Zeng, Xiangxiang

15 publications

ICML 2025 An All-Atom Generative Model for Designing Protein Complexes Ruizhe Chen, Dongyu Xue, Xiangxin Zhou, Zaixiang Zheng, Xiangxiang Zeng, Quanquan Gu

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

AAAI 2025 Multi-Objective Molecular Design Through Learning Latent Pareto Set Yiping Liu, Jiahao Yang, Xuanbai Ren, Xinyi Zhang, Yuansheng Liu, Bosheng Song, Xiangxiang Zeng, Hisao Ishibuchi

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

AAAI 2025 S²DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion Tengfei Ma, Yujie Chen, Liang Wang, Xuan Lin, Bosheng Song, Xiangxiang Zeng

ICLR 2025 Towards Synergistic Path-Based Explanations for Knowledge Graph Completion: Exploration and Evaluation Tengfei Ma, Xiang Song, Wen Tao, Mufei Li, Jiani Zhang, Xiaoqin Pan, Yijun Wang, Bosheng Song, 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

ICML 2023 Adaptive Compositional Continual Meta-Learning Bin Wu, Jinyuan Fang, Xiangxiang Zeng, Shangsong Liang, Qiang Zhang

NeurIPSW 2023 Amalga: Designable Protein Backbone Generation with Folding and Inverse Folding Guidance Shugao Chen, Ziyao Li, Xiangxiang Zeng, Guolin Ke

IJCAI 2023 GPMO: Gradient Perturbation-Based Contrastive Learning for Molecule Optimization Xixi Yang, Li Fu, Yafeng Deng, Yuansheng Liu, Dongsheng Cao, Xiangxiang Zeng

AAAI 2023 LagNet: Deep Lagrangian Mechanics for Plug-and-Play Molecular Representation Learning Chunyan Li, Junfeng Yao, Jinsong Su, Zhaoyang Liu, Xiangxiang Zeng, Chenxi Huang

IJCAI 2023 Totally Dynamic Hypergraph Neural Networks Peng Zhou, Zongqian Wu, Xiangxiang Zeng, Guoqiu Wen, Junbo Ma, Xiaofeng Zhu

IJCAI 2020 KGNN: Knowledge Graph Neural Network for Drug-Drug Interaction Prediction Xuan Lin, Zhe Quan, Zhi-Jie Wang, Tengfei Ma, Xiangxiang Zeng