Ning Liu

According to our database, Ning Liu authored at least 16 papers between 2020 and 2025.

Collaborative distances:

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

2025

Hierarchy-Aware Neural Subgraph Matching With Enhanced Similarity Measure.

Zhouyang Liu, Ning Liu, Yixin Chen, Jiezhong He, Menghan Jia, Dongsheng Li

IEEE Trans. Knowl. Data Eng., September, 2025

Flexible Graph Similarity Computation With A Proactive Optimization Strategy.

Zhouyang Liu, Ning Liu, Yixin Chen, Jiezhong He, Dongsheng Li

CoRR, April, 2025

Graph Theory-Based Deep Graph Similarity Learning: A Unified Survey of Pipeline, Techniques, and Challenges.

Zhouyang Liu, Ning Liu, Yixin Chen, Ziqing Wen, Jiezhong He, Dongsheng Li

Trans. Mach. Learn. Res., 2025

2024

LFDe: A Lighter, Faster and More Data-Efficient Pre-training Framework for Event Extraction.

Zhigang Kan, Liwen Peng, Yifu Gao, Ning Liu, Linbo Qiao, Dongsheng Li

Proceedings of the ACM on Web Conference 2024, 2024

Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning (Extended Abstract).

Ning Liu, Songlei Jian, Dongsheng Li, Yiming Zhang, Zhiquan Lai, Hongzuo Xu

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

6Search: A reinforcement learning-based traceroute approach for efficient IPv6 topology discovery.

Ning Liu, Chunbo Jia, Bingnan Hou, Changsheng Hou, Yingwen Chen, Zhiping Cai

Comput. Networks, November, 2023

RoSAS: Deep semi-supervised anomaly detection with contamination-resilient continuous supervision.

Hongzuo Xu, Yijie Wang, Guansong Pang, Songlei Jian, Ning Liu, Yongjun Wang

Inf. Process. Manag., September, 2023

Hierarchical Adaptive Pooling by Capturing High-Order Dependency for Graph Representation Learning.

Ning Liu, Songlei Jian, Dongsheng Li, Yiming Zhang, Zhiquan Lai, Hongzuo Xu

IEEE Trans. Knowl. Data Eng., April, 2023

Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning.

Hongzuo Xu, Yijie Wang, Juhui Wei, Songlei Jian, Yizhou Li, Ning Liu

Proceedings of the International Conference on Machine Learning, 2023

2022

PARA: Performability-aware resource allocation on the edges for cloud-native services.

Yeting Guo, Fang Liu, Nong Xiao, Zhaogeng Li, Zhiping Cai, Guoming Tang, Ning Liu

Int. J. Intell. Syst., 2022

A Survey on IPv6 Security Threats and Defense Mechanisms.

Ning Liu, Jing Xia, Zhiping Cai, Tao Yang, Bingnan Hou, Zhilin Wang

Proceedings of the Artificial Intelligence and Security - 8th International Conference, 2022

Unsupervised Hierarchical Graph Pooling via Substructure-Sensitive Mutual Information Maximization.

Ning Liu, Songlei Jian, Dongsheng Li, Hongzuo Xu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Beyond Outlier Detection: Outlier Interpretation by Attention-Guided Triplet Deviation Network.

Hongzuo Xu, Yijie Wang, Songlei Jian, Zhenyu Huang, Yongjun Wang, Ning Liu, Fei Li

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

Deep reinforcement learning: a survey.

Haonan Wang, Ning Liu, Yiyun Zhang, Dawei Feng, Feng Huang, Dong Sheng Li, Yiming Zhang

Frontiers Inf. Technol. Electron. Eng., 2020

Large-scale graph processing systems: a survey.

Ning Liu, Dong-sheng Li, Yiming Zhang, Xiong-lve Li

Frontiers Inf. Technol. Electron. Eng., 2020

ProbInfer: Probability-based AS path inference from multigraph perspective.

Xiong-lve Li, Zhiping Cai, Bingnan Hou, Ning Liu, Fang Liu, Jieren Cheng

Comput. Networks, 2020