Digital Inclusion in Nothern England: Training Women from Underrepresented Communities in Tech: A Data Analytics Case Study. - Olanrewaju Tahir Aduragba; Jialin Yu; Alexandra I. Cristea; Mariann Hardey; Sue Black 001 (ICCSE, 2020)

Temporal Sentiment Analysis of Learners: Public Versus Private Social Media Communication Channels in a Women-in-Tech Conversion Course. - Jialin Yu; Olanrewaju Tahir Aduragba; Zhongtian Sun; Sue Black 001; Craig D. Stewart; Lei Shi 003; Alexandra I. Cristea (ICCSE, 2020)

Sentence Contextual Encoder with BERT and BiLSTM for Automatic Classification with Imbalanced Medication Tweets. - Olanrewaju Tahir Aduragba; Jialin Yu; Gautham Senthilnathan; Alexandra Crsitea (SMM4H@COLING, 2020)

Detecting Fine-Grained Emotions on Social Media during major Disease Outbreaks: Health and Well-being before and during the COVID-19 Pandemic. - Olanrewaju Tahir Aduragba; Jialin Yu; Alexandra I. Cristea; Lei Shi 003 (AMIA, 2021)

INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations. - Jialin Yu; Alexandra I. Cristea; Anoushka Harit; Zhongtian Sun; Olanrewaju Tahir Aduragba; Lei Shi 003; Noura Al Moubayed (IJCNN, 2022)

Efficient Uncertainty Quantification for Multilabel Text Classification. - Jialin Yu; Alexandra I. Cristea; Anoushka Harit; Zhongtian Sun; Olanrewaju Tahir Aduragba; Lei Shi 003; Noura Al Moubayed (IJCNN, 2022)

Multi-task Learning for Personal Health Mention Detection on Social Media. - Olanrewaju Tahir Aduragba; Jialin Yu; Alexandra I. Cristea (CoRR, 2022)

Religion and Spirituality on Social Media in the Aftermath of the Global Pandemic. - Olanrewaju Tahir Aduragba; Alexandra I. Cristea; Pete Phillips; Jonas Kurlberg; Jialin Yu (CoRR, 2022)

Incorporating Emotions into Health Mention Classification Task on Social Media. - Olanrewaju Tahir Aduragba; Jialin Yu; Alexandra I. Cristea (IEEE Big Data, 2023)

Religion and Spirituality on Social Media in the Aftermath of the Global Pandemic. - Olanrewaju Tahir Aduragba; Jialin Yu; Alexandra I. Cristea (IEEE Big Data, 2023)

Improving Health Mention Classification Through Emphasising Literal Meanings: A Study Towards Diversity and Generalisation for Public Health Surveillance. - Olanrewaju Tahir Aduragba; Jialin Yu; Alexandra I. Cristea; Yang Long 001 (WWW, 2023)

Deep Latent Variable Models for Semi-supervised Paraphrase Generation. - Jialin Yu; Alexandra I. Cristea; Anoushka Harit; Zhongtian Sun; Olanrewaju Tahir Aduragba; Lei Shi 003; Noura Al Moubayed (CoRR, 2023)

Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation. - Jialin Yu; Alexandra I. Cristea; Anoushka Harit; Zhongtian Sun; Olanrewaju Tahir Aduragba; Lei Shi 003; Noura Al Moubayed (AI Open, 2023)