Xiangxin Zhou
18 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Cross-Pollinator (10)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(22)
π
Interdisciplinary Bridge
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Keyword Champion
(2)
π₯
Mega-Team
(29)
π
Grand Slam
π
Triple Crown
β‘
Prolific Year
(7)
π
Century Club
(18)
Conferences
ICLR (6)
ICML (6)
NIPS (4)
AAAI (1)
ACL (1)
Top co-authors
Keywords
diffusion model
(4)
molecular generation
(3)
protein-ligand binding
(2)
graph neural network
(2)
drug design
(2)
structure-based drug design
(2)
molecule generation
(2)
deep learning
(1)
robust learning
(1)
graph structure learning
(1)
generative model
(1)
foundation model
(1)
node classification
(1)
multi-modal large language model
(1)
sparse training
(1)
molecular design
(1)
task automation
(1)
antibody design
(1)
protein structure
(1)
dual-target drug
(1)
Papers
Designing Cyclic Peptides via Harmonic SDE with Atom-Bond Modeling
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
Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows
ICLR 2025
Group Ligands Docking to Protein Pockets
ICLR 2025
UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery
ICLR 2025
An All-Atom Generative Model for Designing Protein Complexes
ICML 2025
Modeling All-Atom Glycan Structures via Hierarchical Message Passing and Multi-Scale Pre-training
ICML 2025
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
Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process
ICML 2024
Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization
NIPS 2024
Binding-Adaptive Diffusion Models for Structure-Based Drug Design
AAAI 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
NIPS 2024
GSLB: The Graph Structure Learning Benchmark
NIPS 2023
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design
ICML 2023
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks
NIPS 2019