Nonlinear Matrix Factorization With Cognitive Opinion Formation for Social Recommendation.
IEEE Trans. Syst. Man Cybern. Syst., March, 2025
SRPCNet: Self-Reinforcing Perception Coordination Network for Seamless Steel Pipes Internal Surface Defect Detection.
IEEE Trans. Ind. Informatics, January, 2025
Incorporating a Triple Graph Neural Network with Multiple Implicit Feedback for Social Recommendation.
ACM Trans. Web, May, 2024
Community Preserving Social Recommendation with Cyclic Transfer Learning.
ACM Trans. Inf. Syst., May, 2024
Unraveling Scientific Evolutionary Paths: An Embedding-Based Topic Analysis.
IEEE Trans. Engineering Management, 2024
How do network embeddedness and knowledge stock influence collaboration dynamics? Evidence from patents.
J. Informetrics, 2024
How Embeddedness Affects the Evolution of Collaboration: The Role of Knowledge Stock and Social Interactions.
CoRR, 2023
Scientific Knowledge Combination in Networks: New Perspectives on Analyzing Knowledge Absorption and Integration.
Proceedings of Joint Workshop of the 4th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2023) and the 3rd AI + Informetrics (AII2023) co-located with the JCDL 2023, 2023
Exploring funding patterns with word embedding-enhanced organization-topic networks: a case study on big data.
Scientometrics, 2022
Network dynamics in university-industry collaboration: a collaboration-knowledge dual-layer network perspective.
Scientometrics, 2022
Cyclic Transfer Learning for Recommender Systems with Heterogeneous Feedbacks.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022
A Hybrid Approach to Identify and Forecast Technological Opportunities Based on Topic Modeling and Sentiment Analysis (short paper).
Proceedings of the 3rd Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents, 2022
Identify Topic Relations in Scientific Literature Using Topic Modeling.
IEEE Trans. Engineering Management, 2021
Bayesian personalized ranking based on multiple-layer neighborhoods.
Inf. Sci., 2021
Selection strategy in graph-based spreading dynamics with limited capacity.
Future Gener. Comput. Syst., 2021
Collaboration and Knowledge Networks: a Framework on Analyzing Evolution of University-industry Collaborative Innovation.
Proceedings of the 1st Workshop on AI + Informetrics (AII2021) co-located with the iConference 2021, 2021
Exploiting Implicit Influence From Information Propagation for Social Recommendation.
IEEE Trans. Cybern., 2020
Measuring distance-based semantic similarity using meronymy and hyponymy relations.
Neural Comput. Appl., 2020
Movie collaborative filtering with multiplex implicit feedbacks.
Neurocomputing, 2020
Mining Heterogeneous Influence and Indirect Trust for Recommendation.
IEEE Access, 2020
Topological Influence-Aware Recommendation on Social Networks.
Complex., 2019
Research Topic Recommendation Based on Latent Dirichlet Allocation.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019
Does deep learning help topic extraction? A kernel k-means clustering method with word embedding.
J. Informetrics, 2018
Detecting and predicting the topic change of Knowledge-based Systems: A topic-based bibliometric analysis from 1991 to 2016.
Knowl. Based Syst., 2017
Mixed Similarity Diffusion for Recommendation on Bipartite Networks.
IEEE Access, 2017
Topic-based analysis for technology intelligence
PhD thesis, 2016
A patent time series processing component for technology intelligence by trend identification functionality.
Neural Comput. Appl., 2015
A fuzzy approach for measuring development of topics in patents using Latent Dirichlet Allocation.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
A Time-Series-Based Technology Intelligence Framework by Trend Prediction Functionality.
Proceedings of the IEEE International Conference on Systems, 2013