Yang, Yongyi

13 publications

ICLR 2025 ICLR: In-Context Learning of Representations Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana, Yongyi Yang, Maya Okawa, Kento Nishi, Martin Wattenberg, Hidenori Tanaka

JMLR 2025 Implicit vs Unfolded Graph Neural Networks Yongyi Yang, Tang Liu, Yangkun Wang, Zengfeng Huang, David Wipf

ICLRW 2025 On the Cone Effect in the Learning Dynamics Zhanpeng Zhou, Yongyi Yang, Jie Ren, Mahito Sugiyama, Junchi Yan

ICLR 2025 Swing-by Dynamics in Concept Learning and Compositional Generalization Yongyi Yang, Core Francisco Park, Ekdeep Singh Lubana, Maya Okawa, Wei Hu, Hidenori Tanaka

NeurIPSW 2024 Dynamics of Concept Learning and Compositional Generalization Yongyi Yang, Core Francisco Park, Ekdeep Singh Lubana, Maya Okawa, Wei Hu, Hidenori Tanaka

NeurIPSW 2024 HERTA: A High-Efficiency and Rigorous Training Algorithm for Unfolded Graph Neural Networks Yongyi Yang, Jiaming Yang, Wei Hu, Michal Derezinski

NeurIPSW 2024 Structured Identity Mapping Learning as a Model for Compositional Generalization in Generative Models Yongyi Yang, Core Francisco Park, Ekdeep Singh Lubana, Maya Okawa, Wei Hu, Hidenori Tanaka

ICML 2023 Are Neurons Actually Collapsed? on the Fine-Grained Structure in Neural Representations Yongyi Yang, Jacob Steinhardt, Wei Hu

NeurIPS 2023 Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity Zhanpeng Zhou, Yongyi Yang, Xiaojiang Yang, Junchi Yan, Wei Hu

NeurIPSW 2022 Are Neurons Actually Collapsed? on the Fine-Grained Structure in Neural Representations Yongyi Yang, Jacob Steinhardt, Wei Hu

NeurIPS 2022 Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks Hongjoon Ahn, Yongyi Yang, Quan Gan, Taesup Moon, David P Wipf

NeurIPS 2022 Transformers from an Optimization Perspective Yongyi Yang, Zengfeng Huang, David P Wipf

ICML 2021 Graph Neural Networks Inspired by Classical Iterative Algorithms Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf