Triplet Deep Hashing with Joint Supervised Loss for Fast Image Retrieval. - Mingyong Li; Hongya Wang; Liangliang Wang; Kaixiang Yang; Yingyuan Xiao (ICTAI, 2019)

A Note on Graph-Based Nearest Neighbor Search. - Hongya Wang; Zhizheng Wang; Wei Wang 009; Yingyuan Xiao; Zeng Zhao; Kaixiang Yang (CoRR, 2020)

Hybrid Classifier Ensemble for Imbalanced Data. - Kaixiang Yang; Zhiwen Yu 002; Xin Wen; Wenming Cao 002; C. L. Philip Chen; Hau-San Wong; Jane You (IEEE Trans. Neural Networks Learn. Syst., 2020)

Approximate Nearest Neighbor Search Using Query-Directed Dense Graph. - Hongya Wang; Zeng Zhao; Kaixiang Yang; Hui Song; Yingyuan Xiao (DASFAA (Workshops), 2021)

Local Tangent Generative Adversarial Network for Imbalanced Data Classification. - Zhihao Li; Zhiwen Yu 002; Kaixiang Yang; Yifan Shi; Yuhong Xu; C. L. Philip Chen (IJCNN, 2021)

Pruning Broad Learning System based on Adaptive Feature Evolution. - Yuchen Liu; Kaixiang Yang; Zhiwen Yu 002; Zhulin Liu; Yifan Shi; C. L. Philip Chen (IJCNN, 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 (PG (Short Papers, Posters, and Work-in-Progress Papers), 2021)

Tao: A Learning Framework for Adaptive Nearest Neighbor Search using Static Features Only. - Kaixiang Yang; Hongya Wang; Bo Xu 023; Wei Wang 009; Yingyuan Xiao; Ming Du; Junfeng Zhou (CoRR, 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 009; Xiaobo Luo; Xiuhong Li (Remote. Sens., 2021)

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 (IC4E, 2022)

Spatial-Temporal Semantic Generative Adversarial Networks for Flexible Multi-step Urban Flow Prediction. - Lincan Li; Jichao Bi; Kaixiang Yang; Fengji Luo (ICANN (3), 2022)

Few-Shot Learning with Improved Local Representations via Bias Rectify Module. - Chao Dong; Qi Ye; Wenchao Meng; Kaixiang Yang (ICASSP, 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 (SMC, 2022)

Adaptive Fusion Based Method for Imbalanced Data Classification. - Zefeng Liang; Huan Wang; Kaixiang Yang; Yifan Shi (Frontiers Neurorobotics, 2022)

Double-kernel based class-specific broad learning system for multiclass imbalance learning. - Wuxing Chen; Kaixiang Yang; Zhiwen Yu 002; Weiwen Zhang (Knowl. Based Syst., 2022)

Double-kernelized weighted broad learning system for imbalanced data. - Wuxing Chen; Kaixiang Yang; Weiwen Zhang; Yifan Shi; Zhiwen Yu 002 (Neural Comput. Appl., 2022)

Reconstruction of Sentinel-2 Image Time Series Using Google Earth Engine. - Kaixiang Yang; Youming Luo; Mengyao Li; Shouyi Zhong; Qiang Liu 009; Xiuhong Li (Remote. Sens., 2022)

A Taylor Expansion Algorithm for Spatial Downscaling of MODIS Land Surface Temperature. - Shumin Wang; Youming Luo; Mengyao Li; Kaixiang Yang; Qiang Liu 009; Xiuhong Li (IEEE Trans. Geosci. Remote. Sens., 2022)

Incremental Weighted Ensemble Broad Learning System for Imbalanced Data. - Kaixiang Yang; Zhiwen Yu 002; C. L. Philip Chen; Wenming Cao 002; Jane You; Hau-San Wong (IEEE Trans. Knowl. Data Eng., 2022)

Semisupervised Classification With Novel Graph Construction for High-Dimensional Data. - Zhiwen Yu 002; Fengxu Ye; Kaixiang Yang; Wenming Cao 002; C. L. Philip Chen; Lianglun Cheng; Jane You; Hau-San Wong (IEEE Trans. Neural Networks Learn. Syst., 2022)

Progressive Hybrid Classifier Ensemble for Imbalanced Data. - Kaixiang Yang; Zhiwen Yu 002; C. L. Philip Chen; Wenming Cao 002; Hau-San Wong; Jane You; Guoqiang Han (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Long-Distance Pipeline Intrusion Warning Based on Environment Embedding from Distributed Optical Fiber Sensing. - Chengyuan Zhu; Yanyun Pu; Zhuoling Lyu; Jiren Qian; Kaixiang Yang (ICANN (10), 2023)

Leveraging Attribute Knowledge for Open-set Action Recognition. - Kaixiang Yang; Junyu Gao 002; Yangbo Feng; Changsheng Xu (ICME, 2023)

Hybrid Clustering Solutions Fusion based on Gated Three-way Decision. - Kaixiang Yang; Yifan Shi; Zhiwen Yu 002; Zhijie Zhong; Jichao Bi; Mengzhi Wang (IJCNN, 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)

Stacked One-Class Broad Learning System for Intrusion Detection in Industry 4.0. - Kaixiang Yang; Yifan Shi; Zhiwen Yu 002; Qinmin Yang; Arun Kumar Sangaiah; Huanqiang Zeng (IEEE Trans. Ind. Informatics, 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)

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)

Extracting and Composing Robust Features With Broad Learning System. - Kaixiang Yang; Yuchen Liu; Zhiwen Yu 002; C. L. Philip Chen (IEEE Trans. Knowl. Data Eng., 2023)

Adaptive Ensemble Clustering With Boosting BLS-Based Autoencoder. - Yifan Shi; Kaixiang Yang; Zhiwen Yu 002; C. L. Philip Chen; Huanqiang Zeng (IEEE Trans. Knowl. Data Eng., 2023)

RPSC: Robust Pseudo-Labeling for Semantic Clustering. - Sihang Liu 007; Wenming Cao 002; Ruigang Fu; Kaixiang Yang; Zhiwen Yu 002 (AAAI, 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 (AAAI, 2024)

Insightful Simplicity: Dissimilarity in Time Series Anomaly Detection. - Zhijie Zhong; Zhiwen Yu 002; Jiahui Chen 001; Kaixiang Yang (ACM TUR-C, 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 013; Pheng-Ann Heng; Qiang Li 018; Zhiwei Wang 002 (BIBM, 2024)

STS-CCL: Spatial-Temporal Synchronous Contextual Contrastive Learning for Urban Traffic Forecasting. - Lincan Li; Kaixiang Yang; Jichao Bi; Fengji Luo (ICASSP, 2024)

Vision-Assisted Cross-Modal Haptic Data Compression for Immersive Communication. - Hang Lu; Kaixiang Yang; Wenqin Zhuang; Mingkai Chen (WCNC, 2024)

PatchAD: Patch-based MLP-Mixer for Time Series Anomaly Detection. - Zhijie Zhong; Zhiwen Yu 002; Yiyuan Yang; Weizheng Wang; 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 001; Qiming Zhang; Kaixiang Yang; Wenjie Zhang (CoRR, 2024)

SimAD: A Simple Dissimilarity-based Approach for Time Series Anomaly Detection. - Zhijie Zhong; Zhiwen Yu 002; Xing Xi; Yue Xu; Jiahui Chen 001; 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)

A New Perspective on Time Series Anomaly Detection: Faster Patch-based Broad Learning System. - Pengyu Li; Zhijie Zhong; Tong Zhang 015; Zhiwen Yu 002; C. L. Philip Chen; Kaixiang Yang (CoRR, 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)

Multiview ensemble clustering of hypergraph p-Laplacian regularization with weighting and denoising. - Dacheng Zheng; Zhiwen Yu 002; Wuxing Chen; Weiwen Zhang; Qiying Feng; Yifan Shi; Kaixiang Yang (Inf. Sci., 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)

Self-balancing Incremental Broad Learning System with privacy protection. - Weiwen Zhang; Ziyu Liu; Yifeng Jiang 006; Wuxing Chen; Bowen Zhao; Kaixiang Yang (Neural Networks, 2024)

When large language model meets optimization. - Sen Huang; Kaixiang Yang; Sheng Qi; Rui Wang 017 (Swarm Evol. Comput., 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)

Broad Learning Autoencoder With Graph Structure for Data Clustering. - Zhiwen Yu 002; Zhijie Zhong; Kaixiang Yang; Wenming Cao 002; C. L. Philip Chen (IEEE Trans. Knowl. Data Eng., 2024)

Hybrid Ensemble Broad Learning System for Network Intrusion Detection. - Mianfen Lin; Kaixiang Yang; Zhiwen Yu 002; Yifan Shi; C. L. Philip Chen (IEEE Trans. Ind. Informatics, 2024)

A survey on imbalanced learning: latest research, applications and future directions. - Wuxing Chen; Kaixiang Yang; Zhiwen Yu 002; Yifan Shi; C. L. Philip Chen (Artif. Intell. Rev., 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., 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, 2024)

Boosting Adaptive Weighted Broad Learning System for Multi-Label Learning. - Yuanxin Lin; Zhiwen Yu 002; Kaixiang Yang; Ziwei Fan 003; C. L. Philip Chen (IEEE CAA J. Autom. Sinica, 2024)

Exploring Feature Selection With Limited Labels: A Comprehensive Survey of Semi-Supervised and Unsupervised Approaches. - Guojie Li; Zhiwen Yu 002; Kaixiang Yang; Mianfen Lin; C. L. Philip Chen (IEEE Trans. Knowl. Data Eng., 2024)

Simplified Kernel-Based Cost-Sensitive Broad Learning System for Imbalanced Fault Diagnosis. - Kaixiang Yang; Wuxing Chen; Yifan Shi; Zhiwen Yu 002; C. L. Philip Chen (IEEE Trans. Artif. Intell., 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, 2024)

Solving the Imbalanced Problem by Metric Learning and Oversampling. - Kaixiang Yang; Zhiwen Yu 002; Wuxing Chen; Zefeng Liang; C. L. Philip Chen (IEEE Trans. Knowl. Data Eng., 2024)

AdaBoost-Stacking Based on Incremental Broad Learning System. - Fan Yun; Zhiwen Yu 002; Kaixiang Yang; C. L. Philip Chen (IEEE Trans. Knowl. Data Eng., 2024)

DACAT: Dual-stream Adaptive Clip-aware Time Modeling for Robust Online Surgical Phase Recognition. - Kaixiang Yang; Qiang Li 018; Zhiwei Wang 002 (ICASSP, 2025)

Semi-supervised Multi-view Learning with Graph-Based Consistent Feature Fusion. - Guojie Li; Zhiwen Yu 002; Ziwei Fan 003; Kaixiang Yang (ISNN, 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)

Intermediate features matter in prototype-guided personalized federated learning. - Peifeng Zhang; Jiahui Chen; Chunxiang Xiang; Huiwu Huang; Huaien Jiang; Kaixiang Yang (Inf. Fusion, 2025)

Minimum variance weighted broad cascade network structure for imbalanced classification. - Wuxing Chen; Zhiwen Yu 002; Kaixiang Yang; Jun Jiang 003; Fan Zhang; 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 083; Ke Ma; Jiayuan Su; Kaixiang Yang; Hongwei Wang 001 (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)

Transferable and discriminative broad network for unsupervised domain adaptation. - Liujian Zhang; Zhiwen Yu 002; Kaixiang Yang; Bin Wang 048; C. L. Philip Chen (Knowl. Based Syst., 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 003; Yong Xia 001; Yanzhou Su; et al. (Medical Image Anal., 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)

Ensemble Prototype Networks for Unsupervised Cross-Modal Hashing With Cross-Task Consistency. - Xiaoqing Liu; Huanqiang Zeng; Yifan Shi; Jianqing Zhu; Kaixiang Yang; Zhiwen Yu 002 (IEEE Trans. Multim., 2025)

Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge. - Muhammad Imran 013; 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; et al. (CoRR, 2025)

Ensemble-Enhanced Semi-Supervised Learning With Optimized Graph Construction for High-Dimensional Data. - Guojie Li; Zhiwen Yu 002; Kaixiang Yang; C. L. Philip Chen; Xuelong Li 001 (IEEE Trans. Pattern Anal. Mach. Intell., 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, 2025)

RoHyDR: Robust Hybrid Diffusion Recovery for Incomplete Multimodal Emotion Recognition. - Yuehan Jin; Xiaoqing Liu; Yiyuan Yang; Zhiwen Yu 002; Tong Zhang 015; Kaixiang Yang (CoRR, 2025)

Adaptive Memory Broad Learning System for Unsupervised Time Series Anomaly Detection. - Zhijie Zhong; Zhiwen Yu 002; Ziwei Fan 003; C. L. Philip Chen; Kaixiang Yang (IEEE Trans. Neural Networks Learn. Syst., 2025)

Adaptive Dictionary Learning for Multiview Subspace Clustering. - Xu Chen; Zhiwen Yu 002; Ziwei Fan 003; Kaixiang Yang; C. L. Philip Chen (IEEE Trans. Cybern., 2025)

Adaptive Broad Network With Graph-Fuzzy Embedding for Imbalanced Noise Data. - Wuxing Chen; Kaixiang Yang; Zhiwen Yu 002; Feiping Nie 001; C. L. Philip Chen (IEEE Trans. Fuzzy Syst., 2025)

Joint Holistic and Lesion Controllable Mammogram Synthesis via Gated Conditional Diffusion Model. - Xin Li; Kaixiang Yang; Qiang Li; Zhiwei Wang (CoRR, 2025)

A review on multi-view learning. - Zhiwen Yu 002; Ziyang Dong; Chenchen Yu; Kaixiang Yang; Ziwei Fan 003; C. L. Philip Chen (Frontiers Comput. Sci., 2025)

Computational imaging based on single-photon detection: a survey. - Yanyun Pu; Chengyuan Zhu; Gongxin Yao; Chao Li; Yu Pan 001; Kaixiang Yang; Qinmin Yang (Artif. Intell. Rev., 2025)

AdaFusion: Prompt-Guided Inference with Adaptive Fusion of Pathology Foundation Models. - Yuxiang Xiao; Yang Hu; Bin Li; Tianyang Zhang 003; Zexi Li; Huazhu Fu; Jens Rittscher; Kaixiang Yang (CoRR, 2025)

Mamba-Unet-Depth: Enhancing Long-Range Dependency for Photon-Efficient Imaging. - Yanyun Pu; Chengyuan Zhu; Gongxin Yao; Yu Pan 001; Kaixiang Yang; Qinmin Yang (IEEE Trans. Circuits Syst. II Express Briefs, 2025)

Ensemble Denoising Autoencoders Based on Broad Learning System for Time-Series Anomaly Detection. - Yuanxin Lin; Zhiwen Yu 002; Kaixiang Yang; C. L. Philip Chen (IEEE Trans. Neural Networks Learn. Syst., 2025)