Jiaqi Guan

According to our database, Jiaqi Guan authored at least 25 papers between 2018 and 2026.

Collaborative distances:

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

2026

ProtDBench: A Unified Benchmark of Protein Binder Design and Evaluation.

Cong Liu, Milong Ren, Jiaqi Guan, Chengyue Gong, Jinyuan Sun, Xinshi Chen, Wenzhi Xiao

CoRR, May, 2026

A-CODE: Fully Atomic Protein Co-Design with Unified Multimodal Diffusion.

Chaoran Cheng, Jiaqi Guan, Milong Ren, Chengyue Gong, Cong Liu, Xinshi Chen, Ge Liu, Wenzhi Xiao

CoRR, May, 2026

Learning Protein Structure Representation with Orientation-Aware Networks.

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

J. Comput. Biol., 2026

2025

Orientation-Aware Networks for Protein Structure Representation Learning.

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

Proceedings of the Research in Computational Molecular Biology, 2025

Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows.

Xiangxin Zhou, Yi Xiao, Haowei Lin, Xinheng He, Jiaqi Guan, Yang Wang, Qiang Liu, Feng Zhou, Liang Wang, Jianzhu Ma

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension.

Jiahan Li, Tong Chen, Shitong Luo, Chaoran Cheng, Jiaqi Guan, Ruihan Guo, Sheng Wang, Ge Liu, Jian Peng, Jianzhu Ma

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Group Ligands Docking to Protein Pockets.

Jiaqi Guan, Jiahan Li, Xiangxin Zhou, Xingang Peng, Sheng Wang, Yunan Luo, Jian Peng, Jianzhu Ma

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Three-dimensional transmitter for omnidirectional wireless power transmission: design and experiment.

Hao Qiang, Jiaqi Guan, Jianbo Wang, Donghui Liu

IEICE Electron. Express, 2024

Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension.

Jiahan Li, Tong Chen, Shitong Luo, Chaoran Cheng, Jiaqi Guan, Ruihan Guo, Sheng Wang, Ge Liu, Jian Peng, Jianzhu Ma

CoRR, 2024

Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design.

Xiangxin Zhou, Jiaqi Guan, Yijia Zhang, Xingang Peng, Liang Wang, Jianzhu Ma

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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