Publications by Tianlin Zhang

Papers by Tianlin Zhang at NaCTeM, newest first. All publications

2025 | 2024 | 2023 | 2022 | 2021

22 publications

2025

Yang, K, Leng, Y., Zhang, X., Zhang, T., Thompson, P., Keavney, B., Tomaszewski, M. and Ananiadou, S., Natural Language Processing for Cardiology: A Narrative Review, in: arXiv, 2025 [DOI] [URL]

2024

Liu, Z., Yang, K., Xie, Q., Zhang, T. and Ananiadou, S., EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis, 2024 [DOI] [URL] [Pure]
Yang, K., Liu, Z., Xie, Q., Huang, J., Zhang, T. and Ananiadou, S., MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models, in: Thirty-Eighth Annual Conference on Neural Information Processing Systems, Vancouver, Canada, 10/12/24, 2024 [URL] [Pure]
Yang, K., Zhang, T., Kuang, Z., Xie, Q., Huang, J. and Ananiadou, S., MentaLLaMA: interpretable mental health analysis on social media with large language models, in: WWW '24:, pages 4489–4500, 2024 [DOI] [URL] [Pure]
Liu, Z., Zhang, T., Yang, K., Thompson, P., Yu, Z. and Ananiadou, S., Emotion detection for misinformation: A review, in: Information Fusion, 2024 [DOI] [Pure]
Xie, Q., Han, W., Chen, Z., Xiang, R., Zhang, X., He, Y., Xiao, M., Li, D., Dai, Y., Feng, D., Xu, Y., Kang, H., Kuang, Z., Yuan, C., Yang, K, Luo, Z., Zhang, T., Liu, Z., Xiong, G., Deng, Z., Jiang, Y., Yao, Z., Li, H., Yu, Y., Lopez-Lira, A., Wang, B., Lai, Y., Wang, H., Peng, M., Ananiadou, S. and Huang, J., FinBen: An Holistic Financial Benchmark for Large Language Models, in: Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024 [URL]
Zhang, T., Yang, K, Ji, S., Liu, B, Xie, Q. and Ananiadou, S., SuicidEmoji: Derived Emoji Dataset and Tasks for Suicide-Related Social Content, in: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '24), pages 1136–1141, 2024 [URL]

2023

Zhang, T., Yang, K., Alhuzali, H. and Ananiadou, S., PHQ-aware depressive symptoms identification with similarity contrastive learning on social media, in: Information Processing & Management, 2023 [DOI] [URL] [Pure]
Zhang, T., Yang, K. and Ananiadou, S., Sentiment-guided Transformer with Severity-aware Contrastive Learning for Depression Detection on Social Media, in: The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, pages 114–126, 2023 [DOI] [URL] [Pure]
Yang, K., Zhang, T. and Ananiadou, S., Disentangled Variational Autoencoder for Emotion Recognition in Conversations, in: IEEE Transactions on Affective Computing, 2023 [DOI] [URL] [Pure]
Zhang, T., Yang, K. and Ananiadou, S., Emotion fusion for mental illness detection from social media: A survey, in: Information Fusion, pages 231–246, 2023 [DOI] [URL] [Pure]
Yang, K., Zhang, T., Alhuzali, H. and Ananiadou, S., Cluster-Level Contrastive Learning for Emotion Recognition in Conversations, in: IEEE Transactions on Affective Computing, 2023 [DOI] [URL] [Pure]
Yang, K, Zhang, T. and Ananiadou, S., A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge, in: Proceedings of CIKM 2023, pages 2917–2927, 2023 [URL]
Ji, S., Zhang, T., Yang, K and Ananiadou, S., Domain-specific Continued Pretraining of Language Models for Capturing Long Context in Mental Health, in: arXiv, 2023 [URL]
Ji, S., Zhang, T., Yang, K and Ananiadou, S., Rethinking large language models in mental health applications, in: arXiv, 2023 [URL]
Yang, K, Ji, S., Zhang, T., Xie, Q., Kuang, Z. and Ananiadou, S., Towards Interpretable Mental Health Analysis with Large Language Models, in: Proceedings of EMNLP 2023, pages 6056–6077, 2023 [URL]

2022

Alhuzali, H., Zhang, T. and Ananiadou, S., Emotions and Topics Expressed on Twitter During the COVID-19 Pandemic in the United Kingdom: Comparative Geolocation and Text Mining Analysis, in: JOURNAL OF MEDICAL INTERNET RESEARCH, 2022 [DOI] [Pure]
Yang, K, Zhang, T. and Ananiadou, S., A Mental State Knowledge-Aware and Contrastive Network for Early Stress and Depression Detection on Social Media, in: Information Processing and Management, 59:4(102961), 2022 [DOI] [URL]
Alhuzali, H., Zhang, T. and Ananiadou, S., Emotions and Topics Expressed on Twitter During the COVID-19 Pandemic in the United Kingdom: Comparative Geolocation and Text Mining Analysis, in: Journal of Medical Internet Research, 24:10(e40323), 2022 [DOI] [URL]
Zhang, T., Schoene, A and Ananiadou, S., Natural Language Processing Applied to Mental Illness Detection: A Narrative Review, in: n p j Digital Medicine, 5(46), 2022 [DOI] [URL]

2021

Zhang, T., Schoene, A and Ananiadou, S., Automatic identification of suicide notes with a transformer-based deep learning model, in: Internet Interventions(100422), 2021 [DOI] [URL]
Alhuzali, H., Zhang, T. and Ananiadou, S., Predicting Sign of Depression via Using Frozen Pre-trained Models and Random Forest Classifier, in: CLEF (Working Notes), 2021 [URL] [Pure]