Hongshuai Wang

According to our database, Hongshuai Wang authored at least 12 papers between 2023 and 2026.

Collaborative distances:

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

2026

NOSE: Neural Olfactory-Semantic Embedding with Tri-Modal Orthogonal Contrastive Learning.

Yanyi Su, Hongshuai Wang, Zhifeng Gao, Jun Cheng

CoRR, April, 2026

2025

Transfer learning discovery of molecular modulators for perovskite solar cells.

Haoming Yan, Xinyu Chen, Yanran Wang, Zhengchao Luo, Weizheng Huang, Hongshuai Wang, Peng Chen, Yuzhi Zhang, Weijie Sun, Jinzhuo Wang, Qihuang Gong, Rui Zhu, Lichen Zhao

CoRR, November, 2025

Unifying Polymer Modeling and Design via a Conformation-Centric Generative Foundation Model.

Fanmeng Wang, Shan Mei, Wentao Guo, Hongshuai Wang, Qi Ou, Zhifeng Gao, Hongteng Xu

CoRR, October, 2025

MolReasoner: Toward Effective and Interpretable Reasoning for Molecular LLMs.

Guojiang Zhao, Sihang Li, Zixiang Lu, Zheng Cheng, Haitao Lin, Lirong Wu, Hanchen Xia, Hengxing Cai, Wentao Guo, Hongshuai Wang, Mingjun Xu, Siyu Zhu, Guolin Ke, Linfeng Zhang, Zhifeng Gao

CoRR, August, 2025

Toward a unified benchmark and framework for deep learning-based prediction of nuclear magnetic resonance chemical shifts.

Fanjie Xu, Wentao Guo, Feng Wang, Lin Yao, Hongshuai Wang, Fujie Tang, Zhifeng Gao, Linfeng Zhang, Weinan E, Zhong-Qun Tian, Jun Cheng

Nat. Comput. Sci., April, 2025

Data-Driven Parametrization of All-Atom Force Fields for Organic Semiconductors.

Guojiang Zhao, Taiping Hu, Yingfeng Zhang, Hongshuai Wang, Lirong Wu, Shuqi Lu, Fengtianci Yang, Shangqian Chen, Zhifeng Gao, Xinyan Wang, Zheng Cheng

J. Chem. Inf. Model., 2025

SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis.

Hengxing Cai, Xiaochen Cai, Junhan Chang, Sihang Li, Lin Yao, Changxin Wang, Zhifeng Gao, Hongshuai Wang, Yongge Li, Mujie Lin, Shuwen Yang, Jiankun Wang, Mingjun Xu, Jin Huang, Xi Fang, Jiaxi Zhuang, Yuqi Yin, Yaqi Li, Changhong Chen, Zheng Cheng, Zifeng Zhao, Linfeng Zhang, Guolin Ke

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

PolyConf: Unlocking Polymer Conformation Generation through Hierarchical Generative Models.

Fanmeng Wang, Wentao Guo, Qi Ou, Hongshuai Wang, Haitao Lin, Hongteng Xu, Zhifeng Gao

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

2024

Uni-SMART: Universal Science Multimodal Analysis and Research Transformer.

Hengxing Cai, Xiaochen Cai, Shuwen Yang, Jiankun Wang, Lin Yao, Zhifeng Gao, Junhan Chang, Sihang Li, Mingjun Xu, Changxin Wang, Hongshuai Wang, Yongge Li, Mujie Lin, Yaqi Li, Yuqi Yin, Linfeng Zhang, Guolin Ke

CoRR, 2024

SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis.

Hengxing Cai, Xiaochen Cai, Junhan Chang, Sihang Li, Lin Yao, Changxin Wang, Zhifeng Gao, Hongshuai Wang, Yongge Li, Mujie Lin, Shuwen Yang, Jiankun Wang, Yuqi Yin, Yaqi Li, Linfeng Zhang, Guolin Ke

CoRR, 2024

End-to-End Crystal Structure Prediction from Powder X-Ray Diffraction.

Qingsi Lai, Lin Yao, Zhifeng Gao, Siyuan Liu, Hongshuai Wang, Shuqi Lu, Di He, Liwei Wang, Cheng Wang, Guolin Ke

CoRR, 2024

2023

Uni-QSAR: an Auto-ML Tool for Molecular Property Prediction.

Zhifeng Gao, Xiaohong Ji, Guojiang Zhao, Hongshuai Wang, Hang Zheng, Guolin Ke, Linfeng Zhang

CoRR, 2023