Xu Jiarong
Assistant Professor
Information Management and Business Intelligence (IM&BI)
Add: Guoshun Road Siyuan Building Room 609, Siyuan Building
Tel: 25011138(TEL)
E-mail: jiarongxu@fudan.edu.cn
Research Field: Network Representation Learning, Social Network Analysis, Artificial Intelligence, Data Mining, Machine Learning
Teacher information
Achievements in scientific research
Academic activities and community service
Journal Papers
| 1. | Jiarong Xu, Jiaan Wang, Zenan Zhou, and Tian Lu. 2025. Toward graph data collaboration in a data-sharing-free manner: A novel privacy-preserving graph pretraining model. INFORMS Journal on Computing forthcoming 1-16.  |
| 2. | Ziqi Yang, Yiran Zhu, Jie Wan, ChuXiao Xiang, Tong Tang, Yilin Wang, Ruite Xu, Lijin Wang, Fan Zhang, Jiarong Xu, and Zhan Qin. 2025. Defending data inference attacks against machine learning models by mitigating prediction distinguishability. IEEE Transactions on Dependable and Secure Computing 22(3) 2687-2704. |
| 3. | Siyuan Wang, Zhongyu Wei, Jiarong Xu, Taishan Li, and Zhihao Fan. 2024. Unifying structure reasoning and language pre-training for complex reasoning tasks. IEEE/ACM Transactions on Audio, Speech, and Language Processing 32 1586-1595. |
| 4. | Jiarong Xu, Yang Yang, Shiliang Pu, Yao Fu, Jun Feng, Weihao Jiang, Jiangang Lu, and Chunping Wang. 2023. NetRL: Task-aware network denoising via deep reinforcement learning. IEEE Transactions on Knowledge and Data Engineering 35(1) 810-823. |
| 5. | Jiarong Xu, Yang Yang, Chunping Wang, Zongtao Liu, Jing Zhang, Lei Chen, and Jiangang Lu. 2022. Robust network enhancement from flawed networks. IEEE Transactions on Knowledge and Data Engineering 34(7) 3507-3520. |
| 6. | Jiarong Xu, Junru Chen, Siqi You, Zhiqing Xiao, Yang Yang , and Jiangang Lu. 2021. Robustness of deep learning models on graphs: A survey. AI Open 2 69-78. |
| 7. | Jiarong Xu, Yifan Luo, Jianrong Tao, Changjie Fan, Zhou Zhao, and Jiangang Lu. 2020. NGUARD+: an attention-based game bot detection framework via player behavior sequences. ACM Transactions on Knowledge Discovery from Data 14(6) 1-24. |
Conference Proceedings
| 1. | Yiran Qiao, Xiang Ao, Yang Liu, Jiarong Xu, Xiaoqian Sun, and Qing He. 2025. LOGIN: A large language model consulted graph neural network training framework. Proceedings of the 18th International Conference on Web Search and Data Mining (WSDM'25) Hannover, Germany 232–241.  |
| 2. | Hanyang Yuan, Jiarong Xu, Renhong Huang, Mingli Song, Chunping Wang, and Yang Yang. 2024. Can graph neural networks expose training data properties? An efficient risk assessment approach. Advances in Neural Information Processing Systems 37 (NeurIPS 2024) Vancouver, Canada 69361-69385. |
| 3. | Renhong Huang, Jiarong Xu, Zhiming Yang, Xiang Si, Xin Jiang, Hanyang Yuan, Chunping Wang, and Yang Yang. 2024. Extracting training data from molecular pre-trained models. Advances in Neural Information Processing Systems 37 (NeurIPS 2024) Vancouver, Canada 97948-97971. |
| 4. | Zhou Zhang, Dongzeng Tan, Jiaan Wang, Yilong Chen, and Jiarong Xu. 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 Miami, Florida, USA 17851-17863. |
| 5. | Hanyang Yuan, Jiarong Xu, Cong Wang, Ziqi Yang, Chunping Wang, Keting Yin, and Yang Yang. 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 Barcelona Spain 4059-4070. |
| 6. | Renhong Huang, Jiarong Xu, Xin Jiang, Ruichuan An, and Yang Yang. 2024. Can modifying data address graph domain adaptation?. Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Barcelona Spain 1131-1142. |
| 7. | Jiaan Wang, Yunlong Liang, Zengkui Sun, Yuxuan Cao, Jiarong Xu, and Fandong Meng. 2024. Cross-lingual knowledge editing in large language models. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics 1 11676–11686. |
| 8. | Renhong Huang, Jiarong Xu, Xin Jiang, Chenglu Pan, Zhiming Yang, Chunping Wang, and Yang Yang. 2024. Measuring task similarity and its implication in fine-tuning graph neural networks. Proceedings of the AAAI Conference on Artificial Intelligence(AAAI-24) Vancouver, Canada 12617-12625. |
| 9. | Junlong Liao, Wenda Fu, Cong Wang, Zhongyu Wei, and Jiarong Xu. 2024. Value at adversarial risk: A graph defense strategy against cost-aware attacks. Proceedings of the AAAI Conference on Artificial Intelligence(AAAI-24) Vancouver, Canada 13763-13771. |
| 10. | Chenglu Pan, Jiarong Xu, Yue Yu, Ziqi Yang, Qingbiao Wu, Chunping Wang, Lei Chen, and Yang Yang. 2024. Towards fair graph federated learning via incentive mechanisms. Proceedings of the AAAI Conference on Artificial Intelligence(AAAI-24) Vancouver, Canada 14499-14507. |
| 11. | Xinke Jiang, Zidi Qin, Jiarong Xu, and Xiang Ao. 2024. Incomplete graph learning via attribute-structure decoupled variational auto-encoder. Proceedings of the 17th ACM International Conference on Web Search and Data Mining (WSDM 2024) Mérida, Mexico 304–312. |
| 12. | Jiarong Xu, Renhong Huang, Xin Jiang, Yuxuan Cao, Carl Yang, Chunping Wang, and Yang Yang. 2023. Better with Less: A data-active perspective on pre-training graph neural networks. Advances in Neural Information Processing Systems 36 (NeurIPS 2023) New Orleans,USA 56946-56978. |
| 13. | Jiaan Wang, Fandong Meng, Yunlong Liang, Tingyi Zhang, Jiarong Xu, Zhixu Li, and Jie Zhou. 2023. Understanding translationese in cross-lingual summarization. Findings of the Association for Computational Linguistics (EMNLP 2023) Singapore 3837–3849. |
| 14. | Haoyu Kuang, Jiarong Xu, Haozhe Zhang, Zuyu Zhao, Qi Zhang, Xuanjing Huang, and Zhongyu Wei. 2023. Unleashing the power of language models in Text-Attributed graph. Findings of the Association for Computational Linguistics (EMNLP 2023) Singapore 8429–8441. |
| 15. | Ruoxue Ma, Jiarong Xu, Xinnong Zhang, Haozhe Zhang, Zuyu Zhao, Qi Zhang, Xuanjing Huang, and Zhongyu Wei. 2023. One-Model-Connects-All: A unified graph pre-training model for online community modeling. Findings of the Association for Computational Linguistics (EMNLP 2023) Singapore 15034–15045. |
| 16. | Yuxuan Cao, Jiarong Xu, Carl Yang, Jiaan Wang, Yunchao Mercer Zhang, Chunping Wang, Lei Chen, and Yang Yang. 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 (KDD 2023) Long Beach, USA 142–153. |
| 17. | Taoran Fang, Zhiqing Xiao, Chunping Wang, Jiarong Xu, Xuan Yang, and Yang Yang. 2023. DropMessage: Unifying random dropping for graph neural networks. The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23) 37(4) 4267-4275. |
| 18. | Xuanwen Huang, Yang Yang, Yang Wang, Chunping Wang, Zhisheng Zhang, Jiarong Xu, Lei Chen, and Michalis Vazirgiannis. 2022. DGraph: A large-scale financial dataset for graph anomaly detection. 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks New Orleans, United States 22765-22777. |
| 19. | Ziwei Chai, Siqi You, Yang Yang, Shiliang Pu, Jiarong Xu, Haoyang Cai, and Weihao Jiang. 2022. Can abnormality be detected by graph neural networks?. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22) Vienna, Austria 1945-1951. |
| 20. | Yifei Sun, Haoran Deng, Yang Yang, Chunping Wang, Jiarong Xu, Renhong Huang, Linfeng Cao, Yang Wang, and Lei Chen. 2022. Beyond homophily: Structure-aware path aggregation graph neural network. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22) Vienna, Austria 2233-2240. |
| 21. | Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Chunping Wang, Jiangang Lu, and Yang Yang. 2022. Blindfolded attackers still threatening: strict black-box adversarial attacks on graphs. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2022) 36(4) 4299-4307. |
| 22. | Jiarong Xu, Yang Yang, Junru Chen, Xin Jiang, Chunping Wang, Jiangang Lu, and Yizhou Sun. 2022. Unsupervised adversarially robust representation learning on graphs. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2022) 36(4) 4290-4298. |
| 23. | Qinkai Zheng, Xu Zou, Yuxiao Dong, Yukuo Cen, Da Yin, Jiarong Xu, Jiarong Xu, Yang Yang, and Jie Tang. 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 (NeurIPS Datasets and Benchmarks 2021) Canada 1-14. |
| 24. | Jianrong Tao, Jiarong Xu, Linxia Gong, Yifu Li, Changjie Fan, and Zhou Zhao. 2018. NGUARD: A game bot detection framework for NetEase MMORPGs. 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining London, United Kingdom 811–820. |
Research Projects
2025.07—2026.07, Principal Investigator, Financial Risk Management via Heterogeneous Data Learning, Tencent Technology (Shenzhen) Company Ltd.，
2024.11—2025.10, Principal Investigator, 基于通用大图模型的金融欺诈检测, 北京智谱华章科技有限公司
2023.01—2025.12, Member, 数据与知识联合驱动的双系统认知智能理论与技术研究, 国家自然科学基金重大研究计划培育项目
2023.01—2025.12, Principal Investigator, Robust Machine Learning on Graphs, National Natural Science Foundation of China
2022.01—2025.12, Member, 跨领域的通用图神经网络理论与应用, 国家自然科学基金面上项目
Journal Papers
| 1. | Jiarong Xu, Jiaan Wang, Zenan Zhou, and Tian Lu. 2025. Toward graph data collaboration in a data-sharing-free manner: A novel privacy-preserving graph pretraining model. INFORMS Journal on Computing forthcoming 1-16. |
| 2. | Ziqi Yang, Yiran Zhu, Jie Wan, ChuXiao Xiang, Tong Tang, Yilin Wang, Ruite Xu, Lijin Wang, Fan Zhang, Jiarong Xu, and Zhan Qin. 2025. Defending data inference attacks against machine learning models by mitigating prediction distinguishability. IEEE Transactions on Dependable and Secure Computing 22(3) 2687-2704. |
| 3. | Siyuan Wang, Zhongyu Wei, Jiarong Xu, Taishan Li, and Zhihao Fan. 2024. Unifying structure reasoning and language pre-training for complex reasoning tasks. IEEE/ACM Transactions on Audio, Speech, and Language Processing 32 1586-1595. |
| 4. | Jiarong Xu, Yang Yang, Shiliang Pu, Yao Fu, Jun Feng, Weihao Jiang, Jiangang Lu, and Chunping Wang. 2023. NetRL: Task-aware network denoising via deep reinforcement learning. IEEE Transactions on Knowledge and Data Engineering 35(1) 810-823. |
| 5. | Jiarong Xu, Yang Yang, Chunping Wang, Zongtao Liu, Jing Zhang, Lei Chen, and Jiangang Lu. 2022. Robust network enhancement from flawed networks. IEEE Transactions on Knowledge and Data Engineering 34(7) 3507-3520. |
| 6. | Jiarong Xu, Junru Chen, Siqi You, Zhiqing Xiao, Yang Yang , and Jiangang Lu. 2021. Robustness of deep learning models on graphs: A survey. AI Open 2 69-78. |
| 7. | Jiarong Xu, Yifan Luo, Jianrong Tao, Changjie Fan, Zhou Zhao, and Jiangang Lu. 2020. NGUARD+: an attention-based game bot detection framework via player behavior sequences. ACM Transactions on Knowledge Discovery from Data 14(6) 1-24. |
Conference Proceedings
| 1. | Yiran Qiao, Xiang Ao, Yang Liu, Jiarong Xu, Xiaoqian Sun, and Qing He. 2025. LOGIN: A large language model consulted graph neural network training framework. Proceedings of the 18th International Conference on Web Search and Data Mining (WSDM'25) Hannover, Germany 232–241. |
| 2. | Hanyang Yuan, Jiarong Xu, Renhong Huang, Mingli Song, Chunping Wang, and Yang Yang. 2024. Can graph neural networks expose training data properties? An efficient risk assessment approach. Advances in Neural Information Processing Systems 37 (NeurIPS 2024) Vancouver, Canada 69361-69385. |
| 3. | Renhong Huang, Jiarong Xu, Zhiming Yang, Xiang Si, Xin Jiang, Hanyang Yuan, Chunping Wang, and Yang Yang. 2024. Extracting training data from molecular pre-trained models. Advances in Neural Information Processing Systems 37 (NeurIPS 2024) Vancouver, Canada 97948-97971. |
| 4. | Zhou Zhang, Dongzeng Tan, Jiaan Wang, Yilong Chen, and Jiarong Xu. 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 Miami, Florida, USA 17851-17863. |
| 5. | Hanyang Yuan, Jiarong Xu, Cong Wang, Ziqi Yang, Chunping Wang, Keting Yin, and Yang Yang. 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 Barcelona Spain 4059-4070. |
| 6. | Renhong Huang, Jiarong Xu, Xin Jiang, Ruichuan An, and Yang Yang. 2024. Can modifying data address graph domain adaptation?. Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Barcelona Spain 1131-1142. |
| 7. | Jiaan Wang, Yunlong Liang, Zengkui Sun, Yuxuan Cao, Jiarong Xu, and Fandong Meng. 2024. Cross-lingual knowledge editing in large language models. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics 1 11676–11686. |
| 8. | Renhong Huang, Jiarong Xu, Xin Jiang, Chenglu Pan, Zhiming Yang, Chunping Wang, and Yang Yang. 2024. Measuring task similarity and its implication in fine-tuning graph neural networks. Proceedings of the AAAI Conference on Artificial Intelligence(AAAI-24) Vancouver, Canada 12617-12625. |
| 9. | Junlong Liao, Wenda Fu, Cong Wang, Zhongyu Wei, and Jiarong Xu. 2024. Value at adversarial risk: A graph defense strategy against cost-aware attacks. Proceedings of the AAAI Conference on Artificial Intelligence(AAAI-24) Vancouver, Canada 13763-13771. |
| 10. | Chenglu Pan, Jiarong Xu, Yue Yu, Ziqi Yang, Qingbiao Wu, Chunping Wang, Lei Chen, and Yang Yang. 2024. Towards fair graph federated learning via incentive mechanisms. Proceedings of the AAAI Conference on Artificial Intelligence(AAAI-24) Vancouver, Canada 14499-14507. |
| 11. | Xinke Jiang, Zidi Qin, Jiarong Xu, and Xiang Ao. 2024. Incomplete graph learning via attribute-structure decoupled variational auto-encoder. Proceedings of the 17th ACM International Conference on Web Search and Data Mining (WSDM 2024) Mérida, Mexico 304–312. |
| 12. | Jiarong Xu, Renhong Huang, Xin Jiang, Yuxuan Cao, Carl Yang, Chunping Wang, and Yang Yang. 2023. Better with Less: A data-active perspective on pre-training graph neural networks. Advances in Neural Information Processing Systems 36 (NeurIPS 2023) New Orleans,USA 56946-56978. |
| 13. | Jiaan Wang, Fandong Meng, Yunlong Liang, Tingyi Zhang, Jiarong Xu, Zhixu Li, and Jie Zhou. 2023. Understanding translationese in cross-lingual summarization. Findings of the Association for Computational Linguistics (EMNLP 2023) Singapore 3837–3849. |
| 14. | Haoyu Kuang, Jiarong Xu, Haozhe Zhang, Zuyu Zhao, Qi Zhang, Xuanjing Huang, and Zhongyu Wei. 2023. Unleashing the power of language models in Text-Attributed graph. Findings of the Association for Computational Linguistics (EMNLP 2023) Singapore 8429–8441. |
| 15. | Ruoxue Ma, Jiarong Xu, Xinnong Zhang, Haozhe Zhang, Zuyu Zhao, Qi Zhang, Xuanjing Huang, and Zhongyu Wei. 2023. One-Model-Connects-All: A unified graph pre-training model for online community modeling. Findings of the Association for Computational Linguistics (EMNLP 2023) Singapore 15034–15045. |
| 16. | Yuxuan Cao, Jiarong Xu, Carl Yang, Jiaan Wang, Yunchao Mercer Zhang, Chunping Wang, Lei Chen, and Yang Yang. 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 (KDD 2023) Long Beach, USA 142–153. |
| 17. | Taoran Fang, Zhiqing Xiao, Chunping Wang, Jiarong Xu, Xuan Yang, and Yang Yang. 2023. DropMessage: Unifying random dropping for graph neural networks. The Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI-23) 37(4) 4267-4275. |
| 18. | Xuanwen Huang, Yang Yang, Yang Wang, Chunping Wang, Zhisheng Zhang, Jiarong Xu, Lei Chen, and Michalis Vazirgiannis. 2022. DGraph: A large-scale financial dataset for graph anomaly detection. 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks New Orleans, United States 22765-22777. |
| 19. | Ziwei Chai, Siqi You, Yang Yang, Shiliang Pu, Jiarong Xu, Haoyang Cai, and Weihao Jiang. 2022. Can abnormality be detected by graph neural networks?. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22) Vienna, Austria 1945-1951. |
| 20. | Yifei Sun, Haoran Deng, Yang Yang, Chunping Wang, Jiarong Xu, Renhong Huang, Linfeng Cao, Yang Wang, and Lei Chen. 2022. Beyond homophily: Structure-aware path aggregation graph neural network. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22) Vienna, Austria 2233-2240. |
| 21. | Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Chunping Wang, Jiangang Lu, and Yang Yang. 2022. Blindfolded attackers still threatening: strict black-box adversarial attacks on graphs. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2022) 36(4) 4299-4307. |
| 22. | Jiarong Xu, Yang Yang, Junru Chen, Xin Jiang, Chunping Wang, Jiangang Lu, and Yizhou Sun. 2022. Unsupervised adversarially robust representation learning on graphs. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2022) 36(4) 4290-4298. |
| 23. | Qinkai Zheng, Xu Zou, Yuxiao Dong, Yukuo Cen, Da Yin, Jiarong Xu, Jiarong Xu, Yang Yang, and Jie Tang. 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 (NeurIPS Datasets and Benchmarks 2021) Canada 1-14. |
| 24. | Jianrong Tao, Jiarong Xu, Linxia Gong, Yifu Li, Changjie Fan, and Zhou Zhao. 2018. NGUARD: A game bot detection framework for NetEase MMORPGs. 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining London, United Kingdom 811–820. |
Research Projects
2025.07—2026.07, Principal Investigator, Financial Risk Management via Heterogeneous Data Learning, Tencent Technology (Shenzhen) Company Ltd.，
2024.11—2025.10, Principal Investigator, 基于通用大图模型的金融欺诈检测, 北京智谱华章科技有限公司
2023.01—2025.12, Member, 数据与知识联合驱动的双系统认知智能理论与技术研究, 国家自然科学基金重大研究计划培育项目
2023.01—2025.12, Principal Investigator, Robust Machine Learning on Graphs, National Natural Science Foundation of China
2022.01—2025.12, Member, 跨领域的通用图神经网络理论与应用, 国家自然科学基金面上项目
Academic Conferences
2024.08, The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Barcelona, Spain
2022.07, IJCAI-ECAI 2022, The 31st International Joint Conference on Artificial Intelligence, Virtual Conference
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