An Evidential Aggregation Method of Intuitionistic Fuzzy Sets Based on Belief Entropy. - Zeyi Liu 001; Fuyuan Xiao 001 (IEEE Access, 2019)

An Intuitionistic Evidential Method for Weight Determination in FMEA Based on Belief Entropy. - Zeyi Liu 001; Fuyuan Xiao 001 (Entropy, 2019)

An interval-valued exceedance method in MCDM with uncertain satisfactions. - Zeyi Liu 001; Fuyuan Xiao 001 (Int. J. Intell. Syst., 2019)

An intuitionistic linguistic MCDM model based on probabilistic exceedance method and evidence theory. - Zeyi Liu 001; Fuyuan Xiao 001 (Appl. Intell., 2020)

Network-based evidential three-way theoretic model for large-scale group decision analysis. - Zeyi Liu 001; Xiao He 001; Yong Deng 001 (Inf. Sci., 2021)

A dynamic group MCDM model with intuitionistic fuzzy set: Perspective of alternative queuing method. - Ran Tao; Zeyi Liu 001; Rui Cai; Kang Hao Cheong (Inf. Sci., 2021)

Safety Assessment of Dynamic Systems: An Evidential Group Interaction-Based Fusion Design. - Zeyi Liu 001; Yong Deng 001; Yi Zhang 089; Zhongjun Ding; Xiao He 001 (IEEE Trans. Instrum. Meas., 2021)

A Generalized Golden Rule Representative Value for Multiple-Criteria Decision Analysis. - Zeyi Liu 001; Fuyuan Xiao 001; Chin-Teng Lin; Byeong Ho Kang 001; Zehong Cao (IEEE Trans. Syst. Man Cybern. Syst., 2021)

CADM: Confusion Model-Based Detection Method for Real-Drift in Chunk Data Stream. - Songqiao Hu; Zeyi Liu 001; Xiao He 001 (S-CUBE, 2022)

Measure-Based Group Decision-Making With Principle-Guided Social Interaction Influence for Incomplete Information: A Game Theoretic Perspective. - Zeyi Liu 001; Yong Deng 001; Ronald R. Yager (IEEE Trans. Fuzzy Syst., 2022)

Real-time Safety Assessment of Dynamic Systems in Non-stationary Environments: A Review of Methods and Techniques. - Zeyi Liu 001; Songqiao Hu; Xiao He 001 (SAFEPROCESS, 2023)

An Evidential Real-Time Multi-Mode Fault Diagnosis Approach Based on Broad Learning System. - Chen Li; Zeyi Liu 001; Limin Wang 003; Minyue Li; Xiao He 001 (CoRR, 2023)

Ivrr-PPG: An Illumination Variation Robust Remote-PPG Algorithm for Monitoring Heart Rate of Drivers. - Ming Xu; Guang Zeng; Yongjun Song; Yue Cao; Zeyi Liu 001; Xiao He 001 (IEEE Trans. Instrum. Meas., 2023)

Fault Diagnosis of Rotating Machinery With Limited Expert Interaction: A Multicriteria Active Learning Approach Based on Broad Learning System. - Zeyi Liu 001; Jingfei Zhang; Xiao He 001; Qinghua Zhang; Guoxi Sun; Donghua Zhou (IEEE Trans. Control. Syst. Technol., 2023)

Real-Time Safety Assessment for Dynamic Systems With Limited Memory and Annotations. - Zeyi Liu 001; Xiao He 001 (IEEE Trans. Intell. Transp. Syst., 2023)

An Online Active Broad Learning Approach for Real-Time Safety Assessment of Dynamic Systems in Nonstationary Environments. - Zeyi Liu 001; Yi Zhang 089; Zhongjun Ding; Xiao He 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Multi-mode fault diagnosis datasets of gearbox under variable working conditions. - Shijin Chen; Zeyi Liu 001; Xiao He 001; Dongliang Zou; Donghua Zhou (CoRR, 2024)

Imbalanced Real-Time Fault Diagnosis Based on Minority-Prioritized Online Semi-Supervised Random Vector Functional Link Network. - Pengyu Han; Shijin Chen; Zeyi Liu 001; Xiao He 001 (IEEE Trans. Instrum. Meas., 2024)

A Robust Evidential Multisource Data Fusion Approach Based on Cooperative Game Theory and Its Application in EEG. - Zeyi Liu 001; Fuyuan Xiao 001; Chin-Teng Lin; Zehong Cao (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Dynamic Submodular-Based Learning Strategy in Imbalanced Drifting Streams for Real-Time Safety Assessment in Nonstationary Environments. - Zeyi Liu 001; Xiao He 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Evidential Ensemble Preference-Guided Learning Approach for Real-Time Multimode Fault Diagnosis. - Zeyi Liu 001; Chen Li 057; Xiao He 001 (IEEE Trans. Ind. Informatics, 2024)

Dynamic Model Interpretation-Guided Online Active Learning Scheme for Real-Time Safety Assessment. - Xiao He 001; Zeyi Liu 001 (IEEE Trans. Cybern., 2024)

A Real-Time Adaptive Fault Diagnosis Scheme for Dynamic Systems With Performance Degradation. - Xiao He 001; Chen Li 057; Zeyi Liu 001 (IEEE Trans. Reliab., 2024)

Game-Theoretic Expert Importance Evaluation Model Guided by Cooperation Effects for Social Network Group Decision Making. - Zeyi Liu 001; Tao Wen 003; Yong Deng 001; Hamido Fujita (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

A Discrimination-Guided Active Learning Method Based on Marginal Representations for Industrial Compound Fault Diagnosis. - Zeyi Liu 001; Jingfei Zhang; Xiao He 001 (IEEE Trans Autom. Sci. Eng., 2024)

Online Dynamic Hybrid Broad Learning System for Real-Time Safety Assessment of Dynamic Systems. - Zeyi Liu 001; Xiao He 001 (IEEE Trans. Knowl. Data Eng., 2024)

A dynamic anchor-based online semi-supervised learning approach for fault diagnosis under variable operating conditions. - Wei Li; Zeyi Liu 001; Pengyu Han; Xiao He 001; Limin Wang 003; Tao Zhang (Neurocomputing, 2025)

Multi-Condition Fault Diagnosis of Dynamic Systems: A Survey, Insights, and Prospects. - Pengyu Han; Zeyi Liu 001; Xiao He 001; Steven X. Ding; Donghua Zhou (IEEE Trans Autom. Sci. Eng., 2025)

Contrastive Preference-Guided Active Learning Approach Based on Ranking Correlation for Real-Time Safety Assessment. - Zeyi Liu 001; Xiao He 001 (IEEE Trans Autom. Sci. Eng., 2025)

Performance-bounded Online Ensemble Learning Method Based on Multi-armed bandits and Its Applications in Real-time Safety Assessment. - Songqiao Hu; Zeyi Liu 001; Xiao He 001 (CoRR, 2025)

CADM+: Confusion-Based Learning Framework With Drift Detection and Adaptation for Real-Time Safety Assessment. - Songqiao Hu; Zeyi Liu 001; Minyue Li; Xiao He 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

A Hierarchical Cross-Modal Spatial Fusion Network for Multimodal Emotion Recognition. - Ming Xu; Tuo Shi; Hao Zhang; Zeyi Liu 001; Xiao He 001 (IEEE Trans. Artif. Intell., 2025)

Rethinking the Role of Operating Conditions for Learning-based Multi-condition Fault Diagnosis. - Pengyu Han; Zeyi Liu 001; Shijin Chen; Dongliang Zou; Xiao He 001 (CoRR, 2025)

Awesome-OL: An Extensible Toolkit for Online Learning. - Zeyi Liu 001; Songqiao Hu; Pengyu Han; Jiaming Liu; Xiao He 001 (CoRR, 2025)