Du, Wenjie

18 publications

ICLR 2026 I2Mole: Interaction-Aware Invariant Molecular Learning for Generalizable Property Prediction Wenjie Du, Jiahui Zhang, Xuqiang Li, Sihan Wang, Zhengyang Zhou, Hongxin Xiang, Jun Xia, Ye Wei, Yang Wang

NeurIPS 2025 Bridging the Gap Between Cross-Domain Theory and Practical Application: A Case Study on Molecular Dissolution Sihan Wang, Wenjie Du, Qing Zhu, Yang Wang

IJCAI 2025 DO-CoLM: Dynamic 3D Conformation Relationships Capture with Self-Adaptive Ordering Molecular Relational Modeling in Language Models Zhuo Chen, Jiahui Zhang, Sihan Wang, Hongxin Xiang, Jianmin Wang, Wenjie Du, Yang Wang

IJCAI 2025 Deep Learning for Multivariate Time Series Imputation: A Survey Jun Wang, Wenjie Du, Yiyuan Yang, Linglong Qian, Wei Cao, Keli Zhang, Wenjia Wang, Yuxuan Liang, Qingsong Wen

NeurIPS 2025 Dynamic and Chemical Constraints to Enhance the Molecular Masked Graph Autoencoders Jiahui Zhang, Wenjie Du, Yang Wang

NeurIPS 2025 EDBench: Large-Scale Electron Density Data for Molecular Modeling Hongxin Xiang, Ke Li, Mingquan Liu, Zhixiang Cheng, Bin Yao, Wenjie Du, Jun Xia, Li Zeng, Xin Jin, Xiangxiang Zeng

IJCAI 2025 Electron Density-Enhanced Molecular Geometry Learning Hongxin Xiang, Jun Xia, Xin Jin, Wenjie Du, Li Zeng, Xiangxiang Zeng

ICML 2025 Enhancing Graph Invariant Learning from a Negative Inference Perspective Kuo Yang, Zhengyang Zhou, Qihe Huang, Wenjie Du, Limin Li, Wu Jiang, Yang Wang

NeurIPS 2025 Enhancing the Maximum Effective Window for Long-Term Time Series Forecasting Jiahui Zhang, Zhengyang Zhou, Wenjie Du, Yang Wang

NeurIPS 2025 Integrating Drug Substructures and Longitudinal Electronic Health Records for Personalized Drug Recommendation Wenjie Du, Xuqiang Li, Jinke Feng, Shuai Zhang, Wen Zhang, Yang Wang

ICLR 2025 Iterative Substructure Extraction for Molecular Relational Learning with Interactive Graph Information Bottleneck Shuai Zhang, Junfeng Fang, Xuqiang Li, Hongxin Xiang, Alan Xia, Ye Wei, Wenjie Du, Yang Wang

IJCAI 2025 MTGIB-UNet: A Multi-Task Graph Information Bottleneck and Uncertainty Weighted Network for ADMET Prediction Xuqiang Li, Wenjie Du, Jun Xia, Jianmin Wang, Xiaoqi Wang, Yang Yang, Yang Wang

NeurIPS 2025 ModuLM: Enabling Modular and Multimodal Molecular Relational Learning with Large Language Models Zhuo Chen, Yizhen Zheng, Huan Yee Koh, Hongxin Xiang, Linjiang Chen, Wenjie Du, Yang Wang

ICLR 2025 ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing Shaorong Chen, Jun Xia, Jingbo Zhou, Lecheng Zhang, Zhangyang Gao, Bozhen Hu, Cheng Tan, Wenjie Du, Stan Z. Li

NeurIPS 2024 AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics Against Data Biases Jun Xia, Shaorong Chen, Jingbo Zhou, Xiaojun Shan, Wenjie Du, Zhangyang Gao, Cheng Tan, Bozhen Hu, Jiangbin Zheng, Stan Z. Li

NeurIPS 2024 FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning Sizhe Liu, Jun Xia, Lecheng Zhang, Yuchen Liu, Yue Liu, Wenjie Du, Zhangyang Gao, Bozhen Hu, Cheng Tan, Hongxin Xiang, Stan Z. Li

IJCAI 2024 MMGNN: A Molecular Merged Graph Neural Network for Explainable Solvation Free Energy Prediction Wenjie Du, Shuai Zhang, Di Wu, Jun Xia, Ziyuan Zhao, Junfeng Fang, Yang Wang

NeurIPS 2024 NovoBench: Benchmarking Deep Learning-Based \emph{De Novo} Sequencing Methods in Proteomics Jingbo Zhou, Shaorong Chen, Jun Xia, Sizhe Liu, Tianze Ling, Wenjie Du, Yue Liu, Jianwei Yin, Stan Z. Li