Tianlin Zhang
Tianlin Zhang
The University of Manchester, National Centre for Text Mining
Verified email at - Homepage
Cited by
Cited by
Natural Language Processing Applied to Mental Illness Detection: A Narrative Review
T Zhang, A Schoene, S Ji, S Ananiadou
npj Digital Medicine 5 (46), 2022
Mentalbert: Publicly available pretrained language models for mental healthcare
S Ji, T Zhang, L Ansari, J Fu, P Tiwari, E Cambria
LREC 2022, 2021
Deep learning for drug–drug interaction extraction from the literature: a review
T Zhang, J Leng, Y Liu
Briefings in bioinformatics 21 (5), 1609-1627, 2020
A mental state Knowledge–aware and Contrastive Network for early stress and depression detection on social media
K Yang, T Zhang, S Ananiadou
Information Processing & Management 59 (4), 102961, 2022
On the evaluations of chatgpt and emotion-enhanced prompting for mental health analysis
K Yang, S Ji, T Zhang, Q Xie, S Ananiadou
arXiv preprint arXiv:2304.03347, 2023
Robust obstacle detection and recognition for driver assistance systems
J Leng, Y Liu, D Du, T Zhang, P Quan
IEEE transactions on intelligent transportation systems 21 (4), 1560-1571, 2019
Towards interpretable mental health analysis with large language models
K Yang, S Ji, T Zhang, Q Xie, Z Kuang, S Ananiadou
arXiv preprint arXiv:2304.03347, 2023
SKNet: Detecting rotated ships as keypoints in optical remote sensing images
Z Cui, J Leng, Y Liu, T Zhang, P Quan, W Zhao
IEEE Transactions on Geoscience and Remote Sensing 59 (10), 8826-8840, 2021
Emotion fusion for mental illness detection from social media: A survey
T Zhang, K Yang, S Ji, S Ananiadou
Information Fusion 92, 231-246, 2023
Automatic identification of suicide notes with a transformer-based deep learning model
T Zhang, AM Schoene, S Ananiadou
Internet interventions 25, 100422, 2021
MentaLLaMA: interpretable mental health analysis on social media with large language models
K Yang, T Zhang, Z Kuang, Q Xie, J Huang, S Ananiadou
Proceedings of the ACM on Web Conference 2024, 4489-4500, 2024
Cluster-level contrastive learning for emotion recognition in conversations
K Yang, T Zhang, H Alhuzali, S Ananiadou
IEEE Transactions on Affective Computing 14 (4), 3269-3280, 2023
Alzheimer's disease diagnosis using enhanced inception network based on brain magnetic resonance image
Z Cui, Z Gao, J Leng, T Zhang, P Quan, W Zhao
2019 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2019
Emotions and topics expressed on Twitter during the COVID-19 pandemic in the United Kingdom: comparative geolocation and text mining analysis
H Alhuzali, T Zhang, S Ananiadou
Journal of Medical Internet Research 24 (10), e40323, 2022
Domain-specific continued pretraining of language models for capturing long context in mental health
S Ji, T Zhang, K Yang, S Ananiadou, E Cambria, J Tiedemann
arXiv preprint arXiv:2304.10447, 2023
Context-aware u-net for biomedical image segmentation
J Leng, Y Liu, T Zhang, P Quan, Z Cui
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018
Automatic Chinese multiple-choice question generation for human resource performance appraisal
P Quan, Y Shi, L Niu, Y Liu, T Zhang
Procedia computer science 139, 165-172, 2018
Predicting Sign of Depression via Using Frozen Pre-trained Models and Random Forest Classifier.
H Alhuzali, T Zhang, S Ananiadou
CLEF (Working Notes), 888-896, 2021
PHQ-aware depressive symptoms identification with similarity contrastive learning on social media
T Zhang, K Yang, H Alhuzali, B Liu, S Ananiadou
Information Processing & Management 60 (5), 103417, 2023
A brief review of receptive fields in graph convolutional networks
P Quan, Y Shi, M Lei, J Leng, T Zhang, L Niu
IEEE/WIC/ACM International Conference on Web Intelligence-Companion Volume …, 2019
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