Haizhou Wang

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2026
Detecting Avalanche Effect in Adversarial Settings: Spotting the Encryption Loops in Ransomware.
CoRR, April, 2026

TRACE-Bot: Detecting Emerging LLM-Driven Social Bots via Implicit Semantic Representations and AIGC-Enhanced Behavioral Patterns.
CoRR, April, 2026

An Elastic Federated Learning Collaboration Framework for Computing-Constrained IoT.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., March, 2026

Differentiation Between Faults and Cyberattacks through Combined Analysis of Cyberspace Logs and Physical Measurements.
CoRR, January, 2026

Identifying Non-Control Security-Critical Data Through Program Dependence Learning.
IEEE Trans. Dependable Secur. Comput., 2026

2025
Deep Pathomic Learning Defines Prognostic Subtypes and Molecular Drivers in Colorectal Cancer.
CoRR, November, 2025

DESCG: data encoding scheme classification with GNN in binary analysis.
Autom. Softw. Eng., November, 2025

An In Situ Mechatronic Instrument for Real-Time Sensing Slip Information of Cam Roller Bearings.
IEEE Trans. Instrum. Meas., 2025

Latency-Aware Client Selection and Energy Management for Hierarchical Federated Learning.
IEEE Internet Things J., 2025

DDML: Multi-Student Knowledge Distillation for Hate Speech.
Entropy, 2025

Deep Learning Assisted Reverse Engineering: Recognizing Encryption Loops in Ransomware.
Proceedings of the 24th IEEE International Conference on Trust, 2025

MFGAF: Multi-faceted Granular Analysis Framework for LLM-Generated Text Detection.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

Multi-Width Neural Network-Assisted Hierarchical Federated Learning in Heterogeneous Cloud-Edge-Device Computing.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

See Beyond: Benchmarking MLLMs' Visual Relational Reasoning Ability.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2025, 2025

From Scores to Careers: Understanding AI's Role in Supporting Collaborative Family Decision-Making in Chinese College Applications.
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

2024
From Score-Driven to Value-Sharing: Understanding Chinese Family Use of AI to Support Decision Making of College Applications.
CoRR, 2024

Unmasking the Shadows: Pinpoint the Implementations of Anti-Dynamic Analysis Techniques in Malware Using LLM.
CoRR, 2024

Hide Your Malicious Goal Into Benign Narratives: Jailbreak Large Language Models through Neural Carrier Articles.
CoRR, 2024

A hybrid LLM workflow can help identify user privilege related variables in programs of any size.
CoRR, 2024

2023
MBSNN: A multi-branch scalable neural network for resource-constrained IoT devices.
J. Syst. Archit., September, 2023

An Efficient Architecture for Imputing Distributed Data Sets of IoT Networks.
IEEE Internet Things J., September, 2023

Tackling imbalanced data in cybersecurity with transfer learning: a case with ROP payload detection.
Cybersecur., 2023

Multimodal Short Video Rumor Detection System Based on Contrastive Learning.
CoRR, 2023

TKSP: Long-Term Stance Prediction for Social Media Users by Fusing Time Series Features and Event Dynamic Evolution Knowledge.
Proceedings of the Knowledge Science, Engineering and Management, 2023

2022
dbDEMC 3.0: Functional Exploration of Differentially Expressed miRNAs in Cancers of Human and Model Organisms.
Genom. Proteom. Bioinform., 2022

Improving IoT data availability via feedback- and voting-based anomaly imputation.
Future Gener. Comput. Syst., 2022

Multi-Access Edge Computing using Mode Division Multiple Access.
Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022

2021
Many-to-Many Matching-Theory-Based Dynamic Bandwidth Allocation for UAVs.
IEEE Internet Things J., 2021

Identifying Non-Control Security-Critical Data in Program Binaries with a Deep Neural Model.
CoRR, 2021

Tackling Imbalanced Data in Cybersecurity with Transfer Learning: A Case with ROP Payload Detection.
CoRR, 2021

Three-Sided Matching Game Based Joint Bandwidth and Caching Resource Allocation for UAVs.
Proceedings of the 10th IEEE/CIC International Conference on Communications in China, 2021

2020
DeepReturn: A deep neural network can learn how to detect previously-unseen ROP payloads without using any heuristics.
J. Comput. Secur., 2020

Using deep learning to solve computer security challenges: a survey.
Cybersecur., 2020

Statistical Analysis of Inter-attribute Relationships in Unfractionated Heparin Injection Problems.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2017
On Content Diffusion Modelling in Information-Centric Networks.
Proceedings of the 2017 IEEE Global Communications Conference, 2017

2016
Accelerating Surgical Simulation Development via OpenSurgSim: Burr Hole Trainer.
Proceedings of the Medicine Meets Virtual Reality 22 - NextMed, 2016

2013
Evaluation of Lauge-Hansen classification for ankle fractures and follow-up management.
Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2011
Ckmeans.1d.dp: Optimal k-means Clustering in One Dimension by Dynamic Programming.
R J., 2011


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