Kong, Xiangzhe

12 publications

NeurIPS 2025 CPSea: Large-Scale Cyclic Peptide-Protein Complex Dataset for Machine Learning in Cyclic Peptide Design Ziyi Yang, Hanyuan Xie, Yinjun Jia, Xiangzhe Kong, Jiqing Zheng, Ziting Zhang, Yang Liu, Lei Liu, Yanyan Lan

NeurIPS 2025 Latent Retrieval Augmented Generation of Cross-Domain Protein Binders Zishen Zhang, Xiangzhe Kong, Wenbing Huang, Yang Liu

ICML 2025 UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design Xiangzhe Kong, Zishen Zhang, Ziting Zhang, Rui Jiao, Jianzhu Ma, Wenbing Huang, Kai Liu, Yang Liu

ICML 2025 Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints Dapeng Jiang, Xiangzhe Kong, Jiaqi Han, Mingyu Li, Rui Jiao, Wenbing Huang, Stefano Ermon, Jianzhu Ma, Yang Liu

NeurIPS 2024 3D Structure Prediction of Atomic Systems with Flow-Based Direct Preference Optimization Rui Jiao, Xiangzhe Kong, Wenbing Huang, Yang Liu

ICLRW 2024 Equivariant Pretrained Transformer for Unified Geometric Learning on Multi-Domain 3D Molecules Rui Jiao, Xiangzhe Kong, Ziyang Yu, Wenbing Huang, Yang Liu

NeurIPS 2024 Full-Atom Peptide Design with Geometric Latent Diffusion Xiangzhe Kong, Yinjun Jia, Wenbing Huang, Yang Liu

ICML 2024 Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning Xiangzhe Kong, Wenbing Huang, Yang Liu

ICLR 2023 Conditional Antibody Design as 3D Equivariant Graph Translation Xiangzhe Kong, Wenbing Huang, Yang Liu

ICML 2023 End-to-End Full-Atom Antibody Design Xiangzhe Kong, Wenbing Huang, Yang Liu

NeurIPSW 2023 Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning Xiangzhe Kong, Wenbing Huang, Yang Liu

NeurIPS 2022 Molecule Generation by Principal Subgraph Mining and Assembling Xiangzhe Kong, Wenbing Huang, Zhixing Tan, Yang Liu