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)

Is MOOC Learning Different for Dropouts? A Visually-Driven, Multi-granularity Explanatory ML Approach. - Ahmed Alamri; Zhongtian Sun; Alexandra I. Cristea; Gautham Senthilnathan; Lei Shi 003; Craig D. Stewart (ITS, 2020)

Current Interest Enhanced Graph Neural Networks for Session-based Recommendation. - Yujie Lu; Yayu Kong; Zhongtian Sun; Ze Zhang; Tingwei Chen; Yue Hu 002 (ICAC, 2021)

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

MOOC Next Week Dropout Prediction: Weekly Assessing Time and Learning Patterns. - Ahmed Alamri; Zhongtian Sun; Alexandra I. Cristea; Craig D. Stewart; Filipe Dwan Pereira (ITS, 2021)

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

Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums. - Jialin Yu; 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; 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; Lei Shi 003; Noura Al Moubayed (IJCNN, 2022)

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)

A Rewiring Contrastive Patch PerformerMixer Framework for Graph Representation Learning. - Zhongtian Sun; Anoushka Harit; Alexandra I. Cristea; Jingyun Wang; Pietro Lio (IEEE Big Data, 2023)

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

Can Text Encoders be Deceived by Length Attack? - Chenghao Xiao; Zihuiwen Ye; G. Thomas Hudson; Zhongtian Sun; Phil Blunsom; Noura Al Moubayed (Tiny Papers @ ICLR, 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)

MONEY: Ensemble learning for stock price movement prediction via a convolutional network with adversarial hypergraph model. - Zhongtian Sun; Anoushka Harit; Alexandra I. Cristea; Jingyun Wang; Pietro Lio (AI Open, 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)

Breaking Down Financial News Impact: A Novel AI Approach with Geometric Hypergraphs. - Anoushka Harit; Zhongtian Sun; Jongmin Yu; Noura Al Moubayed (NLP4KGC@SEMANTiCS, 2024)

Adversarial Diffusion Model for Unsupervised Domain-Adaptive Semantic Segmentation. - Jongmin Yu; Zhongtian Sun; Shan Luo 001 (CoRR, 2024)

Adversarially Domain-adaptive Latent Diffusion for Unsupervised Semantic Segmentation. - Jongmin Yu; Zhongtian Sun; Chen Bene Chi; Jinhong Yang; Shan Luo 001 (CVPR Workshops, 2025)

Advanced Hypergraph Mining for Web Applications Using Sphere Neural Networks. - Zhongtian Sun; Anoushka Harit; Jongmin Yu; Jingyun Wang; Pietro Liò (WWW (Companion Volume), 2025)

A Bimodal Large-Small Model Collaborative Network for Joint Prediction of State of Health and Remaining Useful Life of Lithium-Ion Batteries. - Weiguo Feng; Zhongtian Sun; Yilin Han; Nian Cai; Yinghong Zhou (IEEE Trans. Instrum. Meas., 2025)

Actionable Interpretability via Causal Hypergraphs: Unravelling Batch Size Effects in Deep Learning. - Zhongtian Sun; Anoushka Harit; Pietro Lio (CoRR, 2025)

Causal Spherical Hypergraph Networks for Modelling Social Uncertainty. - Anoushka Harit; Zhongtian Sun (CoRR, 2025)

ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations. - Anoushka Harit; Zhongtian Sun; Suncica Hadzidedic (CoRR, 2025)

GLANCE: Graph Logic Attention Network with Cluster Enhancement for Heterophilous Graph Representation Learning. - Zhongtian Sun; Anoushka Harit; Alexandra I. Cristea; Christl A. Donnelly; Pietro Liò (CoRR, 2025)

RicciFlowRec: A Geometric Root Cause Recommender Using Ricci Curvature on Financial Graphs. - Zhongtian Sun; Anoushka Harit (CoRR, 2025)