Wenbin Hu
24 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π§ Keyword Pioneer π Academic Marathon (7)
π
Renaissance Researcher
(10)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(11)
π€
Dynamic Duo
(11)
β‘
Prolific Year
(5)
β
The Questioner
ποΈ
Keyword Collector
(106)
π
Century Club
(21)
Conferences
IJCAI (12)
AAAI (3)
ACL (3)
EMNLP (3)
IJCNLP (1)
MICCAI (1)
NIPS (1)
Top co-authors
Research topics
Keywords
legal compliance
(3)
graph neural network
(3)
contextual integrity
(3)
network embedding
(3)
contrastive learning
(2)
multi-task learning
(2)
task variance regularization
(2)
privacy compliance
(2)
large language model
(2)
drug response prediction
(2)
graph pooling
(2)
text classification
(2)
ai safety
(2)
attention mechanism
(2)
representation learning
(2)
graph embedding
(2)
graph transformer
(2)
graph classification
(1)
matrix factorization
(1)
zero-shot learning
(1)
Papers
Can Molecular Evolution Mechanism Enhance Molecular Representation?
AAAI 2026
ContextLens: Modeling Imperfect Privacy and Safety Context for Legal Compliance
ACL 2026
Sequence-Free for Compound Protein Interaction Prediction
AAAI 2026
MCIP: Protecting MCP Safety via Model Contextual Integrity Protocol
EMNLP 2025
PrivaCI-Bench: Evaluating Privacy with Contextual Integrity and Legal Compliance
ACL 2025
Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement Learning
EMNLP 2025
Brain Wiring Knowledge Graph Reasoning: A Region Embedding Approach for Logical Neuronal Relation Inference
MICCAI 2025
Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding
IJCAI 2025
Gradformer: Graph Transformer with Exponential Decay
IJCAI 2024
Contrastive Learning Drug Response Models from Natural Language Supervision
IJCAI 2024
Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
IJCAI 2024
Mitigating the Alignment Tax of RLHF
EMNLP 2024
Zero-shot Learning for Preclinical Drug Screening
IJCAI 2024
Gapformer: Graph Transformer with Graph Pooling for Node Classification
IJCAI 2023
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities
IJCAI 2023
Object-Centric Representation Learning with Generative Spatial-Temporal Factorization
NIPS 2021
BanditMTL: Bandit-based Multi-task Learning for Text Classification
IJCNLP 2021
BanditMTL: Bandit-based Multi-task Learning for Text Classification
ACL 2021
Temporal Network Embedding with High-Order Nonlinear Information
AAAI 2020
Deep Learning for Community Detection: Progress, Challenges and Opportunities
IJCAI 2020
Opinion Maximization in Social Trust Networks
IJCAI 2020
FSM: A Fast Similarity Measurement for Gene Regulatory Networks via Genes' Influence Power
IJCAI 2019
Noise-Resilient Similarity Preserving Network Embedding for Social Networks
IJCAI 2019
Self-Representative Manifold Concept Factorization with Adaptive Neighbors for Clustering
IJCAI 2018