Huaming Chen
Orcid: 0000-0001-5678-472X
According to our database1,
Huaming Chen
authored at least 87 papers
between 2013 and 2024.
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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
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
CoRR, 2024
Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo Labeling.
CoRR, 2024
CoRR, 2024
Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning.
CoRR, 2024
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
Proceedings of the 17th ACM/IEEE International Workshop on Search-Based and Fuzz Testing, 2024
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
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
Proceedings of the Forty-first International Conference on Machine Learning, 2024
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
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
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
ACM Comput. Surv., 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
CoRR, 2023
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
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
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
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
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
Proceedings of the 19th IEEE/ACM International Conference on Mining Software Repositories, 2022
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
J. Ambient Intell. Humaniz. Comput., 2020
Int. J. Inf. Manag., 2020
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
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
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
Neural Comput. Appl., 2018
J. Sens. Actuator Networks, 2018
Neurocomputing, 2018
Structural Principles Analysis of Host-Pathogen Protein-Protein Interactions: A Structural Bioinformatics Survey.
IEEE Access, 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
J. Supercomput., 2017
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
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
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
Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016
2015
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
Proceedings of the Frontier and Innovation in Future Computing and Communications, 2014
2013
Proceedings of the 42nd International Conference on Parallel Processing, 2013
Proceedings of the 19th IEEE International Conference on Parallel and Distributed Systems, 2013
Proceedings of the International Joint Conference on Awareness Science and Technology & Ubi-Media Computing, 2013