Jiaqi Guan
14 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Cross-Pollinator (10)
π
Conference Polyglot
(5)
π
Academic Marathon
(7)
πΊοΈ
Taxonomy Completionist
(22)
π€
Dynamic Duo
(12)
π
Triple Crown
π§¬
Topic Evolution
π₯
Unstoppable
(6)
ποΈ
Keyword Collector
(52)
π
Century Club
(14)
Conferences
ICLR (5)
ICML (3)
NIPS (3)
CVPR (2)
IJCAI (1)
Top co-authors
Keywords
molecular generation
(5)
drug design
(4)
graph neural network
(3)
diffusion model
(3)
molecule generation
(3)
structure-based drug design
(2)
generative model
(2)
egocentric vision
(1)
3d vision
(1)
zero-shot learning
(1)
message passing
(1)
amortized inference
(1)
no-regret learning
(1)
energy efficiency
(1)
geometric deep learning
(1)
transfer learning
(1)
deep generative model
(1)
computational cost
(1)
activity forecasting
(1)
point cloud analysis
(1)
Papers
Group Ligands Docking to Protein Pockets
ICLR 2025
Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension
ICLR 2025
Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows
ICLR 2025
Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design
NIPS 2024
MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation
ICML 2023
LinkerNet: Fragment Poses and Linker Co-Design with 3D Equivariant Diffusion
NIPS 2023
3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction
ICLR 2023
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design
ICML 2023
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
ICML 2022
Equivariant Point Cloud Analysis via Learning Orientations for Message Passing
CVPR 2022
Energy-Inspired Molecular Conformation Optimization
ICLR 2022
A 3D Generative Model for Structure-Based Drug Design
NIPS 2021
Generative Hybrid Representations for Activity Forecasting With No-Regret Learning
CVPR 2020
Energy-efficient Amortized Inference with Cascaded Deep Classifiers
IJCAI 2018