Stylized Story Generation with Style-Guided Planning. - Xiangzhe Kong; Jialiang Huang; Ziquan Tung; Jian Guan 002; Minlie Huang (ACL/IJCNLP (Findings), 2021)

GraphPiece: Efficiently Generating High-Quality Molecular Graph with Substructures. - Xiangzhe Kong; Zhixing Tan; Yang Liu 005 (CoRR, 2021)

Molecule Generation by Principal Subgraph Mining and Assembling. - Xiangzhe Kong; Wenbing Huang 001; Zhixing Tan; Yang Liu 005 (NeurIPS, 2022)

Design of a multi-mode digital pixel with conversion data protection. - Yanhua Ma; Xiangzhe Kong; Yu-Chun Chang (IET Circuits Devices Syst., 2022)

Conditional Antibody Design as 3D Equivariant Graph Translation. - Xiangzhe Kong; Wenbing Huang 001; Yang Liu 005 (ICLR, 2023)

End-to-End Full-Atom Antibody Design. - Xiangzhe Kong; Wenbing Huang 001; Yang Liu 005 (ICML, 2023)

Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning. - Xiangzhe Kong; Wenbing Huang 001; Yang Liu 005 (ICML, 2024)

3D Structure Prediction of Atomic Systems with Flow-based Direct Preference Optimization. - Rui Jiao; Xiangzhe Kong; Wenbing Huang 001; Yang Liu 005 (NeurIPS, 2024)

Full-Atom Peptide Design with Geometric Latent Diffusion. - Xiangzhe Kong; Yinjun Jia; Wenbing Huang 001; Yang Liu 005 (NeurIPS, 2024)

Equivariant Pretrained Transformer for Unified Geometric Learning on Multi-Domain 3D Molecules. - Rui Jiao; Xiangzhe Kong; Ziyang Yu 002; Wenbing Huang 001; Yang Liu 005 (CoRR, 2024)

A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications. - Jiaqi Han; Jiacheng Cen; Liming Wu; Zongzhao Li; Xiangzhe Kong; Rui Jiao; Ziyang Yu 002; Tingyang Xu; Fandi Wu; Zihe Wang; Hongteng Xu; Zhewei Wei; et al. (CoRR, 2024)

UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design. - Xiangzhe Kong; Zishen Zhang; Ziting Zhang; Rui Jiao; Jianzhu Ma; Kai Liu; Wenbing Huang 001; Yang Liu 005 (CoRR, 2025)

Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints. - Dapeng Jiang; Xiangzhe Kong; Jiaqi Han; Mingyu Li; Rui Jiao; Wenbing Huang 001; Stefano Ermon; Jianzhu Ma; Yang Liu 005 (CoRR, 2025)

A survey of geometric graph neural networks: data structures, models and applications. - Jiaqi Han; Jiacheng Cen; Liming Wu; Zongzhao Li; Xiangzhe Kong; Rui Jiao; Ziyang Yu 002; Tingyang Xu; Fandi Wu; Zihe Wang; Hongteng Xu; Zhewei Wei; et al. (Frontiers Comput. Sci., 2025)