Jiaqi Guan
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
5
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Group Ligands Docking to Protein Pockets. | Jiaqi Guan, Jiahan Li, Xiangxin Zhou, Xingang Peng, Sheng Wang, Yunan Luo, Jian Peng, Jianzhu Ma |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | RECOMB | 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 |
| 2023 | ICLR | 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction. | Jiaqi Guan, Wesley Wei Qian, Xingang Peng, Yufeng Su, Jian Peng, Jianzhu Ma |
| 2023 | ICML | 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 |
| 2023 | ICML | MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation. | Xingang Peng, Jiaqi Guan, Qiang Liu, Jianzhu Ma |
| 2022 | CVPR | Equivariant Point Cloud Analysis via Learning Orientations for Message Passing. | Shitong Luo, Jiahan Li, Jiaqi Guan, Yufeng Su, Chaoran Cheng, Jian Peng, Jianzhu Ma |
| 2022 | ICLR | Energy-Inspired Molecular Conformation Optimization. | Jiaqi Guan, Wesley Wei Qian, Qiang Liu, Wei-Ying Ma, Jianzhu Ma, Jian Peng |
| 2022 | ICML | Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets. | Xingang Peng, Shitong Luo, Jiaqi Guan, Qi Xie, Jian Peng, Jianzhu Ma |
| 2020 | CVPR | Generative Hybrid Representations for Activity Forecasting With No-Regret Learning. | Jiaqi Guan, Ye Yuan, Kris M. Kitani, Nicholas Rhinehart |
| 2018 | IJCAI | Energy-efficient Amortized Inference with Cascaded Deep Classifiers. | Jiaqi Guan, Yang Liu, Qiang Liu, Jian Peng |