Yan, Yujun

10 publications

ICML 2025 MindLLM: A Subject-Agnostic and Versatile Model for fMRI-to-Text Decoding Weikang Qiu, Zheng Huang, Haoyu Hu, Aosong Feng, Yujun Yan, Zhitao Ying

NeurIPS 2025 Transfer Faster, Price Smarter: Minimax Dynamic Pricing Under Cross-Market Preference Shift Yi Zhang, Elynn Chen, Yujun Yan

ICML 2024 Enhancing Size Generalization in Graph Neural Networks Through Disentangled Representation Learning Zheng Huang, Qihui Yang, Dawei Zhou, Yujun Yan

ICML 2024 EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs Haohui Wang, Yuzhen Mao, Yujun Yan, Yaoqing Yang, Jianhui Sun, Kevin Choi, Balaji Veeramani, Alison Hu, Edward Bowen, Tyler Cody, Dawei Zhou

NeurIPS 2024 Exploring Consistency in Graph Representations: From Graph Kernels to Graph Neural Networks Xuyuan Liu, Yinghao Cai, Qihui Yang, Yujun Yan

NeurIPS 2024 Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification Yihe Wang, Nan Huang, Taida Li, Yujun Yan, Xiang Zhang

NeurIPS 2024 Sharpness-Diversity Tradeoff: Improving Flat Ensembles with SharpBalance Haiquan Lu, Xiaotian Liu, Yefan Zhou, Qunli Li, Kurt Keutzer, Michael W. Mahoney, Yujun Yan, Huanrui Yang, Yaoqing Yang

NeurIPS 2020 Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu, Danai Koutra

ICLR 2020 Neural Execution Engines Yujun Yan, Kevin Swersky, Danai Koutra, Parthasarathy Ranganathan, Milad Hashemi

NeurIPS 2020 Neural Execution Engines: Learning to Execute Subroutines Yujun Yan, Kevin Swersky, Danai Koutra, Parthasarathy Ranganathan, Milad Hashemi