ZAIXI ZHANG
18 papers · 2021–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Cross-Pollinator (3) π§ Keyword Pioneer π Interdisciplinary Bridge π Academic Marathon (5)
π
Academic Marathon
(5)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(32)
π
Grand Slam
π
Triple Crown
π€
Dynamic Duo
(13)
π
Keyword Champion
(3)
π
Century Club
(16)
β
The Questioner
ποΈ
Keyword Collector
(77)
β‘
Prolific Year
(5)
Conferences
NIPS (8)
AAAI (4)
ICML (2)
ACL (1)
CVPR (1)
ICLR (1)
IJCAI (1)
Top co-authors
Keywords
graph neural network
(4)
molecular generation
(4)
structure-based drug design
(3)
ligand binding
(3)
federated learning
(2)
representation learning
(2)
contrastive learning
(2)
binding affinity
(2)
protein-ligand binding
(2)
self-supervised learning
(2)
flow matching
(2)
graph transformer
(2)
protein pocket
(2)
geometric deep learning
(1)
information retrieval
(1)
prototype learning
(1)
text generation
(1)
data augmentation
(1)
causal inference
(1)
knowledge distillation
(1)
Papers
DAWN: Distributed LLM Multi-Agent Workflow Synthesis
AAAI 2026
Bloom-Eval: A Hierarchical Evaluation Benchmark for Automatic Survey Generation Based on Bloomβs Taxonomy
ACL 2026
DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular Docking
NIPS 2024
Generalized Protein Pocket Generation with Prior-Informed Flow Matching
NIPS 2024
FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling
NIPS 2024
Binding-Adaptive Diffusion Models for Structure-Based Drug Design
AAAI 2024
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
ICML 2024
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense
AAAI 2023
Full-Atom Protein Pocket Design via Iterative Refinement
NIPS 2023
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking
NIPS 2023
Knowledge Distillation for High Dimensional Search Index
NIPS 2023
Backdoor Defense via Deconfounded Representation Learning
CVPR 2023
Molecule Generation For Target Protein Binding with Structural Motifs
ICLR 2023
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design
ICML 2023
ProtGNN: Towards Self-Explaining Graph Neural Networks
AAAI 2022
Hierarchical Graph Transformer with Adaptive Node Sampling
NIPS 2022
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction
NIPS 2021
GraphMI: Extracting Private Graph Data from Graph Neural Networks
IJCAI 2021