Multipath passive data acknowledgement on-demand multicast protocol. - Shaobin Cai; Nianmin Yao; Nianbin Wang; Wenbin Yao; Guochang Gu (Comput. Commun., 2006)

Automatic Searching Method Based on Domain Taxonomy Ontology. - Yangyao Zhao; Nianbin Wang; Jie Liu (CIS (2), 2008)

A CS Grammar Based Query Form Information Extraction Method. - Fujiang Liu; Shichun Deng; Nianbin Wang; Xinping Li (ISCSCT (1), 2008)

Complex Synonymous Matchings Based on Correlation Mining. - Jie Liu; Nianbin Wang; Fujiang Liu; Yangyao Zhao (IESA, 2009)

Taxonomy Ontology Searching Method Based on Fuzzy Clustering. - Yangyao Zhao; Shengchun Deng; Nianbin Wang (IESA, 2009)

Keyword Query Expansion Paradigm Based on Recommendation and Interpretation in Relational Databases. - Yingqi Wang; Nianbin Wang; Lianke Zhou (Sci. Program., 2017)

A Method of Small Sample Reliability Assessment Based on Bayesian Theory. - Hongbin Wang 001; Nianbin Wang; Lianke Zhou; Zhenbei Gu; Ruowen Dang (ICCCS (1), 2018)

Unsupervised Domain Adaptation by Mapped Correlation Alignment. - Yun Zhang 009; Nianbin Wang; Shaobin Cai; Lei Song (IEEE Access, 2018)

An anonymous data reporting strategy with ensuring incentives for mobile crowd-sensing. - Yang Li 122; Yunlong Zhao 001; Ishak Serrat; Hongtao Song; Nianbin Wang; Nianmin Yao (J. Ambient Intell. Humaniz. Comput., 2018)

EHP: Entity Hyperplane Projection for Knowledge Graph Embedding with Entity Descriptions. - Shuai Qin; Nianbin Wang; Hongbin Wang 001; Lianke Zhou; Haomin Zhan (ComComAP, 2019)

Summarizing database schema based on graph partition. - Yingqi Wang; Lianke Zhou; Nianbin Wang (Multim. Tools Appl., 2019)

Reducing Wrong Labels for Distantly Supervised Relation Extraction With Reinforcement Learning. - Tiantian Chen; Nianbin Wang; Ming He 002; Liu Sun (IEEE Access, 2020)

An Improved Deep Canonical Correlation Fusion Method for Underwater Multisource Data. - Kuiyong Song; Nianbin Wang; Yun Zhang 009 (IEEE Access, 2020)

A Similarity Measure in Formal Concept Analysis Containing General Semantic Information and Domain Information. - Fugang Wang; Nianbin Wang; Shaobin Cai; Wulin Zhang (IEEE Access, 2020)

A Metric Learning-Based Univariate Time Series Classification Method. - Kuiyong Song; Nianbin Wang; Hongbin Wang 001 (Inf., 2020)

Adversarial sliced Wasserstein domain adaptation networks. - Yun Zhang 009; Nianbin Wang; Shaobin Cai (Image Vis. Comput., 2020)

Anonymous Data Reporting Strategy with Dynamic Incentive Mechanism for Participatory Sensing. - Yang Li 122; Hongtao Song; Yunlong Zhao 001; Nianmin Yao; Nianbin Wang (Secur. Commun. Networks, 2021)

Distant Supervision for Relation Extraction with Sentence Selection and Interaction Representation. - Tiantian Chen; Nianbin Wang; Hongbin Wang 001; Haomin Zhan (Wirel. Commun. Mob. Comput., 2021)

Sample extraction and expansion method with feature reconstruction and deformation information. - Zhengchao Zhang; Hongbin Wang 001; Nianbin Wang (Appl. Intell., 2022)

Joint entity and relation extraction with position-aware attention and relation embedding. - Tiantian Chen; Lianke Zhou; Nianbin Wang; Xirui Chen (Appl. Soft Comput., 2022)

An effective SPMV based on block strategy and hybrid compression on GPU. - Huanyu Cui; Nianbin Wang; Yuhua Wang; Qilong Han; Yuezhu Xu (J. Supercomput., 2022)

Document-level relation extraction with multi-layer heterogeneous graph attention network. - Nianbin Wang; Tiantian Chen; Chaoqi Ren; Hongbin Wang 001 (Eng. Appl. Artif. Intell., 2023)

Dynamically constructing semantic topic hierarchy through formal concept analysis. - Fugang Wang; Nianbin Wang; Shaobin Cai; Wulin Zhang (Multim. Tools Appl., 2023)

Improving autoencoder by mutual information maximization and shuffle attention for novelty detection. - Liu Sun; Ming He 002; Nianbin Wang; Hongbin Wang 001 (Appl. Intell., 2023)

An adaptive approach for compression format based on bagging algorithm. - Huanyu Cui; Qilong Han; Nianbin Wang; Ye Wang 021 (Int. J. Parallel Emergent Distributed Syst., 2023)

Uncertainty-aware hierarchical reinforcement learning for long-horizon tasks. - Wenning Hu; Hongbin Wang 001; Ming He 002; Nianbin Wang (Appl. Intell., 2023)

A Quality Assessment Method of Few-Shot Datasets Based on the Fusion of Quantity and Quality. - Zhengchao Zhang; Lianke Zhou; Junzheng Sun; Nianbin Wang (PRICAI (1), 2024)

A two-stage parallel method on GPU based on hybrid-compression-format for diagonal matrix. - Huanyu Cui; Nianbin Wang; Qilong Han; Ye Wang 021; Jiahang Li (Concurr. Comput. Pract. Exp., 2024)

FedDW: Distilling Weights through Consistency Optimization in Heterogeneous Federated Learning. - Jiayu Liu; Yong Wang; Nianbin Wang; Jing Yang; Xiaohui Tao (CoRR, 2024)

Invariant Representations Learning with Future Dynamics. - Wenning Hu; Ming He 002; Xirui Chen; Nianbin Wang (Eng. Appl. Artif. Intell., 2024)

The meta-learning method for the ensemble model based on situational meta-task. - Zhengchao Zhang; Lianke Zhou; Yuyang Wu; Nianbin Wang (Frontiers Neurorobotics, 2024)

SPMSD: An Partitioning-Strategy for Parallel General Sparse Matrix-Matrix Multiplication on GPU. - Huanyu Cui; Nianbin Wang; Qilong Han; Ye Wang 021 (Parallel Process. Lett., 2024)

Boosting Causal Structure Learning: An Asymmetric Exponential Modulation Gaussian-Based Adaptive Sample Reweighting Framework. - Wei Xiao; Hongbin Wang 001; Ming He 002; Nianbin Wang (AAAI, 2025)

Robust augmentation-based contrastive clustering with negative data mining. - Liu Sun; Ming He 002; Shuai Qin; Nianbin Wang (Eng. Appl. Artif. Intell., 2025)

Topic Detection in Domain Text Dataset: An FCA-Based Approach. - Fugang Wang; Nianbin Wang; Shaobin Cai; Hongbin Wang 001 (J. Circuits Syst. Comput., 2025)