Xiang, Hongxin

11 publications

ICLR 2025 Bridging the Gap Between Database Search and \emph{De Novo} Peptide Sequencing with SearchNovo Jun Xia, Sizhe Liu, Jingbo Zhou, Shaorong Chen, Hongxin Xiang, Zicheng Liu, Yue Liu, Stan Z. Li
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
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
IJCAI 2025 Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-Task Learning Xuan Lin, Qingrui Liu, Hongxin Xiang, Daojian Zeng, Xiangxiang Zeng
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
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
NeurIPS 2025 Self-Supervised Blending Structural Context of Visual Molecules for Robust Drug Interaction Prediction Tengfei Ma, Kun Chen, Yongsheng Zang, Yujie Chen, Xuanbai Ren, Bosheng Song, Hongxin Xiang, Yiping Liu, Xiangxiang Zeng
IJCAI 2024 An Image-Enhanced Molecular Graph Representation Learning Framework Hongxin Xiang, Shuting Jin, Jun Xia, Man Zhou, Jianmin Wang, Li Zeng, Xiangxiang Zeng
NeurIPSW 2024 Bridging the Gap Between Database Search and \emph{De Novo} Peptide Sequencing with SearchNovo Jun Xia, Sizhe Liu, Jingbo Zhou, Shaorong Chen, Hongxin Xiang, Zicheng Liu, Yue Liu, 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