Jiaqi Guan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 24

Top Topics

Diffusion Process

Pitman Yor Process

Diffusion Model

Top Venues

Publications

Hao Qiang, Jiaqi Guan, Jianbo Wang, Donghui Liu
Three-dimensional transmitter for omnidirectional wireless power transmission: design and experiment. IEICE Electron. Express 21 (3) (2024)
Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design. CoRR (2024)
Xingang Peng, Jiaqi Guan, Qiang Liu, Jianzhu Ma
MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation. CoRR (2023)
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)
Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design. ICML (2023)
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)
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 (2023)
Xingang Peng, Jiaqi Guan, Qiang Liu, Jianzhu Ma
MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation. ICML (2023)
Shitong Luo, Jiahan Li, Jiaqi Guan, Yufeng Su, Chaoran Cheng, Jian Peng, Jianzhu Ma
Equivariant Point Cloud Analysis via Learning Orientations for Message Passing. CVPR (2022)
Jiaqi Guan, Wesley Wei Qian, Qiang Liu, Wei-Ying Ma, Jianzhu Ma, Jian Peng
Energy-Inspired Molecular Conformation Optimization. ICLR (2022)
Xingang Peng, Shitong Luo, Jiaqi Guan, Qi Xie, Jian Peng, Jianzhu Ma
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets. ICML (2022)
Shitong Luo, Jiahan Li, Jiaqi Guan, Yufeng Su, Chaoran Cheng, Jian Peng, Jianzhu Ma
Equivariant Point Cloud Analysis via Learning Orientations for Message Passing. CoRR (2022)
Jiahan Li, Shitong Luo, Congyue Deng, Chaoran Cheng, Jiaqi Guan, Leonidas J. Guibas, Jian Peng, Jianzhu Ma
Directed Weight Neural Networks for Protein Structure Representation Learning. CoRR (2022)
Jiaqi Guan, Min Meng, Tianyou Liang, Jigang Liu, Jigang Wu
Dual-level contrastive learning network for generalized zero-shot learning. Vis. Comput. 38 (9) (2022)
Shitong Luo, Jiaqi Guan, Jianzhu Ma, Jian Peng
A 3D Molecule Generative Model for Structure-Based Drug Design. CoRR (2022)
Xingang Peng, Shitong Luo, Jiaqi Guan, Qi Xie, Jian Peng, Jianzhu Ma
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets. CoRR (2022)
Jiaqi Guan, Runzhe Li, Sheng Yu, Xuegong Zhang
A Method for Generating Synthetic Electronic Medical Record Text. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (1) (2021)
Shitong Luo, Jiaqi Guan, Jianzhu Ma, Jian Peng
A 3D Generative Model for Structure-Based Drug Design. NeurIPS (2021)
Jiaqi Guan, Ye Yuan, Kris M. Kitani, Nicholas Rhinehart
Generative Hybrid Representations for Activity Forecasting With No-Regret Learning. CVPR (2020)
Jiaqi Guan, Ye Yuan, Kris M. Kitani, Nicholas Rhinehart
Generative Hybrid Representations for Activity Forecasting with No-Regret Learning. CoRR (2019)
Jiaqi Guan, Runzhe Li, Sheng Yu, Xuegong Zhang
Generation of Synthetic Electronic Medical Record Text. CoRR (2018)
Jiaqi Guan, Yang Liu, Qiang Liu, Jian Peng
Energy-efficient Amortized Inference with Cascaded Deep Classifiers. IJCAI (2018)
Jiaqi Guan, Runzhe Li, Sheng Yu, Xuegong Zhang
Generation of Synthetic Electronic Medical Record Text. BIBM (2018)
Jiaqi Guan, Yang Liu, Qiang Liu, Jian Peng
Energy-efficient Amortized Inference with Cascaded Deep Classifiers. CoRR (2017)