Generation of Synthetic Electronic Medical Record Text. - Jiaqi Guan; Runzhe Li; Sheng Yu 002; Xuegong Zhang (BIBM, 2018)

Energy-efficient Amortized Inference with Cascaded Deep Classifiers. - Jiaqi Guan; Yang Liu 097; Qiang Liu 001; Jian Peng 001 (IJCAI, 2018)

Generative Hybrid Representations for Activity Forecasting With No-Regret Learning. - Jiaqi Guan; Ye Yuan 007; Kris M. Kitani; Nicholas Rhinehart (CVPR, 2020)

A 3D Generative Model for Structure-Based Drug Design. - Shitong Luo; Jiaqi Guan; Jianzhu Ma; Jian Peng 001 (NeurIPS, 2021)

A Method for Generating Synthetic Electronic Medical Record Text. - Jiaqi Guan; Runzhe Li; Sheng Yu 002; Xuegong Zhang (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Equivariant Point Cloud Analysis via Learning Orientations for Message Passing. - Shitong Luo; Jiahan Li; Jiaqi Guan; Yufeng Su; Chaoran Cheng; Jian Peng 001; Jianzhu Ma (CVPR, 2022)

Energy-Inspired Molecular Conformation Optimization. - Jiaqi Guan; Wesley Wei Qian; Qiang Liu 001; Wei-Ying Ma; Jianzhu Ma; Jian Peng 001 (ICLR, 2022)

Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets. - Xingang Peng; Shitong Luo; Jiaqi Guan; Qi Xie; Jian Peng 001; Jianzhu Ma (ICML, 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 001; Jianzhu Ma (CoRR, 2022)

A 3D Molecule Generative Model for Structure-Based Drug Design. - Shitong Luo; Jiaqi Guan; Jianzhu Ma; Jian Peng 001 (CoRR, 2022)

Dual-level contrastive learning network for generalized zero-shot learning. - Jiaqi Guan; Min Meng 001; Tianyou Liang; Jigang Liu; Jigang Wu (Vis. Comput., 2022)

3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction. - Jiaqi Guan; Wesley Wei Qian; Xingang Peng; Yufeng Su; Jian Peng 001; Jianzhu Ma (ICLR, 2023)

DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design. - Jiaqi Guan; Xiangxin Zhou; Yuwei Yang; Yu Bao; Jian Peng 001; Jianzhu Ma; Qiang Liu 006; Liang Wang 001; Quanquan Gu (ICML, 2023)

MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation. - Xingang Peng; Jiaqi Guan; Qiang Liu 001; Jianzhu Ma (ICML, 2023)

LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion. - Jiaqi Guan; Xingang Peng; Peiqi Jiang; Yunan Luo; Jian Peng 001; Jianzhu Ma (NeurIPS, 2023)

Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design. - Xiangxin Zhou; Jiaqi Guan; Yijia Zhang; Xingang Peng; Liang Wang 001; Jianzhu Ma (NeurIPS, 2024)

Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension. - Jiahan Li; Tong Chen; Shitong Luo; Chaoran Cheng; Jiaqi Guan; Ruihan Guo; Sheng Wang 001; Ge Liu; Jian Peng 001; Jianzhu Ma (CoRR, 2024)

Three-dimensional transmitter for omnidirectional wireless power transmission: design and experiment. - Hao Qiang; Jiaqi Guan; Jianbo Wang; Donghui Liu (IEICE Electron. Express, 2024)

Group Ligands Docking to Protein Pockets. - Jiaqi Guan; Jiahan Li; Xiangxin Zhou; Xingang Peng; Sheng Wang 001; Yunan Luo; Jian Peng 001; Jianzhu Ma (ICLR, 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 (ICLR, 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 (ICLR, 2025)

Orientation-Aware Networks for Protein Structure Representation Learning. - Jiahan Li; Shitong Luo; Congyue Deng; Chaoran Cheng; Jiaqi Guan; Leonidas J. Guibas; Jian Peng 001; Jianzhu Ma (RECOMB, 2025)