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2020 – today
- 2024
[j3]Hao Qiang
, Jiaqi Guan, Jianbo Wang, Donghui Liu:
Three-dimensional transmitter for omnidirectional wireless power transmission: design and experiment. IEICE Electron. Express 21(3): 20230561 (2024)- [i12]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 abs/2403.07902 (2024) - [i11]Xiangxin Zhou, Jiaqi Guan, Yijia Zhang, Xingang Peng, Liang Wang, Jianzhu Ma:
Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design. CoRR abs/2410.20688 (2024) - [i10]Jiahan Li, Tong Chen, Shitong Luo, Chaoran Cheng, Jiaqi Guan, Ruihan Guo, Sheng Wang, Ge Liu, Jian Peng, Jianzhu Ma:
Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension. CoRR abs/2411.18463 (2024) - 2023
- [c11]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 - [c10]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: 11827-11846 - [c9]Xingang Peng, Jiaqi Guan, Qiang Liu, Jianzhu Ma:
MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation. ICML 2023: 27611-27629 - [c8]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 - [i9]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 abs/2303.03543 (2023) - [i8]Xingang Peng, Jiaqi Guan, Qiang Liu, Jianzhu Ma:
MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation. CoRR abs/2305.07508 (2023) - 2022
- [j2]Jiaqi Guan, Min Meng, Tianyou Liang, Jigang Liu, Jigang Wu:
Dual-level contrastive learning network for generalized zero-shot learning. Vis. Comput. 38(9): 3087-3095 (2022) - [c7]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: 18910-18919 - [c6]Jiaqi Guan, Wesley Wei Qian, Qiang Liu, Wei-Ying Ma, Jianzhu Ma, Jian Peng:
Energy-Inspired Molecular Conformation Optimization. ICLR 2022 - [c5]Xingang Peng, Shitong Luo, Jiaqi Guan, Qi Xie, Jian Peng, Jianzhu Ma:
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets. ICML 2022: 17644-17655 - [i7]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 abs/2201.13299 (2022) - [i6]Shitong Luo, Jiaqi Guan, Jianzhu Ma, Jian Peng:
A 3D Molecule Generative Model for Structure-Based Drug Design. CoRR abs/2203.10446 (2022) - [i5]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 abs/2203.14486 (2022) - [i4]Xingang Peng, Shitong Luo, Jiaqi Guan, Qi Xie, Jian Peng, Jianzhu Ma:
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets. CoRR abs/2205.07249 (2022) - 2021
- [j1]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): 173-182 (2021) - [c4]Shitong Luo, Jiaqi Guan, Jianzhu Ma, Jian Peng:
A 3D Generative Model for Structure-Based Drug Design. NeurIPS 2021: 6229-6239 - 2020
- [c3]Jiaqi Guan, Ye Yuan, Kris M. Kitani, Nicholas Rhinehart:
Generative Hybrid Representations for Activity Forecasting With No-Regret Learning. CVPR 2020: 170-179
2010 – 2019
- 2019
- [i3]Jiaqi Guan, Ye Yuan, Kris M. Kitani, Nicholas Rhinehart:
Generative Hybrid Representations for Activity Forecasting with No-Regret Learning. CoRR abs/1904.06250 (2019) - 2018
- [c2]Jiaqi Guan, Runzhe Li, Sheng Yu, Xuegong Zhang:
Generation of Synthetic Electronic Medical Record Text. BIBM 2018: 374-380 - [c1]Jiaqi Guan, Yang Liu, Qiang Liu, Jian Peng:
Energy-efficient Amortized Inference with Cascaded Deep Classifiers. IJCAI 2018: 2184-2190 - [i2]Jiaqi Guan, Runzhe Li, Sheng Yu, Xuegong Zhang:
Generation of Synthetic Electronic Medical Record Text. CoRR abs/1812.02793 (2018) - 2017
- [i1]Jiaqi Guan, Yang Liu, Qiang Liu, Jian Peng:
Energy-efficient Amortized Inference with Cascaded Deep Classifiers. CoRR abs/1710.03368 (2017)
Coauthor Index
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