Xiangzhe Kong - RankMe

23 papers A* 8Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A survey of geometric graph neural networks: data structures, models and applications. Frontiers Comput. Sci. Jiaqi Han, Jiacheng Cen, Liming Wu, Zongzhao Li, Xiangzhe Kong, Rui Jiao, Ziyang Yu, Tingyang Xu, Fandi Wu, Zihe Wang, Hongteng Xu, Zhewei Wei, Deli Zhao, Yang Liu, Yu Rong, Wenbing Huang
2025	J	`jnl`	From Macro to Micro: Benchmarking Microscopic Spatial Intelligence on Molecules via Vision-Language Models. CoRR Zongzhao Li, Xiangzhe Kong, Jiahui Su, Zongyang Ma, Mingze Li, Songyou Li, Yuelin Zhang, Yu Rong, Tingyang Xu, Deli Zhao, Wenbing Huang
2025	J	`jnl`	Latent Retrieval Augmented Generation of Cross-Domain Protein Binders. CoRR Zishen Zhang, Xiangzhe Kong, Wenbing Huang, Yang Liu
2025	J	`jnl`	Peptide2Mol: A Diffusion Model for Generating Small Molecules as Peptide Mimics for Targeted Protein Binding. CoRR Xinheng He, Yijia Zhang, Haowei Lin, Xingang Peng, Xiangzhe Kong, Mingyu Li, Jianzhu Ma
2025	A*	`conf`	UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design. ICML Xiangzhe Kong, Zishen Zhang, Ziting Zhang, Rui Jiao, Jianzhu Ma, Wenbing Huang, Kai Liu, Yang Liu
2025	J	`jnl`	UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design. CoRR Xiangzhe Kong, Zishen Zhang, Ziting Zhang, Rui Jiao, Jianzhu Ma, Kai Liu, Wenbing Huang, Yang Liu
2025	A*	`conf`	Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints. ICML Dapeng Jiang, Xiangzhe Kong, Jiaqi Han, Mingyu Li, Rui Jiao, Wenbing Huang, Stefano Ermon, Jianzhu Ma, Yang Liu
2025	J	`jnl`	Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints. CoRR Dapeng Jiang, Xiangzhe Kong, Jiaqi Han, Mingyu Li, Rui Jiao, Wenbing Huang, Stefano Ermon, Jianzhu Ma, Yang Liu
2024	A*	`conf`	3D Structure Prediction of Atomic Systems with Flow-based Direct Preference Optimization. NeurIPS Rui Jiao, Xiangzhe Kong, Wenbing Huang, Yang Liu
2024	J	`jnl`	A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications. CoRR Jiaqi Han, Jiacheng Cen, Liming Wu, Zongzhao Li, Xiangzhe Kong, Rui Jiao, Ziyang Yu, Tingyang Xu, Fandi Wu, Zihe Wang, Hongteng Xu, Zhewei Wei, Yang Liu, Yu Rong, Wenbing Huang
2024	J	`jnl`	Equivariant Pretrained Transformer for Unified Geometric Learning on Multi-Domain 3D Molecules. CoRR Rui Jiao, Xiangzhe Kong, Ziyang Yu, Wenbing Huang, Yang Liu
2024	A*	`conf`	Full-Atom Peptide Design with Geometric Latent Diffusion. NeurIPS Xiangzhe Kong, Yinjun Jia, Wenbing Huang, Yang Liu
2024	A*	`conf`	Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning. ICML Xiangzhe Kong, Wenbing Huang, Yang Liu
2023	A*	`conf`	Conditional Antibody Design as 3D Equivariant Graph Translation. ICLR Xiangzhe Kong, Wenbing Huang, Yang Liu
2023	A*	`conf`	End-to-End Full-Atom Antibody Design. ICML Xiangzhe Kong, Wenbing Huang, Yang Liu
2023	J	`jnl`	End-to-End Full-Atom Antibody Design. CoRR Xiangzhe Kong, Wenbing Huang, Yang Liu
2023	J	`jnl`	Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning. CoRR Xiangzhe Kong, Wenbing Huang, Yang Liu
2022	J	`jnl`	Conditional Antibody Design as 3D Equivariant Graph Translation. CoRR Xiangzhe Kong, Wenbing Huang, Yang Liu
2022	J	`jnl`	Design of a multi-mode digital pixel with conversion data protection. IET Circuits Devices Syst. Yanhua Ma, Xiangzhe Kong, Yu-Chun Chang
2022	A*	`conf`	Molecule Generation by Principal Subgraph Mining and Assembling. NeurIPS Xiangzhe Kong, Wenbing Huang, Zhixing Tan, Yang Liu
2021	J	`jnl`	GraphPiece: Efficiently Generating High-Quality Molecular Graph with Substructures. CoRR Xiangzhe Kong, Zhixing Tan, Yang Liu
2021	—	`conf`	Stylized Story Generation with Style-Guided Planning. ACL/IJCNLP (Findings) Xiangzhe Kong, Jialiang Huang, Ziquan Tung, Jian Guan, Minlie Huang
2021	J	`jnl`	Stylized Story Generation with Style-Guided Planning. CoRR Xiangzhe Kong, Jialiang Huang, Ziquan Tung, Jian Guan, Minlie Huang