Hongshu Chen

According to our database, Hongshu Chen authored at least 27 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Incorporating a Triple Graph Neural Network with Multiple Implicit Feedback for Social Recommendation.

Haorui Zhu, Fei Xiong, Hongshu Chen, Xi Xiong, Liang Wang

ACM Trans. Web, May, 2024

Community Preserving Social Recommendation with Cyclic Transfer Learning.

Xuelian Ni, Fei Xiong, Shirui Pan, Jia Wu, Liang Wang, Hongshu Chen

ACM Trans. Inf. Syst., May, 2024

Unraveling Scientific Evolutionary Paths: An Embedding-Based Topic Analysis.

Qianqian Jin, Hongshu Chen, Yi Zhang, Xuefeng Wang, Donghua Zhu

IEEE Trans. Engineering Management, 2024

How do network embeddedness and knowledge stock influence collaboration dynamics? Evidence from patents.

Qianqian Jin, Hongshu Chen, Xuefeng Wang, Fei Xiong

J. Informetrics, 2024

2023

How Embeddedness Affects the Evolution of Collaboration: The Role of Knowledge Stock and Social Interactions.

Hongshu Chen, Qianqian Jin, Xuefeng Wang

CoRR, 2023

Scientific Knowledge Combination in Networks: New Perspectives on Analyzing Knowledge Absorption and Integration.

Hongshu Chen, Jingkang Liu, Zikai Liu

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

2022

Exploring funding patterns with word embedding-enhanced organization-topic networks: a case study on big data.

Qianqian Jin, Hongshu Chen, Ximeng Wang, Tingting Ma, Fei Xiong

Scientometrics, 2022

Network dynamics in university-industry collaboration: a collaboration-knowledge dual-layer network perspective.

Hongshu Chen, Xinna Song, Qianqian Jin, Ximeng Wang

Scientometrics, 2022

Cyclic Transfer Learning for Recommender Systems with Heterogeneous Feedbacks.

Xuelian Ni, Fei Xiong, Yutian Hu, Shirui Pan, Hongshu Chen, Liang Wang

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).

Tingting Ma, Ruiping Cheng, Hongshu Chen, Xiao Zhou

Proceedings of the 3rd Workshop on Extraction and Evaluation of Knowledge Entities from Scientific Documents, 2022

2021

Identify Topic Relations in Scientific Literature Using Topic Modeling.

Hongshu Chen, Ximeng Wang, Shirui Pan, Fei Xiong

IEEE Trans. Engineering Management, 2021

Bayesian personalized ranking based on multiple-layer neighborhoods.

Yutian Hu, Fei Xiong, Shirui Pan, Xi Xiong, Liang Wang, Hongshu Chen

Inf. Sci., 2021

Selection strategy in graph-based spreading dynamics with limited capacity.

Fei Xiong, Yu Zheng, Weiping Ding, Hao Wang, Xinyi Wang, Hongshu Chen

Future Gener. Comput. Syst., 2021

Collaboration and Knowledge Networks: a Framework on Analyzing Evolution of University-industry Collaborative Innovation.

Hongshu Chen, Xinna Song

Proceedings of the 1st Workshop on AI + Informetrics (AII2021) co-located with the iConference 2021, 2021

2020

Exploiting Implicit Influence From Information Propagation for Social Recommendation.

Fei Xiong, Weihan Shen, Hongshu Chen, Shirui Pan, Ximeng Wang, Zheng Yan

IEEE Trans. Cybern., 2020

Measuring distance-based semantic similarity using meronymy and hyponymy relations.

Yuanyuan Cai, Shirui Pan, Ximeng Wang, Hongshu Chen, Xiaoyan Cai, Min Zuo

Neural Comput. Appl., 2020

Movie collaborative filtering with multiplex implicit feedbacks.

Yutian Hu, Fei Xiong, Dongyuan Lu, Ximeng Wang, Xi Xiong, Hongshu Chen

Neurocomputing, 2020

Mining Heterogeneous Influence and Indirect Trust for Recommendation.

Zhaoyi Li, Fei Xiong, Ximeng Wang, Zhe Guan, Hongshu Chen

IEEE Access, 2020

2019

Topological Influence-Aware Recommendation on Social Networks.

Zhaoyi Li, Fei Xiong, Ximeng Wang, Hongshu Chen, Xi Xiong

Complex., 2019

Research Topic Recommendation Based on Latent Dirichlet Allocation.

Hongshu Chen, Xuefeng Wang, Yahui Song, Ximeng Wang, Xiang Wang, Miaomiao Yu

Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

2018

Does deep learning help topic extraction? A kernel k-means clustering method with word embedding.

Yi Zhang, Jie Lu, Feng Liu, Qian Liu, Alan L. Porter, Hongshu Chen, Guangquan Zhang

J. Informetrics, 2018

2017

Detecting and predicting the topic change of Knowledge-based Systems: A topic-based bibliometric analysis from 1991 to 2016.

Yi Zhang, Hongshu Chen, Jie Lu, Guangquan Zhang

Knowl. Based Syst., 2017

Mixed Similarity Diffusion for Recommendation on Bipartite Networks.

Ximeng Wang, Yun Liu, Guangquan Zhang, Yi Zhang, Hongshu Chen, Jie Lu

IEEE Access, 2017

2016

Topic-based analysis for technology intelligence

Hongshu Chen

PhD thesis, 2016

2015

A patent time series processing component for technology intelligence by trend identification functionality.

Hongshu Chen, Guangquan Zhang, Donghua Zhu, Jie Lu

Neural Comput. Appl., 2015

A fuzzy approach for measuring development of topics in patents using Latent Dirichlet Allocation.

Hongshu Chen, Guangquan Zhang, Jie Lu, Donghua Zhu

Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

2013

A Time-Series-Based Technology Intelligence Framework by Trend Prediction Functionality.

Hongshu Chen, Guangquan Zhang, Jie Lu

Proceedings of the IEEE International Conference on Systems, 2013