Jiarong Xu
19 papers · 2022–2025 · 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
Jump to papers ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (41) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π€ Dynamic Duo (11)
π€
Dynamic Duo
(11)
π
Renaissance Researcher
(6)
β
The Questioner
(2)
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(93)
Top co-authors
Research topics
Deep Learning
(17)
Machine Learning
(17)
Architectures
(13)
Learning Types Β· Deep Learning
(11)
Learning Types Β· Machine Learning
(11)
Artificial Intelligence
(6)
Core Methods
(6)
Application Areas
(4)
Data Science & Analytics
(3)
Interdisciplinary
(3)
Natural Language Processing
(3)
Core AI
(3)
Learning Paradigms
(3)
Resources & Methods
(3)
Computer Vision
(2)
Keywords
graph neural network
(13)
adversarial attack
(3)
representation learning
(2)
self-supervised pretraining
(2)
graph representation learning
(2)
self-supervised learning
(2)
node classification
(2)
cross-lingual transfer
(2)
heterogeneous graph
(2)
downstream task
(2)
language model
(2)
graph anomaly detection
(1)
adversarial robustness
(1)
graph classification
(1)
temporal dynamics
(1)
link prediction
(1)
privacy attack
(1)
sentiment analysis
(1)
social media analysis
(1)
anomaly detection
(1)
Papers
An Empirical Study of Many-to-Many Summarization with Large Language Models
ACL 2025
Rethinking Time Encoding via Learnable Transformation Functions
ICML 2025
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach
NeurIPS 2024
Cross-Lingual Knowledge Editing in Large Language Models
ACL 2024
Extracting Training Data from Molecular Pre-trained Models
NeurIPS 2024
Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks
AAAI 2024
Towards Fair Graph Federated Learning via Incentive Mechanisms
AAAI 2024
Unleashing the Power of Emojis in Texts via Self-supervised Graph Pre-Training
EMNLP 2024
Value at Adversarial Risk: A Graph Defense Strategy against Cost-Aware Attacks
AAAI 2024
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks
NeurIPS 2023
DropMessage: Unifying Random Dropping for Graph Neural Networks
AAAI 2023
One-Model-Connects-All: A Unified Graph Pre-Training Model for Online Community Modeling
EMNLP 2023
Understanding Translationese in Cross-Lingual Summarization
EMNLP 2023
Unleashing the Power of Language Models in Text-Attributed Graph
EMNLP 2023
Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network
IJCAI 2022
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs
AAAI 2022
Can Abnormality be Detected by Graph Neural Networks?
IJCAI 2022
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection
NeurIPS 2022
Unsupervised Adversarially Robust Representation Learning on Graphs
AAAI 2022