Jialin Yu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
8
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | COLT | Distribution-Free Sequential Prediction with Abstentions. | Jialin Yu, Mose Blanchard |
| 2026 | WWW | Towards Multi-Label Text Interpretation with Chain-of-Thought Prompting and Contextualized Knowledge. | Rui Wang, Ziang Li, Haiping Huang, Jialin Yu, Yuxiang Zhou, Guozi Sun |
| 2025 | IJCNN | Causal Analysis of Intellectual Complexity in Software Engineering. | Chunhao Li, Mengdi Zhang, Sijia Meng, Xuning Gao, Jialin Yu, Jianyuan Hu, Shuo Wang, Ricardo Silva, Bin Chen |
| 2025 | SMC | Efficient Weed Detection in Corn Fields Based on ESL-YOLOv8. | Mian Li, Aimin Li, Jialin Yu, Xiaojun Jin, Zheqi Yang, Zhike Su, Wenpeng Zhu |
| 2024 | ECCV | DebiasPI: Inference-Time Debiasing by Prompt Iteration of a Text-to-Image Generative Model. | Sarah Bonna, Yu-Cheng Huang, Ekaterina Novozhilova, Sejin Paik, Zhengyang Shan, Michelle Yilin Feng, Ge Gao, Yonish Tayal, Rushil Kulkarni, Jialin Yu, Nupur Divekar, Deepti Ghadiyaram, Derry Wijaya, Margrit Betke |
| 2023 | ICLR | Adaptive Distance Message Passing From the Multi-Relational Edge View. | Zhongtian Sun, Alexandra I. Cristea, Pietro Lio, Jialin Yu |
| 2023 | WWW | Improving Health Mention Classification Through Emphasising Literal Meanings: A Study Towards Diversity and Generalisation for Public Health Surveillance. | Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea, Yang Long |
| 2022 | IJCNN | 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 |
| 2022 | IJCNN | 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 |
| 2022 | IJCNN | Efficient Uncertainty Quantification for Multilabel Text Classification. | Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed |
| 2021 | AMIA | Detecting Fine-Grained Emotions on Social Media during major Disease Outbreaks: Health and Well-being before and during the COVID-19 Pandemic. | Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea, Lei Shi |
| 2021 | IJCNN | 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 |
| 2021 | ITS | A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs. | Zhongtian Sun, Anoushka Harit, Jialin Yu, Alexandra I. Cristea, Lei Shi |
| 2021 | ITS | 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 |