Wenbin Zhang
23 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (7) 🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (11)
🌍
Conference Polyglot
(7)
🏃
Academic Marathon
(6)
🏆
Keyword Champion
(2)
🗃️
Keyword Collector
(86)
💎
Century Club
(18)
🔥
Unstoppable
(5)
⚡
Prolific Year
(9)
Conferences
AAAI (9)
IJCAI (4)
ICML (3)
ACL (2)
EMNLP (2)
AISTATS (1)
COLING (1)
INTERSPEECH (1)
Top co-authors
Keywords
large language model
(5)
graph neural network
(4)
fairness constraint
(3)
sensitive attribute
(3)
reinforcement learning
(2)
mathematical reasoning
(2)
constrained optimization
(2)
algorithmic fairness
(2)
individual fairness
(2)
bias mitigation
(2)
model compression
(2)
group fairness
(2)
fair graph learning
(2)
diffusion model
(2)
adversarial learning
(2)
graph representation
(1)
3d vision
(1)
curriculum learning
(1)
autonomous driving
(1)
content moderation
(1)
Papers
Realistic Curriculum Reinforcement Learning for Autonomous and Sustainable Marine Vessel Navigation
AAAI 2026
Fair Graph Learning with Limited Sensitive Attribute Information
AAAI 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
FLAIR: Steering LLM Mathematical Problem Solving based on A Fuzzy-Logic-AssIsted Reasoner
ACL 2026
TeDS: Joint Learning of Diachronic and Synchronic Perspectives in Quaternion Space for Temporal Knowledge Graph Completion
ICML 2025
FDGen: A Fairness-Aware Graph Generation Model
ICML 2025
Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment
AAAI 2025
Fair Graph U-Net: A Fair Graph Learning Framework Integrating Group and Individual Awareness
AAAI 2025
Towards Fair Graph Learning without Demographic Information
AISTATS 2025
Exploring the Vulnerability of the Content Moderation Guardrail in Large Language Models via Intent Manipulation
EMNLP 2025
Preserving AUC Fairness in Learning with Noisy Protected Groups
ICML 2025
fairGNN-WOD: Fair Graph Learning Without Complete Demographics
IJCAI 2025
Towards Fairness with Limited Demographics via Disentangled Learning
IJCAI 2025
BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection
IJCAI 2024
Fine-Grained Legal Argument-Pair Extraction via Coarse-Grained Pre-training
COLING 2024
Fairness with Censorship: Bridging the Gap between Fairness Research and Real-World Deployment
AAAI 2024
Exploring Equation as a Better Intermediate Meaning Representation for Numerical Reasoning of Large Language Models
AAAI 2024
Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules
EMNLP 2023
Censored Fairness through Awareness
AAAI 2023
Variance-Preserving-Based Interpolation Diffusion Models for Speech Enhancement
INTERSPEECH 2023
Longitudinal Fairness with Censorship
AAAI 2022
FAHT: An Adaptive Fairness-aware Decision Tree Classifier
IJCAI 2019