Na Zou
15 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (10) π Academic Marathon (5)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Renaissance Researcher
(5)
π
Triple Crown
π
Grand Slam
π§¬
Topic Evolution
π
Century Club
(15)
π
Trend Setter
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(65)
π₯
Unstoppable
(6)
Conferences
AAAI (3)
ICML (3)
NIPS (3)
ACL (2)
ICLR (2)
IJCAI (2)
Top co-authors
Keywords
graph neural network
(5)
large language model
(2)
demographic parity
(2)
graph classification
(2)
deep neural network
(2)
data augmentation
(1)
model editing
(1)
algorithmic fairness
(1)
neural network interpretability
(1)
feature importance
(1)
domain generalization
(1)
deep learning
(1)
message passing
(1)
gradient descent
(1)
node prediction
(1)
video understanding
(1)
adaptive filtering
(1)
hyperparameter tuning
(1)
hierarchical structure
(1)
distribution shift
(1)
Papers
MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation
ACL 2025
Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models
ACL 2025
On Explaining Equivariant Graph Networks via Improved Relevance Propagation
ICML 2025
Gradient Rewiring for Editable Graph Neural Network Training
NIPS 2024
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods
ICLR 2024
Chasing Fairness in Graphs: A GNN Architecture Perspective
AAAI 2024
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach
NIPS 2023
Fair Graph Distillation
NIPS 2023
Learning Fair Graph Representations via Automated Data Augmentations
ICLR 2023
Graph Mixup with Soft Alignments
ICML 2023
DIVISION: Memory Efficient Training via Dual Activation Precision
ICML 2023
AutoVideo: An Automated Video Action Recognition System
IJCAI 2022
A Unified Taylor Framework for Revisiting Attribution Methods
AAAI 2021
Non-Local U-Nets for Biomedical Image Segmentation
AAAI 2020
Multi-Channel Graph Neural Networks
IJCAI 2020