Wenbin Zhang
24 papers · 2019–2026 · 8 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 (40) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver 𧬠Topic Evolution
π
Keyword Champion
(3)
ποΈ
Keyword Collector
(115)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Prolific
π
Renaissance Researcher
(7)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(17)
Artificial Intelligence
(13)
Core AI
(12)
Application Areas
(11)
Deep Learning
(10)
Architectures
(5)
Core Methods
(5)
Optimization & Theory Β· Machine Learning
(4)
Models
(3)
Knowledge & Reasoning
(2)
Mathematics & Optimization
(2)
Learning Paradigms
(2)
Learning Types
(2)
Optimization
(2)
Optimization & Theory Β· Deep Learning
(2)
Keywords
large language model
(5)
graph neural network
(5)
bias mitigation
(3)
fairness constraint
(3)
sensitive attribute
(3)
demographic inference
(2)
reinforcement learning
(2)
fair graph learning
(2)
group fairness
(2)
constrained optimization
(2)
algorithmic fairness
(2)
individual fairness
(2)
disentangled representation
(2)
model compression
(2)
adversarial learning
(2)
speech enhancement
(2)
mathematical reasoning
(2)
diffusion model
(2)
3d vision
(1)
autonomous driving
(1)
Papers
Fair Graph Learning with Limited Sensitive Attribute Information
AAAI 2026
FLAIR: Steering LLM Mathematical Problem Solving based on A Fuzzy-Logic-AssIsted Reasoner
ACL 2026
GUIC: Certified Graph Unlearning with Individual Fairness Guarantees
AAAI 2026
Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain
ACL 2026
Realistic Curriculum Reinforcement Learning for Autonomous and Sustainable Marine Vessel Navigation
AAAI 2026
End-to-End DOA-Guided Speech Extraction in Noisy Multi-Talker Scenarios
Interspeech 2025
Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation
EMNLP 2025
fairGNN-WOD: Fair Graph Learning Without Complete Demographics
IJCAI 2025
Fair Graph U-Net: A Fair Graph Learning Framework Integrating Group and Individual Awareness
AAAI 2025
FDGen: A Fairness-Aware Graph Generation Model
ICML 2025
Preserving AUC Fairness in Learning with Noisy Protected Groups
ICML 2025
TeDS: Joint Learning of Diachronic and Synchronic Perspectives in Quaternion Space for Temporal Knowledge Graph Completion
ICML 2025
Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment
AAAI 2025
Towards Fair Graph Learning without Demographic Information
AISTATS 2025
Towards Fairness with Limited Demographics via Disentangled Learning
IJCAI 2025
BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection
IJCAI 2024
Exploring Equation as a Better Intermediate Meaning Representation for Numerical Reasoning of Large Language Models
AAAI 2024
Fairness with Censorship: Bridging the Gap between Fairness Research and Real-World Deployment
AAAI 2024
Fine-Grained Legal Argument-Pair Extraction via Coarse-Grained Pre-training
COLING 2024
Censored Fairness through Awareness
AAAI 2023
Variance-Preserving-Based Interpolation Diffusion Models for Speech Enhancement
Interspeech 2023
Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules
EMNLP 2023
Longitudinal Fairness with Censorship
AAAI 2022
FAHT: An Adaptive Fairness-aware Decision Tree Classifier
IJCAI 2019