Hongshu Chen

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 25

Top Topics

Collaborative Filtering

Personalized Ranking

Latent Dirichlet Allocation

Social Recommendation

Top Venues

IEEE Trans. Engineering Management

Neural Comput. Appl.

J. Informetrics

Publications

Haorui Zhu, Fei Xiong, Hongshu Chen, Xi Xiong, Liang Wang
Incorporating a Triple Graph Neural Network with Multiple Implicit Feedback for Social Recommendation. ACM Trans. Web 18 (2) (2024)
Qianqian Jin, Hongshu Chen, Xuefeng Wang, Fei Xiong
How do network embeddedness and knowledge stock influence collaboration dynamics? Evidence from patents. J. Informetrics 18 (4) (2024)
Xuelian Ni, Fei Xiong, Shirui Pan, Jia Wu, Liang Wang, Hongshu Chen
Community Preserving Social Recommendation with Cyclic Transfer Learning. ACM Trans. Inf. Syst. 42 (3) (2024)
Qianqian Jin, Hongshu Chen, Yi Zhang, Xuefeng Wang, Donghua Zhu
Unraveling Scientific Evolutionary Paths: An Embedding-Based Topic Analysis. IEEE Trans. Engineering Management 71 (2024)
Hongshu Chen, Qianqian Jin, Xuefeng Wang
How Embeddedness Affects the Evolution of Collaboration: The Role of Knowledge Stock and Social Interactions. CoRR (2023)
Hongshu Chen, Jingkang Liu, Zikai Liu
Scientific Knowledge Combination in Networks: New Perspectives on Analyzing Knowledge Absorption and Integration. EEKE/AII@JCDL (2023)
Xuelian Ni, Fei Xiong, Yutian Hu, Shirui Pan, Hongshu Chen, Liang Wang
Cyclic Transfer Learning for Recommender Systems with Heterogeneous Feedbacks. SDM (2022)
Hongshu Chen, Xinna Song, Qianqian Jin, Ximeng Wang
Network dynamics in university-industry collaboration: a collaboration-knowledge dual-layer network perspective. Scientometrics 127 (11) (2022)
Tingting Ma, Ruiping Cheng, Hongshu Chen, Xiao Zhou
A Hybrid Approach to Identify and Forecast Technological Opportunities Based on Topic Modeling and Sentiment Analysis (short paper). EEKE@JCDL (2022)
Qianqian Jin, Hongshu Chen, Ximeng Wang, Tingting Ma, Fei Xiong
Exploring funding patterns with word embedding-enhanced organization-topic networks: a case study on big data. Scientometrics 127 (9) (2022)
Hongshu Chen, Ximeng Wang, Shirui Pan, Fei Xiong
Identify Topic Relations in Scientific Literature Using Topic Modeling. IEEE Trans. Engineering Management 68 (5) (2021)
Fei Xiong, Yu Zheng, Weiping Ding, Hao Wang, Xinyi Wang, Hongshu Chen
Selection strategy in graph-based spreading dynamics with limited capacity. Future Gener. Comput. Syst. 114 (2021)
Yutian Hu, Fei Xiong, Shirui Pan, Xi Xiong, Liang Wang, Hongshu Chen
Bayesian personalized ranking based on multiple-layer neighborhoods. Inf. Sci. 542 (2021)
Hongshu Chen, Xinna Song
Collaboration and Knowledge Networks: a Framework on Analyzing Evolution of University-industry Collaborative Innovation. AII@iConference (2021)
Yutian Hu, Fei Xiong, Dongyuan Lu, Ximeng Wang, Xi Xiong, Hongshu Chen
Movie collaborative filtering with multiplex implicit feedbacks. Neurocomputing 398 (2020)
Zhaoyi Li, Fei Xiong, Ximeng Wang, Zhe Guan, Hongshu Chen
Mining Heterogeneous Influence and Indirect Trust for Recommendation. IEEE Access 8 (2020)
Fei Xiong, Weihan Shen, Hongshu Chen, Shirui Pan, Ximeng Wang, Zheng Yan
Exploiting Implicit Influence From Information Propagation for Social Recommendation. IEEE Trans. Cybern. 50 (10) (2020)
Yuanyuan Cai, Shirui Pan, Ximeng Wang, Hongshu Chen, Xiaoyan Cai, Min Zuo
Measuring distance-based semantic similarity using meronymy and hyponymy relations. Neural Comput. Appl. 32 (8) (2020)
Zhaoyi Li, Fei Xiong, Ximeng Wang, Hongshu Chen, Xi Xiong
Topological Influence-Aware Recommendation on Social Networks. Complex. 2019 (2019)
Hongshu Chen, Xuefeng Wang, Yahui Song, Ximeng Wang, Xiang Wang, Miaomiao Yu
Research Topic Recommendation Based on Latent Dirichlet Allocation. ISKE (2019)
Yi Zhang, Jie Lu, Feng Liu, Qian Liu, Alan L. Porter, Hongshu Chen, Guangquan Zhang
Does deep learning help topic extraction? A kernel k-means clustering method with word embedding. J. Informetrics 12 (4) (2018)
Ximeng Wang, Yun Liu, Guangquan Zhang, Yi Zhang, Hongshu Chen, Jie Lu
Mixed Similarity Diffusion for Recommendation on Bipartite Networks. IEEE Access 5 (2017)
Yi Zhang, Hongshu Chen, Jie Lu, Guangquan Zhang
Detecting and predicting the topic change of Knowledge-based Systems: A topic-based bibliometric analysis from 1991 to 2016. Knowl. Based Syst. 133 (2017)
Hongshu Chen, Guangquan Zhang, Jie Lu, Donghua Zhu
A fuzzy approach for measuring development of topics in patents using Latent Dirichlet Allocation. FUZZ-IEEE (2015)
Hongshu Chen, Guangquan Zhang, Donghua Zhu, Jie Lu
A patent time series processing component for technology intelligence by trend identification functionality. Neural Comput. Appl. 26 (2) (2015)
Hongshu Chen, Guangquan Zhang, Jie Lu
A Time-Series-Based Technology Intelligence Framework by Trend Prediction Functionality. SMC (2013)