Na Zou
15 papers · 2020–2025 · 6 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 (38) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π Grand Slam
π
Keyword Champion
(2)
π§¬
Topic Evolution
π
Triple Crown
ποΈ
Keyword Collector
(74)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(14)
Deep Learning
(12)
Application Areas
(9)
Artificial Intelligence
(7)
Architectures
(7)
Core AI
(7)
Core Methods
(4)
Learning Types Β· Deep Learning
(4)
Optimization & Theory Β· Deep Learning
(4)
Learning Types Β· Machine Learning
(3)
Computer Vision
(2)
Optimization & Theory Β· Machine Learning
(2)
Processing
(2)
Techniques
(2)
Natural Language Processing
(1)
Keywords
graph neural network
(5)
graph classification
(2)
node classification
(2)
group fairness
(2)
algorithmic fairness
(2)
deep neural network
(2)
data augmentation
(2)
large language model
(2)
fairness-accuracy trade-off
(2)
demographic parity
(2)
deep learning
(1)
model editing
(1)
neural network interpretability
(1)
message passing
(1)
graph representation learning
(1)
feature importance
(1)
hyperparameter tuning
(1)
video understanding
(1)
domain generalization
(1)
node prediction
(1)
Papers
MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation
ACL 2025
On Explaining Equivariant Graph Networks via Improved Relevance Propagation
ICML 2025
Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models
ACL 2025
Chasing Fairness in Graphs: A GNN Architecture Perspective
AAAI 2024
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
ICLR 2024
Gradient Rewiring for Editable Graph Neural Network Training
NeurIPS 2024
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach
NeurIPS 2023
DIVISION: Memory Efficient Training via Dual Activation Precision
ICML 2023
Fair Graph Distillation
NeurIPS 2023
Graph Mixup with Soft Alignments
ICML 2023
Learning Fair Graph Representations via Automated Data Augmentations
ICLR 2023
AutoVideo: An Automated Video Action Recognition System
IJCAI 2022
A Unified Taylor Framework for Revisiting Attribution Methods
AAAI 2021
Multi-Channel Graph Neural Networks
IJCAI 2020
Non-Local U-Nets for Biomedical Image Segmentation
AAAI 2020