Kaipeng Zeng

11 papers A* 5Journal 6
YearRankTypeTitle / Venue / Authors
2025 A* conf
Optimal Flow Transport and its Entropic Regularization: a GPU-friendly Matrix Iterative Algorithm for Flow Balance Satisfaction.
ICLR
Liangliang Shi, Yufeng Li, Kaipeng Zeng, Yihui Tu, Junchi Yan
2025 A* conf
Supercharging Graph Transformers with Advective Diffusion.
ICML
Qitian Wu, Chenxiao Yang, Kaipeng Zeng, Michael M. Bronstein
2024 J jnl
Learning Chemical Reaction Representation with Reactant-Product Alignment.
CoRR
Kaipeng Zeng, Xianbin Liu, Yu Zhang, Xiaokang Yang, Yaohui Jin, Yanyan Xu
2024 A* conf
MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation.
ICML
Nianzu Yang, Kaipeng Zeng, Haotian Lu, Yexin Wu, Zexin Yuan, Danni Chen, Shengdian Jiang, Jiaxiang Wu, Yimin Wang, Junchi Yan
2024 J jnl
MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation.
CoRR
Nianzu Yang, Kaipeng Zeng, Haotian Lu, Yexin Wu, Zexin Yuan, Danni Chen, Shengdian Jiang, Jiaxiang Wu, Yimin Wang, Junchi Yan
2024 J jnl
Text-Augmented Multimodal LLMs for Chemical Reaction Condition Recommendation.
CoRR
Yu Zhang, Ruijie Yu, Kaipeng Zeng, Ding Li, Feng Zhu, Xiaokang Yang, Yaohui Jin, Yanyan Xu
2024 J jnl
UAlign: Pushing the Limit of Template-free Retrosynthesis Prediction with Unsupervised SMILES Alignment.
CoRR
Kaipeng Zeng, Bo Yang, Xin Zhao, Yu Zhang, Fan Nie, Xiaokang Yang, Yaohui Jin, Yanyan Xu
2024 J jnl
Ualign: pushing the limit of template-free retrosynthesis prediction with unsupervised SMILES alignment.
J. Cheminformatics
Kaipeng Zeng, Bo Yang, Xin Zhao, Yu Zhang, Fan Nie, Xiaokang Yang, Yaohui Jin, Yanyan Xu
2023 J jnl
Advective Diffusion Transformers for Topological Generalization in Graph Learning.
CoRR
Qitian Wu, Chenxiao Yang, Kaipeng Zeng, Fan Nie, Michael M. Bronstein, Junchi Yan
2023 A* conf
MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning.
WWW
Nianzu Yang, Kaipeng Zeng, Qitian Wu, Junchi Yan
2022 A* conf
Learning Substructure Invariance for Out-of-Distribution Molecular Representations.
NeurIPS
Nianzu Yang, Kaipeng Zeng, Qitian Wu, Xiaosong Jia, Junchi Yan