Liang Bai

76 papers A* 9B 5Journal 59Unranked 3
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 A* conf
GCIB: Causal Intervention Guided Graph Information Bottleneck Framework.
AAAI
Hangyuan Du, Rong Wang, Lixin Cui, Gaoxia Jiang, Liang Bai, Wenjian 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
Multi-Prototypes representation learning for contrastive clustering.
Pattern Recognit. Lett.
Yunxiao Zhao, Yecheng Guo, Qin Yue, Liang Bai
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 B conf
A Graph Contrastive Recommendation Model Based on Dual-channel Data Augmentation.
IJCNN
Hangyuan Du, Liting Ma, Liang Bai, Lu Bai, Wenjian Wang
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
A motif based hypergraph multi-level semantic encoding framework for social recommender systems.
Signal Process.
Hangyuan Du, Wenjian Wang, Liang Bai, Lu Bai, Jiye Liang
2025 J jnl
C-LoRA: Continual Low-Rank Adaptation for Pre-trained Models.
CoRR
Xin Zhang, Liang Bai, Xian Yang, Jiye Liang
2025 B conf
CGFNet: Frequency-Domain Causal Discovery and Dual-Path Spectral Filtering for Wildfire Prediction.
IEEE Big Data
Hangyuan Du, Dengke Su, Liang Bai, Gaoxia Jiang, Lu Bai, Wenjian Wang
2025 A* conf
Class Semantic Attribute Perception Guided Zero-Shot Learning.
AAAI
Qin Yue, Junbiao Cui, Jianqing Liang, Liang Bai
2025 B conf
Contrastive Anomalous User Detection in Recommender Systems via Multi-Semantic Paths.
IEEE Big Data
Hangyuan Du, Liu Yang, Liang Bai, Gaoxia Jiang, Lu Bai, Wenjian Wang
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 B conf
Enhancing Out-of-distribution Generalization for Graph Learning with Causal Information Bottleneck.
IJCNN
Hangyuan Du, Shuaijun Li, Liang Bai, Lu Bai, Wenjian 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
Learning robust MLPs on graphs via cross-layer distillation from a causal perspective.
Pattern Recognit.
Hangyuan Du, Wenjian Wang, Weihong Zhang, Dengke Su, Liang Bai, Lu Bai, 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 — 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
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 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
A zero-shot learning boosting framework via concept-constrained clustering.
Pattern Recognit.
Qin Yue, Junbiao Cui, Liang Bai, Jianqing Liang, Jiye Liang
2024 J jnl
Contrastive clustering with a graph consistency constraint.
Pattern Recognit.
Yunxiao Zhao, Liang Bai
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 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
K-Relations-Based Consensus Clustering With Entropy-Norm Regularizers.
IEEE Trans. Neural Networks Learn. Syst.
Liang Bai, Jiye Liang
2024 J jnl
Learning structure perception MLPs on graphs: a layer-wise graph knowledge distillation framework.
Int. J. Mach. Learn. Cybern.
Hangyuan Du, Rong Yu, Liang Bai, Lu Bai, Wenjian Wang
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
Dual-channel embedding learning model for partially labeled attributed networks.
Pattern Recognit.
Hangyuan Du, Wenjian Wang, Liang Bai
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 J jnl
Incremental label propagation for data sets with imbalanced labels.
Neurocomputing
Yaoxing Li, Liang Bai, Zhuomin Liang, Hangyuan Du
2023 — conf
Motif-SocialRec: A Multi-channel Interactive Semantic Extraction Model for Social Recommendation.
ICONIP (2)
Hangyuan Du, Yuan Liu, Wenjian Wang, Liang Bai
2023 J jnl
Self-Constrained Spectral Clustering.
IEEE Trans. Pattern Anal. Mach. Intell.
Liang Bai, Jiye Liang, Yunxiao Zhao
2023 J jnl
Spectral clustering with robust self-learning constraints.
Artif. Intell.
Liang Bai, Minxue Qi, Jiye Liang
2022 J jnl
A categorical data clustering framework on graph representation.
Pattern Recognit.
Liang Bai, Jiye Liang
2022 A* conf
Dual Bidirectional Graph Convolutional Networks for Zero-shot Node Classification.
KDD
Qin Yue, Jiye Liang, Junbiao Cui, Liang Bai
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
Incomplete multi-view clustering via local and global co-regularization.
Sci. China Inf. Sci.
Jiye Liang, Xiaolin Liu, Liang Bai, Fuyuan Cao, Dianhui Wang
2022 J jnl
Self-supervised spectral clustering with exemplar constraints.
Pattern Recognit.
Liang Bai, Yunxiao Zhao, Jiye Liang
2021 J jnl
Semi-Supervised Clustering With Constraints of Different Types From Multiple Information Sources.
IEEE Trans. Pattern Anal. Mach. Intell.
Liang Bai, Jiye Liang, Fuyuan Cao
2020 A* conf
A Three-Level Optimization Model for Nonlinearly Separable Clustering.
AAAI
Liang Bai, Jiye Liang
2020 J jnl
A multiple
Inf. Fusion
Liang Bai, Jiye Liang, Fuyuan Cao
2020 J jnl
New label propagation algorithm with pairwise constraints.
Pattern Recognit.
Liang Bai, Junbin Wang, Jiye Liang, Hangyuan Du
2020 A* conf
Sparse Subspace Clustering with Entropy-Norm.
ICML
Liang Bai, Jiye Liang
2019 J jnl
An Information-Theoretical Framework for Cluster Ensemble.
IEEE Trans. Knowl. Data Eng.
Liang Bai, Jiye Liang, Hangyuan Du, Yike Guo
2018 J jnl
A novel community detection algorithm based on simplification of complex networks.
Knowl. Based Syst.
Liang Bai, Jiye Liang, Hangyuan Du, Yike Guo
2018 J jnl
An Ensemble Clusterer of Multiple Fuzzy k-Means Clusterings to Recognize Arbitrarily Shaped Clusters.
IEEE Trans. Fuzzy Syst.
Liang Bai, Jiye Liang, Yike Guo
2017 J jnl
Fast density clustering strategies based on the k-means algorithm.
Pattern Recognit.
Liang Bai, Xueqi Cheng, Jiye Liang, Huawei Shen, Yike Guo
2017 J jnl
Fast graph clustering with a new description model for community detection.
Inf. Sci.
Liang Bai, Xueqi Cheng, Jiye Liang, Yike Guo
2016 J jnl
An Optimization Model for Clustering Categorical Data Streams with Drifting Concepts.
IEEE Trans. Knowl. Data Eng.
Liang Bai, Xueqi Cheng, Jiye Liang, Huawei Shen
2016 J jnl
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).
计算机科学
Hangyuan Du, Wenjian Wang, Liang Bai
2015 J jnl
Cluster validity functions for categorical data: a solution-space perspective.
Data Min. Knowl. Discov.
Liang Bai, Jiye Liang
2015 J jnl
Observation noise modeling based particle filter: An efficient algorithm for target tracking in glint noise environment.
Neurocomputing
Hangyuan Du, Wenjian Wang, Liang Bai
2014 J jnl
The k-modes type clustering plus between-cluster information for categorical data.
Neurocomputing
Liang Bai, Jiye Liang
2013 J jnl
A novel fuzzy clustering algorithm with between-cluster information for categorical data.
Fuzzy Sets Syst.
Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao
2013 J jnl
Fast global k-means clustering based on local geometrical information.
Inf. Sci.
Liang Bai, Jiye Liang, Chao Sui, Chuangyin Dang
2013 J jnl
The Impact of Cluster Representatives on the Convergence of the (K)-Modes Type Clustering.
IEEE Trans. Pattern Anal. Mach. Intell.
Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao
2012 J jnl
A cluster centers initialization method for clustering categorical data.
Expert Syst. Appl.
Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao
2012 J jnl
A dissimilarity measure for the k-Modes clustering algorithm.
Knowl. Based Syst.
Fuyuan Cao, Jiye Liang, Deyu Li, Liang Bai, Chuangyin Dang
2012 J jnl
The K -Means-Type Algorithms Versus Imbalanced Data Distributions.
IEEE Trans. Fuzzy Syst.
Jiye Liang, Liang Bai, Chuangyin Dang, Fuyuan Cao
2011 J jnl
A novel attribute weighting algorithm for clustering high-dimensional categorical data.
Pattern Recognit.
Liang Bai, Jiye Liang, Chuangyin Dang, Fuyuan Cao
2011 J jnl
An initialization method to simultaneously find initial cluster centers and the number of clusters for clustering categorical data.
Knowl. Based Syst.
Liang Bai, Jiye Liang, Chuangyin Dang
2010 J jnl
A Framework for Clustering Categorical Time-Evolving Data.
IEEE Trans. Fuzzy Syst.
Fuyuan Cao, Jiye Liang, Liang Bai, Xingwang Zhao, Chuangyin Dang
2009 J jnl
A new initialization method for categorical data clustering.
Expert Syst. Appl.
Fuyuan Cao, Jiye Liang, Liang Bai