Yi Liu

According to our database, Yi Liu authored at least 28 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs.

Juncheng Wu, Wenlong Deng, Xingxuan Li, Sheng Liu, Taomian Mi, Yifan Peng, Ziyang Xu, Yi Liu, Hyunjin Cho, Changin Choi, Yihan Cao, Hui Ren, Xiang Li, Xiaoxiao Li, Yuyin Zhou

CoRR, April, 2025

A foundation model for human-AI collaboration in medical literature mining.

Zifeng Wang, Lang Cao, Qiao Jin, Joey Chan, Nicholas Wan, Behdad Afzali, Hyunjin Cho, Changin Choi, Mehdi Emamverdi, Manjot K. Gill, Sun-Hyung Kim, Yijia Li, Yi Liu, Hanley Ong, Justin F. Rousseau, Irfan Sheikh, Jenny J. Wei, Ziyang Xu, Christopher M. Zallek, Kyungsang Kim, Yifan Peng, Zhiyong Lu, Jimeng Sun

CoRR, January, 2025

Dynamic Schwartz-Fourier Neural Operator for Enhanced Expressive Power.

Wenhan Gao, Jian Luo, Ruichen Xu, Yi Liu

Trans. Mach. Learn. Res., 2025

Leveraging long context in retrieval augmented language models for medical question answering.

Gongbo Zhang, Zihan Xu, Qiao Jin, Fangyi Chen, Yilu Fang, Yi Liu, Justin F. Rousseau, Ziyang Xu, Zhiyong Lu, Chunhua Weng, Yifan Peng

npj Digit. Medicine, 2025

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.

Xuan Zhang, Limei Wang, Jacob Helwig, Youzhi Luo, Cong Fu, Yaochen Xie, Meng Liu, Yuchao Lin, Zhao Xu, Keqiang Yan, Keir Adams, Maurice Weiler, Xiner Li, Tianfan Fu, Yucheng Wang, Alex Strasser, Haiyang Yu, Yuqing Xie, Xiang Fu, Shenglong Xu, Yi Liu, Yuanqi Du, Alexandra Saxton, Hongyi Ling, Hannah Lawrence, Hannes Stärk, Shurui Gui, Carl Edwards, Nicholas Gao, Adriana Ladera, Tailin Wu, Elyssa F. Hofgard, Aria Mansouri Tehrani, Rui Wang, Ameya Daigavane, Montgomery Bohde, Jerry Kurtin, Qian Huang, Tuong Phung, Minkai Xu, Chaitanya K. Joshi, Simon V. Mathis, Kamyar Azizzadenesheli, Ada Fang, Alán Aspuru-Guzik, Erik J. Bekkers, Michael M. Bronstein, Marinka Zitnik, Anima Anandkumar, Stefano Ermon, Pietro Liò, Rose Yu, Stephan Günnemann, Jure Leskovec, Heng Ji, Jimeng Sun, Regina Barzilay, Tommi S. Jaakkola, Connor W. Coley, Xiaoning Qian, Xiaofeng Qian, Tess E. Smidt, Shuiwang Ji

Found. Trends Mach. Learn., 2025

3DGraphX: Explaining 3D Molecular Graph Models via Incorporating Chemical Priors.

Xufeng Liu, Dongsheng Luo, Wenhan Gao, Yi Liu

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Discretization-invariance? On the Discretization Mismatch Errors in Neural Operators.

Wenhan Gao, Ruichen Xu, Yuefan Deng, Yi Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Coordinate Transform Fourier Neural Operators for Symmetries in Physical Modelings.

Wenhan Gao, Ruichen Xu, Hong Wang, Yi Liu

Trans. Mach. Learn. Res., 2024

A MapReduce Approach to Effectively Utilize Long Context Information in Retrieval Augmented Language Models.

Gongbo Zhang, Zihan Xu, Qiao Jin, Fangyi Chen, Yilu Fang, Yi Liu, Justin F. Rousseau, Ziyang Xu, Zhiyong Lu, Chunhua Weng, Yifan Peng

CoRR, 2024

Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism.

Ronast Subedi, Lu Wei, Wenhan Gao, Shayok Chakraborty, Yi Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction.

Yuchao Lin, Keqiang Yan, Youzhi Luo, Yi Liu, Xiaoning Qian, Shuiwang Ji

Proceedings of the International Conference on Machine Learning, 2023

Learning Hierarchical Protein Representations via Complete 3D Graph Networks.

Limei Wang, Haoran Liu, Yi Liu, Jerry Kurtin, Shuiwang Ji

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Learning Protein Representations via Complete 3D Graph Networks.

Limei Wang, Haoran Liu, Yi Liu, Jerry Kurtin, Shuiwang Ji

CoRR, 2022

Periodic Graph Transformers for Crystal Material Property Prediction.

Keqiang Yan, Yi Liu, Yuchao Lin, Shuiwang Ji

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs.

Limei Wang, Yi Liu, Yuchao Lin, Haoran Liu, Shuiwang Ji

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Frontiers of Graph Neural Networks with DIG.

Shuiwang Ji, Meng Liu, Yi Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Zhao Xu, Haiyang Yu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Spherical Message Passing for 3D Molecular Graphs.

Yi Liu, Limei Wang, Meng Liu, Yuchao Lin, Xuan Zhang, Bora Oztekin, Shuiwang Ji

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

CleftNet: Augmented Deep Learning for Synaptic Cleft Detection From Brain Electron Microscopy.

Yi Liu, Shuiwang Ji

IEEE Trans. Medical Imaging, 2021

Topology-Aware Graph Pooling Networks.

Hongyang Gao, Yi Liu, Shuiwang Ji

IEEE Trans. Pattern Anal. Mach. Intell., 2021

DIG: A Turnkey Library for Diving into Graph Deep Learning Research.

Meng Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Hao Yuan, Shurui Gui, Haiyang Yu, Zhao Xu, Jingtun Zhang, Yi Liu, Keqiang Yan, Haoran Liu, Cong Fu, Bora Oztekin, Xuan Zhang, Shuiwang Ji

J. Mach. Learn. Res., 2021

Sent2Matrix: Folding Character Sequences in Serpentine Manifolds for Two-Dimensional Sentence.

Hongyang Gao, Yi Liu, Xuan Zhang, Shuiwang Ji

CoRR, 2021

Spherical Message Passing for 3D Graph Networks.

Yi Liu, Limei Wang, Meng Liu, Xuan Zhang, Bora Oztekin, Shuiwang Ji

CoRR, 2021

A Multi-Stage Attentive Transfer Learning Framework for Improving COVID-19 Diagnosis.

Yi Liu, Shuiwang Ji

CoRR, 2021

Machine Learning Explanations to Prevent Overtrust in Fake News Detection.

Sina Mohseni, Fan Yang, Shiva K. Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric D. Ragan

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

2020

Global Pixel Transformers for Virtual Staining of Microscopy Images.

Yi Liu, Hao Yuan, Zhengyang Wang, Shuiwang Ji

IEEE Trans. Medical Imaging, 2020

Deep Learning of High-Order Interactions for Protein Interface Prediction.

Yi Liu, Hao Yuan, Lei Cai, Shuiwang Ji

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Global Transformer U-Nets for Label-Free Prediction of Fluorescence Images.

Yi Liu, Hao Yuan, Zhengyang Wang, Shuiwang Ji

CoRR, 2019

Learning Local and Global Multi-context Representations for Document Classification.

Yi Liu, Hao Yuan, Shuiwang Ji

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019