A Novel Approach of Identifying User Intents in Microblog. - Chenxing Li; Yajun Du; Jia Liu 033; Hao Zheng; SiDa Wang 003 (ICIC (3), 2016)

A CWTM Model of Topic Extraction for Short Text. - Yunlan Diao; Yajun Du; Pan Xiao; Jia Liu 033 (CCKS, 2017)

Micro-blog User Community Detection by Focusing on Micro-blog Content and Community Structure. - Jia Liu 033; Yajun Du; Ji-zhong Ren (CCKS, 2017)

Social community evolution by combining gravitational relationship with community structure. - Jia Liu 033; Yajun Du; Qing Li; Chun-Long Fu (Intell. Data Anal., 2018)

Network Energy: A New Energy of A Graph. - Shengjiu Liu; Tianrui Li 001; Jie Zhu; Guoqiang Wang; Jia Liu 033; Peng Xie 002 (ISKE, 2019)

Urban flows prediction from spatial-temporal data using machine learning: A survey. - Peng Xie 002; Tianrui Li 001; Jia Liu 033; Shengdong Du; Xin Yang 012; Junbo Zhang (CoRR, 2019)

Detecting and Evolving Microblog Community Based on Structure and Gravity Cohesion. - Jinrong Hu; Yajun Du; Jia Liu 033 (IEEE Access, 2020)

Urban big data fusion based on deep learning: An overview. - Jia Liu 033; Tianrui Li 001; Peng Xie 002; Shengdong Du; Fei Teng 001; Xin Yang 012 (Inf. Fusion, 2020)

Urban flow prediction from spatiotemporal data using machine learning: A survey. - Peng Xie 002; Tianrui Li 001; Jia Liu 033; Shengdong Du; Xin Yang 012; Junbo Zhang (Inf. Fusion, 2020)

Attribute reduction methods in fuzzy rough set theory: An overview, comparative experiments, and new directions. - Zhong Yuan; Hongmei Chen 001; Peng Xie 002; Pengfei Zhang 016; Jia Liu 033; Tianrui Li 001 (Appl. Soft Comput., 2021)

Fuzzy information entropy-based adaptive approach for hybrid feature outlier detection. - Zhong Yuan; Hongmei Chen 001; Tianrui Li 001; Jia Liu 033; Shu Wang (Fuzzy Sets Syst., 2021)

An overview of air quality analysis by big data techniques: Monitoring, forecasting, and traceability. - Wei Huang 037; Tianrui Li 001; Jia Liu 033; Peng Xie 002; Shengdong Du; Fei Teng 001 (Inf. Fusion, 2021)

A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data. - Pengfei Zhang 016; Tianrui Li 001; Zhong Yuan; Chuan Luo 001; Guoqiang Wang; Jia Liu 033; Shengdong Du (Inf. Fusion, 2022)

Symbolic aggregate approximation based data fusion model for dangerous driving behavior detection. - Jia Liu 033; Tianrui Li 001; Zhong Yuan; Wei Huang 037; Peng Xie 002; Qianqian Huang (Inf. Sci., 2022)

Interactive and Complementary Feature Selection via Fuzzy Multigranularity Uncertainty Measures. - Jihong Wan; Hongmei Chen 001; Tianrui Li 001; Zhong Yuan; Jia Liu 033; Wei Huang 037 (IEEE Trans. Cybern., 2023)

A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization. - Dexian Wang 001; Tianrui Li 001; Ping Deng 002; Fan Zhang 108; Wei Huang 037; Pengfei Zhang 016; Jia Liu 033 (ACM Trans. Knowl. Discov. Data, 2023)

Urban Flow Pattern Mining Based on Multi-Source Heterogeneous Data Fusion and Knowledge Graph Embedding. - Jia Liu 033; Tianrui Li 001; Shenggong Ji; Peng Xie 002; Shengdong Du; Fei Teng 001; Junbo Zhang (IEEE Trans. Knowl. Data Eng., 2023)

Anomaly detection based on weighted fuzzy-rough density. - Zhong Yuan; Baiyang Chen; Jia Liu 033; Hongmei Chen 001; Dezhong Peng; Peilin Li (Appl. Soft Comput., 2023)

A Generalized Deep Learning Algorithm Based on NMF for Multi-View Clustering. - Dexian Wang 001; Tianrui Li 001; Ping Deng 002; Jia Liu 033; Wei Huang 037; Fan Zhang 108 (IEEE Trans. Big Data, 2023)

FedDSR: Daily Schedule Recommendation in a Federated Deep Reinforcement Learning Framework. - Wei Huang 037; Jia Liu 033; Tianrui Li 001; Tianqiang Huang; Shenggong Ji; Jihong Wan (IEEE Trans. Knowl. Data Eng., 2023)

Cross-Domain Knowledge Graph Chiasmal Embedding for Multi-Domain Item-Item Recommendation. - Jia Liu 033; Wei Huang 037; Tianrui Li 001; Shenggong Ji; Junbo Zhang (IEEE Trans. Knowl. Data Eng., 2023)

FedCKE: Cross-Domain Knowledge Graph Embedding in Federated Learning. - Wei Huang 037; Jia Liu 033; Tianrui Li 001; Shenggong Ji; Dexian Wang 001; Tianqiang Huang (IEEE Trans. Big Data, 2023)

Constructing better prototype generators with 3D CNNs for few-shot text classification. - Xuyang Wang; Yajun Du; Danroujing Chen; Xianyong Li; Xiaoliang Chen; Yan-Li Lee 001; Jia Liu 033 (Expert Syst. Appl., 2023)

SLAFusion: Attention fusion based on SAX and LSTM for dangerous driving behavior detection. - Jia Liu 033; Wei Huang 037; Hao Li; Shenggong Ji; Yajun Du; Tianrui Li 001 (Inf. Sci., 2023)

Dual adversarial network with meta-learning for domain-generalized few-shot text classification. - Xuyang Wang; Yajun Du; Danroujing Chen; Xianyong Li; Xiaoliang Chen; Yongquan Fan; Chunzhi Xie; Yanli Li 001; Jia Liu 033; Hui Li (Appl. Soft Comput., 2023)

A Negative Sample Enhancement Strategy to Improve Contrastive Learning for Unsupervised Sentence Representation. - Hao Li; Chunzhi Xie; Zhoulin Cao; Yan-Li Lee 001; Jia Liu 033; Zhisheng Gao (IEEE Big Data, 2024)

Few-shot intent detection with mutual information and contrastive learning. - Shun Yang; Yajun Du; Jiaming Huang; Xianyong Li; Shangyi Du; Jia Liu 033; Yanli Li 001 (Appl. Soft Comput., 2024)

Few-shot multi-domain text intent classification with Dynamic Balance Domain Adaptation Meta-learning. - Shun Yang; Yajun Du; Jia Liu 033; Xianyong Li; Xiaoliang Chen; Hongmei Gao; Chunzhi Xie; Yan-Li Lee 001 (Expert Syst. Appl., 2024)

Label-text bi-attention capsule networks model for multi-label text classification. - Gang Wang 057; Yajun Du; Yurui Jiang; Jia Liu 033; Xianyong Li; Xiaoliang Chen; Hongmei Gao; Chunzhi Xie; Yan-Li Lee 001 (Neurocomputing, 2024)

Multimodal federated learning: Concept, methods, applications and future directions. - Wei Huang 037; Dexian Wang 001; Xiaocao Ouyang; Jihong Wan; Jia Liu 033; Tianrui Li 001 (Inf. Fusion, 2024)

FedDAF: Federated deep attention fusion for dangerous driving behavior detection. - Jia Liu 033; Nijing Yang; Yan-Li Lee 001; Wei Huang 037; Yajun Du; Tianrui Li 001; Pengfei Zhang 016 (Inf. Fusion, 2024)

Surrounding and context-aware network for individual emotion complement in social networks. - Sai Kang; Yajun Du; Xianyong Li; Xiaoliang Chen; Chunzhi Xie; Jia Liu 033; Yan-Li Lee 001 (Appl. Soft Comput., 2025)

Does user interest matter? Exploring the impact of ignoring user interests in recommendations. - Lijia Chen; Chang Sun; Yan-Li Lee 001; Qingsong Pu; Xinru Chen; Jia Liu 033; Yajun Du; Wen-Bo Xie (Expert Syst. Appl., 2025)

Individual neighbor aware sentiment prediction approach based on irregular time series. - Sai Kang; Yajun Du; Xianyong Li; Xiaoliang Chen; Chunzhi Xie; Jia Liu 033; Yan-Li Lee 001 (Expert Syst. Appl., 2025)

Few-shot cyberviolence intent classification with Meta-learning AutoEncoder based on adversarial domain adaptation. - Shun Yang; Yajun Du; Shangyi Du; Xianyong Li; Xiaoliang Chen; Yanli Li 001; Chunzhi Xie; Jia Liu 033 (Neurocomputing, 2025)

A dual-branch federated graph learning model with global graph structure information. - Wei Huang 037; Chao Zhu; Yanyong Huang; Jia Liu 033; Tianrui Li 001 (Knowl. Based Syst., 2025)

DGN: influence maximization based on deep reinforcement learning. - Jingwen Wang; Zhoulin Cao; Chunzhi Xie; Yanli Li 001; Jia Liu 033; Zhisheng Gao (J. Supercomput., 2025)

Daily Schedule Recommendation in Urban Life Based on Deep Reinforcement Learning. - Jia Liu 033; Donghai Zhai; Wei Huang 037; Shenggong Ji; Junbo Zhang; Tianrui Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Big data fusion with knowledge graph: a comprehensive overview. - Jia Liu 033; Ruotian Lan; Yajun Du; Xipeng Yuan; Huan Xu; Tianrui Li 001; Wei Huang 037; Pengfei Zhang 016 (Appl. Intell., 2025)

Completion of irregular emotion sequence based on users' social relationships and historical emotions. - Qiang Liu; Hao Li; Chunzhi Xie; Kexin Xu; Yajun Du; Xianyong Li; Yanli Li 001; Jia Liu 033 (Int. J. Parallel Emergent Distributed Syst., 2025)

A Federated Framework for Air Quality Prediction With Predefined Graph and Adaptive Graph. - Wei Huang 037; Feng Wang; Junling Chen; Jia Liu 033; Zhiquan Liu; Tianrui Li 001 (IEEE Internet Things J., 2025)

ODMGIS: An Outlier Detection Method Based on Multigranularity Information Sets. - Pengfei Zhang 016; Zhaoxuan He; Dexian Wang 001; Tao Jiang 014; Baolin Li; Jia Liu 033; Wei Huang 037; Tianrui Li 001 (IEEE Trans. Fuzzy Syst., 2025)

FedMDKGE: Multi-granularity Dynamic Knowledge Graph Embedding in Federated Learning. - Wei Huang 037; Junling Chen; Dexian Wang 001; Pengfei Zhang 016; Jia Liu 033; Tianrui Li 001 (Int. J. Comput. Intell. Syst., 2025)