ZAIXI ZHANG
18 papers · 2021–2026 · 7 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
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πΊοΈ Taxonomy Completionist (36) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Grand Slam
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Keyword Champion
(2)
π€
Dynamic Duo
(13)
π
Triple Crown
β‘
Prolific Year Β· Productive
β
The Questioner
π
Century Club Β· Bronze
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Renaissance Researcher
(7)
ποΈ
Keyword Collector
(92)
Top co-authors
Research topics
Machine Learning
(15)
Deep Learning
(13)
Core Methods
(9)
Artificial Intelligence
(8)
Architectures
(8)
Application Areas
(5)
Core AI
(5)
Models
(5)
Learning Paradigms
(4)
Learning Types Β· Machine Learning
(4)
Data Science & Analytics
(2)
Healthcare & Medicine
(2)
Interdisciplinary
(2)
Applications
(2)
Learning Types Β· Deep Learning
(2)
Keywords
molecular generation
(4)
graph neural network
(4)
structure-based drug design
(3)
binding affinity
(3)
ligand binding
(3)
geometric deep learning
(2)
contrastive learning
(2)
representation learning
(2)
federated learning
(2)
self-supervised learning
(2)
flow matching
(2)
graph transformer
(2)
protein pocket
(2)
protein-ligand binding
(2)
information retrieval
(1)
text generation
(1)
stochastic gradient descent
(1)
data augmentation
(1)
knowledge distillation
(1)
causal inference
(1)
Papers
Bloom-Eval: A Hierarchical Evaluation Benchmark for Automatic Survey Generation Based on Bloomβs Taxonomy
ACL 2026
DAWN: Distributed LLM Multi-Agent Workflow Synthesis
AAAI 2026
Binding-Adaptive Diffusion Models for Structure-Based Drug Design
AAAI 2024
DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular Docking
NeurIPS 2024
FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling
NeurIPS 2024
Generalized Protein Pocket Generation with Prior-Informed Flow Matching
NeurIPS 2024
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
ICML 2024
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking
NeurIPS 2023
Backdoor Defense via Deconfounded Representation Learning
CVPR 2023
Full-Atom Protein Pocket Design via Iterative Refinement
NeurIPS 2023
Knowledge Distillation for High Dimensional Search Index
NeurIPS 2023
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design
ICML 2023
Molecule Generation For Target Protein Binding with Structural Motifs
ICLR 2023
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense
AAAI 2023
Hierarchical Graph Transformer with Adaptive Node Sampling
NeurIPS 2022
ProtGNN: Towards Self-Explaining Graph Neural Networks
AAAI 2022
GraphMI: Extracting Private Graph Data from Graph Neural Networks
IJCAI 2021
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction
NeurIPS 2021