Fanmeng Wang （王钒锰）

Ph.D. Candidate

Gaoling School of Artificial Intelligence
Renmin University of China
Beijing, China

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 the School of Information Science and Engineering, Southeast University in June 2022.

🔬 My research focuses on data-driven machine learning, aiming to advance large language models, deep generative models, and geometric deep learning through novel neural network architectures and learning paradigms, exploring frontier applications in mathematical reasoning and scientific discovery.

✉️ Feel free to reach me for collaborations or discussions!

News

2025.09 One paper is accepted by Environmental Science & Technology
2025.05 Two papers are accepted by ICML 2025
2024.07 One paper is accepted by CIKM 2024
2023.07 One paper is accepted by CIKM 2023

Education

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

Publications

* denotes 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

Honors & Awards

2022.06 Outstanding Undergraduate Graduate, Southeast University
2019.06 First Prize, Higher Mathematics Competition in Provinces, Jiangsu

Internships

2022.07 – Present
Research Intern at DP Technology, Beijing

Working on AI4Science under the guidance of Zhifeng Gao, Shuqi Lu, and Guolin Ke.

Academic Services

Conference Reviewer

ICML
ICLR
NeurIPS
KDD
AAAI
IJCAI

Journal Reviewer

ACM Computing Surveys