Chenxu Wang

Orcid: 0000-0002-9539-5046

Affiliations:
  • Xi'an Jiaotong University, Key Laboratory for Intelligent Networks and Network Security, Xi'an, China


According to our database1, Chenxu Wang authored at least 54 papers between 2012 and 2025.

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

Timeline

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Bibliography

2025
Graph contrastive learning with high-order feature interactions and adversarial Wasserstein-distance-based alignment.
Int. J. Mach. Learn. Cybern., June, 2025

Update If You Dare: Demystifying Bare-Metal Device Firmware Update Security of Appified IoT Systems.
IEEE Trans. Dependable Secur. Comput., 2025

DAPEW: Towards robust collaborative filtering with graph contrastive learning.
Knowl. Based Syst., 2025

FiGraph: A Dynamic Heterogeneous Graph Dataset for Financial Anomaly Detection.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

LRTHT: An Efficient Log Clustering Framework Based on Radix Tree and Hash Table.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

Social Network Classification Based on Adaptive Structure-Alignment Federated Graph Learning Framework.
Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

2024
GTCAlign: Global Topology Consistency-Based Graph Alignment.
IEEE Trans. Knowl. Data Eng., May, 2024

MS2OD: outlier detection using minimum spanning tree and medoid selection.
Mach. Learn. Sci. Technol., March, 2024

Blockchain-Based Dynamic Cloud Data Integrity Auditing via Non-Leaf Node Sampling of Rank-Based Merkle Hash Tree.
IEEE Trans. Netw. Sci. Eng., 2024

SynSem-ASTE: An Enhanced Multi-Encoder Network for Aspect Sentiment Triplet Extraction With Syntax and Semantics.
IEEE Trans. Affect. Comput., 2024

Learning-to-rank debias with popularity-weighted negative sampling and popularity regularization.
Neurocomputing, 2024

Distribution-aware hybrid noise augmentation in graph contrastive learning for recommendation.
Expert Syst. Appl., 2024

Multi-Relational Graph Representation Learning for Financial Statement Fraud Detection.
Big Data Min. Anal., 2024

SMUG: Sand Mixing for Unobserved Class Detection in Graph Few-Shot Learning.
Proceedings of the ACM on Web Conference 2024, 2024

Are We There Yet? Unraveling the State-of-the-Art Smart Contract Fuzzers.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

AFANS: Augmentation-Free Graph Contrastive Learning with Adversarial Negative Sampling.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

SWISP: Distributed Convoy Mining via Sliding Window-based Indexing and Sub-track Partitioning.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Beyond Simple Text Style Transfer: Unveiling Compound Text Style Transfer with Prompt-Based Pre-Trained Language Models.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
SocialSift: Target Query Discovery on Online Social Media With Deep Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

FuAlign: Cross-lingual entity alignment via multi-view representation learning of fused knowledge graphs.
Inf. Fusion, 2023

Towards Understanding the Instability of Network Embedding (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Foreground Extraction in Histo-Pathological Image by Combining Mathematical Morphology Operations and U-Net.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

2022
Towards Understanding the Instability of Network Embedding.
IEEE Trans. Knowl. Data Eng., 2022

MulSetRank: Multiple set ranking for personalized recommendation from implicit feedback.
Knowl. Based Syst., 2022

Leveraging network structure for efficient dynamic negative sampling in network embedding.
Inf. Sci., 2022

AEP: Aligning knowledge graphs via embedding propagation.
Neurocomputing, 2022

2021
Streaming Algorithms for Estimating High Set Similarities in LogLog Space.
IEEE Trans. Knowl. Data Eng., 2021

Detecting concurrency vulnerabilities based on partial orders of memory and thread events.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

CLUE: towards discovering locked cryptocurrencies in ethereum.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Advertisement Extraction from Content Marketing Articles via Segment-Aware Sentence Classification.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

2020
Hierarchical and overlapping social circle identification in ego networks based on link clustering.
Neurocomputing, 2020

Credible seed identification for large-scale structural network alignment.
Data Min. Knowl. Discov., 2020

Measuring the Semantic Stability of Word Embedding.
Proceedings of the Natural Language Processing and Chinese Computing, 2020

2019
A Cross-Chain Solution to Integrating Multiple Blockchains for IoT Data Management.
Sensors, 2019

An Efficient Approximation of Betweenness Centrality for Uncertain Graphs.
IEEE Access, 2019

Enhancing Content Marketing Article Detection With Graph Analysis.
IEEE Access, 2019

A Blockchain-Based IoT Data Management System for Secure and Scalable Data Sharing.
Proceedings of the Network and System Security - 13th International Conference, 2019

A Memory-Efficient Sketch Method for Estimating High Similarities in Streaming Sets.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018
SkyShield: A Sketch-Based Defense System Against Application Layer DDoS Attacks.
IEEE Trans. Inf. Forensics Secur., 2018

Potential threats mining methods based on correlation analysis of multi-type logs.
IET Networks, 2018

An Integrated Method for Anomaly Detection From Massive System Logs.
IEEE Access, 2018

Understanding the Behaviors of BGP-based DDoS Protection Services.
Proceedings of the Network and System Security - 12th International Conference, 2018

A Cross-Chain Solution to Integration of IoT Tangle for Data Access Management.
Proceedings of the IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2018

Slop: Towards an Efficient and Universal Streaming Log Parser.
Proceedings of the Information and Communications Security - 20th International Conference, 2018

DeepMatching: A Structural Seed Identification Framework for Social Network Alignment.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

RPchain: A Blockchain-Based Academic Social Networking Service for Credible Reputation Building.
Proceedings of the Blockchain - ICBC 2018, 2018

2017
From online to offline: Charactering user's online music listening behavior for efficacious offline radio program arrangement.
Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017

Characterizing the Impacts of Application Layer DDoS Attacks.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

From micro to macro: Propagated constraints in social networks.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

2016
Modeling heterogeneous and correlated human dynamics of online activities with double Pareto distributions.
Inf. Sci., 2016

Modeling User Browsing Activity for Application Layer DDoS Attack Detection.
Proceedings of the Security and Privacy in Communication Networks, 2016

2015
MUCM: Multilevel User Cluster Mining Based on Behavior Profiles for Network Monitoring.
IEEE Syst. J., 2015

2014
A New Way for User's Web Communication Visualization and Measurement: Modeling, Experiment and Application.
IEICE Trans. Commun., 2014

2012
Who are active? An in-depth measurement on user activity characteristics in sina microblogging.
Proceedings of the 2012 IEEE Global Communications Conference, 2012


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