Yizhen Luo

According to our database, Yizhen Luo authored at least 16 papers between 2021 and 2026.

Collaborative distances:

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

2026

Co-Generative De Novo Functional Protein Design.

Xinrui Chen, Yizhen Luo, Siqi Fan, Zaiqing Nie

CoRR, May, 2026

Evaluation-driven Scaling for Scientific Discovery.

Haotian Ye, Haowei Lin, Jingyi Tang, Yizhen Luo, Caiyin Yang, Chang Su, Rahul Thapa, Rui Yang, Ruihua Liu, Zeyu Li, Chong Gao, Dachao Ding, Guangrong He, Miaolei Zhang, Lina Sun, Wenyang Wang, Yuchen Zhong, Zhuohao Shen, Di He, Jianfeng Ma, Stefano Ermon, Tongyang Li, Xiaowen Chu, James Z. Wang, Yuzhi Xu

CoRR, April, 2026

Reinforced Reasoning for End-to-End Retrosynthetic Planning.

Chenyang Zuo, Siqi Fan, Yizhen Luo, Zaiqing Nie

CoRR, March, 2026

BioMedGPT: An Open Multimodal Large Language Model for BioMedicine.

Yizhen Luo, Jiahuan Zhang, Siqi Fan, Kai Yang, Massimo Hong, Yushuai Wu, Mu Qiao, Zaiqing Nie

IEEE J. Biomed. Health Informatics, February, 2026

2025

PharMolixFM: All-Atom Foundation Models for Molecular Modeling and Generation.

Yizhen Luo, Jiashuo Wang, Siqi Fan, Zaiqing Nie

CoRR, March, 2025

SToFM: a Multi-scale Foundation Model for Spatial Transcriptomics.

Suyuan Zhao, Yizhen Luo, Ganbo Yang, Yan Zhong, Hao Zhou, Zaiqing Nie

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

2024

DeepCRE: Transforming Drug R&D via AI-Driven Cross-drug Response Evaluation.

Yushuai Wu, Ting Zhang, Hao Zhou, Hainan Wu, Hanwen Sunchu, Lei Hu, Xiaofang Chen, Suyuan Zhao, Gaochao Liu, Chao Sun, Jiahuan Zhang, Yizhen Luo, Peng Liu, Zaiqing Nie

CoRR, 2024

MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering.

Yizhen Luo, Zikun Nie, Massimo Hong, Suyuan Zhao, Hao Zhou, Zaiqing Nie

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge.

Yizhen Luo, Kai Yang, Massimo Hong, Xing Yi Liu, Zikun Nie, Hao Zhou, Zaiqing Nie

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

LangCell: Language-Cell Pre-training for Cell Identity Understanding.

Suyuan Zhao, Jiahuan Zhang, Yushuai Wu, Yizhen Luo, Zaiqing Nie

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine.

Yizhen Luo, Jiahuan Zhang, Siqi Fan, Kai Yang, Yushuai Wu, Mu Qiao, Zaiqing Nie

CoRR, 2023

MolFM: A Multimodal Molecular Foundation Model.

Yizhen Luo, Kai Yang, Massimo Hong, Xing Yi Liu, Zaiqing Nie

CoRR, 2023

Empowering AI drug discovery with explicit and implicit knowledge.

Yizhen Luo, Kui Huang, Massimo Hong, Kai Yang, Jiahuan Zhang, Yushuai Wu, Zaiqing Nie

CoRR, 2023

CogDL: A Comprehensive Library for Graph Deep Learning.

Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang

Proceedings of the ACM Web Conference 2023, 2023

2022

DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection.

Haibao Yu, Yizhen Luo, Mao Shu, Yiyi Huo, Zebang Yang, Yifeng Shi, Zhenglong Guo, Hanyu Li, Xing Hu, Jirui Yuan, Zaiqing Nie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

CogDL: An Extensive Toolkit for Deep Learning on Graphs.

Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang

CoRR, 2021