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)

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)

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)

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