Zhongtian Sun

Orcid: 0000-0003-0489-5203

According to our database1, Zhongtian Sun authored at least 17 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2023
Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation.
AI Open, January, 2023

MONEY: Ensemble learning for stock price movement prediction via a convolutional network with adversarial hypergraph model.
AI Open, January, 2023

Deep Latent Variable Models for Semi-supervised Paraphrase Generation.
CoRR, 2023

Can Text Encoders be Deceived by Length Attack?
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Adaptive Distance Message Passing From the Multi-Relational Edge View.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

A Rewiring Contrastive Patch PerformerMixer Framework for Graph Representation Learning.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Efficient Uncertainty Quantification for Multilabel Text Classification.
Proceedings of the International Joint Conference on Neural Networks, 2022

INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations.
Proceedings of the International Joint Conference on Neural Networks, 2022

Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification.
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.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums.
Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs.
Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

MOOC Next Week Dropout Prediction: Weekly Assessing Time and Learning Patterns.
Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

A Generative Bayesian Graph Attention Network for Semi-Supervised Classification on Scarce Data.
Proceedings of the International Joint Conference on Neural Networks, 2021

Current Interest Enhanced Graph Neural Networks for Session-based Recommendation.
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.
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.
Proceedings of the 15th International Conference on Computer Science & Education, 2020


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