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Chenghua Lin


    • AB24 3UE

    • 887 Citations
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    Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

    • 7 Similar Profiles
    Bearings (structural) Engineering & Materials Science
    Recommender systems Engineering & Materials Science
    Collaborative filtering Engineering & Materials Science
    Semantics Engineering & Materials Science
    Classifiers Engineering & Materials Science
    Factorization Engineering & Materials Science
    Application programming interfaces (API) Engineering & Materials Science
    Supervised learning Engineering & Materials Science

    Network Recent external collaboration on country level. Dive into details by clicking on the dots.

    Research Output 2008 2019

    Data-driven two-layer visual dictionary structure learning

    Yu, X., Yu, Z., Wu, L., Pang, W. & Lin, C., 8 Mar 2019, In : Journal of Electronic Imaging. 28, 2, 023006.

    Research output: Contribution to journalArticle


    ABDN at SemEval-2018 Task 10: Recognising Discriminative Attributes using Context Embeddings and WordNet

    Mao, R., Chen, G., Li, R. & Lin, C., 1 Jun 2018, The International Workshop on Semantic Evaluation: Proceedings of the Twelfth Workshop. New Orleans, USA: Association for Computational Linguistics (ACL), p. 1017–1021 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access

    A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act Classification

    Li, R., Lin, C., Collinson, M., Li, X. & Chen, G., 22 Oct 2018, (Submitted) ArXiv.

    Research output: Working paper

    Recurrent neural networks

    Assessing the Effectiveness of Affective Lexicons for Depression Classification

    Abd Yusof, N. F., Lin, C. & Guerin, F., 22 May 2018, Natural Language Processing and Information Systems: NLDB 2018. Silberztein, M., Atigui, F., Kornyshova, E., Métais, E. & Meziane, F. (eds.). Springer , p. 65-69 5 p. (Lecture Notes in Computer Science; vol. 10859).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access

    Incorporating Constraints into Matrix Factorization for Clothes Package Recommendation

    Wibowo, A. T., Siddharthan, A., Masthoff, J. F. M. & Lin, C., 2018, Proceedings of the 26th ACM Conference on User Modelling, Adaptation and Personalization (UMAP). Singapore: ACM, p. 111-119 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Collaborative filtering
    Recommender systems


    Bearings (structural)
    Knowledge engineering
    Information systems