● ● ● Research

Emotion, explanation, and human-centred AI

2020-

Transforming emotion from a flat prediction label into an interpretable human signal, and using that understanding to build more responsive systems for learning, collaboration, and decision support.

Li, Y., Chan, J., Peko, G., & Sundaram, D. (2024). An explanation framework and method for AI-based text emotion analysis and visualisation. Decision Support Systems, 178, 114121.

Li, Y., Chan, J., Peko, G., & Sundaram, D. (2023). Mixed emotion extraction analysis and visualisation of social media text. Data & Knowledge Engineering, 148, 102220.

Li, Y., Chan, J., Peko, G., Sundaram, D. (2024). Towards resource inequities in catching the “dark side” of social media: A hateful meme classification framework for low-resource scenarios. The 57th International Hawaii Conference on System Sciences

Li, Y., Chan, J., Peko, G., Sundaram, D. (2022). A Personalized Harmful Information Detection System Based on User Portraits". Americas' Conference on Information Systems

Li, Y., Chan, J., Peko, G., Sundaram, D. (2021). Multilingual Sentiment Analysis in Social Media: Catch the Emotion Behind Different Expressions. The Pacific Asia Conference on Information Systems

Chan, J., Li, Y. (2024). Enhancing Team Diversity with Generative AI: A Novel Project Management Framework. IEEE 48th Annual Computers, Software, and Applications Conference

Chan, J., Li, Y. (2025) Enhancing Higher Education with Generative AI: A Multimodal Approach for Personalised Learning. The 6th International Conference on Advances in Education and Information Technology

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Prediction, reasoning, and algorithmic choice

2019-

Building machines that do more than recognise patterns, machines that learn from uncertainty, construct reasoning paths, and turn complex information into consequential decisions.

Li, Y., Ni, P., Chang, V. (2019) Application of Deep Reinforcement Learning in Stock Trading Strategies and Stock Fore- casting. Computing

Chan, J., Li, Y. (2025) Enhancing Higher Education with Generative AI: A Multimodal Approach for Personalised Learning. The 6th International Conference on Advances in Education and Information Technology

Li, Y., Ni, P., Li, G., Chang, V. Effective Piecewise CNN with Attention Mechanism for Distant Supervision on Relation Extraction Task. The Fifth International Conference on Complexity, Future Information Systems and Risk 2020

Li, Y., Ni, P., Peng, J., Zhu, J., Dai, Z., Li, G. & Bai, X. (2019) A Joint Model of Clinical Domain Classification and Slot Filling Based on RCNN and BiGRU-CRF. 2019 IEEE International Conference on Big Data

Chung, C., Hanchard, S., Li, Y., & Hong, Y. (2025). Designing with, Not For: Addressing AI Bias through Community-Led Co-Design in Heart Failure Care.

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Language, concealment, and unequal digital harm

2020-

Investigating how machines interpret language, and how meaning can be disguised, weaponised, or experienced differently across people and communities.

Wang, YJ., Chen, S., Cai, H., Wei, W., Yan, K., Sun, Z., Qin, H., Li, Y., Cai, X. (2022) A GlobalPointer based Robust Approach for Information Extraction from Dialog Transcripts. Empirical Methods in Natural Language Processing - Towards Semi-Supervised and Reinforced Task-Oriented Dialog Systems.

Wang, YJ., Li, Y., Qin, H., Guan, Y., Chen, S. (2022) A Novel DeBERTa-based Model for Financial Question Answering Task. North American Chapter of the Association for Computational Linguistics

Wang, YJ., Guan, Y., Li, Y., Qin, H., Chen, S., Shan, S., Yang, X., Shi, J., Wang, S (2022). A Multi-model Fusion Approach for Product Classification and Product Substitute Identification on Shopping Queries Data. Knowledge Discovery and Data Mining competition

Li, Y., Xia, M., & Wang, Y. (2021). Task 1-Argumentative Text Understanding for AI Debater (AIDebater). CCF International Conference on Natural Language Processing and Chinese Computing

Chan, J., Li, Y. (2024). Unveiling disguised toxicity: A novel pre-processing module for enhanced content moderation. MethodsX

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