Zhongtian Sun

According to our database, Zhongtian Sun authored at least 40 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Heterophily-Agnostic Hypergraph Neural Networks with Riemannian Local Exchanger.

Li Sun, Min Zhang, Wenxin Jin, Zhongtian Sun, Zhenhao Huang, Hao Peng, Sen Su, Philip S. Yu

CoRR, March, 2026

Relation Extraction from the Perspective of the Frequency Domain: Frequency-Domain Aware Gated Graph Attention Network.

Zhan'ao Yao, Wenli Geng, Hongxin Yang, Zhongtian Sun, Tingwei Chen

Neural Process. Lett., February, 2026

Preference Optimization for Review Question Generation Improves Writing Quality.

Karun Sharma, Vidushee Vats, Shengzhi Li, Yuxiang Wang, Zhongtian Sun, Prayag Tiwari

CoRR, February, 2026

A Monosemantic Attribution Framework for Stable Interpretability in Clinical Neuroscience Large Language Models.

Michail Mamalakis, Tiago Azevedo, Cristian Cosentino, Chiara D'Ercoli, Subati Abulikemu, Zhongtian Sun, Richard A. I. Bethlehem, Pietro Lio

CoRR, January, 2026

AlphaFace: High Fidelity and Real-time Face Swapper Robust to Facial Pose.

Jongmin Yu, Hyeontaek Oh, Zhongtian Sun, Angelica I. Avilés-Rivero, Moongu Jeon, Jinhong Yang

CoRR, January, 2026

Heterophily-Agnostic Hypergraph Neural Networks with Riemannian Local Exchanger.

Li Sun, Ming Zhang, Wenxin Jin, Zhongtian Sun, Zhenhao Huang, Hao Peng, Sen Su, Philip S. Yu

Proceedings of the ACM Web Conference 2026, 2026

2025

Three trustworthiness challenges in large language model-based financial systems: real-world examples and mitigation strategies.

Shurui Xu, Feng Luo, Shuyan Li, Mengzhen Fan, Zhongtian Sun

Frontiers Inf. Technol. Electron. Eng., October, 2025

EWC-Guided Diffusion Replay for Exemplar-Free Continual Learning in Medical Imaging.

Anoushka Harit, William Prew, Zhongtian Sun, Florian Markowetz

CoRR, September, 2025

How to make Medical AI Systems safer? Simulating Vulnerabilities, and Threats in Multimodal Medical RAG System.

Kaiwen Zuo, Zelin Liu, Raman Dutt, Ziyang Wang, Zhongtian Sun, Yeming Wang, Fan Mo, Pietro Liò

CoRR, August, 2025

ManifoldMind: Dynamic Hyperbolic Reasoning for Trustworthy Recommendations.

Anoushka Harit, Zhongtian Sun, Suncica Hadzidedic

CoRR, July, 2025

Causal Spherical Hypergraph Networks for Modelling Social Uncertainty.

Anoushka Harit, Zhongtian Sun

CoRR, June, 2025

Actionable Interpretability via Causal Hypergraphs: Unravelling Batch Size Effects in Deep Learning.

Zhongtian Sun, Anoushka Harit, Pietro Lio

CoRR, June, 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

Real-Time, High-Fidelity Face Identity Swapping With a Vision Foundation Model.

Jongmin Yu, Hyeontaek Oh, Zhongtian Sun, Younkwan Lee, Jinhong Yang

IEEE Access, 2025

Advanced Hypergraph Mining for Web Applications Using Sphere Neural Networks.

Zhongtian Sun, Anoushka Harit, Jongmin Yu, Jingyun Wang, Pietro Liò

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

RicciFlowRec: A Geometric Root Cause Recommender Using Ricci Curvature on Financial Graphs.

Zhongtian Sun, Anoushka Harit

Proceedings of the Nineteenth ACM Conference on Recommender Systems, 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

Proceedings of the Knowledge Graphs - 14th International Joint Conference, 2025

Quantifying Semantic Shift in Financial NLP: Robust Metrics for Market Prediction Stability.

Zhongtian Sun, Chenghao Xiao, Anoushka Harit, Jongmin Yu

Proceedings of the 6th ACM International Conference on AI in Finance, 2025

From News to Returns: A Granger-Causal Hypergraph Transformer on the Sphere.

Anoushka Harit, Zhongtian Sun, Jongmin Yu

Proceedings of the 6th ACM International Conference on AI in Finance, 2025

Adversarially Domain-adaptive Latent Diffusion for Unsupervised Semantic Segmentation.

Jongmin Yu, Zhongtian Sun, Chen Bene Chi, Jinhong Yang, Shan Luo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

SPAR-GNN: Knowledge Tracing with Behavioural Patterns and Selective LLM Feedback.

Zhongtian Sun, Jingyun Wang, Ahmed Alamri, Alexandra I. Cristea

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED, 2025

2024

Adversarial Diffusion Model for Unsupervised Domain-Adaptive Semantic Segmentation.

Jongmin Yu, Zhongtian Sun, Shan Luo

CoRR, 2024

Breaking Down Financial News Impact: A Novel AI Approach with Geometric Hypergraphs.

Anoushka Harit, Zhongtian Sun, Jongmin Yu, Noura Al Moubayed

Proceedings of the 3rd International Workshop on Natural Language Processing for Knowledge Graph Creation co-located with 20th International Conference on Semantic Systems (SEMANTiCS 2024), 2024

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, Noura Al Moubayed

AI Open, January, 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, January, 2023

Deep Latent Variable Models for Semi-supervised Paraphrase Generation.

Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed

CoRR, 2023

Can Text Encoders be Deceived by Length Attack?

Chenghao Xiao, Zihuiwen Ye, G. Thomas Hudson, Zhongtian Sun, Phil Blunsom, Noura Al Moubayed

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Adaptive Distance Message Passing From the Multi-Relational Edge View.

Zhongtian Sun, Alexandra I. Cristea, Pietro Lio, Jialin Yu

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

A Rewiring Contrastive Patch PerformerMixer Framework for Graph Representation Learning.

Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jingyun Wang, Pietro Lio

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Efficient Uncertainty Quantification for Multilabel Text Classification.

Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed

Proceedings of the International Joint Conference on Neural Networks, 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, Noura Al Moubayed

Proceedings of the International Joint Conference on Neural Networks, 2022

Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification.

Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jialin Yu, Lei Shi, Noura Al Moubayed

Proceedings of the International Joint Conference on Neural Networks, 2022

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

Proceedings of the IEEE International Conference on Big Data, 2022

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

Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs.

Zhongtian Sun, Anoushka Harit, Jialin Yu, Alexandra I. Cristea, Lei Shi

Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 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

Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 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

Proceedings of the International Joint Conference on Neural Networks, 2021

Current Interest Enhanced Graph Neural Networks for Session-based Recommendation.

Yujie Lu, Yayu Kong, Zhongtian Sun, Ze Zhang, Tingwei Chen, Yue Hu

Proceedings of the 26th International Conference on Automation and Computing, 2021

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, Craig D. Stewart

Proceedings of the Intelligent Tutoring Systems - 16th International Conference, 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, Craig D. Stewart, Lei Shi, Alexandra I. Cristea

Proceedings of the 15th International Conference on Computer Science & Education, 2020