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ORCIDJialin Yu 0001
Person information
- affiliation: University of Oxford, Department of Engineering Science, Oxford, UK
- affiliation (2023 - 2025): University College London, UK
- affiliation (PhD 2023): Durham University, Department of Computer Science, Durham, UK
Other persons with the same name
- Jialin Yu — disambiguation page
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2020 – today
- 2025
[c18]Chunhao Li, Mengdi Zhang, Sijia Meng, Xuning Gao, Jialin Yu, Jianyuan Hu, Shuo Wang, Ricardo Silva, Bin Chen:
Causal Analysis of Intellectual Complexity in Software Engineering. IJCNN 2025: 1-8- [i13]Linwei Tao, Yi-Fan Yeh, Bo Kai, Minjing Dong, Tao Huang, Tom A. Lamb, Jialin Yu, Philip H. S. Torr, Chang Xu:
Can Large Language Models Express Uncertainty Like Human? CoRR abs/2509.24202 (2025) - [i12]Thierry Blankenstein, Jialin Yu, Zixuan Li, Vassilis Plachouras, Sunando Sengupta, Philip Torr, Yarin Gal, Alasdair Paren, Adel Bibi:
BiasBusters: Uncovering and Mitigating Tool Selection Bias in Large Language Models. CoRR abs/2510.00307 (2025) - [i11]Shenxu Chang, Junchi Yu, Weixing Wang, Yongqiang Chen, Jialin Yu, Philip Torr, Jindong Gu:
TraceDet: Hallucination Detection from the Decoding Trace of Diffusion Large Language Models. CoRR abs/2510.01274 (2025) - [i10]Jonathan Sneh, Ruomei Yan, Jialin Yu, Philip Torr, Yarin Gal, Sunando Sengupta, Eric Sommerlade, Alasdair Paren, Adel Bibi:
ToolTweak: An Attack on Tool Selection in LLM-based Agents. CoRR abs/2510.02554 (2025) - 2024
- [c17]Jialin Yu, Andreas Koukorinis, Nicolò Colombo, Yuchen Zhu, Ricardo Silva:
Structured Learning of Compositional Sequential Interventions. NeurIPS 2024 - [i9]Jialin Yu, Andreas Koukorinis, Nicolò Colombo, Yuchen Zhu, Ricardo Silva:
Structured Learning of Compositional Sequential Interventions. CoRR abs/2406.05745 (2024) - [i8]Jialin Yu, Yuxiang Zhou, Yulan He, Nevin L. Zhang, Ricardo Silva:
Fine-Tuning Pre-trained Language Models for Robust Causal Representation Learning. CoRR abs/2410.14375 (2024) - 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]Yao Chen, Rui Xin, Haiyan Jiang, Yonghuai Liu, Xiaoqi Zhang, Jialin Yu:
Refined feature fusion for in-field high-density and multi-scale rice panicle counting in UAV images. Comput. Electron. Agric. 211: 108032 (2023) - [c16]Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea:
Incorporating Emotions into Health Mention Classification Task on Social Media. IEEE Big Data 2023: 4834-4842 - [c15]Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea:
Religion and Spirituality on Social Media in the Aftermath of the Global Pandemic. IEEE Big Data 2023: 5704-5713 - [c14]Zhongtian Sun, Alexandra I. Cristea, Pietro Lio, Jialin Yu:
Adaptive Distance Message Passing From the Multi-Relational Edge View. Tiny Papers @ ICLR 2023 - [c13]Gecia Bravo Hermsdorff, David S. Watson, Jialin Yu, Jakob Zeitler, Ricardo Silva:
Intervention Generalization: A View from Factor Graph Models. NeurIPS 2023 - [c12]Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea, Yang Long:
Improving Health Mention Classification Through Emphasising Literal Meanings: A Study Towards Diversity and Generalisation for Public Health Surveillance. WWW 2023: 3928-3936 - [i7]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) - [i6]Gecia Bravo Hermsdorff, David S. Watson, Jialin Yu, Jakob Zeitler, Ricardo Silva:
Intervention Generalization: A View from Factor Graph Models. CoRR abs/2306.04027 (2023) - 2022
- [c11]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 - [c10]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 - [c9]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 - [c8]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 - [i5]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) - [i4]Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea:
Incorporating Emotions into Health Mention Classification Task on Social Media. CoRR abs/2212.05039 (2022) - [i3]Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea:
Multi-task Learning for Personal Health Mention Detection on Social Media. CoRR abs/2212.05147 (2022) - [i2]Olanrewaju Tahir Aduragba, Alexandra I. Cristea, Pete Phillips, Jonas Kurlberg, Jialin Yu:
Religion and Spirituality on Social Media in the Aftermath of the Global Pandemic. CoRR abs/2212.11121 (2022) - 2021
- [c7]Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea, Lei Shi:
Detecting Fine-Grained Emotions on Social Media during major Disease Outbreaks: Health and Well-being before and during the COVID-19 Pandemic. AMIA 2021 - [c6]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 - [c5]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 - [c4]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 - [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) - 2020
- [c3]Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea, Mariann Hardey, Sue Black:
Digital Inclusion in Nothern England: Training Women from Underrepresented Communities in Tech: A Data Analytics Case Study. ICCSE 2020: 162-168 - [c2]Jialin Yu, Olanrewaju Tahir Aduragba, Zhongtian Sun, Sue Black, Craig D. Stewart, Lei Shi, Alexandra I. Cristea:
Temporal Sentiment Analysis of Learners: Public Versus Private Social Media Communication Channels in a Women-in-Tech Conversion Course. ICCSE 2020: 182-187 - [c1]Olanrewaju Tahir Aduragba, Jialin Yu, Gautham Senthilnathan, Alexandra Crsitea:
Sentence Contextual Encoder with BERT and BiLSTM for Automatic Classification with Imbalanced Medication Tweets. SMM4H@COLING 2020: 165-167
Coauthor Index
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