Incremental fuzzy probabilistic rough sets over dual universes. - Jie Hu 007; Tianrui Li 001; Chuan Luo 001; Shaoyong Li (FUZZ-IEEE, 2015)

Incremental updating fuzzy rough approximations for dynamic hybrid data under the variation of attribute values. - Anping Zeng; Tianrui Li 001; Chuan Luo 001; Jie Hu 007 (ICMLC, 2015)

Dominance-Based Neighborhood Rough Sets and Its Attribute Reduction. - Hongmei Chen 001; Tianrui Li 001; Chuan Luo 001; Jie Hu 007 (RSKT, 2015)

Reversible steganography using extended image interpolation technique. - Jie Hu 007; Tianrui Li 001 (Comput. Electr. Eng., 2015)

An Incremental Learning Approach for Updating Approximations in Rough Set Model over Dual Universes. - Jie Hu 007; Tianrui Li 001; Hongmei Chen 001; Anping Zeng (Int. J. Intell. Syst., 2015)

Update of approximations in composite information systems. - Shaoyong Li; Tianrui Li 001; Jie Hu 007 (Knowl. Based Syst., 2015)

Hierarchical cluster ensemble model based on knowledge granulation. - Jie Hu 007; Tianrui Li 001; Hongjun Wang 002; Hamido Fujita (Knowl. Based Syst., 2016)

An Overlapping Clustering Approach with Correlation Weight. - Yingge Xu; Yan Yang 001; Hongjun Wang 002; Jie Hu 007 (IJCRS (1), 2017)

Incremental fuzzy probabilistic rough sets over two universes. - Jie Hu 007; Tianrui Li 001; Chuan Luo 001; Hamido Fujita; Shaoyong Li (Int. J. Approx. Reason., 2017)

Dynamical updating fuzzy rough approximations for hybrid data under the variation of attribute values. - Anping Zeng; Tianrui Li 001; Jie Hu 007; Hongmei Chen 001; Chuan Luo 001 (Inf. Sci., 2017)

Incremental fuzzy cluster ensemble learning based on rough set theory. - Jie Hu 007; Tianrui Li 001; Chuan Luo 001; Hamido Fujita; Yan Yang 001 (Knowl. Based Syst., 2017)

Web Video Clustering Based on Emotion Category. - Vinath Mekthanavanh; Tianrui Li 001; Jie Hu 007; Yan Yang 001 (BDET, 2018)

TW-Co-MFC: Two-Level Weighted Collaborative Multi-view Fuzzy Clustering Based on Maximum Entropy. - Jie Hu 007; Yi Pan 001; Tianrui Li 001; Yan Yang 001 (CBD, 2019)

Optimal Cluster Leader Selection Using MCDM Methods in MWSN: A Comparative Study. - Muqeet Ahmad; Jie Hu 007; Mushtaq Ahmad; Zaid Al-Huda; Faisal Khurshid 001 (ISKE, 2019)

Concept-Enhanced Multi-view Clustering of Document Data. - Bassoma Diallo; Jie Hu 007; Tianrui Li 001; Ghufran Ahmad Khan; Chunyan Ji (ISKE, 2019)

RFMC: A Rough Fuzzy Multi-view Clustering Approach. - Jie Hu 007; Tianrui Li 001; Yan Yang 001; Peng Xie 002; Xueli Xiao (ISKE, 2019)

Dynamical Information Fusion of Multisource Incomplete Hybrid Information Systems Based on Conditional Entropy. - Qianqian Huang; Tianrui Li 001; Xin Yang 012; Jie Hu 007 (ISKE, 2019)

Weighted Multi-View Data Clustering via Joint Non-Negative Matrix Factorization. - Ghufran Ahmad Khan; Jie Hu 007; Tianrui Li 001; Bassoma Diallo; Qianqian Huang (ISKE, 2019)

Multi-Objective Particle Swarm optimization Algorithm Based on Angle Preference and Three-Archive Sets. - Jing Li; Yan Yang 001; Jie Hu 007 (ISKE, 2019)

Fast Deep Learning Training through Intelligently Freezing Layers. - Xueli Xiao; Thosini Bamunu Mudiyanselage; Chunyan Ji; Jie Hu 007; Yi Pan 001 (iThings/GreenCom/CPSCom/SmartData, 2019)

Social web video clustering based on multi-modal and clustering ensemble. - Vinath Mekthanavanh; Tianrui Li 001; Jie Hu 007; Yan Yang 001 (Neurocomputing, 2019)

Social web video clustering based on multi-view clustering via nonnegative matrix factorization. - Vinath Mekthanavanh; Tianrui Li 001; Hua Meng 001; Yan Yang 001; Jie Hu 007 (Int. J. Mach. Learn. Cybern., 2019)

A review on crowd simulation and modeling. - Shanwen Yang; Tianrui Li 001; Xun Gong 002; Bo Peng 006; Jie Hu 007 (Graph. Model., 2020)

A novel approach for efficient updating approximations in dynamic ordered information systems. - Shu Wang; Tianrui Li 001; Chuan Luo 001; Jie Hu 007; Hamido Fujita; Tianqiang Huang (Inf. Sci., 2020)

K-Means Clustering with Fairness Constraints. - Weiting Xu; Jie Hu 007; Shengdong Du; Yan Yang 001 (ISKE, 2021)

Prediction of properties of metal alloy materials based on machine learning. - Houchen Zuo; Yongquan Jiang; Yan Yang 001; Jie Hu 007 (CoRR, 2021)

Deep embedding clustering based on contractive autoencoder. - Bassoma Diallo; Jie Hu 007; Tianrui Li 001; Ghufran Ahmad Khan; Xinyan Liang; Yimiao Zhao (Neurocomputing, 2021)

Multi-view clustering via deep concept factorization. - Shuai Chang; Jie Hu 007; Tianrui Li 001; Hao Wang 068; Bo Peng 006 (Knowl. Based Syst., 2021)

Spatio-Temporal Latent Graph Structure Learning for Traffic Forecasting. - Jiabin Tang; Tang Qian; Shijing Liu; Shengdong Du; Jie Hu 007; Tianrui Li 001 (IJCNN, 2022)

Battering Review Spam Through Ensemble Learning in Imbalanced Datasets. - Faisal Khurshid 001; Yan Zhu 007; Jie Hu 007; Muqeet Ahmad; Mushtaq Ahmad (Comput. J., 2022)

DRAformer: Differentially Reconstructed Attention Transformer for Time-Series Forecasting. - Benhan Li; Shengdong Du; Tianrui Li 001; Jie Hu 007; Zhen Jia (CoRR, 2022)

Hardness prediction of age-hardening aluminum alloy based on ensemble learning. - Houchen Zuo; Yongquan Jiang; Yan Yang 001; Baoying Liu; Jie Hu 007 (CoRR, 2022)

Prediction of superconducting properties of materials based on machine learning models. - Jie Hu 007; Yongquan Jiang; Yan Yang 001; Houchen Zuo (CoRR, 2022)

Deep linear graph attention model for attributed graph clustering. - Huifa Liao; Jie Hu 007; Tianrui Li 001; Shengdong Du; Bo Peng 006 (Knowl. Based Syst., 2022)

Multi-view document clustering based on geometrical similarity measurement. - Bassoma Diallo; Jie Hu 007; Tianrui Li 001; Ghufran Ahmad Khan; Ahmed Saad Hussein (Int. J. Mach. Learn. Cybern., 2022)

Consistency regularization for deep semi-supervised clustering with pairwise constraints. - Dan Huang; Jie Hu 007; Tianrui Li 001; Shengdong Du; Hongmei Chen 001 (Int. J. Mach. Learn. Cybern., 2022)

Multi-view data clustering via non-negative matrix factorization with manifold regularization. - Ghufran Ahmad Khan; Jie Hu 007; Tianrui Li 001; Bassoma Diallo; Hongjun Wang 002 (Int. J. Mach. Learn. Cybern., 2022)

Multi-view low rank sparse representation method for three-way clustering. - Ghufran Ahmad Khan; Jie Hu 007; Tianrui Li 001; Bassoma Diallo; Yimiao Zhao (Int. J. Mach. Learn. Cybern., 2022)

Spatio-Temporal Meta Contrastive Learning. - Jiabin Tang; Lianghao Xia; Jie Hu 007; Chao Huang 001 (CIKM, 2023)

An effective multi-task learning model for end-to-end emotion-cause pair extraction. - Chenbing Li; Jie Hu 007; Tianrui Li 001; Shengdong Du; Fei Teng 001 (Appl. Intell., 2023)

A Pre-trained Data Deduplication Model based on Active Learning. - Xinyao Liu; Shengdong Du; Fengmao Lv; Hongtao Xue; Jie Hu 007; Tianrui Li 001 (CoRR, 2023)

A Method of Sharing Sentence Vectors for Opinion Triplet Extraction. - Wenwen Liu; Jie Hu 007; Shengdong Du; Hongmei Chen 001; Fei Teng 001 (Neural Process. Lett., 2023)

A contrastive learning based universal representation for time series forecasting. - Jie Hu 007; Zhanao Hu; Tianrui Li 001; Shengdong Du (Inf. Sci., 2023)

Multi-view clustering for multiple manifold learning via concept factorization. - Ghufran Ahmad Khan; Jie Hu 007; Tianrui Li 001; Bassoma Diallo; Hongjun Wang 002 (Digit. Signal Process., 2023)

DBAFormer: A Double-Branch Attention Transformer for Long-Term Time Series Forecasting. - Ji Huang; Minbo Ma; Yongsheng Dai; Jie Hu 007; Shengdong Du (Hum. Centric Intell. Syst., 2023)

Text semantic matching with an enhanced sample building method based on contrastive learning. - Lishan Wu; Jie Hu 007; Fei Teng 001; Tianrui Li 001; Shengdong Du (Int. J. Mach. Learn. Cybern., 2023)

Multi-view subspace clustering for learning joint representation via low-rank sparse representation. - Ghufran Ahmad Khan; Jie Hu 007; Tianrui Li 001; Bassoma Diallo; Shengdong Du (Appl. Intell., 2023)

Auto-attention mechanism for multi-view deep embedding clustering. - Bassoma Diallo; Jie Hu 007; Tianrui Li 001; Ghufran Ahmad Khan; Xinyan Liang; Hongjun Wang 002 (Pattern Recognit., 2023)

Graph Deep Active Learning Framework for Data Deduplication. - Huan Cao; Shengdong Du; Jie Hu 007; Yan Yang 001; Shi-Jinn Horng; Tianrui Li 001 (Big Data Min. Anal., 2024)

USL-Net: Uncertainty self-learning network for unsupervised skin lesion segmentation. - Xiaofan Li; Bo Peng 006; Jie Hu 007; Changyou Ma; Daipeng Yang; Zhuyang Xie (Biomed. Signal Process. Control., 2024)

Weakly supervised semantic segmentation by knowledge graph inference. - Jia Zhang; Bo Peng 006; Xi Wu 004; Jie Hu 007 (Eng. Appl. Artif. Intell., 2024)

Spatio-temporal adaptive convolution and bidirectional motion difference fusion for video action recognition. - Linxi Li; Mingwei Tang; Zhendong Yang; Jie Hu 007; Mingfeng Zhao (Expert Syst. Appl., 2024)

INA-Net: An integrated noise-adaptive attention neural network for enhanced medical image segmentation. - Jianqiao Xiong; Mingwei Tang; Liansong Zong; Linxi Li; Jie Hu 007; Deng Bian; Shixuan Lv (Expert Syst. Appl., 2024)

KaTaGCN: Knowledge-Augmented and Time-Aware Graph Convolutional Network for efficient traffic forecasting. - Yuyan Wang; Jie Hu 007; Fei Teng 001; Lilan Peng; Shengdong Du; Tianrui Li 001 (Inf. Fusion, 2024)

Information bottleneck fusion for deep multi-view clustering. - Jie Hu 007; Chenghao Yang; Kai Huang; Hongjun Wang 002; Bo Peng 006; Tianrui Li 001 (Knowl. Based Syst., 2024)

Temporal knowledge graph reasoning based on relation graphs and time-guided attention mechanism. - Jie Hu 007; Yinglian Zhu; Fei Teng 001; Tianrui Li 001 (Knowl. Based Syst., 2024)

A knowledge graph completion model based on triple level interaction and contrastive learning. - Jie Hu 007; Hongqun Yang; Fei Teng 001; Shengdong Du; Tianrui Li 001 (Pattern Recognit., 2024)

A Bio-Inspired Network With Automatic Brightness Adaptation for Pavement Crack Detection in Different Environments. - Zhenguang Zhang; Zaid Al-Huda; Bo Peng 006; Jie Hu 007 (IEEE Trans. Instrum. Meas., 2024)

An effective relation-first detection model for relational triple extraction. - Juan Chen; Jie Hu 007; Tianrui Li 001; Fei Teng 001; Shengdong Du (Expert Syst. Appl., 2024)

A vulnerability detection algorithm based on residual graph attention networks for source code imbalance (RGAN). - Mingwei Tang; Wei Tang; Qingchi Gui; Jie Hu 007; Mingfeng Zhao (Expert Syst. Appl., 2024)

Few-shot ICD coding with knowledge transfer and evidence representation. - Fei Teng 001; Quanmei Zhang; Xiaomin Zhou; Jie Hu 007; Tianrui Li 001 (Expert Syst. Appl., 2024)

Transformer-based thin crack segmentation: an efficient multiscale approach for automatic visual inspection. - Omar Al-maqtari; Bo Peng 006; Zaid Al-Huda; Jie Hu 007 (Signal Image Video Process., 2024)

RP-KGC: A Knowledge Graph Completion Model Integrating Rule-Based Knowledge for Pretraining and Inference. - Wenying Guo; Shengdong Du; Jie Hu 007; Fei Teng 001; Yan Yang 001; Tianrui Li 001 (Big Data Min. Anal., 2025)

A refined methodology for small object detection: Multi-scale feature extraction and cross-stage feature fusion network. - Deng Bian; Mingwei Tang; Miaogui Ling; Haowen Xu; Shixuan Lv; Qi Tang; Jie Hu 007 (Digit. Signal Process., 2025)

Efficient fire and smoke detection in complex environments via adaptive spatial feature fusion and dual attention mechanism. - Jie Hu 007; Lei Wang; Bo Peng 006; Fei Teng 001; Tianrui Li 001 (Digit. Signal Process., 2025)

A pre-trained data deduplication model based on active learning. - Haochen Shi; Xinyao Liu; Fengmao Lv; Hongtao Xue; Jie Hu 007; Shengdong Du; Tianrui Li 001 (Expert Syst. Appl., 2025)

Multiple-level Enhanced Graph Convolutional Network for Aspect Sentiment Triplet Extraction. - Haowen Xu; Mingwei Tang; Tao Cai; Jie Hu 007; Zhongyuan Jiang; Deng Bian; Shixuan Lv (Neurocomputing, 2025)

Pre-training Enhanced Transformer for multivariate time series anomaly detection. - Chao Wang; Haochen Shi; Jie Hu 007; Xin Yang 012; Junbo Zhang; Shengdong Du; Tianrui Li 001 (Inf. Fusion, 2025)

A small object detection model for drone images based on multi-attention fusion network. - Jie Hu 007; Ting Pang; Bo Peng 006; Yongguo Shi; Tianrui Li 001 (Image Vis. Comput., 2025)

Weakly-supervised locally linear embedding model for discriminant feature learning. - Luqing Wang; Chengsu Wang; Hongjun Wang 002; Chongshou Li; Jie Hu 007; Tianrui Li 001 (Knowl. Based Syst., 2025)

Text semantic matching algorithm based on the introduction of external knowledge under contrastive learning. - Jie Hu 007; Yinglian Zhu; Lishan Wu; Qilei Luo; Fei Teng 001; Tianrui Li 001 (Int. J. Mach. Learn. Cybern., 2025)

A dynamic graph attention network with contrastive learning for knowledge graph completion. - Xujiang Li; Jie Hu 007; Jingling Wang; Tianrui Li 001 (World Wide Web (WWW), 2025)

LightST: A Simplifying Spatio-Temporal Graph Neural Network for Traffic Flow Forecasting. - Jie Hu 007; Taichuan Zheng; Lilan Peng; Fei Teng 001; Shengdong Du; Tianrui Li 001 (IEEE Trans. Big Data, 2025)

JTFNet: A joint time-frequency domain network for multivariate time series forecasting. - Jie Hu 007; Kai Huang; Yuyan Wang; Shengdong Du; Tianrui Li 001 (Inf. Fusion, 2026)