Digital Inclusion in Nothern England: Training Women from Underrepresented Communities in Tech: A Data Analytics Case Study. - Olanrewaju Tahir Aduragba; Jialin Yu 001; 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 001; 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 001; 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 001; Alexandra I. Cristea; Lei Shi 003 (AMIA, 2021)

A Generative Bayesian Graph Attention Network for Semi-Supervised Classification on Scarce Data. - Zhongtian Sun; Anoushka Harit; Jialin Yu 001; Alexandra I. Cristea; Noura Al Moubayed (IJCNN, 2021)

A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs. - Zhongtian Sun; Anoushka Harit; Jialin Yu 001; Alexandra I. Cristea; Lei Shi 003 (ITS, 2021)

Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums. - Jialin Yu 001; Laila Alrajhi; Anoushka Harit; Zhongtian Sun; Alexandra I. Cristea; Lei Shi 003 (ITS, 2021)

Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention. - Zhongtian Sun; Anoushka Harit; Alexandra I. Cristea; Jialin Yu 001; Noura Al Moubayed; Lei Shi 003 (IEEE Big Data, 2022)

Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification. - Zhongtian Sun; Anoushka Harit; Alexandra I. Cristea; Jialin Yu 001; Lei Shi 003; Noura Al Moubayed (IJCNN, 2022)

INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations. - Jialin Yu 001; 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 001; 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 001; 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 001 (CoRR, 2022)

Incorporating Emotions into Health Mention Classification Task on Social Media. - Olanrewaju Tahir Aduragba; Jialin Yu 001; 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 001; Alexandra I. Cristea (IEEE Big Data, 2023)

Adaptive Distance Message Passing From the Multi-Relational Edge View. - Zhongtian Sun; Alexandra I. Cristea; Pietro Lio; Jialin Yu 001 (Tiny Papers @ ICLR, 2023)

Intervention Generalization: A View from Factor Graph Models. - Gecia Bravo Hermsdorff; David S. Watson; Jialin Yu 001; Jakob Zeitler; Ricardo Silva 001 (NeurIPS, 2023)

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

Deep Latent Variable Models for Semi-supervised Paraphrase Generation. - Jialin Yu 001; 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 001; Alexandra I. Cristea; Anoushka Harit; Zhongtian Sun; Olanrewaju Tahir Aduragba; Lei Shi 003; Noura Al Moubayed (AI Open, 2023)

Refined feature fusion for in-field high-density and multi-scale rice panicle counting in UAV images. - Yao Chen; Rui Xin; Haiyan Jiang; Yonghuai Liu; Xiaoqi Zhang; Jialin Yu 001 (Comput. Electron. Agric., 2023)

Structured Learning of Compositional Sequential Interventions. - Jialin Yu 001; Andreas Koukorinis; Nicolò Colombo; Yuchen Zhu; Ricardo Silva 001 (NeurIPS, 2024)

Fine-Tuning Pre-trained Language Models for Robust Causal Representation Learning. - Jialin Yu 001; Yuxiang Zhou; Yulan He 001; Nevin L. Zhang; Ricardo Silva 001 (CoRR, 2024)

Causal Analysis of Intellectual Complexity in Software Engineering. - Chunhao Li; Mengdi Zhang; Sijia Meng; Xuning Gao; Jialin Yu 001; Jianyuan Hu; Shuo Wang; Ricardo Silva 001; Bin Chen (IJCNN, 2025)

Can Large Language Models Express Uncertainty Like Human? - Linwei Tao; Yi-Fan Yeh; Bo Kai; Minjing Dong; Tao Huang 020; Tom A. Lamb; Jialin Yu 001; Philip H. S. Torr; Chang Xu 002 (CoRR, 2025)

BiasBusters: Uncovering and Mitigating Tool Selection Bias in Large Language Models. - Thierry Blankenstein; Jialin Yu 001; Zixuan Li 001; Vassilis Plachouras; Sunando Sengupta; Philip Torr 001; Yarin Gal; Alasdair Paren; Adel Bibi (CoRR, 2025)

TraceDet: Hallucination Detection from the Decoding Trace of Diffusion Large Language Models. - Shenxu Chang; Junchi Yu; Weixing Wang; Yongqiang Chen; Jialin Yu 001; Philip Torr 001; Jindong Gu (CoRR, 2025)

ToolTweak: An Attack on Tool Selection in LLM-based Agents. - Jonathan Sneh; Ruomei Yan; Jialin Yu 001; Philip Torr 001; Yarin Gal; Sunando Sengupta; Eric Sommerlade; Alasdair Paren; Adel Bibi (CoRR, 2025)

Towards Multi-Label Text Interpretation with Chain-of-Thought Prompting and Contextualized Knowledge. - Rui Wang 043; Ziang Li; Haiping Huang; Jialin Yu 001; Yuxiang Zhou; Guozi Sun (WWW, 2026)

Permission Manifests for Web Agents. - Samuele Marro; Alan Chan; Xinxing Ren; Lewis Hammond; Jesse Wright; Gurjyot Wanga; Tiziano Piccardi; Nuno Campos; Tobin South; Jialin Yu 001; Sunando Sengupta; Eric Sommerlade; et al. (CoRR, 2026)

A Fragile Guardrail: Diffusion LLM's Safety Blessing and Its Failure Mode. - Zeyuan He; Yupeng Chen; Lang Lin; Yihan Wang; Shenxu Chang; Eric Sommerlade; Philip Torr 001; Junchi Yu; Adel Bibi; Jialin Yu 001 (CoRR, 2026)

MechPert: Mechanistic Consensus as an Inductive Bias for Unseen Perturbation Prediction. - Marc Boubnovski Martell; Josefa Lia Stoisser; Lawrence Phillips; Aditya Misra; Robert Kitchen; Jesper Ferkinghoff-Borg; Jialin Yu 001; Philip Torr 001; Kaspar Märtens (CoRR, 2026)

Benchmarking at the Edge of Comprehension. - Samuele Marro; Jialin Yu 001; Emanuele La Malfa; Oishi Deb; Jiawei Li; Yibo Yang; Ebey Abraham; Sunando Sengupta; Eric Sommerlade; Michael J. Wooldridge; Philip Torr 001 (CoRR, 2026)

Deep Autocorrelation Modeling for Time-Series Forecasting: Progress and Prospects. - Hao Wang 049; Licheng Pan; Qingsong Wen; Jialin Yu 001; Zhichao Chen 001; Chunyuan Zheng 001; Xiaoxi Li; Zhixuan Chu; Chao Xu 006; Mingming Gong; Haoxuan Li 001; Yuan Lu; et al. (CoRR, 2026)

Human-Centric Topic Modeling with Goal-Prompted Contrastive Learning and Optimal Transport. - Rui Wang 043; Yi Zheng; Dongxin Wang; Haiping Huang; Yuanzhi Yao; Yuxiang Zhou; Jialin Yu 001; Philip Torr 001 (CoRR, 2026)

Measuring Black-Box Confidence via Reasoning Trajectories: Geometry, Coverage, and Verbalization. - Marc Boubnovski Martell; Josefa Lia Stoisser; Kaspar Märtens; Jialin Yu 001; Robert Kitchen; Philip Torr 001; Jesper Ferkinghoff-Borg (CoRR, 2026)

Checkup2Action: A Multimodal Clinical Check-up Report Dataset for Patient-Oriented Action Card Generation. - Sike Xiang; Shuang Chen 010; Kevin Qinghong Lin; Jialin Yu 001; Yijia Sun; Philip Torr 001; Amir Atapour-Abarghouei (CoRR, 2026)

Retrieval-Augmented Linguistic Calibration. - Yi-Fan Yeh; Linwei Tao; Minjing Dong; Tao Huang 020; Jialin Yu 001; Philip Torr 001; Chang Xu 002 (CoRR, 2026)

The Path Matters: Learning a Token-Commitment Policy for Diffusion Language Models. - Bohang Sun; Max Zhu; Francesco Caso; Jindong Gu; Junchi Yu; Philip Torr 001; Pietro Liò; Jialin Yu 001 (CoRR, 2026)

ELAN4D: Embodiment-Centric 4D Supervision for Vision-Language-Action Models via Plug-and-Play Adaptation. - Zeyuan He; Bowen Yang; Zhirui Fang; Keru Zhou; Lei Jiang; Jingjing Qian; Fan Mo; Junchi Yan; Philip Torr 001; Xiu Li 001; Li Jiang 009; Jialin Yu 001 (CoRR, 2026)