001; Jiye Liang; Yunxiao Zhao (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

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

Spectral clustering with robust self-learning constraints. - Liang Bai 001; Minxue Qi; Jiye Liang (Artif. Intell., 2023)

Dual-channel embedding learning model for partially labeled attributed networks. - Hangyuan Du; Wenjian Wang; Liang Bai 001 (Pattern Recognit., 2023)

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

Multimodal Clinical Reasoning through Knowledge-augmented Rationale Generation. - Shuai Niu; Jing Ma 004; Liang Bai 001; 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 001; Wei Pan 004; Xian Yang 001 (Decis. Support Syst., 2024)

A zero-shot learning boosting framework via concept-constrained clustering. - Qin Yue 002; Junbiao Cui; Liang Bai 001; Jianqing Liang; Jiye Liang (Pattern Recognit., 2024)

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

Enhancing Drug Recommendations Via Heterogeneous Graph Representation Learning in EHR Networks. - Haijun Zhang; Xian Yang 001; Liang Bai 001; 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 001; Chen Li; Xian Yang 001 (Ann. Oper. Res., 2024)

Learning structure perception MLPs on graphs: a layer-wise graph knowledge distillation framework. - Hangyuan Du; Rong Yu; Liang Bai 001; Lu Bai 001; Wenjian Wang (Int. J. Mach. Learn. Cybern., 2024)

K-Relations-Based Consensus Clustering With Entropy-Norm Regularizers. - Liang Bai 001; Jiye Liang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Class Semantic Attribute Perception Guided Zero-Shot Learning. - Qin Yue 002; Junbiao Cui; Jianqing Liang; Liang Bai 001 (AAAI, 2025)

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 001; 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 001; Zhihua Wang 008; Richard Yi Da Xu; Yunya Song; Xian Yang 001 (ACL (1), 2025)

Learning robust MLPs on graphs via cross-layer distillation from a causal perspective. - Hangyuan Du; Wenjian Wang; Weihong Zhang; Dengke Su; Liang Bai 001; Lu Bai 001; Jiye Liang (Pattern Recognit., 2025)

A motif based hypergraph multi-level semantic encoding framework for social recommender systems. - Hangyuan Du; Wenjian Wang; Liang Bai 001; Lu Bai 001; Jiye Liang (Signal Process., 2025)

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

Multi-Grained Vision-and-Language Model for Medical Image and Text Alignment. - Huimin Yan; Xian Yang 001; Liang Bai 001; Jiamin Li; Jiye Liang (IEEE Trans. Multim., 2025)

Contrastive Learning With Enhancing Detailed Information for Pre-Training Vision Transformer. - Zhuomin Liang; Liang Bai 001; 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 001; 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 001; 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 001; Xian Yang 001; Jiye Liang (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 001; 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 001; Zhihua Wang 008; Chen Li; Yida Xu; Xian Yang 001 (Ann. Oper. Res., 2025)

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

Generalization Error Bounds for Graph Neural Networks in Unseen Domains. - Peiyao Wang; Liang Bai 001; Xian Yang 001; Xi Wang; Jiye Liang (IEEE Trans. Artif. Intell., 2025)