Zhongtian Sun

According to our database, Zhongtian Sun authored at least 19 papers between 2020 and 2024.

Collaborative distances:

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

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