| Graph Information Bottleneck for Subgraph Recognition J Yu, T Xu, Y Rong, Y Bian, J Huang, R He ICLR 2021, 2021 | 282* | 2021 |
| Improving Subgraph Recognition with Variational Graph Information Bottleneck J Yu, J Cao, R He CVPR 2022, 2022 | 145* | 2022 |
| Recognizing Predictive Substructures with Subgraph Information Bottleneck J Yu, T Xu, Y Rong, Y Bian, J Huang, R He IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 109 | 2021 |
| Thought Propagation: An Analogical Approach to Complex Reasoning with Large Language Models J Yu, R He, R Ying ICLR 2024, 2024 | 97* | 2024 |
| Trustworthy graph learning: Reliability, explainability, and privacy protection B Wu, Y Bian, H Zhang, J Li, J Yu, L Chen, C Chen, J Huang Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 82* | 2022 |
| Mind the Label Shift of Augmentation-based Graph OOD generalization J Yu, J Liang, R He CVPR 2023, 2023 | 76* | 2023 |
| Rumor Detection with Diverse Counterfactual Evidence K Zhang, J Yu, H Shi, J Liang, XY Zhang ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023 | 48 | 2023 |
| Structure-aware conditional variational auto-encoder for constrained molecule optimization J Yu, T Xu, Y Rong, J Huang, R He Pattern Recognition 126, 108581, 2022 | 48 | 2022 |
| Pose-preserving cross spectral face hallucination. J Yu, J Cao, Y Li, X Jia, R He IJCAI, 1018-1024, 2019 | 44 | 2019 |
| DeepResearch Arena: The First Exam of LLMs' Research Abilities via Seminar-Grounded Tasks H Wan, C Yang, J Yu, M Tu, J Lu, D Yu, J Cao, B Gao, J Xie, A Wang, ... AAAI 2026, 2025 | 29 | 2025 |
| ScoreMix: A scalable augmentation strategy for training GANs with limited data J Cao, M Luo, J Yu, MH Yang, R He IEEE Transactions on pattern analysis and machine intelligence 45 (7), 8920-8935, 2022 | 29 | 2022 |
| From what to why: A multi-agent system for evidence-based chemical reaction condition reasoning C Yang, J Lu, H Wan, J Yu, F Qin ICLR 2026, 2025 | 19 | 2025 |
| Finding diverse and predictable subgraphs for graph domain generalization J Yu, J Liang, R He arXiv preprint arXiv:2206.09345, 2022 | 17 | 2022 |
| Reasoning via Video: The First Evaluation of Video Models' Reasoning Abilities through Maze-Solving Tasks C Yang, H Wan, Y Peng, X Cheng, Z Yu, J Zhang, J Yu, X Yu, X Zheng, ... arXiv preprint arXiv:2511.15065, 2025 | 13 | 2025 |
| Generative explanations for graph neural network: Methods and evaluations J Chen, K Amara, J Yu, R Ying arXiv preprint arXiv:2311.05764, 2023 | 11 | 2023 |
| TraceDet: Hallucination Detection from the Decoding Trace of Diffusion Large Language Models S Chang, J Yu, W Wang, Y Chen, J Yu, P Torr, J Gu ICLR 2026, 2025 | 10 | 2025 |
| Can Knowledge-graph-based Retrieval Augmented Generation Really Retrieve What You Need? J Yu, Y Liu, J Gu, P Torr, D Zhou NeurIPS 2025 (Spotlight), 2025 | 8* | 2025 |
| Towards the explanation of graph neural networks in digital pathology with information flows J Yu, T Xu, R He arXiv preprint arXiv:2112.09895, 2021 | 8 | 2021 |
| Scientific reasoning does not reliably translate into scientific forecasting in frontier AI S Wu, P Lu, Y Chen, J Bragg, Y Yamada, P Clark, D Clifton, P Torr, J Zou, ... arXiv preprint arXiv:2605.22681, 2026 | 5* | 2026 |
| Safer by Diffusion, Broken by Context: Diffusion LLM's Safety Blessing and Its Failure Mode Z He, Y Chen, L Lin, Y Wang, S Chang, E Sommerlade, P Torr, J Yu, ... arXiv preprint arXiv:2602.00388, 2026 | 5* | 2026 |
Ran HeInstitute of Automation, Chinese Academy of Sciences在 nlpr.ia.ac.cn 的电子邮件经过验证
Philip TorrProfessor, University of Oxford在 eng.ox.ac.uk 的电子邮件经过验证
Tingyang XuAlibaba DAMO Academy在 alibaba-inc.com 的电子邮件经过验证
Yu RongAlibaba DAMO Academy在 alibaba-inc.com 的电子邮件经过验证
Junzhou HuangDr. David and Cindy Kung Professor, the University of Texas at Arlington在 uta.edu 的电子邮件经过验证
Yatao BianNational University of Singapore在 inf.ethz.ch 的电子邮件经过验证
Rex (Zhitao) YingYale University在 yale.edu 的电子邮件经过验证
Peilin Zhao (赵沛霖)Shanghai Jiao Tong University在 sjtu.edu.cn 的电子邮件经过验证
Sean WuStanford CS PhD在 stanford.edu 的电子邮件经过验证
David A. CliftonChair of Clinical Machine Learning, University of Oxford在 eng.ox.ac.uk 的电子邮件经过验证
Pan LuStanford University在 stanford.edu 的电子邮件经过验证
James ZouStanford University在 stanford.edu 的电子邮件经过验证
Wanli Ouyang (欧阳万里)SLAI & CUHK & Shanghai AI Lab在 sydney.edu.au 的电子邮件经过验证
Yutaro YamadaGoogle DeepMind在 google.com 的电子邮件经过验证
Peter ClarkAllen Institute for Artificial Intelligence (AI2)在 allenai.org 的电子邮件经过验证
Jonathan BraggAllen Institute for AI在 allenai.org 的电子邮件经过验证