Jiarong Xu

According to our database, Jiarong Xu authored at least 35 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Unifying Structure Reasoning and Language Pre-Training for Complex Reasoning Tasks.

Siyuan Wang, Zhongyu Wei, Jiarong Xu, Taishan Li, Zhihao Fan

IEEE ACM Trans. Audio Speech Lang. Process., 2024

Incomplete Graph Learning via Attribute-Structure Decoupled Variational Auto-Encoder.

Xinke Jiang, Zidi Qin, Jiarong Xu, Xiang Ao

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Towards Fair Graph Federated Learning via Incentive Mechanisms.

Chenglu Pan, Jiarong Xu, Yue Yu, Ziqi Yang, Qingbiao Wu, Chunping Wang, Lei Chen, Yang Yang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Value at Adversarial Risk: A Graph Defense Strategy against Cost-Aware Attacks.

Junlong Liao, Wenda Fu, Cong Wang, Zhongyu Wei, Jiarong Xu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks.

Renhong Huang, Jiarong Xu, Xin Jiang, Chenglu Pan, Zhiming Yang, Chunping Wang, Yang Yang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

NetRL: Task-Aware Network Denoising via Deep Reinforcement Learning.

Jiarong Xu, Yang Yang, Shiliang Pu, Yao Fu, Jun Feng, Weihao Jiang, Jiangang Lu, Chunping Wang

IEEE Trans. Knowl. Data Eng., 2023

Towards Fair Graph Federated Learning via Incentive Mechanisms.

Chenglu Pan, Jiarong Xu, Yue Yu, Ziqi Yang, Qingbiao Wu, Chunping Wang, Lei Chen, Yang Yang

CoRR, 2023

Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks.

Jiarong Xu, Renhong Huang, Xin Jiang, Yuxuan Cao, Carl Yang, Chunping Wang, Yang Yang

CoRR, 2023

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

Wei Chen, Qiushi Wang, Zefei Long, Xianyin Zhang, Zhongtian Lu, Bingxuan Li, Siyuan Wang, Jiarong Xu, Xiang Bai, Xuanjing Huang, Zhongyu Wei

CoRR, 2023

Cross-Lingual Knowledge Editing in Large Language Models.

Jiaan Wang, Yunlong Liang, Zengkui Sun, Yuxuan Cao, Jiarong Xu

CoRR, 2023

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

Siyuan Wang, Zhongyu Wei, Jiarong Xu, Zhihao Fan

CoRR, 2023

Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks.

Jiarong Xu, Renhong Huang, Xin Jiang, Yuxuan Cao, Carl Yang, Chunping Wang, Yang Yang

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!

Yuxuan Cao, Jiarong Xu, Carl Yang, Jiaan Wang, Yunchao Zhang, Chunping Wang, Lei Chen, Yang Yang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Understanding Translationese in Cross-Lingual Summarization.

Jiaan Wang, Fandong Meng, Yunlong Liang, Tingyi Zhang, Jiarong Xu, Zhixu Li, Jie Zhou

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.

Ruoxue Ma, Jiarong Xu, Xinnong Zhang, Haozhe Zhang, Zuyu Zhao, Qi Zhang, Xuanjing Huang, Zhongyu Wei

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Unleashing the Power of Language Models in Text-Attributed Graph.

Haoyu Kuang, Jiarong Xu, Haozhe Zhang, Zuyu Zhao, Qi Zhang, Xuanjing Huang, Zhongyu Wei

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

DropMessage: Unifying Random Dropping for Graph Neural Networks.

Taoran Fang, Zhiqing Xiao, Chunping Wang, Jiarong Xu, Xuan Yang, Yang Yang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Robust Network Enhancement From Flawed Networks.

Jiarong Xu, Yang Yang, Chunping Wang, Zongtao Liu, Jing Zhang, Lei Chen, Jiangang Lu

IEEE Trans. Knowl. Data Eng., 2022

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

Xuanwen Huang, Yang Yang, Yang Wang, Chunping Wang, Zhisheng Zhang, Jiarong Xu, Lei Chen

CoRR, 2022

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

Zhihao Fan, Zhongyu Wei, Jingjing Chen, Siyuan Wang, Zejun Li, Jiarong Xu, Xuanjing Huang

CoRR, 2022

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

Xuanwen Huang, Yang Yang, Yang Wang, Chunping Wang, Zhisheng Zhang, Jiarong Xu, Lei Chen, Michalis Vazirgiannis

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.

Yifei Sun, Haoran Deng, Yang Yang, Chunping Wang, Jiarong Xu, Renhong Huang, Linfeng Cao, Yang Wang, Lei Chen

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Can Abnormality be Detected by Graph Neural Networks?

Ziwei Chai, Siqi You, Yang Yang, Shiliang Pu, Jiarong Xu, Haoyang Cai, Weihao Jiang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Parallel Physics-Informed Neural Networks with Bidirectional Balance.

Yuhao Huang, Jiarong Xu, Shaomei Fang, Zupeng Zhu, Linfeng Jiang, Xiaoxin Liang

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.

Jiarong Xu, Yang Yang, Junru Chen, Xin Jiang, Chunping Wang, Jiangang Lu, Yizhou Sun

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs.

Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Chunping Wang, Jiangang Lu, Yang Yang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Robustness of deep learning models on graphs: A survey.

Jiarong Xu, Junru Chen, Siqi You, Zhiqing Xiao, Yang Yang, Jiangang Lu

AI Open, 2021

Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning.

Qinkai Zheng, Xu Zou, Yuxiao Dong, Yukuo Cen, Da Yin, Jiarong Xu, Yang Yang, Jie Tang

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.

Jiarong Xu, Yifan Luo, Jianrong Tao, Changjie Fan, Zhou Zhao, Jiangang Lu

ACM Trans. Knowl. Discov. Data, 2020

Query-free Black-box Adversarial Attacks on Graphs.

Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Yang Yang, Chunping Wang, Jiangang Lu

CoRR, 2020

Unsupervised Adversarially-Robust Representation Learning on Graphs.

Jiarong Xu, Junru Chen, Yang Yang, Yizhou Sun, Chunping Wang, Jiangang Lu

CoRR, 2020

2019

A PSO-LP Cooperative Algorithm for Mixed Integer Nonlinear Programming.

Ye Yang, Jinhou Han, Chen Chen, Jiarong Xu, Zuwei Liao, Xinggao Liu, Jinshui Chen, Jiangang Lu

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.

Chen Chen, Xueyuan Li, Ye Yang, Jiarong Xu, Zuwei Liao, Xinggao Liu, Jinshui Chen, Jiangang Lu

Proceedings of the 12th Asian Control Conference, 2019

2018

NGUARD: A Game Bot Detection Framework for NetEase MMORPGs.

Jianrong Tao, Jiarong Xu, Linxia Gong, Yifu Li, Changjie Fan, Zhou Zhao

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.

Yiren Shen, Xiaoxian Ou, Jiarong Xu, Guanglin Zhang, Lin Wang, Dapeng Li

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015