Yi Liu - RankMe

42 papers A* 11A 1Journal 28Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CPGPrompt: Translating Clinical Guidelines into LLM-Executable Decision Support. CoRR Ruiqi Deng, Geoffrey Martin, Tony Wang, Gongbo Zhang, Yi Liu, Chunhua Weng, Yanshan Wang, Justin F. Rousseau, Yifan Peng
2025	—	`conf`	3DGraphX: Explaining 3D Molecular Graph Models via Incorporating Chemical Priors. KDD (1) Xufeng Liu, Dongsheng Luo, Wenhan Gao, Yi Liu
2025	J	`jnl`	A foundation model for human-AI collaboration in medical literature mining. CoRR 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
2025	J	`jnl`	Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. Found. Trends Mach. Learn. 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
2025	J	`jnl`	Can Data-Driven Dynamics Reveal Hidden Physics? There Is A Need for Interpretable Neural Operators. CoRR Wenhan Gao, Jian Luo, Fang Wan, Ruichen Xu, Xiang Liu, Haipeng Xing, Yi Liu
2025	A*	`conf`	Discretization-invariance? On the Discretization Mismatch Errors in Neural Operators. ICLR Wenhan Gao, Ruichen Xu, Yuefan Deng, Yi Liu
2025	J	`jnl`	Dynamic Schwartz-Fourier Neural Operator for Enhanced Expressive Power. Trans. Mach. Learn. Res. Wenhan Gao, Jian Luo, Ruichen Xu, Yi Liu
2025	J	`jnl`	Leveraging long context in retrieval augmented language models for medical question answering. npj Digit. Medicine Gongbo Zhang, Zihan Xu, Qiao Jin, Fangyi Chen, Yilu Fang, Yi Liu, Justin F. Rousseau, Ziyang Xu, Zhiyong Lu, Chunhua Weng, Yifan Peng
2025	J	`jnl`	MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs. CoRR 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
2025	A*	`conf`	RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation. ICML Jingxiang Qu, Wenhan Gao, Jiaxing Zhang, Xufeng Liu, Hua Wei, Haibin Ling, Yi Liu
2025	J	`jnl`	RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation. CoRR Jingxiang Qu, Wenhan Gao, Jiaxing Zhang, Xufeng Liu, Hua Wei, Haibin Ling, Yi Liu
2025	—	`conf`	RL-Guider: Leveraging Historical Decisions and Feedback for Drug Editing with Large Language Models. ACL (Findings) Xufeng Liu, Yixuan Ding, Jingxiang Qu, Yichi Zhang, Wenhan Gao, Yi Liu
2024	J	`jnl`	A MapReduce Approach to Effectively Utilize Long Context Information in Retrieval Augmented Language Models. CoRR Gongbo Zhang, Zihan Xu, Qiao Jin, Fangyi Chen, Yilu Fang, Yi Liu, Justin F. Rousseau, Ziyang Xu, Zhiyong Lu, Chunhua Weng, Yifan Peng
2024	J	`jnl`	Coordinate Transform Fourier Neural Operators for Symmetries in Physical Modelings. Trans. Mach. Learn. Res. Wenhan Gao, Ruichen Xu, Hong Wang, Yi Liu
2024	A*	`conf`	Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism. NeurIPS Ronast Subedi, Lu Wei, Wenhan Gao, Shayok Chakraborty, Yi Liu
2023	J	`jnl`	Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems. CoRR 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, Haiyang Yu, Yuqing Xie, Xiang Fu, Alex Strasser, 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
2023	A*	`conf`	Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction. ICML Yuchao Lin, Keqiang Yan, Youzhi Luo, Yi Liu, Xiaoning Qian, Shuiwang Ji
2023	J	`jnl`	Efficient Approximations of Complete Interatomic Potentials for Crystal Property Prediction. CoRR Yuchao Lin, Keqiang Yan, Youzhi Luo, Yi Liu, Xiaoning Qian, Shuiwang Ji
2023	A*	`conf`	Learning Hierarchical Protein Representations via Complete 3D Graph Networks. ICLR Limei Wang, Haoran Liu, Yi Liu, Jerry Kurtin, Shuiwang Ji
2022	A*	`conf`	ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs. NeurIPS Limei Wang, Yi Liu, Yuchao Lin, Haoran Liu, Shuiwang Ji
2022	J	`jnl`	ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs. CoRR Limei Wang, Yi Liu, Yuchao Lin, Haoran Liu, Shuiwang Ji
2022	A*	`conf`	Frontiers of Graph Neural Networks with DIG. KDD Shuiwang Ji, Meng Liu, Yi Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Zhao Xu, Haiyang Yu
2022	J	`jnl`	Learning Protein Representations via Complete 3D Graph Networks. CoRR Limei Wang, Haoran Liu, Yi Liu, Jerry Kurtin, Shuiwang Ji
2022	A*	`conf`	Periodic Graph Transformers for Crystal Material Property Prediction. NeurIPS Keqiang Yan, Yi Liu, Yuchao Lin, Shuiwang Ji
2022	J	`jnl`	Periodic Graph Transformers for Crystal Material Property Prediction. CoRR Keqiang Yan, Yi Liu, Yuchao Lin, Shuiwang Ji
2022	A*	`conf`	Spherical Message Passing for 3D Molecular Graphs. ICLR Yi Liu, Limei Wang, Meng Liu, Yuchao Lin, Xuan Zhang, Bora Oztekin, Shuiwang Ji
2021	J	`jnl`	A Multi-Stage Attentive Transfer Learning Framework for Improving COVID-19 Diagnosis. CoRR Yi Liu, Shuiwang Ji
2021	J	`jnl`	CleftNet: Augmented Deep Learning for Synaptic Cleft Detection From Brain Electron Microscopy. IEEE Trans. Medical Imaging Yi Liu, Shuiwang Ji
2021	J	`jnl`	CleftNet: Augmented Deep Learning for Synaptic Cleft Detection from Brain Electron Microscopy. CoRR Yi Liu, Shuiwang Ji
2021	J	`jnl`	DIG: A Turnkey Library for Diving into Graph Deep Learning Research. CoRR Meng Liu, Youzhi Luo, Limei Wang, Yaochen Xie, Hao Yuan, Shurui Gui, Zhao Xu, Haiyang Yu, Jingtun Zhang, Yi Liu, Keqiang Yan, Bora Oztekin, Haoran Liu, Xuan Zhang, Cong Fu, Shuiwang Ji
2021	J	`jnl`	DIG: A Turnkey Library for Diving into Graph Deep Learning Research. J. Mach. Learn. Res. 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
2021	A	`conf`	Machine Learning Explanations to Prevent Overtrust in Fake News Detection. ICWSM Sina Mohseni, Fan Yang, Shiva K. Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric D. Ragan
2021	J	`jnl`	Sent2Matrix: Folding Character Sequences in Serpentine Manifolds for Two-Dimensional Sentence. CoRR Hongyang Gao, Yi Liu, Xuan Zhang, Shuiwang Ji
2021	J	`jnl`	Spherical Message Passing for 3D Graph Networks. CoRR Yi Liu, Limei Wang, Meng Liu, Xuan Zhang, Bora Oztekin, Shuiwang Ji
2021	J	`jnl`	Topology-Aware Graph Pooling Networks. IEEE Trans. Pattern Anal. Mach. Intell. Hongyang Gao, Yi Liu, Shuiwang Ji
2020	A*	`conf`	Deep Learning of High-Order Interactions for Protein Interface Prediction. KDD Yi Liu, Hao Yuan, Lei Cai, Shuiwang Ji
2020	J	`jnl`	Deep Learning of High-Order Interactions for Protein Interface Prediction. CoRR Yi Liu, Hao Yuan, Lei Cai, Shuiwang Ji
2020	J	`jnl`	Global Pixel Transformers for Virtual Staining of Microscopy Images. IEEE Trans. Medical Imaging Yi Liu, Hao Yuan, Zhengyang Wang, Shuiwang Ji
2020	J	`jnl`	Machine Learning Explanations to Prevent Overtrust in Fake News Detection. CoRR Sina Mohseni, Fan Yang, Shiva K. Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric D. Ragan
2020	J	`jnl`	Topology-Aware Graph Pooling Networks. CoRR Hongyang Gao, Yi Liu, Shuiwang Ji
2019	J	`jnl`	Global Transformer U-Nets for Label-Free Prediction of Fluorescence Images. CoRR Yi Liu, Hao Yuan, Zhengyang Wang, Shuiwang Ji
2019	A*	`conf`	Learning Local and Global Multi-context Representations for Document Classification. ICDM Yi Liu, Hao Yuan, Shuiwang Ji