Publications of Dr. Roy Li

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Journal Articles

[J12] Chen, X., Xie, H., Li, Z., Zhang, D., Cheng, G., Wang, F. L., Dai, H. N., & Li, Q. (2023). Leveraging deep learning for automatic literature screening in intelligent bibliometrics. International Journal of Machine Learning and Cybernetics, 14(4), 1483-1525. [SCI, JCR-Q1, Impact factor = 5.6]

[J11] Xu, L., Xie, H., Li, Z., Wang, F. L., Wang, W., & Li, Q. (2023). Contrastive learning models for sentence representations. ACM Transactions on Intelligent Systems and Technology, 14(4), 1-34. [SCI, JCR-Q1, Impact factor = 10.5]

[J10] Chen, X., Li, Q., Li, Z.^*, Xie, H., Wang, F. L., & Wang, J. (2022). A reinforcement learning based two-stage model for emotion cause pair extraction. IEEE Transactions on Affective Computing, 14(3), 1779-1790. [SCI, JCR-Q1, Impact factor = 11.2]

[J09] Li, Z., Li, X., Xie, H., Wang, F. L., Leng, M., Li, Q., & Tao, X. (2023). A novel dropout mechanism with label extension schema toward text emotion classification. Information Processing & Management, 60(2), 103173. [SCI, JCR-Q1, Impact factor = 8.6]

[J08] Chen, X., Xie, H., Li, Z., Cheng, G., Leng, M., & Wang, F. L. (2023). Information fusion and artificial intelligence for smart healthcare: a bibliometric study. Information Processing & Management, 60(1), 103113. [SCI, JCR-Q1, Impact factor = 8.6]

[J07] Zhang, H., Li, Z.^*, Xie, H., Lau, R. Y., Cheng, G., Li, Q., & Zhang, D. (2022). Leveraging statistical information in fine-grained financial sentiment analysis. World Wide Web, 25(2), 513-531. [SCI, JCR-Q1, Impact factor = 3.7]

[J06] Chen, X., Xie, H., Cheng, G., & Li, Z. (2022). A decade of sentic computing: topic modeling and bibliometric analysis. Cognitive Computation, 14(1), 24-47. [SCI, JCR-Q1, Impact factor = 5.4]

[J05] Li, Z., Chen, X., Xie, H., Li, Q., Tao, X., & Cheng, G. (2021). EmoChannel-SA: exploring emotional dependency towards classification task with self-attention mechanism. World Wide Web, 24, 2049-2070. [SCI, JCR-Q1, Impact factor = 3.7]

[J04] Chen, X., Xie, H., Li, Z., & Cheng, G. (2021). Topic analysis and development in knowledge graph research: A bibliometric review on three decades. Neurocomputing, 461, 497-515. [SCI, JCR-Q1, Impact factor = 6.0]

[J03] Chen, X., Xie, H., Wang, J., Li, Z., Cheng, G., Wong, M. L., & Wang, F. L. (2021). A bibliometric review of soft computing for recommender systems and sentiment analysis. IEEE Transactions on Artificial Intelligence, 3(5), 642-656. [Scopus, CiteScore = 7.0, a new IEEE Transactions]

[J02] Li, Z., Xie, H., Cheng, G., & Li, Q. (2021). Word-level emotion distribution with two schemas for short text emotion classification. Knowledge-Based Systems, 227, 107163. [SCI, JCR-Q1, Impact factor = 8.8]

[J01] Li, Z., Xie, H., Xu, G., Li, Q., Leng, M., & Zhou, C. (2021). Towards purchase prediction: A transaction-based setting and a graph-based method leveraging price information. Pattern Recognition, 113, 107824. [SCI, JCR-Q1, Impact factor = 8.0]

Conference Proceedings

[C12] Han, W., Li, Z.^*, Xie, H., Hung, K., & Wang, M. (2023). Beyond scores: a novel method for predicting student performance based on rank and positional embedding. In 2023 10th International Conference on Behavioural and Social Computing (BESC) (pp. 1-6). IEEE.

[C11] Jiang, Y., Li, F., Li, Z.^*, Liu, Z., & Wang, Z. (2023). Enhancing continuous sign language recognition with self-attention and MediaPipe Holistic. In 2023 8th International Conference on Instrumentation, Control, and Automation (ICA) (pp. 97-102). IEEE. [Outcome of an undergraduate final-year project]

[C10] Wang, Z., Liu, Z., Li, Z.^*, Jiang, Y., & Li, F. (2023). American sign language alphabet recognition with YOLOv5 enhanced by MediaPipe Hands. In 2023 8th International Conference on Instrumentation, Control, and Automation (ICA) (pp. 103-108). IEEE. [Outcome of an undergraduate final-year project]

[C09] Li, X., Li, Z.^*, Luo, X., Xie, H., Zhao, Y., Wang, F. L., & Li, Q. (2023). Recurrent attention networks for long-text modeling. In Findings of the Association for Computational Linguistics: ACL 2023 (pp. 3006-3019). ACL. [CCF-A]

[C08] Li, Z., Xie, H., Wang, F. L., Wang, W., & Chow, M. K. (2022). Identify students at risk based on behavioural patterns in continuous assessment. In 2022 9th International Conference on Behavioural and Social Computing (BESC) (pp. 1-6). IEEE. [Best Paper Runner-up Awards]

[C07] Li, Z., Xie, H., Wang, M., Wu, B., & Hu, Y. (2022). Automatic coding of collective creativity dialogues in collaborative problem solving based on deep learning models. In International Conference on Blended Learning (pp. 123-134). Cham: Springer International Publishing.

[C06] Li, Z., Li, X., Xie, H., Li, Q., & Tao, X. (2021). A label extension schema for improved text emotion classification. In IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (pp. 32-39).

[C05] Li, X., Li, Z.^*, Xie, H., & Li, Q. (2021). Merging statistical feature via adaptive gate for improved text classification. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, No. 15, pp. 13288-13296). [CCF-A]

[C04] Li, Z.,, Chen, X., Xie, H., Li, Q., & Tao, X. (2020). Emochannelattn: Exploring emotional construction towards multi-class emotion classification. In 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) (pp. 242-249). IEEE. [Best Paper Awards]

[C03] Li, Z., Xie, H., Zhao, Y., & Li, Q. (2019). Incorporating latent space correlation coefficients to collaborative filtering. In 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW) (pp. 155-160). IEEE.

[C02] Ren, D., Cai, Y., Chan, W. H., & Li, Z. (2018). A clustering based adaptive sequence-to-sequence model for dialogue systems. In 2018 IEEE International Conference on Big Data and Smart Computing (BigComp) (pp. 775-781). IEEE.

[C01] Li, Z., Zou, D., Xie, H., Wang, F. L., & Chang, M. (2018). Enhancing information literacy in Hong Kong higher education through game-based learning. In The 22nd Global Chinese Conference on Computers in Education: Conference Proceedings (pp. 595-598). South China Normal University.

Preprints

[P02] Li, Z., Li, X., Liu, Y., Xie, H., Li, J., Wang, F. L., Li, Q. & Zhong, X. (2023). Label supervised LLaMA finetuning. arXiv preprint arXiv:2310.01208.

[P01] Li, X., Li, Z.^*, Zhao, Y., Xie, H., & Li, Q. (2020). Incorporating effective global information via adaptive gate attention for text classification. arXiv preprint arXiv:2002.09673.