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Journal Articles
- 2023
[j2]Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed:
Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation. AI Open 4: 19-32 (2023)- [j1]Zhongtian Sun
, Anoushka Harit, Alexandra I. Cristea, Jingyun Wang, Pietro Lio:
MONEY: Ensemble learning for stock price movement prediction via a convolutional network with adversarial hypergraph model. AI Open 4: 165-174 (2023)
Conference and Workshop Papers
- 2024
- [c9]Anoushka Harit, Zhongtian Sun, Jongmin Yu, Noura Al Moubayed:
Breaking Down Financial News Impact: A Novel AI Approach with Geometric Hypergraphs. NLP4KGC@SEMANTiCS 2024: 54-69 - 2023
- [c8]Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jingyun Wang, Pietro Lio:
A Rewiring Contrastive Patch PerformerMixer Framework for Graph Representation Learning. IEEE Big Data 2023: 5930-5939 - 2022
- [c7]Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jialin Yu, Noura Al Moubayed, Lei Shi:
Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention. IEEE Big Data 2022: 5352-5360 - [c6]Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jialin Yu, Lei Shi, Noura Al Moubayed:
Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification. IJCNN 2022: 1-6 - [c5]Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed:
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations. IJCNN 2022: 1-8 - [c4]Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed:
Efficient Uncertainty Quantification for Multilabel Text Classification. IJCNN 2022: 1-8 - 2021
- [c3]Zhongtian Sun, Anoushka Harit, Jialin Yu, Alexandra I. Cristea, Noura Al Moubayed:
A Generative Bayesian Graph Attention Network for Semi-Supervised Classification on Scarce Data. IJCNN 2021: 1-7 - [c2]Zhongtian Sun, Anoushka Harit, Jialin Yu, Alexandra I. Cristea, Lei Shi:
A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs. ITS 2021: 28-37 - [c1]Jialin Yu, Laila Alrajhi, Anoushka Harit, Zhongtian Sun, Alexandra I. Cristea, Lei Shi:
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums. ITS 2021: 78-90
Informal and Other Publications
- 2024
- [i4]Anoushka Harit, Zhongtian Sun, Jongmin Yu, Noura Al Moubayed:
Breaking Down Financial News Impact: A Novel AI Approach with Geometric Hypergraphs. CoRR abs/2409.00438 (2024) - 2023
- [i3]Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed:
Deep Latent Variable Models for Semi-supervised Paraphrase Generation. CoRR abs/2301.02275 (2023) - 2022
- [i2]Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed:
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations. CoRR abs/2209.01061 (2022) - 2021
- [i1]Jialin Yu, Laila Alrajhi, Anoushka Harit, Zhongtian Sun, Alexandra I. Cristea, Lei Shi:
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums. CoRR abs/2104.12643 (2021)
Coauthor Index
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