Fanmeng Wang (王钒锰)

About Me

🎓 I am currently a fourth-year Ph.D. candidate at Gaoling School of Artificial Intelligence, Renmin University of China, under the supervision of Prof. Hongteng Xu. Before that, I received my B.E. degree from School of Information Science and Engineering, Southeast University in June 2022.
🔬 My research focuses on structured data-oriented machine learning and its applications. In particular, I am very interested in geometric deep learning, graph representation learning, and AI4Science.
✉️ Feel free to reach me for collaborations or discussions!

[2025.09] 🎉 One co-first-authored paper (ToxScan) is accepted by Environmental Science & Technology.
[2025.05] 🎉🎉 Two papers (PolyConf, WGFormer) are accepted by ICML 2025.
[2024.07] 🎉 One paper (MMPolymer) is accepted by CIKM 2024.
[2023.07] 🎉 One paper (MPerformer) is accepted by CIKM 2023.

[2022.09-Present] Ph.D. at Gaoling School of Artificial Intelligence, Renmin University of China.
[2018.09-2022.06] B.E. at School of Information Science and Engineering, Southeast University.

* Equal Contribution

PolyConf: Unlocking Polymer Conformation Generation through Hierarchical Generative Models
Fanmeng Wang, Wentao Guo, Qi Ou, Hongshuai Wang, Haitao Lin, Hongteng Xu, Zhifeng Gao
International Conference on Machine Learning (ICML), 2025
[Project] [Paper] [Code] [Demo]
WGFormer: An SE(3)-Transformer Driven by Wasserstein Gradient Flows for Molecular Ground-State Conformation Prediction
Fanmeng Wang, Minjie Cheng, Hongteng Xu
International Conference on Machine Learning (ICML), 2025
[Paper] [Code]
MMPolymer: A Multimodal Multitask Pretraining Framework for Polymer Property Prediction
Fanmeng Wang, Wentao Guo, Minjie Cheng, Shen Yuan, Hongteng Xu, Zhifeng Gao
ACM International Conference on Information and Knowledge Management (CIKM), 2024
[Paper] [Code] [Demo]
MPerformer: An SE(3) Transformer-based Molecular Perceptron
Fanmeng Wang, Hongteng Xu, Xi Chen, Shuqi Lu, Yuqing Deng, Wenbing Huang
ACM International Conference on Information and Knowledge Management (CIKM), 2023
[Paper] [Code] [Demo]
Multiscale-Information-Embedded Universal Toxicity Prediction Framework
Lianlian Wu*, Fanmeng Wang*, Yixin Zhang*, Ruijiang Li, Yanpeng Zhao, Hongteng Xu, Zhifeng Gao, Song He, Xiaochen Bo
Environmental Science & Technology (ES&T), 2025
[Paper] [Code] [Demo]

2022.07 - Present
- DP Technology, Beijing, China
- Research Intern, working on AI4Science
- Under the guidance of Zhifeng Gao, Shuqi Lu and Guolin Ke

Updated on Sep. 29, 2025 (UTC+8)