Trung Le
Orcid: 0000-0003-0414-9067
According to our database1,
Trung Le
authored at least 177 papers
between 2010 and 2024.
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Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., November, 2024
Deep Domain Adaptation With Max-Margin Principle for Cross-Project Imbalanced Software Vulnerability Detection.
ACM Trans. Softw. Eng. Methodol., July, 2024
ACM Trans. Softw. Eng. Methodol., March, 2024
AIBugHunter: A Practical tool for predicting, classifying and repairing software vulnerabilities.
Empir. Softw. Eng., February, 2024
CoRR, 2024
Preserving Generalization of Language models in Few-shot Continual Relation Extraction.
CoRR, 2024
CoRR, 2024
PromptDSI: Prompt-based Rehearsal-free Instance-wise Incremental Learning for Document Retrieval.
CoRR, 2024
CoRR, 2024
Removing Undesirable Concepts in Text-to-Image Generative Models with Learnable Prompts.
CoRR, 2024
A Class-aware Optimal Transport Approach with Higher-Order Moment Matching for Unsupervised Domain Adaptation.
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
VulExplainer: A Transformer-Based Hierarchical Distillation for Explaining Vulnerability Types.
IEEE Trans. Software Eng., October, 2023
The Effect of the Number of Hidden Layers on The Performance of Deep Q-Network for Traveling Salesman Problem.
Knowl. Eng. Data Sci., October, 2023
Trans. Mach. Learn. Res., 2023
A deep neural network and Bayesian method based framework for all-terminal network reliability estimation considering degradation.
Reliab. Eng. Syst. Saf., 2023
Class-Prototype Conditional Diffusion Model for Continual Learning with Generative Replay.
CoRR, 2023
KOPPA: Improving Prompt-based Continual Learning with Key-Query Orthogonal Projection and Prototype-based One-Versus-All.
CoRR, 2023
Unleash Data Generation for Efficient and Effective Data-free Knowledge Distillation.
CoRR, 2023
Learning to Quantize Vulnerability Patterns and Match to Locate Statement-Level Vulnerabilities.
CoRR, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Learning Time-Invariant Representations for Individual Neurons from Population Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
AMAG: Additive, Multiplicative and Adaptive Graph Neural Network For Forecasting Neuron Activity.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Cross-Adversarial Local Distribution Regularization for Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Empirical Evaluation of Autoencoder Models for Anomaly Detection in Packet-based NIDS.
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2023
Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
IEEE Trans. Knowl. Data Eng., 2022
Multiple Perturbation Attack: Attack Pixelwise Under Different $\ell_p$-norms For Better Adversarial Performance.
CoRR, 2022
CoRR, 2022
Learning to Counter: Stochastic Feature-based Learning for Diverse Counterfactual Explanations.
CoRR, 2022
An Information-Theoretic and Contrastive Learning-based Approach for Identifying Code Statements Causing Software Vulnerability.
CoRR, 2022
Cross Project Software Vulnerability Detection via Domain Adaptation and Max-Margin Principle.
CoRR, 2022
CoRR, 2022
CoRR, 2022
ARNS: A Data-Driven Approach for SoH Estimation of Lithium-Ion Battery Using Nested Sequence Models With Considering Relaxation Effect.
IEEE Access, 2022
Cycle class consistency with distributional optimal transport and knowledge distillation for unsupervised domain adaptation.
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
Understanding and Achieving Efficient Robustness with Adversarial Contrastive Learning.
CoRR, 2021
Most: multi-source domain adaptation via optimal transport for student-teacher learning.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
TIDOT: A Teacher Imitation Learning Approach for Domain Adaptation with Optimal Transport.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the 39th IEEE International Conference on Computer Design, 2021
Proceedings of the Joint European Conference on Networks and Communications & 6G Summit, 2021
Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
CoRR, 2020
Dual-Component Deep Domain Adaptation: A New Approach for Cross Project Software Vulnerability Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 2020 European Conference on Networks and Communications, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
2019
Knowl. Inf. Syst., 2019
Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions.
CoRR, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection.
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the European Conference on Networks and Communications, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Jointly Predicting Affective and Mental Health Scores Using Deep Neural Networks of Visual Cues on the Web.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the 2018 European Conference on Networks and Communications, 2018
Proceedings of The 10th Asian Conference on Machine Learning, 2018
Proceedings of The 10th Asian Conference on Machine Learning, 2018
2017
J. Mach. Learn. Res., 2017
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017
2016
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Proceedings of the 23rd International Conference on Pattern Recognition, 2016
One-Pass Logistic Regression for Label-Drift and Large-Scale Classification on Distributed Systems.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Proceedings of The 8th Asian Conference on Machine Learning, 2016
2015
Scheduling workloads in a network of datacentres to reduce electricity cost and carbon footprint.
Sustain. Comput. Informatics Syst., 2015
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
2013
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the Neural Information Processing - 19th International Conference, 2012
Maximal Margin Approach to Kernel Generalised Learning Vector Quantisation for Brain-Computer Interface.
Proceedings of the Neural Information Processing - 19th International Conference, 2012
Time Domain Parameters for Online Feedback fNIRS-Based Brain-Computer Interface Systems.
Proceedings of the Neural Information Processing - 19th International Conference, 2012
Proceedings of the FUZZ-IEEE 2012, 2012
2011
BMC Bioinform., 2011
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Proceedings of the Neural Information Processing - 18th International Conference, 2011
2010
Aust. J. Intell. Inf. Process. Syst., 2010
Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010
Proceedings of the International Joint Conference on Neural Networks, 2010
Proceedings of the Neural Information Processing. Models and Applications, 2010
Proceedings of the 2nd European Workshop on Visual Information Processing, 2010