Jialin Yu - RankMe

39 papers A* 4B 10Misc 1Journal 20Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Fragile Guardrail: Diffusion LLM's Safety Blessing and Its Failure Mode. CoRR Zeyuan He, Yupeng Chen, Lang Lin, Yihan Wang, Shenxu Chang, Eric Sommerlade, Philip Torr, Junchi Yu, Adel Bibi, Jialin Yu
2026	J	`jnl`	Benchmarking at the Edge of Comprehension. CoRR Samuele Marro, Jialin Yu, Emanuele La Malfa, Oishi Deb, Jiawei Li, Yibo Yang, Ebey Abraham, Sunando Sengupta, Eric Sommerlade, Michael J. Wooldridge, Philip Torr
2026	J	`jnl`	Deep Autocorrelation Modeling for Time-Series Forecasting: Progress and Prospects. CoRR Hao Wang, Licheng Pan, Qingsong Wen, Jialin Yu, Zhichao Chen, Chunyuan Zheng, Xiaoxi Li, Zhixuan Chu, Chao Xu, Mingming Gong, Haoxuan Li, Yuan Lu, Zhouchen Lin, Philip Torr, Yan Liu
2026	J	`jnl`	MechPert: Mechanistic Consensus as an Inductive Bias for Unseen Perturbation Prediction. CoRR Marc Boubnovski Martell, Josefa Lia Stoisser, Lawrence Phillips, Aditya Misra, Robert Kitchen, Jesper Ferkinghoff-Borg, Jialin Yu, Philip Torr, Kaspar Märtens
2026	J	`jnl`	Permission Manifests for Web Agents. CoRR Samuele Marro, Alan Chan, Xinxing Ren, Lewis Hammond, Jesse Wright, Gurjyot Wanga, Tiziano Piccardi, Nuno Campos, Tobin South, Jialin Yu, Sunando Sengupta, Eric Sommerlade, Alex Pentland, Philip Torr, Jiaxin Pei
2026	A*	`conf`	Towards Multi-Label Text Interpretation with Chain-of-Thought Prompting and Contextualized Knowledge. WWW Rui Wang, Ziang Li, Haiping Huang, Jialin Yu, Yuxiang Zhou, Guozi Sun
2025	J	`jnl`	BiasBusters: Uncovering and Mitigating Tool Selection Bias in Large Language Models. CoRR Thierry Blankenstein, Jialin Yu, Zixuan Li, Vassilis Plachouras, Sunando Sengupta, Philip Torr, Yarin Gal, Alasdair Paren, Adel Bibi
2025	J	`jnl`	Can Large Language Models Express Uncertainty Like Human? CoRR Linwei Tao, Yi-Fan Yeh, Bo Kai, Minjing Dong, Tao Huang, Tom A. Lamb, Jialin Yu, Philip H. S. Torr, Chang Xu
2025	B	`conf`	Causal Analysis of Intellectual Complexity in Software Engineering. IJCNN Chunhao Li, Mengdi Zhang, Sijia Meng, Xuning Gao, Jialin Yu, Jianyuan Hu, Shuo Wang, Ricardo Silva, Bin Chen
2025	J	`jnl`	ToolTweak: An Attack on Tool Selection in LLM-based Agents. CoRR Jonathan Sneh, Ruomei Yan, Jialin Yu, Philip Torr, Yarin Gal, Sunando Sengupta, Eric Sommerlade, Alasdair Paren, Adel Bibi
2025	J	`jnl`	TraceDet: Hallucination Detection from the Decoding Trace of Diffusion Large Language Models. CoRR Shenxu Chang, Junchi Yu, Weixing Wang, Yongqiang Chen, Jialin Yu, Philip Torr, Jindong Gu
2024	J	`jnl`	Fine-Tuning Pre-trained Language Models for Robust Causal Representation Learning. CoRR Jialin Yu, Yuxiang Zhou, Yulan He, Nevin L. Zhang, Ricardo Silva
2024	A*	`conf`	Structured Learning of Compositional Sequential Interventions. NeurIPS Jialin Yu, Andreas Koukorinis, Nicolò Colombo, Yuchen Zhu, Ricardo Silva
2024	J	`jnl`	Structured Learning of Compositional Sequential Interventions. CoRR Jialin Yu, Andreas Koukorinis, Nicolò Colombo, Yuchen Zhu, Ricardo Silva
2023	—	`conf`	Adaptive Distance Message Passing From the Multi-Relational Edge View. Tiny Papers @ ICLR Zhongtian Sun, Alexandra I. Cristea, Pietro Lio, Jialin Yu
2023	J	`jnl`	Deep Latent Variable Models for Semi-supervised Paraphrase Generation. CoRR Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed
2023	A*	`conf`	Improving Health Mention Classification Through Emphasising Literal Meanings: A Study Towards Diversity and Generalisation for Public Health Surveillance. WWW Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea, Yang Long
2023	B	`conf`	Incorporating Emotions into Health Mention Classification Task on Social Media. IEEE Big Data Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea
2023	A*	`conf`	Intervention Generalization: A View from Factor Graph Models. NeurIPS Gecia Bravo Hermsdorff, David S. Watson, Jialin Yu, Jakob Zeitler, Ricardo Silva
2023	J	`jnl`	Intervention Generalization: A View from Factor Graph Models. CoRR Gecia Bravo Hermsdorff, David S. Watson, Jialin Yu, Jakob Zeitler, Ricardo Silva
2023	J	`jnl`	Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation. AI Open Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed
2023	J	`jnl`	Refined feature fusion for in-field high-density and multi-scale rice panicle counting in UAV images. Comput. Electron. Agric. Yao Chen, Rui Xin, Haiyan Jiang, Yonghuai Liu, Xiaoqi Zhang, Jialin Yu
2023	B	`conf`	Religion and Spirituality on Social Media in the Aftermath of the Global Pandemic. IEEE Big Data Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea
2022	B	`conf`	Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification. IJCNN Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jialin Yu, Lei Shi, Noura Al Moubayed
2022	B	`conf`	Efficient Uncertainty Quantification for Multilabel Text Classification. IJCNN Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed
2022	B	`conf`	INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations. IJCNN Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed
2022	J	`jnl`	INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations. CoRR Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed
2022	J	`jnl`	Incorporating Emotions into Health Mention Classification Task on Social Media. CoRR Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea
2022	B	`conf`	Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention. IEEE Big Data Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jialin Yu, Noura Al Moubayed, Lei Shi
2022	J	`jnl`	Multi-task Learning for Personal Health Mention Detection on Social Media. CoRR Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea
2022	J	`jnl`	Religion and Spirituality on Social Media in the Aftermath of the Global Pandemic. CoRR Olanrewaju Tahir Aduragba, Alexandra I. Cristea, Pete Phillips, Jonas Kurlberg, Jialin Yu
2021	B	`conf`	A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs. ITS Zhongtian Sun, Anoushka Harit, Jialin Yu, Alexandra I. Cristea, Lei Shi
2021	B	`conf`	A Generative Bayesian Graph Attention Network for Semi-Supervised Classification on Scarce Data. IJCNN Zhongtian Sun, Anoushka Harit, Jialin Yu, Alexandra I. Cristea, Noura Al Moubayed
2021	Misc	`conf`	Detecting Fine-Grained Emotions on Social Media during major Disease Outbreaks: Health and Well-being before and during the COVID-19 Pandemic. AMIA Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea, Lei Shi
2021	B	`conf`	Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums. ITS Jialin Yu, Laila Alrajhi, Anoushka Harit, Zhongtian Sun, Alexandra I. Cristea, Lei Shi
2021	J	`jnl`	Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums. CoRR Jialin Yu, Laila Alrajhi, Anoushka Harit, Zhongtian Sun, Alexandra I. Cristea, Lei Shi
2020	—	`conf`	Digital Inclusion in Nothern England: Training Women from Underrepresented Communities in Tech: A Data Analytics Case Study. ICCSE Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea, Mariann Hardey, Sue Black
2020	—	`conf`	Sentence Contextual Encoder with BERT and BiLSTM for Automatic Classification with Imbalanced Medication Tweets. SMM4H@COLING Olanrewaju Tahir Aduragba, Jialin Yu, Gautham Senthilnathan, Alexandra Crsitea
2020	—	`conf`	Temporal Sentiment Analysis of Learners: Public Versus Private Social Media Communication Channels in a Women-in-Tech Conversion Course. ICCSE Jialin Yu, Olanrewaju Tahir Aduragba, Zhongtian Sun, Sue Black, Craig D. Stewart, Lei Shi, Alexandra I. Cristea