Huaming Chen

Orcid: 0000-0001-5678-472X

According to our database1, Huaming Chen authored at least 87 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
Security for Machine Learning-based Software Systems: A Survey of Threats, Practices, and Challenges.
ACM Comput. Surv., June, 2024

Global disentangled graph convolutional neural network based on a graph topological metric.
Knowl. Based Syst., 2024

Contribution-wise Byzantine-robust aggregation for Class-Balanced Federated Learning.
Inf. Sci., 2024

CAKD: A Correlation-Aware Knowledge Distillation Framework Based on Decoupling Kullback-Leibler Divergence.
CoRR, 2024

RGD: Multi-LLM Based Agent Debugger via Refinement and Generation Guidance.
CoRR, 2024

Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks.
CoRR, 2024

From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future.
CoRR, 2024

Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges.
CoRR, 2024

Fairpriori: Improving Biased Subgroup Discovery for Deep Neural Network Fairness.
CoRR, 2024

Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo Labeling.
CoRR, 2024

On Security Weaknesses and Vulnerabilities in Deep Learning Systems.
CoRR, 2024

DMS: Addressing Information Loss with More Steps for Pragmatic Adversarial Attacks.
CoRR, 2024

Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning.
CoRR, 2024

Benchmarking Transferable Adversarial Attacks.
CoRR, 2024

Large Language Models Based Fuzzing Techniques: A Survey.
CoRR, 2024

GEMF: a novel geometry-enhanced mid-fusion network for PLA prediction.
Briefings Bioinform., 2024

GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

SBFT Tool Competition 2024 - Fuzzing Track.
Proceedings of the 17th ACM/IEEE International Workshop on Search-Based and Fuzz Testing, 2024

Code Ownership in Open-Source AI Software Security.
Proceedings of the 2nd International Workshop on Responsible AI Engineering, 2024

Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks.
Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

Enhancing Model Interpretability with Local Attribution over Global Exploration.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

FDNet: Frequency Domain Denoising Network For Cell Segmentation In Astrocytes Derived From Induced Pluripotent Stem Cells.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Iterative Search Attribution for Deep Neural Networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

AttEXplore: Attribution for Explanation with model parameters eXploration.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Enhancing Transferable Adversarial Attacks on Vision Transformers through Gradient Normalization Scaling and High-Frequency Adaptation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Holistic Evaluation Metrics for Federated Learning.
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

Trustworthy and Responsible AI for Information and Knowledge Management System.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Improving Adversarial Transferability via Frequency-Guided Sample Relevance Attack.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Data Hiding With Deep Learning: A Survey Unifying Digital Watermarking and Steganography.
IEEE Trans. Comput. Soc. Syst., December, 2023

A Survey on Data-driven Software Vulnerability Assessment and Prioritization.
ACM Comput. Surv., 2023

FairCompass: Operationalising Fairness in Machine Learning.
CoRR, 2023

Honest Score Client Selection Scheme: Preventing Federated Learning Label Flipping Attacks in Non-IID Scenarios.
CoRR, 2023

Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models.
CoRR, 2023

Handling Heavy Occlusion in Dense Crowd Tracking by Focusing on the Heads.
CoRR, 2023

Towards Minimising Perturbation Rate for Adversarial Machine Learning with Pruning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

WirelessDT: A Digital Twin Platform for Real- Time Evaluation of Wireless Software Applications.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

Improving Adversarial Transferability via Frequency-based Stationary Point Search.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

FVW: Finding Valuable Weight on Deep Neural Network for Model Pruning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Handling Heavy Occlusion in Dense Crowd Tracking by Focusing on the Heads.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

POSTER: ML-Compass: A Comprehensive Assessment Framework for Machine Learning Models.
Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

DANAA: Towards Transferable Attacks with Double Adversarial Neuron Attribution.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

ICB FL: Implicit Class Balancing Towards Fairness in Federated Learning.
Proceedings of the 2023 Australasian Computer Science Week, 2023

Towards Better ML-Based Software Services: An Investigation of Source Code Engineering Impact.
Proceedings of the IEEE International Conference on Software Services Engineering, 2023

2022
LineVD: Statement-level Vulnerability Detection using Graph Neural Networks.
Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

Noisy Label Learning for Security Defects.
Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022

2021
Systematic evaluation of machine learning methods for identifying human-pathogen protein-protein interactions.
Briefings Bioinform., 2021

2020
A framework towards data analytics on host-pathogen protein-protein interactions.
J. Ambient Intell. Humaniz. Comput., 2020

An intelligent blockchain-based system for safe vaccine supply and supervision.
Int. J. Inf. Manag., 2020

A novel Monte Carlo-based neural network model for electricity load forecasting.
Int. J. Embed. Syst., 2020

APEX2S: A two-layer machine learning model for discovery of host-pathogen protein-protein interactions on cloud-based multiomics data.
Concurr. Comput. Pract. Exp., 2020

Mechanical properties of the grooved-wheel drilling particles under multivariate interaction influenced based on 3D printing and EDEM simulation.
Comput. Electron. Agric., 2020

Towards A More Effective Bidirectional LSTM-Based Learning Model for Human-Bacterium Protein-Protein Interactions.
Proceedings of the Practical Applications of Computational Biology & Bioinformatics, 2020

Evolutionary Learner Profile Optimization Using Rare and Negative Association Rules for Micro Open Learning.
Proceedings of the Intelligent Tutoring Systems - 16th International Conference, 2020

HIME: Mining and Ensembling Heterogeneous Information for Protein-Protein Interactions Prediction.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Towards Industrial Internet of Things in Steel Manufacturing: A Multiple-Factor-based Detection System of Longitudinal Surface Cracks.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Saec: similarity-aware embedding compression in recommendation systems.
Proceedings of the APSys '20: 11th ACM SIGOPS Asia-Pacific Workshop on Systems, 2020

A Service Computing Framework for Proteomics Analysis and Collaboration of Pathogenic Mechanism Studies.
Proceedings of the 2020 IEEE International Conference on Services Computing, 2020

2019
Saec: Similarity-Aware Embedding Compression in Recommendation Systems.
CoRR, 2019

Leveraging SMOTE in a Two-Layer Model for Prediction of Protein-Protein Interactions.
Proceedings of the Seventh International Conference on Advanced Cloud and Big Data, 2019

Hyperparameter Estimation in SVM with GPU Acceleration for Prediction of Protein-Protein Interactions.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Effective long-term travel time prediction with fuzzy rules for tollway.
Neural Comput. Appl., 2018

Real-Time Management of Groundwater Resources Based on Wireless Sensors Networks.
J. Sens. Actuator Networks, 2018

GVM based intuitive simulation web application for collision detection.
Neurocomputing, 2018

Structural Principles Analysis of Host-Pathogen Protein-Protein Interactions: A Structural Bioinformatics Survey.
IEEE Access, 2018

Ensemble Machine Learning Systems for the Estimation of Steel Quality Control.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Towards Biological Sequence Data Service with Insights.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Intelligent monitor system based on cloud and convolutional neural networks.
J. Supercomput., 2017

Adaptive Time Taps of STAP Under Channel Mismatch for GNSS Antenna Arrays.
IEEE Trans. Instrum. Meas., 2017

A New Model of Effective Carrier-to-Noise Ratio for Global Navigation Satellite System Receiver in the Presence of Continuous Wave Interference.
IEICE Trans. Commun., 2017

Parallel GPU-based collision detection of irregular vessel wall for massive particles.
Clust. Comput., 2017

Collaborative data analytics towards prediction on pathogen-host protein-protein interactions.
Proceedings of the 21st IEEE International Conference on Computer Supported Cooperative Work in Design, 2017

Quantitative Measurement of Respiratory Split in the Second Heart Sound.
Proceedings of the Computing in Cardiology, 2017

Leveraging Stacked Denoising Autoencoder in Prediction of Pathogen-Host Protein-Protein Interactions.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017

Towards Elucidating the Structural Principles of Host-Pathogen Protein-Protein Interaction Networks: A Bioinformatics Survey.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017

Neural network model with Monte Carlo algorithm for electricity demand forecasting in Queensland.
Proceedings of the Australasian Computer Science Week Multiconference, 2017

Assisting Open Education Resource Providers and Instructors to Deal with Cold Start Problem in Adaptive Micro Learning: A Service Oriented Solution.
Proceedings of the 2017 IEEE International Conference on Services Computing, 2017

2016
A Local Field Correlated and Monte Carlo Based Shallow Neural Network Model for Nonlinear Time Series Prediction.
EAI Endorsed Trans. Scalable Inf. Syst., 2016

An Evaluation of the Dynamics of Diluted Neural Network.
Int. J. Comput. Intell. Syst., 2016

Classification of Normal/Abnormal Heart Sound Recordings based on Multi-Domain Features and Back Propagation Neural Network.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

Towards Data Analytics of Pathogen-Host Protein-Protein Interaction: A Survey.
Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016

2015
RCSoS: An IEC 61508 Compatible Server Model for Reliable Communication.
J. Signal Process. Syst., 2015

Supervised Machine Learning Model for High Dimensional Gene Data in Colon Cancer Detection.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

2014
Cloud Services Aided e-Tourism: In the Case of Low-Cost Airlines for Backpacking.
Proceedings of the Frontier and Innovation in Future Computing and Communications, 2014

2013
A Server Model for Reliable Communication on Cell/B.E.
Proceedings of the 42nd International Conference on Parallel Processing, 2013

Cloud Services Aided E-Tourism: In the Case of Low-Cost Airlines for Backpacking.
Proceedings of the 19th IEEE International Conference on Parallel and Distributed Systems, 2013

The communication model between humanoid robot and mobile phone.
Proceedings of the International Joint Conference on Awareness Science and Technology & Ubi-Media Computing, 2013


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