Xiangxin Zhou
18 papers · 2019–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (29) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Champion
(6)
π
Triple Crown
π
Grand Slam
π₯
Mega-Team Β· Squad
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
π
Renaissance Researcher
(7)
ποΈ
Keyword Collector
(85)
Venues
Top co-authors
Research topics
Deep Learning
(16)
Models
(12)
Machine Learning
(11)
Architectures
(5)
Artificial Intelligence
(4)
Healthcare & Medicine
(4)
Core Methods
(4)
Learning Types Β· Machine Learning
(4)
Research
(4)
Application Areas
(3)
Optimization & Theory
(3)
Computer Vision
(2)
Core AI
(2)
Learning Paradigms
(2)
Learning Types Β· Deep Learning
(2)
Keywords
diffusion model
(8)
structure-based drug design
(6)
binding affinity
(4)
molecular generation
(3)
graph neural network
(3)
benchmark evaluation
(2)
generative model
(2)
ligand generation
(2)
molecule generation
(2)
protein-ligand binding
(2)
drug design
(2)
protein-ligand complex
(2)
protein-ligand interaction
(2)
graph structure learning
(1)
robust learning
(1)
protein design
(1)
protein structure prediction
(1)
molecular optimization
(1)
neural network pruning
(1)
deep learning
(1)
Papers
An All-Atom Generative Model for Designing Protein Complexes
ICML 2025
Designing Cyclic Peptides via Harmonic SDE with Atom-Bond Modeling
ICML 2025
Group Ligands Docking to Protein Pockets
ICLR 2025
Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows
ICLR 2025
Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training
ICML 2025
OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use
ACL 2025
ProteinBench: A Holistic Evaluation of Protein Foundation Models
ICLR 2025
UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery
ICLR 2025
Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization
NeurIPS 2024
Binding-Adaptive Diffusion Models for Structure-Based Drug Design
AAAI 2024
DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization
ICLR 2024
Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation
ICML 2024
Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models
ICLR 2024
Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design
NeurIPS 2024
Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process
ICML 2024
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design
ICML 2023
GSLB: The Graph Structure Learning Benchmark
NeurIPS 2023
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks
NeurIPS 2019