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2020 – today
- 2024
[c9]Xiangxin Zhou, Jiaqi Guan, Yijia Zhang, Xingang Peng, Liang Wang, Jianzhu Ma:
Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design. NeurIPS 2024- [i7]Zian Li, Cai Zhou, Xiyuan Wang, Xingang Peng, Muhan Zhang:
Geometric Representation Condition Improves Equivariant Molecule Generation. CoRR abs/2410.03655 (2024) - [i6]Xiangxin Zhou, Jiaqi Guan, Yijia Zhang, Xingang Peng, Liang Wang, Jianzhu Ma:
Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design. CoRR abs/2410.20688 (2024) - 2023
- [j2]Xingang Peng
, Yipin Lei, Peiyuan Feng, Lemei Jia, Jianzhu Ma, Dan Zhao, Jianyang Zeng:
Characterizing the interaction conformation between T-cell receptors and epitopes with deep learning. Nat. Mac. Intell. 5(4): 395-407 (2023) - [c8]Jiaqi Guan, Wesley Wei Qian, Xingang Peng, Yufeng Su, Jian Peng, Jianzhu Ma:
3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction. ICLR 2023 - [c7]Yinan Huang, Xingang Peng, Jianzhu Ma, Muhan Zhang:
Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs. ICLR 2023 - [c6]Xingang Peng, Jiaqi Guan, Qiang Liu, Jianzhu Ma:
MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation. ICML 2023: 27611-27629 - [c5]Jiaqi Guan, Xingang Peng, Peiqi Jiang, Yunan Luo, Jian Peng, Jianzhu Ma:
LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion. NeurIPS 2023 - [i5]Jiaqi Guan, Wesley Wei Qian, Xingang Peng, Yufeng Su, Jian Peng, Jianzhu Ma:
3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction. CoRR abs/2303.03543 (2023) - [i4]Xingang Peng, Jiaqi Guan, Qiang Liu, Jianzhu Ma:
MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation. CoRR abs/2305.07508 (2023) - 2022
- [j1]Yubo Shao, Kaikai Zhao, Zhiwen Cao, Zhehao Peng, Xingang Peng, Pan Li, Yijie Wang, Jianzhu Ma:
MobilePrune: Neural Network Compression via ℓ0 Sparse Group Lasso on the Mobile System. Sensors 22(11): 4081 (2022) - [c4]Yinan Huang, Xingang Peng, Jianzhu Ma, Muhan Zhang:
3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design. ICML 2022: 9280-9294 - [c3]Xingang Peng, Shitong Luo, Jiaqi Guan, Qi Xie, Jian Peng, Jianzhu Ma:
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets. ICML 2022: 17644-17655 - [c2]Shitong Luo, Yufeng Su, Xingang Peng, Sheng Wang, Jian Peng, Jianzhu Ma:
Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures. NeurIPS 2022 - [i3]Xingang Peng, Shitong Luo, Jiaqi Guan, Qi Xie, Jian Peng, Jianzhu Ma:
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets. CoRR abs/2205.07249 (2022) - [i2]Yinan Huang, Xingang Peng, Jianzhu Ma, Muhan Zhang:
3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design. CoRR abs/2205.07309 (2022) - [i1]Yinan Huang, Xingang Peng, Jianzhu Ma, Muhan Zhang:
Boosting the Cycle Counting Power of Graph Neural Networks with I2-GNNs. CoRR abs/2210.13978 (2022)
2010 – 2019
- 2014
- [c1]Cong Li, Hongrui Zhao, Gang Fu, Xingang Peng:
3-D Reconstruction of Three Views Based on Manifold Study. IGTA 2014: 181-191
Coauthor Index
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