Jiaqi Guan

According to our database, Jiaqi Guan authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design.

Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu

CoRR, 2024

2023

LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion.

Jiaqi Guan, Xingang Peng, Peiqi Jiang, Yunan Luo, Jian Peng, Jianzhu Ma

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation.

Xingang Peng, Jiaqi Guan, Qiang Liu, Jianzhu Ma

Proceedings of the International Conference on Machine Learning, 2023

DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design.

Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu

Proceedings of the International Conference on Machine Learning, 2023

3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction.

Jiaqi Guan, Wesley Wei Qian, Xingang Peng, Yufeng Su, Jian Peng, Jianzhu Ma

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Dual-level contrastive learning network for generalized zero-shot learning.

Jiaqi Guan, Min Meng, Tianyou Liang, Jigang Liu, Jigang Wu

Vis. Comput., 2022

A 3D Molecule Generative Model for Structure-Based Drug Design.

Shitong Luo, Jiaqi Guan, Jianzhu Ma, Jian Peng

CoRR, 2022

Directed Weight Neural Networks for Protein Structure Representation Learning.

Jiahan Li, Shitong Luo, Congyue Deng, Chaoran Cheng, Jiaqi Guan, Leonidas J. Guibas, Jian Peng, Jianzhu Ma

CoRR, 2022

Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets.

Xingang Peng, Shitong Luo, Jiaqi Guan, Qi Xie, Jian Peng, Jianzhu Ma

Proceedings of the International Conference on Machine Learning, 2022

Energy-Inspired Molecular Conformation Optimization.

Jiaqi Guan, Wesley Wei Qian, Qiang Liu, Wei-Ying Ma, Jianzhu Ma, Jian Peng

Proceedings of the Tenth International Conference on Learning Representations, 2022

Equivariant Point Cloud Analysis via Learning Orientations for Message Passing.

Shitong Luo, Jiahan Li, Jiaqi Guan, Yufeng Su, Chaoran Cheng, Jian Peng, Jianzhu Ma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

A Method for Generating Synthetic Electronic Medical Record Text.

Jiaqi Guan, Runzhe Li, Sheng Yu, Xuegong Zhang

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

A 3D Generative Model for Structure-Based Drug Design.

Shitong Luo, Jiaqi Guan, Jianzhu Ma, Jian Peng

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Generative Hybrid Representations for Activity Forecasting With No-Regret Learning.

Jiaqi Guan, Ye Yuan, Kris M. Kitani, Nicholas Rhinehart

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

Energy-efficient Amortized Inference with Cascaded Deep Classifiers.

Jiaqi Guan, Yang Liu, Qiang Liu, Jian Peng

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Generation of Synthetic Electronic Medical Record Text.

Jiaqi Guan, Runzhe Li, Sheng Yu, Xuegong Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018