Kaixiang Yang

According to our database, Kaixiang Yang authored at least 80 papers between 2020 and 2026.

Collaborative distances:

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

2026

MEDS-Net: Meta-Evidential Dual-Stream Network for Multimodal Few-Shot Driver Fatigue Detection.

Yuankang Fu, Xinrong Gong, Kaixiang Yang, Song Sun, Tong Zhang, C. L. Philip Chen

IEEE Trans. Comput. Soc. Syst., June, 2026

Democratic Recommendation With User and Item Representatives Produced by Graph Condensation.

Jiahao Liang, Haoran Yang, Xiangyu Zhao, Zhiwen Yu, Guandong Xu, Wanyu Wang, Kaixiang Yang

IEEE Trans. Knowl. Data Eng., May, 2026

Weighted Subspace Graph Learning for High-Dimensional Data.

Guojie Li, Zhiwen Yu, Ziwei Fan, Kaixiang Yang, C. L. Philip Chen

IEEE Trans. Knowl. Data Eng., March, 2026

Dynamic Chunk-Based Active Learning Based on Enhanced Broad Learning System for Imbalanced Drifting Data Streams.

Mianfen Lin, Zhiwen Yu, Kaixiang Yang, C. L. Philip Chen

IEEE Trans. Knowl. Data Eng., February, 2026

Adaptive Weighted Double Uncertainty Incrementally Active Learning for Multi-Class Imbalanced Data.

Wuxing Chen, Zhiwen Yu, Kaixiang Yang, Ziwei Fan, C. L. Philip Chen

IEEE Trans. Knowl. Data Eng., February, 2026

Tensor-Based Semi-Supervised Multiview Subspace Clustering With Pairwise Constraint Propagation.

Zhiwen Yu, Chenchen Yu, Kaixiang Yang, Xu Chen, Yifan Shi, C. L. Philip Chen

IEEE Trans. Cybern., February, 2026

Semi-Supervised Ensemble Classifier Based on Distance Constraint for High-Dimensional Data.

Guojie Li, Ziwei Fan, Zhiwen Yu, Kaixiang Yang, C. L. Philip Chen

IEEE Trans. Syst. Man Cybern. Syst., January, 2026

Multimodal Affect Perception With Large Language Model Enhancement Network.

Kaixiang Yang, Yifan Luo, Zongyan Zhang, C. L. Philip Chen, Tong Zhang

IEEE Trans. Affect. Comput., 2026

Diffusion masked autoencoders as casual-aware curriculum learner for graph out-of-distribution generalization.

Jiahao Liang, Wuxing Chen, Zhiwen Yu, Tong Zhang, C. L. Philip Chen, Kaixiang Yang

Inf. Fusion, 2026

Interval forecast of natural gas daily consumption based on spatial-temporal Bayesian model.

Yanyun Pu, Chengyuan Zhu, Gongxin Yao, Kaixiang Yang, Qinmin Yang, C. L. Philip Chen

Adv. Eng. Informatics, 2026

C-HyPOD: Causal Hyperbolic Representation Learning with Prototype Orthogonal Disentanglement for Graph Out-of-Distribution Recommendation.

Jiahao Liang, Yutian Xiao, Haoran Yang, Zhiwen Yu, Jia-Nan Liu, Kaixiang Yang

Proceedings of the ACM Web Conference 2026, 2026

BidMatch: Boosting Semi-Supervised Learning by Bi-Dimensional Sample Weight Guidance.

Xianling Yang, Zhiwen Yu, Song Sun, Kaixiang Yang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

LLM40FD: Unlocking the Potential of LLM for Anonymous Zero-Shot Fraud Detection.

Kaixiang Yang, Zhijie Zhong, Song Sun, Zhiwen Yu, C. L. Philip Chen, Tong Zhang

IEEE Trans. Comput. Soc. Syst., December, 2025

PatchAD: A Lightweight Patch-Based MLP-Mixer for Time Series Anomaly Detection.

Zhijie Zhong, Zhiwen Yu, Yiyuan Yang, Weizheng Wang, Kaixiang Yang, C. L. Philip Chen

IEEE Trans. Big Data, December, 2025

Ensemble Approaches for Dynamic Data Stream Classification Under Label Scarcity.

Zhiwen Yu, Siyong Huang, Kaixiang Yang, Jianming Lv, C. L. Philip Chen

IEEE Trans. Big Data, December, 2025

Hybrid Ensemble Framework for Imbalanced Data Streams With Concept Drift.

Mianfen Lin, Zhiwen Yu, Kaixiang Yang, C. L. Philip Chen

IEEE Trans. Big Data, December, 2025

SimAD: A Simple Dissimilarity-Based Approach for Time-Series Anomaly Detection.

Zhijie Zhong, Zhiwen Yu, Xing Xi, Yue Xu, Wenming Cao, Yiyuan Yang, Kaixiang Yang, Jane You

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

Incremental Semisupervised Learning With Adaptive Locality Preservation for High-Dimensional Data.

Guojie Li, Zhiwen Yu, Kaixiang Yang, Ziwei Fan, C. L. Philip Chen

IEEE Trans. Artif. Intell., November, 2025

Large Language Model Enhanced Graph Invariant Contrastive Learning for Out-of-Distribution Recommendation.

Jiahao Liang, Haoran Yang, Xiangyu Zhao, Zhiwen Yu, Mianjie Li, Chuan Shi, Kaixiang Yang

CoRR, November, 2025

Labels Matter More Than Models: Quantifying the Benefit of Supervised Time Series Anomaly Detection.

Zhijie Zhong, Zhiwen Yu, Kaixiang Yang, C. L. Philip Chen

CoRR, November, 2025

CCE: Confidence-Consistency Evaluation for Time Series Anomaly Detection.

Zhijie Zhong, Zhiwen Yu, Yiu-ming Cheung, Kaixiang Yang

CoRR, September, 2025

Ensemble Denoising Autoencoders Based on Broad Learning System for Time-Series Anomaly Detection.

Yuanxin Lin, Zhiwen Yu, Kaixiang Yang, C. L. Philip Chen

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

Mamba-Unet-Depth: Enhancing Long-Range Dependency for Photon-Efficient Imaging.

Yanyun Pu, Chengyuan Zhu, Gongxin Yao, Yu Pan, Kaixiang Yang, Qinmin Yang

IEEE Trans. Circuits Syst. II Express Briefs, August, 2025

Computational imaging based on single-photon detection: a survey.

Yanyun Pu, Chengyuan Zhu, Gongxin Yao, Chao Li, Yu Pan, Kaixiang Yang, Qinmin Yang

Artif. Intell. Rev., August, 2025

A review on multi-view learning.

Zhiwen Yu, Ziyang Dong, Chenchen Yu, Kaixiang Yang, Ziwei Fan, C. L. Philip Chen

Frontiers Comput. Sci., July, 2025

Adaptive Broad Network With Graph-Fuzzy Embedding for Imbalanced Noise Data.

Wuxing Chen, Kaixiang Yang, Zhiwen Yu, Feiping Nie, C. L. Philip Chen

IEEE Trans. Fuzzy Syst., June, 2025

Adaptive Dictionary Learning for Multiview Subspace Clustering.

Xu Chen, Zhiwen Yu, Ziwei Fan, Kaixiang Yang, C. L. Philip Chen

IEEE Trans. Cybern., June, 2025

Adaptive Memory Broad Learning System for Unsupervised Time Series Anomaly Detection.

Zhijie Zhong, Zhiwen Yu, Ziwei Fan, C. L. Philip Chen, Kaixiang Yang

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

RoHyDR: Robust Hybrid Diffusion Recovery for Incomplete Multimodal Emotion Recognition.

Yuehan Jin, Xiaoqing Liu, Yiyuan Yang, Zhiwen Yu, Tong Zhang, Kaixiang Yang

CoRR, May, 2025

Ensemble-Enhanced Semi-Supervised Learning With Optimized Graph Construction for High-Dimensional Data.

Guojie Li, Zhiwen Yu, Kaixiang Yang, C. L. Philip Chen, Xuelong Li

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

Ensemble Prototype Networks for Unsupervised Cross-Modal Hashing With Cross-Task Consistency.

Xiaoqing Liu, Huanqiang Zeng, Yifan Shi, Jianqing Zhu, Kaixiang Yang, Zhiwen Yu

IEEE Trans. Multim., 2025

Enhanced Cross-Modal Hashing via Hybrid Distillation and Structural Refinement.

Xiaoqing Liu, Zhiwen Yu, Kaixiang Yang, Jun Yu, Huanqiang Zeng, C. L. Philip Chen

IEEE Trans. Image Process., 2025

HIA-Net: Hierarchical Interactive Alignment Network for Multimodal Few-Shot Emotion Recognition.

Yuankang Fu, Kaixiang Yang, Song Sun, Xinrong Gong, Huanqiang Zeng

IEEE Signal Process. Lett., 2025

Transferable and discriminative broad network for unsupervised domain adaptation.

Liujian Zhang, Zhiwen Yu, Kaixiang Yang, Bin Wang, C. L. Philip Chen

Knowl. Based Syst., 2025

Enhancing named entity recognition with external knowledge from large language model.

Qi Li, Tingyu Xie, Jian Zhang, Ke Ma, Jiayuan Su, Kaixiang Yang, Hongwei Wang

Knowl. Based Syst., 2025

Minimum variance weighted broad cascade network structure for imbalanced classification.

Wuxing Chen, Zhiwen Yu, Kaixiang Yang, Jun Jiang, Fan Zhang, C. L. Philip Chen

Knowl. Based Syst., 2025

Diverse Models, United Goal: A Comprehensive Survey of Ensemble Learning.

Ziwei Fan, Zhiwen Yu, Kaixiang Yang, Wuxing Chen, Xiaoqing Liu, Guojie Li, Xianling Yang, C. L. Philip Chen

CAAI Trans. Intell. Technol., 2025

HumanMoD: A multi-RAG collaborative LLM for inclusive urban public healthcare services.

Song Sun, Zhijie Zhong, Nanlan Yu, Xinrong Gong, Kaixiang Yang

Appl. Soft Comput., 2025

MVQA-68K: A Multi-dimensional and Causally-annotated Dataset with Quality Interpretability for Video Assessment.

Yanyun Pu, Kehan Li, Zeyi Huang, Zhijie Zhong, Kaixiang Yang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Semi-supervised Multi-view Learning with Graph-Based Consistent Feature Fusion.

Guojie Li, Zhiwen Yu, Ziwei Fan, Kaixiang Yang

Proceedings of the Advances in Neural Networks - ISNN 2025, 2025

2024

AdaBoost-Stacking Based on Incremental Broad Learning System.

Fan Yun, Zhiwen Yu, Kaixiang Yang, C. L. Philip Chen

IEEE Trans. Knowl. Data Eng., December, 2024

Solving the Imbalanced Problem by Metric Learning and Oversampling.

Kaixiang Yang, Zhiwen Yu, Wuxing Chen, Zefeng Liang, C. L. Philip Chen

IEEE Trans. Knowl. Data Eng., December, 2024

A Lightweight Pipeline Edge Detection Model Based on Heterogeneous Knowledge Distillation.

Chengyuan Zhu, Yanyun Pu, Zhuoling Lyu, Aonan Wu, Kaixiang Yang, Qinmin Yang

IEEE Trans. Circuits Syst. II Express Briefs, December, 2024

Simplified Kernel-Based Cost-Sensitive Broad Learning System for Imbalanced Fault Diagnosis.

Kaixiang Yang, Wuxing Chen, Yifan Shi, Zhiwen Yu, C. L. Philip Chen

IEEE Trans. Artif. Intell., December, 2024

Exploring Feature Selection With Limited Labels: A Comprehensive Survey of Semi-Supervised and Unsupervised Approaches.

Guojie Li, Zhiwen Yu, Kaixiang Yang, Mianfen Lin, C. L. Philip Chen

IEEE Trans. Knowl. Data Eng., November, 2024

Boosting Adaptive Weighted Broad Learning System for Multi-Label Learning.

Yuanxin Lin, Zhiwen Yu, Kaixiang Yang, Ziwei Fan, C. L. Philip Chen

IEEE CAA J. Autom. Sinica, November, 2024

A Novel Multiscale Transformer Network Framework for Natural Gas Consumption Forecasting.

Yanyun Pu, Chengyuan Zhu, Kaixiang Yang, Zhuoling Lü, Qinmin Yang

IEEE Trans. Ind. Informatics, August, 2024

A Novel Visual Transformer for Long-Distance Pipeline Pattern Recognition in Complex Environment.

Chengyuan Zhu, Yanyun Pu, Kaixiang Yang, Qinmin Yang, C. L. Philip Chen

IEEE Trans. Artif. Intell., June, 2024

A survey on imbalanced learning: latest research, applications and future directions.

Wuxing Chen, Kaixiang Yang, Zhiwen Yu, Yifan Shi, C. L. Philip Chen

Artif. Intell. Rev., June, 2024

Hybrid Ensemble Broad Learning System for Network Intrusion Detection.

Mianfen Lin, Kaixiang Yang, Zhiwen Yu, Yifan Shi, C. L. Philip Chen

IEEE Trans. Ind. Informatics, April, 2024

Broad Learning Autoencoder With Graph Structure for Data Clustering.

Zhiwen Yu, Zhijie Zhong, Kaixiang Yang, Wenming Cao, C. L. Philip Chen

IEEE Trans. Knowl. Data Eng., January, 2024

Two-Stage Intrusion Events Recognition for Vibration Signals From Distributed Optical Fiber Sensors.

Zhuoling Lyu, Chengyuan Zhu, Yanyun Pu, Zuan Chen, Kaixiang Yang, Qinmin Yang

IEEE Trans. Instrum. Meas., 2024

When large language model meets optimization.

Sen Huang, Kaixiang Yang, Sheng Qi, Rui Wang

Swarm Evol. Comput., 2024

Self-balancing Incremental Broad Learning System with privacy protection.

Weiwen Zhang, Ziyu Liu, Yifeng Jiang, Wuxing Chen, Bowen Zhao, Kaixiang Yang

Neural Networks, 2024

Multidimensional information fusion and broad learning system-based condition recognition for energy pipeline safety.

Chengyuan Zhu, Yanyun Pu, Zhuoling Lyu, Kaixiang Yang, Qinmin Yang

Knowl. Based Syst., 2024

Multiview ensemble clustering of hypergraph p-Laplacian regularization with weighting and denoising.

Dacheng Zheng, Zhiwen Yu, Wuxing Chen, Weiwen Zhang, Qiying Feng, Yifan Shi, Kaixiang Yang

Inf. Sci., 2024

Di-GraphGAN: An enhanced adversarial learning framework for accurate spatial-temporal traffic forecasting under data missing scenarios.

Lincan Li, Jichao Bi, Kaixiang Yang, Fengji Luo

Inf. Sci., 2024

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System.

Pengyu Li, Zhijie Zhong, Tong Zhang, Zhiwen Yu, C. L. Philip Chen, Kaixiang Yang

CoRR, 2024

SimAD: A Simple Dissimilarity-based Approach for Time Series Anomaly Detection.

Zhijie Zhong, Zhiwen Yu, Xing Xi, Yue Xu, Jiahui Chen, Kaixiang Yang

CoRR, 2024

PatchAD: Patch-based MLP-Mixer for Time Series Anomaly Detection.

Zhijie Zhong, Zhiwen Yu, Yiyuan Yang, Weizheng Wang, Kaixiang Yang

CoRR, 2024

STS-CCL: Spatial-Temporal Synchronous Contextual Contrastive Learning for Urban Traffic Forecasting.

Lincan Li, Kaixiang Yang, Jichao Bi, Fengji Luo

Proceedings of the IEEE International Conference on Acoustics, 2024

Insightful Simplicity: Dissimilarity in Time Series Anomaly Detection.

Zhijie Zhong, Zhiwen Yu, Jiahui Chen, Kaixiang Yang

Proceedings of the ACM Turing Award Celebration Conference 2024, 2024

AI-Based Energy Transportation Safety: Pipeline Radial Threat Estimation Using Intelligent Sensing System.

Chengyuan Zhu, Yiyuan Yang, Kaixiang Yang, Haifeng Zhang, Qinmin Yang, C. L. Philip Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

RPSC: Robust Pseudo-Labeling for Semantic Clustering.

Sihang Liu, Wenming Cao, Ruigang Fu, Kaixiang Yang, Zhiwen Yu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Adaptive Ensemble Clustering With Boosting BLS-Based Autoencoder.

Yifan Shi, Kaixiang Yang, Zhiwen Yu, C. L. Philip Chen, Huanqiang Zeng

IEEE Trans. Knowl. Data Eng., December, 2023

Extracting and Composing Robust Features With Broad Learning System.

Kaixiang Yang, Yuchen Liu, Zhiwen Yu, C. L. Philip Chen

IEEE Trans. Knowl. Data Eng., April, 2023

Distributed Optical Fiber Intrusion Detection by Image Encoding and SwinT in Multi-Interference Environment of Long-Distance Pipeline.

Chengyuan Zhu, Yanyun Pu, Kaixiang Yang, Qinmin Yang, C. L. Philip Chen

IEEE Trans. Instrum. Meas., 2023

A Novel AMSS-FFN for Underwater Multisource Localization Using Artificial Lateral Line.

Yanyun Pu, Chengyuan Zhu, Kaixiang Yang, Huan Hu, Qinmin Yang

IEEE Trans. Instrum. Meas., 2023

Stacked One-Class Broad Learning System for Intrusion Detection in Industry 4.0.

Kaixiang Yang, Yifan Shi, Zhiwen Yu, Qinmin Yang, Arun Kumar Sangaiah, Huanqiang Zeng

IEEE Trans. Ind. Informatics, 2023

Hybrid Clustering Solutions Fusion based on Gated Three-way Decision.

Kaixiang Yang, Yifan Shi, Zhiwen Yu, Zhijie Zhong, Jichao Bi, Mengzhi Wang

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

Progressive Hybrid Classifier Ensemble for Imbalanced Data.

Kaixiang Yang, Zhiwen Yu, C. L. Philip Chen, Wenming Cao, Hau-San Wong, Jane You, Guoqiang Han

IEEE Trans. Syst. Man Cybern. Syst., 2022

Semisupervised Classification With Novel Graph Construction for High-Dimensional Data.

Zhiwen Yu, Fengxu Ye, Kaixiang Yang, Wenming Cao, C. L. Philip Chen, Lianglun Cheng, Jane You, Hau-San Wong

IEEE Trans. Neural Networks Learn. Syst., 2022

Incremental Weighted Ensemble Broad Learning System for Imbalanced Data.

Kaixiang Yang, Zhiwen Yu, C. L. Philip Chen, Wenming Cao, Jane You, Hau-San Wong

IEEE Trans. Knowl. Data Eng., 2022

Double-kernelized weighted broad learning system for imbalanced data.

Wuxing Chen, Kaixiang Yang, Weiwen Zhang, Yifan Shi, Zhiwen Yu

Neural Comput. Appl., 2022

Double-kernel based class-specific broad learning system for multiclass imbalance learning.

Wuxing Chen, Kaixiang Yang, Zhiwen Yu, Weiwen Zhang

Knowl. Based Syst., 2022

MGC-GAN: Multi-Graph Convolutional Generative Adversarial Networks for Accurate Citywide Traffic Flow Prediction.

Lincan Li, Jichao Bi, Kaixiang Yang, Fengji Luo, Luxing Yang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Spatial-Temporal Semantic Generative Adversarial Networks for Flexible Multi-step Urban Flow Prediction.

Lincan Li, Jichao Bi, Kaixiang Yang, Fengji Luo

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021

Pruning Broad Learning System based on Adaptive Feature Evolution.

Yuchen Liu, Kaixiang Yang, Zhiwen Yu, Zhulin Liu, Yifan Shi, C. L. Philip Chen

Proceedings of the International Joint Conference on Neural Networks, 2021

Local Tangent Generative Adversarial Network for Imbalanced Data Classification.

Zhihao Li, Zhiwen Yu, Kaixiang Yang, Yifan Shi, Yuhong Xu, C. L. Philip Chen

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Hybrid Classifier Ensemble for Imbalanced Data.

Kaixiang Yang, Zhiwen Yu, Xin Wen, Wenming Cao, C. L. Philip Chen, Hau-San Wong, Jane You

IEEE Trans. Neural Networks Learn. Syst., 2020