Liang Bai

According to our database, Liang Bai authored at least 61 papers between 2009 and 2025.

Collaborative distances:

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

2025

Generalization Error Bounds for Graph Neural Networks in Unseen Domains.

Peiyao Wang, Liang Bai, Xian Yang, Xi Wang, Jiye Liang

IEEE Trans. Artif. Intell., October, 2025

Multi-Channel Disentangled Graph Neural Networks With Different Types of Self-Constraints.

Zhuomin Liang, Liang Bai, Xian Yang, Jiye Liang

IEEE Trans. Pattern Anal. Mach. Intell., September, 2025

A decision support system in precision medicine: contrastive multimodal learning for patient stratification.

Qing Yin, Linda Zhong, Yunya Song, Liang Bai, Zhihua Wang, Chen Li, Yida Xu, Xian Yang

Ann. Oper. Res., May, 2025

Modelling Patient Longitudinal Data for Clinical Decision Support: A Case Study on Emerging AI Healthcare Technologies.

Shuai Niu, Jing Ma, Qing Yin, Zhihua Wang, Liang Bai, Xian Yang

Inf. Syst. Frontiers, April, 2025

C-LoRA: Continual Low-Rank Adaptation for Pre-trained Models.

Xin Zhang, Liang Bai, Xian Yang, Jiye Liang

CoRR, February, 2025

Unlocking Multimodal Integration in EHRs: A Prompt Learning Framework for Language and Time Series Fusion.

Shuai Niu, Jing Ma, Hongzhan Lin, Liang Bai, Zhihua Wang, Wei Bi, Yida Xu, Guo Li, Xian Yang

CoRR, February, 2025

Improving Image Contrastive Clustering Through Self-Learning Pairwise Constraints.

Yecheng Guo, Liang Bai, Xian Yang, Jiye Liang

IEEE Trans. Neural Networks Learn. Syst., January, 2025

Contrastive Learning With Enhancing Detailed Information for Pre-Training Vision Transformer.

Zhuomin Liang, Liang Bai, Jinyu Fan, Xian Yang, Jiye Liang

IEEE Trans. Circuits Syst. Video Technol., January, 2025

Multi-Grained Vision-and-Language Model for Medical Image and Text Alignment.

Huimin Yan, Xian Yang, Liang Bai, Jiamin Li, Jiye Liang

IEEE Trans. Multim., 2025

Graph Contrastive Learning for Fusion of Graph Structure and Attribute Information.

Zhuomin Liang, Liang Bai, Xian Yang, Jiye Liang

IEEE Trans. Multim., 2025

A motif based hypergraph multi-level semantic encoding framework for social recommender systems.

Hangyuan Du, Wenjian Wang, Liang Bai, Lu Bai, Jiye Liang

Signal Process., 2025

Learning robust MLPs on graphs via cross-layer distillation from a causal perspective.

Hangyuan Du, Wenjian Wang, Weihong Zhang, Dengke Su, Liang Bai, Lu Bai, Jiye Liang

Pattern Recognit., 2025

Knowledge-Augmented Multimodal Clinical Rationale Generation for Disease Diagnosis with Small Language Models.

Shuai Niu, Jing Ma, Hongzhan Lin, Liang Bai, Zhihua Wang, Richard Yi Da Xu, Yunya Song, Xian Yang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

ProMedTS: A Self-Supervised, Prompt-Guided Multimodal Approach for Integrating Medical Text and Time Series.

Shuai Niu, Jing Ma, Hongzhan Lin, Liang Bai, Zhihua Wang, Wei Bi, Richard Yi Da Xu, Guo Li, Xian Yang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Class Semantic Attribute Perception Guided Zero-Shot Learning.

Qin Yue, Junbiao Cui, Jianqing Liang, Liang Bai

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

K-Relations-Based Consensus Clustering With Entropy-Norm Regularizers.

Liang Bai, Jiye Liang

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Learning structure perception MLPs on graphs: a layer-wise graph knowledge distillation framework.

Hangyuan Du, Rong Yu, Liang Bai, Lu Bai, Wenjian Wang

Int. J. Mach. Learn. Cybern., October, 2024

A deep clustering-based state-space model for improved disease risk prediction in personalized healthcare.

Shuai Niu, Jing Ma, Qing Yin, Liang Bai, Chen Li, Xian Yang

Ann. Oper. Res., October, 2024

Enhancing Drug Recommendations Via Heterogeneous Graph Representation Learning in EHR Networks.

Haijun Zhang, Xian Yang, Liang Bai, Jiye Liang

IEEE Trans. Knowl. Data Eng., July, 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

A zero-shot learning boosting framework via concept-constrained clustering.

Qin Yue, Junbiao Cui, Liang Bai, Jianqing Liang, Jiye Liang

Pattern Recognit., January, 2024

Enhancing healthcare decision support through explainable AI models for risk prediction.

Shuai Niu, Qing Yin, Jing Ma, Yunya Song, Yida Xu, Liang Bai, Wei Pan, Xian Yang

Decis. Support Syst., 2024

Multimodal Clinical Reasoning through Knowledge-augmented Rationale Generation.

Shuai Niu, Jing Ma, Liang Bai, Zhihua Wang, Yida Xu, Yunya Song, Xian Yang

CoRR, 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

Dual-channel embedding learning model for partially labeled attributed networks.

Hangyuan Du, Wenjian Wang, Liang Bai

Pattern Recognit., October, 2023

Spectral clustering with robust self-learning constraints.

Liang Bai, Minxue Qi, Jiye Liang

Artif. Intell., July, 2023

High-order graph attention network.

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

Inf. Sci., June, 2023

Self-Constrained Spectral Clustering.

Liang Bai, Jiye Liang, Yunxiao Zhao

IEEE Trans. Pattern Anal. Mach. Intell., April, 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

Incremental label propagation for data sets with imbalanced labels.

Yaoxing Li, Liang Bai, Zhuomin Liang, Hangyuan Du

Neurocomputing, 2023

Motif-SocialRec: A Multi-channel Interactive Semantic Extraction Model for Social Recommendation.

Hangyuan Du, Yuan Liu, Wenjian Wang, Liang Bai

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

Self-supervised spectral clustering with exemplar constraints.

Liang Bai, Yunxiao Zhao, Jiye Liang

Pattern Recognit., 2022

A categorical data clustering framework on graph representation.

Liang Bai, Jiye Liang

Pattern Recognit., 2022

Incomplete multi-view clustering via local and global co-regularization.

Jiye Liang, Xiaolin Liu, Liang Bai, Fuyuan Cao, Dianhui Wang

Sci. China Inf. Sci., 2022

Dual Bidirectional Graph Convolutional Networks for Zero-shot Node Classification.

Qin Yue, Jiye Liang, Junbiao Cui, Liang Bai

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 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

Semi-Supervised Clustering With Constraints of Different Types From Multiple Information Sources.

Liang Bai, Jiye Liang, Fuyuan Cao

IEEE Trans. Pattern Anal. Mach. Intell., 2021

2020

New label propagation algorithm with pairwise constraints.

Liang Bai, Junbin Wang, Jiye Liang, Hangyuan Du

Pattern Recognit., 2020

A multiple <i>k</i>-means clustering ensemble algorithm to find nonlinearly separable clusters.

Liang Bai, Jiye Liang, Fuyuan Cao

Inf. Fusion, 2020

Sparse Subspace Clustering with Entropy-Norm.

Liang Bai, Jiye Liang

Proceedings of the 37th International Conference on Machine Learning, 2020

A Three-Level Optimization Model for Nonlinearly Separable Clustering.

Liang Bai, Jiye Liang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

An Information-Theoretical Framework for Cluster Ensemble.

Liang Bai, Jiye Liang, Hangyuan Du, Yike Guo

IEEE Trans. Knowl. Data Eng., 2019

2018

An Ensemble Clusterer of Multiple Fuzzy k-Means Clusterings to Recognize Arbitrarily Shaped Clusters.

Liang Bai, Jiye Liang, Yike Guo

IEEE Trans. Fuzzy Syst., 2018

A novel community detection algorithm based on simplification of complex networks.

Liang Bai, Jiye Liang, Hangyuan Du, Yike Guo

Knowl. Based Syst., 2018

2017

Fast density clustering strategies based on the k-means algorithm.

Liang Bai, Xueqi Cheng, Jiye Liang, Huawei Shen, Yike Guo

Pattern Recognit., 2017

Fast graph clustering with a new description model for community detection.

Liang Bai, Xueqi Cheng, Jiye Liang, Yike Guo

Inf. Sci., 2017

2016

An Optimization Model for Clustering Categorical Data Streams with Drifting Concepts.

Liang Bai, Xueqi Cheng, Jiye Liang, Huawei Shen

IEEE Trans. Knowl. Data Eng., 2016

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

计算机科学, 2016

2015

Observation noise modeling based particle filter: An efficient algorithm for target tracking in glint noise environment.

Hangyuan Du, Wenjian Wang, Liang Bai

Neurocomputing, 2015

Cluster validity functions for categorical data: a solution-space perspective.

Liang Bai, Jiye Liang

Data Min. Knowl. Discov., 2015

2014

The k-modes type clustering plus between-cluster information for categorical data.

Liang Bai, Jiye Liang

Neurocomputing, 2014

2013

The Impact of Cluster Representatives on the Convergence of the (K)-Modes Type Clustering.

Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Fast global k-means clustering based on local geometrical information.

Liang Bai, Jiye Liang, Chao Sui, Chuangyin Dang

Inf. Sci., 2013

A novel fuzzy clustering algorithm with between-cluster information for categorical data.

Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao

Fuzzy Sets Syst., 2013

2012

The K -Means-Type Algorithms Versus Imbalanced Data Distributions.

Jiye Liang, Liang Bai, Chuangyin Dang, Fuyuan Cao

IEEE Trans. Fuzzy Syst., 2012

A dissimilarity measure for the k-Modes clustering algorithm.

Fuyuan Cao, Jiye Liang, Deyu Li, Liang Bai, Chuangyin Dang

Knowl. Based Syst., 2012

A cluster centers initialization method for clustering categorical data.

Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao

Expert Syst. Appl., 2012

2011

A novel attribute weighting algorithm for clustering high-dimensional categorical data.

Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao

Pattern Recognit., 2011

An initialization method to simultaneously find initial cluster centers and the number of clusters for clustering categorical data.

Liang Bai, Jiye Liang, Chuangyin Dang

Knowl. Based Syst., 2011

2010

A Framework for Clustering Categorical Time-Evolving Data.

Fuyuan Cao, Jiye Liang, Liang Bai, Xingwang Zhao, Chuangyin Dang

IEEE Trans. Fuzzy Syst., 2010

2009

A new initialization method for categorical data clustering.

Fuyuan Cao, Jiye Liang, Liang Bai

Expert Syst. Appl., 2009