Cluster-level Social Emotion Classification Across Domains

Research output

Research output per year 2022 2023 2023

• 11 Journal Article (refereed)
• 1 Conference paper (refereed)

Research output per year

Research output per year

Search results

• 2023

  A novel dropout mechanism with label extension schema toward text emotion classification

  LI, Z., LI, X., XIE, H., WANG, F. L., LENG, M., LI, Q. & TAO, X., 1 Mar 2023, In: Information Processing and Management. 60, 2, 103173.

  Research output: Journal Publications › Journal Article (refereed) › peer-review

  Open Access

  • Simulation Mode 100%
  • Classification Task 66%
  • Emotion Category 66%
  • Schema Extension 66%
  • Objective Function 33%
  12 Citations (Scopus)

• A Transformer–Convolution Model for Enhanced Session-Based Recommendation

  WANG, J., XIE, H., WANG, F. L. & LEE, L.-K., 28 Apr 2023, In: Neurocomputing. 531, p. 21-33 13 p.

  Research output: Journal Publications › Journal Article (refereed) › peer-review

  • Simulation Mode 100%
  • Convolutional Neural Network 50%
  • Long Distance Dependency 50%
  • Real World 25%
  • Good Performance 25%
  7 Citations (Scopus)

• Blockchain-Enhanced Smart Contract for Cost-Effective Insurance Claims Processing

  WANG, Q., LAU, R. Y. K., SI, Y. W., XIE, H. & TAO, X., 2023, In: Journal of Global Information Management. 31, 7, p. 1-21 21 p.

  Research output: Journal Publications › Journal Article (refereed) › peer-review

  Open Access

  • Contract Law 100%
  • Costs 100%
  • Authors 40%
  • Design 40%
  • Economic and Social Development 20%
  4 Citations (Scopus)

• DeepEmotionNet : Emotion mining for corporate performance analysis and prediction

  WANG, Q., SU, T., LAU, R. Y. K. & XIE, H., May 2023, In: Information Processing and Management. 60, 3, 103151.

  Research output: Journal Publications › Journal Article (refereed) › peer-review

  • Deep Learning 100%
  • Application 100%
  • Emotion Detection 66%
  • Social Media 66%
  • Real World 33%
  14 Citations (Scopus)

• Improving text classification via a soft dynamical label strategy

  WANG, J., XIE, H., WANG, F. L. & LEE, L.-K., Jul 2023, In: International Journal of Machine Learning and Cybernetics. 14, 7, p. 2395-2405 11 p.

  Research output: Journal Publications › Journal Article (refereed) › peer-review

  • Text Classification 100%
  • Experimental Result 66%
  • Classification Task 66%
  • Large Data Set 33%
  • Deep Learning 33%
  3 Citations (Scopus)

• Jointly modeling intra- and inter-session dependencies with graph neural networks for session-based recommendations

  WANG, J., XIE, H., WANG, F. L., LEE, L.-K. & WEI, M., 1 Mar 2023, In: Information Processing and Management. 60, 2, 103209.

  Research output: Journal Publications › Journal Article (refereed) › peer-review

  Open Access

  • Graph Neural Network 100%
  • Representation 50%
  • Real World 25%
  • Nearest Neighbour 25%
  • Simulation Mode 25%
  20 Citations (Scopus)

• Leveraging deep learning for automatic literature screening in intelligent bibliometrics

  CHEN, X., XIE, H., LI, Z., ZHANG, D., CHENG, G., WANG, F. L., DAI, H.-N. & LI, Q., Apr 2023, In: International Journal of Machine Learning and Cybernetics. 14, 4, p. 1483-1525 43 p.

  Research output: Journal Publications › Journal Article (refereed) › peer-review

  • Deep Learning 100%
  • Learning Ability 25%
  • Statistical Information 25%
  • Big Data Analytics 25%
  • Training Dataset 25%
  3 Citations (Scopus)

• Semi-supervised Sentiment Classification and Emotion Distribution Learning Across Domains

  CHEN, Y., RAO, Y., CHEN, S., LEI, Z., XIE, H., LAU, R. Y. K. & YIN, J., Jun 2023, In: ACM Transactions on Knowledge Discovery from Data. 17, 5, 30 p., 74.

  Research output: Journal Publications › Journal Article (refereed) › peer-review

  • Domains 100%
  • Factorization 60%
  • Sentiment Classification 60%
  • Simulation Mode 40%
  • Real World 20%

• Structural Identity Representation Learning for Blockchain-Enabled Metaverse Based on Complex Network Analysis

  TAO, B., DAI, H.-N., XIE, H. & WANG, F. L., Oct 2023, In: IEEE Transactions on Computational Social Systems. 10, 5, p. 2214-2225 12 p.

  Research output: Journal Publications › Journal Article (refereed) › peer-review

  Open Access

  • Blockchain 100%
  • Vectors 100%
  • Networks 100%
  • Complex Network 66%
  • Representation Learning 66%
  7 Citations (Scopus)

• Weighted cluster-level social emotion classification across domains

  WANG, F. L., ZHAO, Z., CHENG, G., RAO, Y. & XIE, H., Jul 2023, In: International Journal of Machine Learning and Cybernetics. 14, 7, p. 2385-2394 10 p.

  Research output: Journal Publications › Journal Article (refereed) › peer-review

  • Domains 100%
  • Classification 42%
  • Training Data 28%
  • Individual User 14%
  • Common Pattern 14%
  3 Citations (Scopus)
• 2022

  Identify Students at Risk Based on Behavioural Patterns in Continuous Assessment

  LI, Z., XIE, H., WANG, F. L., WANG, W. & CHOW, M.-K., 28 Dec 2022, Proceedings of the 2022 IEEE International Conference on Behavioural and Social Computing, BESC 2022. Institute of Electrical and Electronics Engineers Inc., (Proceedings of the 2022 IEEE International Conference on Behavioural and Social Computing, BESC 2022).

  Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Referred Conference Paper › peer-review

  • Behavioral Pattern 100%
  • Real World 50%
  • Teaching and Learning 50%
  • Machine Learning 50%
  • e-learning Systems 50%
  1 Citation (Scopus)

• Understanding Learners’ Perception of MOOCs Based on Review Data Analysis Using Deep Learning and Sentiment Analysis

  CHEN, X., WANG, F. L., CHENG, G., CHOW, M.-K. & XIE, H., 25 Jul 2022, In: Future Internet. 14, 8, 17 p., 218.

  Research output: Journal Publications › Journal Article (refereed) › peer-review

  Open Access

  • Design 100%
  • Learning Experiences 66%
  • Deep Learning 66%
  • Sentiment Analysis 66%
  • Learning Resource 33%
  11 Citations (Scopus)