Jiaqi Guan

34 papers A* 14B 1Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning Protein Structure Representation with Orientation-Aware Networks.
J. Comput. Biol.
Jiahan Li, Shitong Luo, Congyue Deng, Chaoran Cheng, Jiaqi Guan, Leonidas J. Guibas, Jian Peng, Jianzhu Ma
2025 A* conf
Group Ligands Docking to Protein Pockets.
ICLR
Jiaqi Guan, Jiahan Li, Xiangxin Zhou, Xingang Peng, Sheng Wang, Yunan Luo, Jian Peng, Jianzhu Ma
2025 J jnl
Group Ligands Docking to Protein Pockets.
CoRR
Jiaqi Guan, Jiahan Li, Xiangxin Zhou, Xingang Peng, Sheng Wang, Yunan Luo, Jian Peng, Jianzhu Ma
2025 A* conf
Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension.
ICLR
Jiahan Li, Tong Chen, Shitong Luo, Chaoran Cheng, Jiaqi Guan, Ruihan Guo, Sheng Wang, Ge Liu, Jian Peng, Jianzhu Ma
2025 A* conf
Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows.
ICLR
Xiangxin Zhou, Yi Xiao, Haowei Lin, Xinheng He, Jiaqi Guan, Yang Wang, Qiang Liu, Feng Zhou, Liang Wang, Jianzhu Ma
2025 J jnl
Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows.
CoRR
Xiangxin Zhou, Yi Xiao, Haowei Lin, Xinheng He, Jiaqi Guan, Yang Wang, Qiang Liu, Feng Zhou, Liang Wang, Jianzhu Ma
2025 B conf
Orientation-Aware Networks for Protein Structure Representation Learning.
RECOMB
Jiahan Li, Shitong Luo, Congyue Deng, Chaoran Cheng, Jiaqi Guan, Leonidas J. Guibas, Jian Peng, Jianzhu Ma
2024 J jnl
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design.
CoRR
Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu
2024 J jnl
Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension.
CoRR
Jiahan Li, Tong Chen, Shitong Luo, Chaoran Cheng, Jiaqi Guan, Ruihan Guo, Sheng Wang, Ge Liu, Jian Peng, Jianzhu Ma
2024 A* conf
Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design.
NeurIPS
Xiangxin Zhou, Jiaqi Guan, Yijia Zhang, Xingang Peng, Liang Wang, Jianzhu Ma
2024 J jnl
Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design.
CoRR
Xiangxin Zhou, Jiaqi Guan, Yijia Zhang, Xingang Peng, Liang Wang, Jianzhu Ma
2024 J jnl
Three-dimensional transmitter for omnidirectional wireless power transmission: design and experiment.
IEICE Electron. Express
Hao Qiang, Jiaqi Guan, Jianbo Wang, Donghui Liu
2023 A* conf
3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction.
ICLR
Jiaqi Guan, Wesley Wei Qian, Xingang Peng, Yufeng Su, Jian Peng, Jianzhu Ma
2023 J jnl
3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction.
CoRR
Jiaqi Guan, Wesley Wei Qian, Xingang Peng, Yufeng Su, Jian Peng, Jianzhu Ma
2023 A* conf
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design.
ICML
Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu
2023 A* conf
LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion.
NeurIPS
Jiaqi Guan, Xingang Peng, Peiqi Jiang, Yunan Luo, Jian Peng, Jianzhu Ma
2023 A* conf
MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation.
ICML
Xingang Peng, Jiaqi Guan, Qiang Liu, Jianzhu Ma
2023 J jnl
MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation.
CoRR
Xingang Peng, Jiaqi Guan, Qiang Liu, Jianzhu Ma
2022 J jnl
A 3D Molecule Generative Model for Structure-Based Drug Design.
CoRR
Shitong Luo, Jiaqi Guan, Jianzhu Ma, Jian Peng
2022 J jnl
Directed Weight Neural Networks for Protein Structure Representation Learning.
CoRR
Jiahan Li, Shitong Luo, Congyue Deng, Chaoran Cheng, Jiaqi Guan, Leonidas J. Guibas, Jian Peng, Jianzhu Ma
2022 J jnl
Dual-level contrastive learning network for generalized zero-shot learning.
Vis. Comput.
Jiaqi Guan, Min Meng, Tianyou Liang, Jigang Liu, Jigang Wu
2022 A* conf
Energy-Inspired Molecular Conformation Optimization.
ICLR
Jiaqi Guan, Wesley Wei Qian, Qiang Liu, Wei-Ying Ma, Jianzhu Ma, Jian Peng
2022 A* conf
Equivariant Point Cloud Analysis via Learning Orientations for Message Passing.
CVPR
Shitong Luo, Jiahan Li, Jiaqi Guan, Yufeng Su, Chaoran Cheng, Jian Peng, Jianzhu Ma
2022 J jnl
Equivariant Point Cloud Analysis via Learning Orientations for Message Passing.
CoRR
Shitong Luo, Jiahan Li, Jiaqi Guan, Yufeng Su, Chaoran Cheng, Jian Peng, Jianzhu Ma
2022 A* conf
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets.
ICML
Xingang Peng, Shitong Luo, Jiaqi Guan, Qi Xie, Jian Peng, Jianzhu Ma
2022 J jnl
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets.
CoRR
Xingang Peng, Shitong Luo, Jiaqi Guan, Qi Xie, Jian Peng, Jianzhu Ma
2021 A* conf
A 3D Generative Model for Structure-Based Drug Design.
NeurIPS
Shitong Luo, Jiaqi Guan, Jianzhu Ma, Jian Peng
2021 J jnl
A Method for Generating Synthetic Electronic Medical Record Text.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jiaqi Guan, Runzhe Li, Sheng Yu, Xuegong Zhang
2020 A* conf
Generative Hybrid Representations for Activity Forecasting With No-Regret Learning.
CVPR
Jiaqi Guan, Ye Yuan, Kris M. Kitani, Nicholas Rhinehart
2019 J jnl
Generative Hybrid Representations for Activity Forecasting with No-Regret Learning.
CoRR
Jiaqi Guan, Ye Yuan, Kris M. Kitani, Nicholas Rhinehart
2018 A* conf
Energy-efficient Amortized Inference with Cascaded Deep Classifiers.
IJCAI
Jiaqi Guan, Yang Liu, Qiang Liu, Jian Peng
2018 — conf
Generation of Synthetic Electronic Medical Record Text.
BIBM
Jiaqi Guan, Runzhe Li, Sheng Yu, Xuegong Zhang
2018 J jnl
Generation of Synthetic Electronic Medical Record Text.
CoRR
Jiaqi Guan, Runzhe Li, Sheng Yu, Xuegong Zhang
2017 J jnl
Energy-efficient Amortized Inference with Cascaded Deep Classifiers.
CoRR
Jiaqi Guan, Yang Liu, Qiang Liu, Jian Peng