Kaixiang Yang

According to our database, Kaixiang Yang authored at least 82 papers between 2019 and 2025.

Collaborative distances:

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

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

AdaFusion: Prompt-Guided Inference with Adaptive Fusion of Pathology Foundation Models.

Yuxiang Xiao, Yang Hu, Bin Li, Tianyang Zhang, Zexi Li, Huazhu Fu, Jens Rittscher, Kaixiang Yang

CoRR, 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

Joint Holistic and Lesion Controllable Mammogram Synthesis via Gated Conditional Diffusion Model.

Xin Li, Kaixiang Yang, Qiang Li, Zhiwei Wang

CoRR, 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

CoStoDet-DDPM: Collaborative Training of Stochastic and Deterministic Models Improves Surgical Workflow Anticipation and Recognition.

Kaixiang Yang, Xin Li, Qiang Li, Zhiwei Wang

CoRR, March, 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

Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge.

Muhammad Imran, Jonathan R. Krebs, Vishal Balaji Sivaraman, Teng Zhang, Amarjeet Kumar, Walker R. Ueland, Michael J. Fassler, Jinlong Huang, Xiao Sun, Lisheng Wang, Pengcheng Shi, Maximilian Rokuss, Michael Baumgartner, Yannick Kirchhoff, Klaus H. Maier-Hein, Fabian Isensee, Shuolin Liu, Bing Han, Bong Thanh Nguyen, Dong-jin Shin, Park Ji-Woo, Mathew Choi, Kwang-Hyun Uhm, Sung-Jea Ko, Chanwoong Lee, Jaehee Chun, Jin Sung Kim, Minghui Zhang, Hanxiao Zhang, Xin You, Yun Gu, Zhaohong Pan, Xuan Liu, Xiaokun Liang, Markus Tiefenthaler, Enrique Almar-Munoz, Matthias Schwab, Mikhail Kotyushev, Rostislav Epifanov, Marek Wodzinski, Henning Müller, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Zhiwei Wang, Kaixiang Yang, Jintao Ren, Stine Sofia Korreman, Yuchong Gao, Hongye Zeng, Haoyu Zheng, Rui Zheng, Jinghua Yue, Fugen Zhou, Bo Liu, Alexander Cosman, Muxuan Liang, Chang Zhao, Gilbert R. Upchurch Jr., Jun Ma, Yuyin Zhou, Michol A. Cooper, Wei Shao

CoRR, 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

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

SegRap2023: A benchmark of organs-at-risk and gross tumor volume Segmentation for Radiotherapy Planning of Nasopharyngeal Carcinoma.

Xiangde Luo, Jia Fu, Yunxin Zhong, Shuolin Liu, Bing Han, Mehdi Astaraki, Simone Bendazzoli, Iuliana Toma-Dasu, Yiwen Ye, Ziyang Chen, Yong Xia, Yanzhou Su, Jin Ye, Junjun He, Zhaohu Xing, Hongqiu Wang, Lei Zhu, Kaixiang Yang, Xin Fang, Zhiwei Wang, Chan Woong Lee, Sang Joon Park, Jaehee Chun, Constantin Ulrich, Klaus H. Maier-Hein, Nchongmaje Ndipenoch, Alina Dana Miron, Yongmin Li, Yimeng Zhang, Yu Chen, Lu Bai, Jinlong Huang, Chengyang An, Lisheng Wang, Kaiwen Huang, Yunqi Gu, Tao Zhou, Mu Zhou, Shichuan Zhang, Wenjun Liao, Guotai Wang, Shaoting Zhang

Medical Image Anal., 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

DHR-BLS: A Huber-type robust broad learning system with its distributed version.

Yuao Zhang, Shuya Ke, Jing Li, Weihua Liu, Jueliang Hu, Kaixiang Yang

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

Intermediate features matter in prototype-guided personalized federated learning.

Peifeng Zhang, Jiahui Chen, Chunxiang Xiang, Huiwu Huang, Huaien Jiang, Kaixiang Yang

Inf. Fusion, 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

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

DACAT: Dual-stream Adaptive Clip-aware Time Modeling for Robust Online Surgical Phase Recognition.

Kaixiang Yang, Qiang Li, Zhiwei Wang

Proceedings of the 2025 IEEE International Conference on Acoustics, 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

DACAT: Dual-stream Adaptive Clip-aware Time Modeling for Robust Online Surgical Phase Recognition.

Kaixiang Yang, Qiang Li, Zhiwei Wang

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

Data-Centric Evolution in Autonomous Driving: A Comprehensive Survey of Big Data System, Data Mining, and Closed-Loop Technologies.

Lincan Li, Wei Shao, Wei Dong, Yijun Tian, Qiming Zhang, Kaixiang Yang, Wenjie Zhang

CoRR, 2024

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

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

CoRR, 2024

Vision-Assisted Cross-Modal Haptic Data Compression for Immersive Communication.

Hang Lu, Kaixiang Yang, Wenqin Zhuang, Mingkai Chen

Proceedings of the IEEE Wireless Communications and Networking Conference, 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

Decoupling Feature Representations of Ego and Other Modalities for Incomplete Multi-modal Brain Tumor Segmentation.

Kaixiang Yang, Wenqi Shan, Xudong Li, Xuan Wang, Xikai Yang, Xi Wang, Pheng-Ann Heng, Qiang Li, Zhiwei Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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

An efficient indexing technique for billion-scale nearest neighbor search.

Kaixiang Yang, Hongya Wang, Ming Du, Zhizheng Wang, Zongyuan Tan, Jie Zhang, Yingyuan Xiao

Multim. Tools Appl., 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

Leveraging Attribute Knowledge for Open-set Action Recognition.

Kaixiang Yang, Junyu Gao, Yangbo Feng, Changsheng Xu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Long-Distance Pipeline Intrusion Warning Based on Environment Embedding from Distributed Optical Fiber Sensing.

Chengyuan Zhu, Yanyun Pu, Zhuoling Lyu, Jiren Qian, Kaixiang Yang

Proceedings of the Artificial Neural Networks and Machine Learning, 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

A Taylor Expansion Algorithm for Spatial Downscaling of MODIS Land Surface Temperature.

Shumin Wang, Youming Luo, Mengyao Li, Kaixiang Yang, Qiang Liu, Xiuhong Li

IEEE Trans. Geosci. Remote. Sens., 2022

Reconstruction of Sentinel-2 Image Time Series Using Google Earth Engine.

Kaixiang Yang, Youming Luo, Mengyao Li, Shouyi Zhong, Qiang Liu, Xiuhong Li

Remote. Sens., 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

Adaptive Fusion Based Method for Imbalanced Data Classification.

Zefeng Liang, Huan Wang, Kaixiang Yang, Yifan Shi

Frontiers Neurorobotics, 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

Few-Shot Learning with Improved Local Representations via Bias Rectify Module.

Chao Dong, Qi Ye, Wenchao Meng, Kaixiang Yang

Proceedings of the IEEE International Conference on Acoustics, 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

Exploring Industrial Evolution with Correlation Analysis and Smoothing Forecasting: A Case of Marine Industry in Guangdong Province of South China.

Wuxing Chen, Weiwen Zhang, Kaixiang Yang, Dacheng Zheng, Lianglun Cheng

Proceedings of the IC4E 2022: 13th International Conference on E-Education, E-Business, E-Management, and E-Learning, Tokyo, Japan, January 14, 2022

2021

Downscaling Land Surface Temperature Based on Non-Linear Geographically Weighted Regressive Model over Urban Areas.

Shumin Wang, Youming Luo, Xia Li, Kaixiang Yang, Qiang Liu, Xiaobo Luo, Xiuhong Li

Remote. Sens., 2021

Tao: A Learning Framework for Adaptive Nearest Neighbor Search using Static Features Only.

Kaixiang Yang, Hongya Wang, Bo Xu, Wei Wang, Yingyuan Xiao, Ming Du, Junfeng Zhou

CoRR, 2021

Hierarchical Link and Code: Efficient Similarity Search for Billion-Scale Image Sets.

Kaixiang Yang, Hongya Wang, Ming Du, Zhizheng Wang, Zongyuan Tan, Yingyuan Xiao

Proceedings of the 29th Pacific Conference on Computer Graphics and Applications, 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

Approximate Nearest Neighbor Search Using Query-Directed Dense Graph.

Hongya Wang, Zeng Zhao, Kaixiang Yang, Hui Song, Yingyuan Xiao

Proceedings of the Database Systems for Advanced Applications. DASFAA 2021 International Workshops, 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

A Note on Graph-Based Nearest Neighbor Search.

Hongya Wang, Zhizheng Wang, Wei Wang, Yingyuan Xiao, Zeng Zhao, Kaixiang Yang

CoRR, 2020

2019

Triplet Deep Hashing with Joint Supervised Loss for Fast Image Retrieval.

Mingyong Li, Hongya Wang, Liangliang Wang, Kaixiang Yang, Yingyuan Xiao

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019