Jiarong Xu

Orcid: 0000-0003-2973-1889

According to our database1, Jiarong Xu authored at least 40 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Unifying Structure Reasoning and Language Pre-Training for Complex Reasoning Tasks.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Can Modifying Data Address Graph Domain Adaptation?
CoRR, 2024

LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework.
CoRR, 2024

CT-Eval: Benchmarking Chinese Text-to-Table Performance in Large Language Models.
CoRR, 2024

Incomplete Graph Learning via Attribute-Structure Decoupled Variational Auto-Encoder.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Can Modifying Data Address Graph Domain Adaptation?
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Unleashing the Power of Emojis in Texts via Self-supervised Graph Pre-Training.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Cross-Lingual Knowledge Editing in Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Towards Fair Graph Federated Learning via Incentive Mechanisms.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Value at Adversarial Risk: A Graph Defense Strategy against Cost-Aware Attacks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
NetRL: Task-Aware Network Denoising via Deep Reinforcement Learning.
IEEE Trans. Knowl. Data Eng., 2023

DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning.
CoRR, 2023

Cross-Lingual Knowledge Editing in Large Language Models.
CoRR, 2023

Unifying Structure Reasoning and Language Model Pre-training for Complex Reasoning.
CoRR, 2023

Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

When to Pre-Train Graph Neural Networks? From Data Generation Perspective!
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Understanding Translationese in Cross-Lingual Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

One-Model-Connects-All: A Unified Graph Pre-Training Model for Online Community Modeling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Unleashing the Power of Language Models in Text-Attributed Graph.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

DropMessage: Unifying Random Dropping for Graph Neural Networks.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Robust Network Enhancement From Flawed Networks.
IEEE Trans. Knowl. Data Eng., 2022

DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection.
CoRR, 2022

A Unified Continuous Learning Framework for Multi-modal Knowledge Discovery and Pre-training.
CoRR, 2022

DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Can Abnormality be Detected by Graph Neural Networks?
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Parallel Physics-Informed Neural Networks with Bidirectional Balance.
Proceedings of the ICIAI 2022: The 6th International Conference on Innovation in Artificial Intelligence, Guangzhou China, March 4, 2022

Unsupervised Adversarially Robust Representation Learning on Graphs.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Robustness of deep learning models on graphs: A survey.
AI Open, 2021

Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020
NGUARD+: An Attention-based Game Bot Detection Framework via Player Behavior Sequences.
ACM Trans. Knowl. Discov. Data, 2020

Query-free Black-box Adversarial Attacks on Graphs.
CoRR, 2020

Unsupervised Adversarially-Robust Representation Learning on Graphs.
CoRR, 2020

2019
A PSO-LP Cooperative Algorithm for Mixed Integer Nonlinear Programming.
Proceedings of the 12th Asian Control Conference, 2019

Parameter Self-Tuning of SISO Compact-Form Model-Free Adaptive Controller based on Neural Network with System Error Set as Input.
Proceedings of the 12th Asian Control Conference, 2019

2018
NGUARD: A Game Bot Detection Framework for NetEase MMORPGs.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2015
Optimal energy storage management for microgrids with ON/OFF co-generator: A two-time-scale approach.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015


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