Publications

You can also find my papers on Google Scholar

2024

Yang, K., Zhang, T., Kuang, Zi., Xie, Q., Ananiadou, S. (2023). MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models. In Web Conference 2024 Web4Good

Yang, K., Ji, S., Zhang, T. (Co-Second Author), Xie, Q., Kuang, Zi., Ananiadou, S. (2023). Towards Interpretable Mental Health Analysis with Large Language Models. EMNLP 2023
Yang, K., Zhang, T., Ji, S. & Ananiadou, S. (2023). A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge. CIKM 2023
Zhang, T., Yang, K., Ananiadou, S. (2023). Sentiment-guided Transformer with severity-aware contrastive learning for depression detection on social media. BioNLP@ACL 2023
Zhang, T., Yang, K., Alhuzali, H., Liu, B., Ananiadou, S. (2023). PHQ-aware depressive symptoms identification with similarity contrastive learning on social media. Information Processing & Management (IF=7.466)
Yang, K., Zhang, T., Ananiadou, S. (2023). Disentangled variational autoencoder for emotion recognition in conversations. IEEE Transactions on Affective Computing (IF=13.99)
Yang, K., Zhang, T., Alhuzali, H., Ananiadou, S. (2023). Cluster-level contrastive learning for emotion recognition in conversations. IEEE Transactions on Affective Computing (IF=13.99)

Zhang, T., Yang, K., Ji, S. & Ananiadou, S. (2022). Emotion fusion for mental illness detection from social media: A survey. Information Fusion (IF=17.564)
Alhuzali, H., Zhang, T. (Co-First Author), Ananiadou, S. (2022). Emotions and Topics Expressed on Twitter During the COVID-19 Pandemic in the United Kingdom: Comparative Geolocation and Text Mining Analysis. Journal of Medical Internet Research 2022;24(10):e40323 (IF=7.076)
Yang, K., Zhang, T., & Ananiadou, S. (2022). A mental state Knowledge–aware and Contrastive Network for early stress and depression detection on social media. Information Processing & Management, 59(4), 102961. (IF=7.466)
Zhang, T., Schoene, A.M., Ji, S., Ananiadou, S. (2022). Natural language processing applied to mental illness detection: a narrative review. npj Digital Medcine 5, 46. (IF=15.357)
Ji, S., Zhang, T., Ansari, L., Fu, J., Tiwari, P., & Cambria, E. (2022). MentalBERT: Publicly Available Pretrained Language Models for Mental Healthcare. Proceedings of the Thirteenth Language Resources and Evaluation Conference (LREC) (pp.7184–7190).
Shi, Y., Quan, P., Zhang, T., & Niu, L. (2022). DREAM: Drug-drug interaction extraction with enhanced dependency graph and attention mechanism. Methods. (IF=4.647)

Zhang, T., Schoene, A. M., & Ananiadou, S. (2021). Automatic identification of suicide notes with a transformer-based deep learning model. Internet Interventions, 100422. (IF=5.358)
Alhuzali, H., Zhang, T., & Ananiadou, S. (2021). Predicting Sign of Depression via Using Frozen Pre-trained Models and Random Forest Classifier. In CLEF (Working Notes).
Zhang, T., Cui, Z., Leng, J., & Liu, Y. (2021, May). CSFQGD: Chinese Sentence Fill-in-the-blank Question Generation Dataset for Examination. In 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD) (pp. 609-613). IEEE.
Cui, Z., Leng, J., Liu, Y., Zhang, T., Quan, P., & Zhao, W. SKNet: Detecting Rotated Ships as Keypoints in Optical Remote Sensing. IEEE Transactions on Geoscience and Remote Sensing, 2021. (IF=8.125)

Zhang, T., Leng, J., & Liu, Y. (2020). Deep learning for drug–drug interaction extraction from the literature: a review. Briefings in bioinformatics, 21(5), 1609-1627.(IF=13.994)
Liu, Y., Wang, W., Zhang, T., & Cui, Z. (2020, November). AttentionFM: Incorporating Attention Mechanism and Factorization Machine for Credit Scoring. In 2020 International Conference on Data Mining Workshops (ICDMW) (pp. 356-361). IEEE.

Cui, Z., Gao, Z., Leng, J., Zhang, T., Quan, P., & Zhao, W. (2019, November). Alzheimer’s Disease Diagnosis Using Enhanced Inception Network Based on Brain Magnetic Resonance Image. In 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 2324-2330). IEEE.
Leng, J., Cui, Z., Xiang, C., Zhang, T., & Quan, P. (2019, November). A Novel Neuron Connection Model Mimicking Human Beings. In 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 1217-1219). IEEE.
Zhang, T., Liu, Y., Cui, Z., Leng, J., Xie, W., & Zhang, L. (2019, June). Short-Term Traffic Congestion Forecasting Using Attention-Based Long Short-Term Memory Recurrent Neural Network. In International Conference on Computational Science (pp. 304-314). Springer, Cham.
Liu, Y., Cui, Z., Zhang, T., Leng, J., Xie, W., & Zhang, L. (2019, June). CA-RPT: Context-Aware Road Passage Time Estimation for Urban Traffic. In International Conference on Computational Science (pp. 664-673). Springer, Cham.
Quan, P., Shi, Y., Lei, M., Leng, J., Zhang, T., & Niu, L. (2019, October). A Brief Review of Receptive Fields in Graph Convolutional Networks. In IEEE/WIC/ACM International Conference on Web Intelligence-Companion Volume (pp. 106-110).
Leng, J., Liu, Y., Du, D., Zhang, T., & Quan, P. (2019). Robust obstacle detection and recognition for driver assistance systems. IEEE Transactions on Intelligent Transportation Systems, 21(4), 1560-1571.(IF=9.551)

Zhang, T., & Quan, P. (2018, December). Domain specific automatic Chinese multiple-type question generation. In 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 1967-1971). IEEE.
Leng, J., Liu, Y., Zhang, T., Quan, P., & Cui, Z. (2018, December). Context-aware u-net for biomedical image segmentation. In 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 2535-2538). IEEE.
Leng, J., Liu, Y., Zhang, T., & Quan, P. (2018, November). Context learning network for object detection. In 2018 IEEE International Conference on Data Mining Workshops (ICDMW) (pp. 667-673). IEEE.
Liu, Y., Zhang, T., Quan, P., Wen, Y., Wu, K., & He, H. (2018, June). A Novel Parsing-Based Automatic Domain Terminology Extraction Method. In International Conference on Computational Science (pp. 796-802). Springer, Cham.
Quan, P., Liu, Y., Zhang, T., Wen, Y., Wu, K., He, H., & Shi, Y. (2018, June). A Novel Data Mining Approach Towards Human Resource Performance Appraisal. In International Conference on Computational Science (pp. 476-488). Springer, Cham.