Yunyang Li

According to our database, Yunyang Li authored at least 15 papers between 2011 and 2026.

Collaborative distances:

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

2026

Uncertainty Modeling for SysML v2.

Man Zhang, Yunyang Li, Tao Yue

CoRR, February, 2026

Elign: Equivariant Diffusion Model Alignment from Foundational Machine Learning Force Fields.

Yunyang Li, Lin Huang, Luojia Xia, Wenhe Zhang, Mark Gerstein

CoRR, January, 2026

E2Former-V2: On-the-Fly Equivariant Attention with Linear Activation Memory.

Lin Huang, Chengxiang Huang, Ziang Wang, Yiyue Du, Chu Wang, Haocheng Lu, Yunyang Li, Xiaoli Liu, Arthur Jiang, Jia Zhang

CoRR, January, 2026

2025

Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems.

Yunyang Li, Zaishuo Xia, Lin Huang, Xinran Wei, Han Yang, Sam Harshe, Zun Wang, Chang Liu, Jia Zhang, Bin Shao, Mark B. Gerstein

CoRR, February, 2025

Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity.

Erpai Luo, Xinran Wei, Lin Huang, Yunyang Li, Han Yang, Zun Wang, Chang Liu, Zaishuo Xia, Jia Zhang, Bin Shao

CoRR, February, 2025

E2Former: A Linear-time Efficient and Equivariant Transformer for Scalable Molecular Modeling.

Yunyang Li, Lin Huang, Zhihao Ding, Chu Wang, Xinran Wei, Han Yang, Zun Wang, Chang Liu, Yu Shi, Peiran Jin, Jia Zhang, Mark Gerstein, Tao Qin

CoRR, January, 2025

Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity.

Erpai Luo, Xinran Wei, Lin Huang, Yunyang Li, Han Yang, Zaishuo Xia, Zun Wang, Chang Liu, Bin Shao, Jia Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems.

Yunyang Li, Zaishuo Xia, Lin Huang, Xinran Wei, Samuel Harshe, Han Yang, Erpai Luo, Zun Wang, Jia Zhang, Chang Liu, Bin Shao, Mark Gerstein

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

A survey of generative AI for <i>de novo</i> drug design: new frontiers in molecule and protein generation.

Xiangru Tang, Howard Dai, Elizabeth Knight, Fang Wu, Yunyang Li, Tianxiao Li, Mark Gerstein

Briefings Bioinform., July, 2024

A Survey of Generative AI for De Novo Drug Design: New Frontiers in Molecule and Protein Generation.

Xiangru Tang, Howard Dai, Elizabeth Knight, Fang Wu, Yunyang Li, Tianxiao Li, Mark Gerstein

CoRR, 2024

Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation.

Yunyang Li, Yusong Wang, Lin Huang, Han Yang, Xinran Wei, Jia Zhang, Tong Wang, Zun Wang, Bin Shao, Tie-Yan Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2021

Extracting Moving Objects More Accurately: A CDA Contour Optimizer.

Fei Gao, Yunyang Li, Shufang Lu

IEEE Trans. Circuits Syst. Video Technol., 2021

KG4SL: knowledge graph neural network for synthetic lethality prediction in human cancers.

Shike Wang, Fan Xu, Yunyang Li, Jie Wang, Ke Zhang, Yong Liu, Min Wu, Jie Zheng

Bioinform., 2021

2018

Multi-Path Convolutional Neural Network for Distant Supervised Relation Extraction.

Yunyang Li, Zhinong Zhong, Ning Jing

Proceedings of the 2nd International Conference on Computer Science and Application Engineering, 2018

2011

SCUT-COUCH2009 - a comprehensive online unconstrained Chinese handwriting database and benchmark evaluation.

Lianwen Jin, Yan Gao, Gang Liu, Yunyang Li, Kai Ding

Int. J. Document Anal. Recognit., 2011