Jia Liu

50 papers B 1Misc 1Journal 45Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
AttenMamba: Enhancing long and short-range dependencies with state space model for aspect-based sentiment analysis.
Neurocomputing
Xiaojia Mo, Yu Huang, Xinyue Zhang, Chunzhi Xie, Jia Liu, Zhisheng Gao
2026 J jnl
DCCL: Question-guided dual-channel contrastive learning framework for emotion-cause pair extraction.
Expert Syst. Appl.
Hongyang Wang, Yajun Du, Jia Liu, Xianyong Li, Xiaoliang Chen, Yan-Li Lee, Qing Qi, Wanjie Zhang
2026 J jnl
Multi-Party Federated Urban Flow Mining and Analysis Based on Lazy Aggregation.
IEEE Trans. Knowl. Data Eng.
Wenyuan Fang, Wei Huang, Yanhua Liu, Jia Liu, Tianrui Li
2026 J jnl
SSEDF: A shared-private semantic enhanced dynamic fusion network for multimodal sentiment analysis.
Expert Syst. Appl.
Wanjie Zhang, Yajun Du, Hongyang Wang, Jia Liu, Xianyong Li
2026 J jnl
Triple-supervised progressive contrastive learning for heterogeneous graph embedding.
Inf. Fusion
Huan Xu, Jia Liu, Xipeng Yuan, Wei Huang, Yajun Du, Tianrui Li
2025 J jnl
A Federated Framework for Air Quality Prediction With Predefined Graph and Adaptive Graph.
IEEE Internet Things J.
Wei Huang, Feng Wang, Junling Chen, Jia Liu, Zhiquan Liu, Tianrui Li
2025 J jnl
A dual-branch federated graph learning model with global graph structure information.
Knowl. Based Syst.
Wei Huang, Chao Zhu, Yanyong Huang, Jia Liu, Tianrui Li
2025 J jnl
Big data fusion with knowledge graph: a comprehensive overview.
Appl. Intell.
Jia Liu, Ruotian Lan, Yajun Du, Xipeng Yuan, Huan Xu, Tianrui Li, Wei Huang, Pengfei Zhang
2025 J jnl
Completion of irregular emotion sequence based on users' social relationships and historical emotions.
Int. J. Parallel Emergent Distributed Syst.
Qiang Liu, Hao Li, Chunzhi Xie, Kexin Xu, Yajun Du, Xianyong Li, Yanli Li, Jia Liu
2025 J jnl
Conversational emotion prediction based on appraisal theory.
Soft Comput.
Kexin Xu, Chunzhi Xie, Qiang Liu, Yajun Du, Xianyong Li, Yan-Li Lee, Jia Liu
2025 J jnl
DGN: influence maximization based on deep reinforcement learning.
J. Supercomput.
Jingwen Wang, Zhoulin Cao, Chunzhi Xie, Yanli Li, Jia Liu, Zhisheng Gao
2025 J jnl
Daily Schedule Recommendation in Urban Life Based on Deep Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst.
Jia Liu, Donghai Zhai, Wei Huang, Shenggong Ji, Junbo Zhang, Tianrui Li
2025 J jnl
Does user interest matter? Exploring the impact of ignoring user interests in recommendations.
Expert Syst. Appl.
Lijia Chen, Chang Sun, Yan-Li Lee, Qingsong Pu, Xinru Chen, Jia Liu, Yajun Du, Wen-Bo Xie
2025 J jnl
FedMDKGE: Multi-granularity Dynamic Knowledge Graph Embedding in Federated Learning.
Int. J. Comput. Intell. Syst.
Wei Huang, Junling Chen, Dexian Wang, Pengfei Zhang, Jia Liu, Tianrui Li
2025 J jnl
Few-shot cyberviolence intent classification with Meta-learning AutoEncoder based on adversarial domain adaptation.
Neurocomputing
Shun Yang, Yajun Du, Shangyi Du, Xianyong Li, Xiaoliang Chen, Yanli Li, Chunzhi Xie, Jia Liu
2025 J jnl
Individual neighbor aware sentiment prediction approach based on irregular time series.
Expert Syst. Appl.
Sai Kang, Yajun Du, Xianyong Li, Xiaoliang Chen, Chunzhi Xie, Jia Liu, Yan-Li Lee
2025 J jnl
ODMGIS: An Outlier Detection Method Based on Multigranularity Information Sets.
IEEE Trans. Fuzzy Syst.
Pengfei Zhang, Zhaoxuan He, Dexian Wang, Tao Jiang, Baolin Li, Jia Liu, Wei Huang, Tianrui Li
2025 J jnl
Sequential contrastive learning for progressive knowledge tracing.
Knowl. Based Syst.
Yi-Fei Wen, Hang Liang, Carl Yang, Tao Zhou, Jia Liu, Yajun Du, Yan-Li Lee
2025 J jnl
Surrounding and context-aware network for individual emotion complement in social networks.
Appl. Soft Comput.
Sai Kang, Yajun Du, Xianyong Li, Xiaoliang Chen, Chunzhi Xie, Jia Liu, Yan-Li Lee
2024 B conf
A Negative Sample Enhancement Strategy to Improve Contrastive Learning for Unsupervised Sentence Representation.
IEEE Big Data
Hao Li, Chunzhi Xie, Zhoulin Cao, Yan-Li Lee, Jia Liu, Zhisheng Gao
2024 J jnl
FedDAF: Federated deep attention fusion for dangerous driving behavior detection.
Inf. Fusion
Jia Liu, Nijing Yang, Yan-Li Lee, Wei Huang, Yajun Du, Tianrui Li, Pengfei Zhang
2024 J jnl
Few-shot intent detection with mutual information and contrastive learning.
Appl. Soft Comput.
Shun Yang, Yajun Du, Jiaming Huang, Xianyong Li, Shangyi Du, Jia Liu, Yanli Li
2024 J jnl
Few-shot multi-domain text intent classification with Dynamic Balance Domain Adaptation Meta-learning.
Expert Syst. Appl.
Shun Yang, Yajun Du, Jia Liu, Xianyong Li, Xiaoliang Chen, Hongmei Gao, Chunzhi Xie, Yan-Li Lee
2024 J jnl
Label-text bi-attention capsule networks model for multi-label text classification.
Neurocomputing
Gang Wang, Yajun Du, Yurui Jiang, Jia Liu, Xianyong Li, Xiaoliang Chen, Hongmei Gao, Chunzhi Xie, Yan-Li Lee
2024 J jnl
Multimodal federated learning: Concept, methods, applications and future directions.
Inf. Fusion
Wei Huang, Dexian Wang, Xiaocao Ouyang, Jihong Wan, Jia Liu, Tianrui Li
2023 J jnl
A Generalized Deep Learning Algorithm Based on NMF for Multi-View Clustering.
IEEE Trans. Big Data
Dexian Wang, Tianrui Li, Ping Deng, Jia Liu, Wei Huang, Fan Zhang
2023 J jnl
A Generalized Deep Learning Clustering Algorithm Based on Non-Negative Matrix Factorization.
ACM Trans. Knowl. Discov. Data
Dexian Wang, Tianrui Li, Ping Deng, Fan Zhang, Wei Huang, Pengfei Zhang, Jia Liu
2023 J jnl
Anomaly detection based on weighted fuzzy-rough density.
Appl. Soft Comput.
Zhong Yuan, Baiyang Chen, Jia Liu, Hongmei Chen, Dezhong Peng, Peilin Li
2023 J jnl
Constructing better prototype generators with 3D CNNs for few-shot text classification.
Expert Syst. Appl.
Xuyang Wang, Yajun Du, Danroujing Chen, Xianyong Li, Xiaoliang Chen, Yan-Li Lee, Jia Liu
2023 J jnl
Cross-Domain Knowledge Graph Chiasmal Embedding for Multi-Domain Item-Item Recommendation.
IEEE Trans. Knowl. Data Eng.
Jia Liu, Wei Huang, Tianrui Li, Shenggong Ji, Junbo Zhang
2023 J jnl
Dual adversarial network with meta-learning for domain-generalized few-shot text classification.
Appl. Soft Comput.
Xuyang Wang, Yajun Du, Danroujing Chen, Xianyong Li, Xiaoliang Chen, Yongquan Fan, Chunzhi Xie, Yanli Li, Jia Liu, Hui Li
2023 J jnl
FedCKE: Cross-Domain Knowledge Graph Embedding in Federated Learning.
IEEE Trans. Big Data
Wei Huang, Jia Liu, Tianrui Li, Shenggong Ji, Dexian Wang, Tianqiang Huang
2023 J jnl
FedDSR: Daily Schedule Recommendation in a Federated Deep Reinforcement Learning Framework.
IEEE Trans. Knowl. Data Eng.
Wei Huang, Jia Liu, Tianrui Li, Tianqiang Huang, Shenggong Ji, Jihong Wan
2023 J jnl
Interactive and Complementary Feature Selection via Fuzzy Multigranularity Uncertainty Measures.
IEEE Trans. Cybern.
Jihong Wan, Hongmei Chen, Tianrui Li, Zhong Yuan, Jia Liu, Wei Huang
2023 J jnl
SLAFusion: Attention fusion based on SAX and LSTM for dangerous driving behavior detection.
Inf. Sci.
Jia Liu, Wei Huang, Hao Li, Shenggong Ji, Yajun Du, Tianrui Li
2023 J jnl
Urban Flow Pattern Mining Based on Multi-Source Heterogeneous Data Fusion and Knowledge Graph Embedding.
IEEE Trans. Knowl. Data Eng.
Jia Liu, Tianrui Li, Shenggong Ji, Peng Xie, Shengdong Du, Fei Teng, Junbo Zhang
2022 J jnl
A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data.
Inf. Fusion
Pengfei Zhang, Tianrui Li, Zhong Yuan, Chuan Luo, Guoqiang Wang, Jia Liu, Shengdong Du
2022 J jnl
Symbolic aggregate approximation based data fusion model for dangerous driving behavior detection.
Inf. Sci.
Jia Liu, Tianrui Li, Zhong Yuan, Wei Huang, Peng Xie, Qianqian Huang
2021 J jnl
An overview of air quality analysis by big data techniques: Monitoring, forecasting, and traceability.
Inf. Fusion
Wei Huang, Tianrui Li, Jia Liu, Peng Xie, Shengdong Du, Fei Teng
2021 J jnl
Attribute reduction methods in fuzzy rough set theory: An overview, comparative experiments, and new directions.
Appl. Soft Comput.
Zhong Yuan, Hongmei Chen, Peng Xie, Pengfei Zhang, Jia Liu, Tianrui Li
2021 J jnl
Fuzzy information entropy-based adaptive approach for hybrid feature outlier detection.
Fuzzy Sets Syst.
Zhong Yuan, Hongmei Chen, Tianrui Li, Jia Liu, Shu Wang
2020 J jnl
Detecting and Evolving Microblog Community Based on Structure and Gravity Cohesion.
IEEE Access
Jinrong Hu, Yajun Du, Jia Liu
2020 J jnl
Urban big data fusion based on deep learning: An overview.
Inf. Fusion
Jia Liu, Tianrui Li, Peng Xie, Shengdong Du, Fei Teng, Xin Yang
2020 J jnl
Urban flow prediction from spatiotemporal data using machine learning: A survey.
Inf. Fusion
Peng Xie, Tianrui Li, Jia Liu, Shengdong Du, Xin Yang, Junbo Zhang
2019 Misc conf
Network Energy: A New Energy of A Graph.
ISKE
Shengjiu Liu, Tianrui Li, Jie Zhu, Guoqiang Wang, Jia Liu, Peng Xie
2019 J jnl
Urban flows prediction from spatial-temporal data using machine learning: A survey.
CoRR
Peng Xie, Tianrui Li, Jia Liu, Shengdong Du, Xin Yang, Junbo Zhang
2018 J jnl
Social community evolution by combining gravitational relationship with community structure.
Intell. Data Anal.
Jia Liu, Yajun Du, Qing Li, Chun-Long Fu
2017 — conf
A CWTM Model of Topic Extraction for Short Text.
CCKS
Yunlan Diao, Yajun Du, Pan Xiao, Jia Liu
2017 — conf
Micro-blog User Community Detection by Focusing on Micro-blog Content and Community Structure.
CCKS
Jia Liu, Yajun Du, Ji-zhong Ren
2016 — conf
A Novel Approach of Identifying User Intents in Microblog.
ICIC (3)
Chenxing Li, Yajun Du, Jia Liu, Hao Zheng, SiDa Wang