Xiangzhe Kong

Orcid: 0009-0005-8268-5465

According to our database1, Xiangzhe Kong authored at least 19 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network.
CoRR, April, 2026

Short-Term Natural Gas Load Forecasting Using a New Informer Framework Based on Temporal Kolmogorov-Arnold Networks.
IEEE Access, 2026

2025
From Macro to Micro: Benchmarking Microscopic Spatial Intelligence on Molecules via Vision-Language Models.
CoRR, December, 2025

A survey of geometric graph neural networks: data structures, models and applications.
Frontiers Comput. Sci., November, 2025

Peptide2Mol: A Diffusion Model for Generating Small Molecules as Peptide Mimics for Targeted Protein Binding.
CoRR, November, 2025

Latent Retrieval Augmented Generation of Cross-Domain Protein Binders.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications.
CoRR, 2024

Equivariant Pretrained Transformer for Unified Geometric Learning on Multi-Domain 3D Molecules.
CoRR, 2024

Full-Atom Peptide Design with Geometric Latent Diffusion.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

3D Structure Prediction of Atomic Systems with Flow-based Direct Preference Optimization.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
End-to-End Full-Atom Antibody Design.
Proceedings of the International Conference on Machine Learning, 2023

Conditional Antibody Design as 3D Equivariant Graph Translation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Design of a multi-mode digital pixel with conversion data protection.
IET Circuits Devices Syst., 2022

Molecule Generation by Principal Subgraph Mining and Assembling.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
GraphPiece: Efficiently Generating High-Quality Molecular Graph with Substructures.
CoRR, 2021

Stylized Story Generation with Style-Guided Planning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021


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