Jiarong Xu
19 papers · 2022–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (5)
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Cross-Pollinator
(5)
🌍
Conference Polyglot
(6)
🤝
Dynamic Duo
(11)
🔬
Deep Specialist
(13)
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Prolific Year
(7)
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Keyword Collector
(88)
❓
The Questioner
(2)
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Century Club
(19)
Conferences
AAAI (6)
EMNLP (4)
NIPS (4)
ACL (2)
IJCAI (2)
ICML (1)
Top co-authors
Keywords
graph neural network
(13)
adversarial attack
(3)
self-supervised learning
(2)
node classification
(2)
representation learning
(2)
graph representation learning
(2)
language model
(2)
heterogeneous graph
(2)
cross-lingual transfer
(2)
downstream task
(2)
adversarial robustness
(1)
graph anomaly detection
(1)
graph classification
(1)
link prediction
(1)
privacy attack
(1)
sentiment analysis
(1)
anomaly detection
(1)
zero-shot learning
(1)
social media analysis
(1)
machine translation
(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
Extracting Training Data from Molecular Pre-trained Models
NIPS 2024
Unleashing the Power of Emojis in Texts via Self-supervised Graph Pre-Training
EMNLP 2024
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach
NIPS 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
Value at Adversarial Risk: A Graph Defense Strategy against Cost-Aware Attacks
AAAI 2024
Cross-Lingual Knowledge Editing in Large Language Models
ACL 2024
Unleashing the Power of Language Models in Text-Attributed Graph
EMNLP 2023
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks
NIPS 2023
DropMessage: Unifying Random Dropping for Graph Neural Networks
AAAI 2023
Understanding Translationese in Cross-Lingual Summarization
EMNLP 2023
One-Model-Connects-All: A Unified Graph Pre-Training Model for Online Community Modeling
EMNLP 2023
Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network
IJCAI 2022
Unsupervised Adversarially Robust Representation Learning on Graphs
AAAI 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
NIPS 2022