Publication title | Year | Private Intelligence relation | Link | Conference/Journal | Author(s) from Distilled Foundation | How the work relates to Private Intelligence | Gained Experience |
|---|---|---|---|---|---|---|---|
Backdoor attacks and defenses in federated learning: Survey, challenges and future research directions | 2024 | DIRECT | scholar.google.com | Engineering Applications of Artificial Intelligence 127, 107166 | P Le Nguyen | Survey and discuss attacks and defenses of fine-tuning AI in a safe and private manner | |
Boosting Offline Optimizers with Surrogate Sensitivity | 2024 | DIRECT | scholar.google.com | Forty-first International Conference on Machine Learning | P Le Nguyen | A distillation protocol that approximates a more complex or black-box model to a surrogate model | |
GAMMA: A universal model for calibrating sensory data of multiple low-cost air monitoring devices | 2024 | INDIRECT | scholar.google.com | Engineering Applications of Artificial Intelligence 128, 107591 | P Le Nguyen | Calibrating sensory data (air quality) from multiple devices simultaneously. This experience can be valuable in distilling knowledge from multiple sources for Private data construction. | |
A survey of privacy-preserving model explanations: Privacy risks, attacks, and countermeasures | 2024 | DIRECT | scholar.google.com | arXiv preprint arXiv:2404.00673 | P Le Nguyen | Surveying AI Privacy and Explanability and discusses methods to implement privacy-preserving AI | |
A data-driven approach for high accurate spatiotemporal precipitation estimation | 2024 | INDIRECT | scholar.google.com | Neural Computing and Applications 36 (11), 6099-6118 | P Le Nguyen | Distilling spatial data from multiple sources | |
Self-supervised air quality estimation with graph neural network assistance and attention enhancement | 2024 | INDIRECT | scholar.google.com | Neural Computing and Applications, 1-23 | P Le Nguyen | Distilling spatial data with a self-supervised method | |
Zero-shot Pill-Prescription Matching with Graph Convolutional Network and Contrastive Learning | 2024 | INDIRECT | scholar.google.com | IEEE Access | P Le Nguyen | Working with drug pill (health care) data | |
Combating Quality Distortion in Federated Learning with Collaborative Data Selection | 2024 | INDIRECT | scholar.google.com | Pacific-Asia Conference on Knowledge Discovery and Data Mining, 182-193 | P Le Nguyen | Combating low-quality data in federating learing | |
Fuzzy Q-Learning-Based Opportunistic Communication for MEC-Enhanced Vehicular Crowdsensing | 2024 | INDIRECT | scholar.google.com | arXiv e-prints, arXiv: 2405.01057 | P Le Nguyen | Proposing offload strategy for Q-learning (a reinforcement learning technique) with Fuzzy logic | |
Enhancing the Generalization of Personalized Federated Learning with Multi-head Model and Ensemble Voting | 2024 | DIRECT | scholar.google.com | 2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS) | P Le Nguyen | A generalized method for personalized Federated Learning: training personalized models for individual clients without substantial data barrier. | |
Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience | 2024 | DIRECT | scholar.google.com | arXiv preprint arXiv:2405.18040 | P Le Nguyen | Emphasizing on "unlearning" (the right to be forgotten) of personal data on trained models and combating data poisoning attacks. | |
Heterogeneous Hypergraph Embedding for Recommendation Systems | 2024 | INDIRECT | scholar.google.com | arXiv preprint arXiv:2407.03665 | P Le Nguyen | A recommendation method using heterogeneous knowledge graph in order to incorporate rich semantic information | |
Higher-order knowledge-enhanced recommendation with heterogeneous hypergraph multi-attention | 2024 | INDIRECT | scholar.google.com | Information Sciences 680, 121165 | P Le Nguyen | Enhancing recommendation system with knowledge graph | |
Realistic Evaluation of Toxicity in Large Language Models | 2024 | DIRECT | arxiv.org | ACL Findings | Linh Ngo VanTinh Son Luong | Evaluating toxicity in LLM models | |
ToVo: Toxicity Taxonomy via Voting | 2024 | DIRECT | arxiv.org | (Submitting) | Diep NguyenLinh Ngo VanTinh Son Luong | A distillation protocol to create an LLM model from multiple LLM models, specialized on toxicity-preventive | |
Q-learning-based distributed multi-charging algorithm for large-scale WRSNs | 2023 | INDIRECT | scholar.google.com | Nonlinear Theory and Its Applications, IEICE 14 (1), 18-34 | P Le Nguyen | A reinforcement learning algorithm | |
A Q-learning-based Multipath Scheduler for Data Transmission Optimization in Heterogeneous Wireless Networks | 2023 | INDIRECT | scholar.google.com | IEEE 20th Consumer Communications & Networking Conference (CCNC), 573-578 | P Le Nguyen | A reinforcement learning algorithm | |
Efficient integration of multi-order dynamics and internal dynamics in stock movement prediction | 2023 | INDIRECT | scholar.google.com | Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining | P Le Nguyen | A deep learning algorithm with hypergraph attention | |
Multimodal contrastive learning for diagnosing cardiovascular diseases from electrocardiography (ECG) signals and patient metadata | 2023 | INDIRECT | scholar.google.com | arXiv preprint arXiv:2304.11080 | P Le Nguyen | Multimodal deep learning algorithm | |
Cadis: Handling cluster-skewed non-iid data in federated learning with clustered aggregation and knowledge distilled regularization | 2023 | INDIRECT | scholar.google.com | IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid) | P Le Nguyen | Handling non-iid data in federated learning | |
Learning Robust and Consistent Time Series Representations: A Dilated Inception-Based Approach | 2023 | INDIRECT | scholar.google.com | arXiv preprint arXiv:2306.06579 | P Le Nguyen | An improve encoding algorithm for time series data | |
Fedgrad: Mitigating backdoor attacks in federated learning through local ultimate gradients inspection | 2023 | INDIRECT | scholar.google.com | International Joint Conference on Neural Networks (IJCNN), 01-10 | P Le Nguyen | A backdoor defense algorithm for federated learning | |
Poisoning GNN-based recommender systems with generative surrogate-based attacks | 2023 | INDIRECT | scholar.google.com | ACM Transactions on Information Systems | P Le Nguyen | An attack method to graph neural network-based recommendation system | |
A Robust Document Localization Solution with Segmentation and Clustering | 2023 | INDIRECT | scholar.google.com | International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems | P Le Nguyen | A deep learning method to locate document boundary in images | |
A Data-Driven Scheduling Strategy for Mobile Air Quality Monitoring Devices | 2023 | INDIRECT | scholar.google.com | Asian Conference on Intelligent Information and Database Systems, 74-86 | P Le Nguyen | A deep learning method for IoT air quality monitoring with energy conservation and quality assurance | |
A Deep Reinforcement Learning-Based Multi-objective Optimization for Crowdsensing-Based Air Quality Monitoring Systems | 2023 | INDIRECT | scholar.google.com | Asian Conference on Intelligent Information and Database Systems, 436-448 | P Le Nguyen | A deep reinforcement learning method for crowdsending data | |
Investigating the Role of Speaker Counter in Handling Overlapping Speeches in Speaker Diarization Systems | 2023 | DIRECT | scholar.google.com | Authorea Preprints | P Le Nguyen | A method to analyze speech data for speaker diarization | |
FedDCT: Federated Learning of Large Convolutional Neural Networks on Resource Constrained Devices using Divide and Collaborative Training | 2023 | INDIRECT | scholar.google.com | IEEE Transactions on Network and Service Management | P Le Nguyen | A federated learning for large convolutional neural network | |
High accurate and explainable multi-pill detection framework with graph neural network-assisted multimodal data fusion | 2023 | INDIRECT | scholar.google.com | Plos one 18 (9), e0291865 | P Le Nguyen | A graph neural network algorithm to recognize drug pill image data | |
Attentional ensemble model for accurate discharge and water level prediction with training data enhancement | 2023 | INDIRECT | scholar.google.com | Engineering Applications of Artificial Intelligence 126, 107073 | P Le Nguyen | An ensembling algorithm | |
SEM: A Simple Yet Efficient Model-agnostic Local Training Mechanism to Tackle Data Sparsity and Scarcity in Federated Learning | 2023 | INDIRECT | scholar.google.com | 2023 Eleventh International Symposium on Computing and Networking (CANDAR) | P Le Nguyen | ||
Perpetual Sensor Networks with the Minimum Number of Mobile Chargers | 2023 | INDIRECT | scholar.google.com | Proceedings of the 12th International Symposium on Information and Communication Technology | P Le Nguyen | A dynamic programming algorithm | |
A Novel Approach for Extracting Key Information from Vietnamese Prescription Images | 2023 | INDIRECT | scholar.google.com | Proceedings of the 12th International Symposium on Information and Communication Technology | P Le Nguyen | A method for key information extraction from image data | |
A Q-Learning-based Energy Efficiency Optimization in LoRa Networks | 2023 | INDIRECT | scholar.google.com | Proceedings of the 12th International Symposium on Information and Communication Technology | P Le Nguyen | An optimization method based on Q-Learning reinforcement learning | |
A Gaussian Distribution Labeling Method for Speech Quality Assessment | 2023 | DIRECT | scholar.google.com | International Conference on Computational Data and Social Networks, 27-38 | P Le Nguyen | A method to assess speech quality | |
An Evaluation of IoT Device Performance in Ethereum-Based IoT System | 2023 | INDIRECT | scholar.google.com | RIVF International Conference on Computing and Communication | P Le Nguyen | Evaluating IoT device performance on a Ethereum-based system | |
SAFL: A Self-Attention Scene Text Recognizer with Focal Loss | 2022 | INDIRECT | scholar.google.com | arXiv e-prints, arXiv: 2201.00132 | P Le Nguyen | A deep learning model with self-attention to recognize scene text | |
Multi-stream fusion for class incremental learning in pill image classification | 2022 | INDIRECT | scholar.google.com | Proceedings of the Asian Conference on Computer Vision, 4565-4580 | P Le Nguyen | A class incremental learning for image classification task | |
Feddct: Federated learning of large convolutional neural networks on resource constrained devices using divide and co-training | 2022 | INDIRECT | scholar.google.com | arXiv preprint arXiv:2211.10948 | P Le Nguyen | A federated learning algorithm for large convolutional neural network on resource constrained devices | |
Constant approximation for opportunistic sensing in mobile air quality monitoring system | 2022 | INDIRECT | scholar.google.com | Computer Networks 202, 108646 | P Le Nguyen | An optimization algorithm with constant approximation | |
Spatial-temporal coverage maximization in vehicle-based mobile crowdsensing for air quality monitoring | 2022 | INDIRECT | scholar.google.com | IEEE Wireless Communications and Networking Conference (WCNC), 1449-1454 | P Le Nguyen | An optimization for spatial-temporal data | |
Deep reinforcement learning-based offloading for latency minimization in 3-tier v2x networks | 2022 | INDIRECT | scholar.google.com | IEEE Wireless Communications and Networking Conference (WCNC), 1803-1808 | P Le Nguyen | A deep reinforcement learning method | |
VAIPE-P: A Dataset and Benchmark for Few-Shot Pill Detection | 2022 | INDIRECT | scholar.google.com | P Le Nguyen | An open-source dataset | ||
Fuzzy q-learning-based opportunistic communication for mec-enhanced vehicular crowdsensing | 2022 | INDIRECT | scholar.google.com | IEEE Transactions on Network and Service Management 19 (4), 5021-5033 | P Le Nguyen | A reinforcement learning method with Fuzzy logic | |
A Deep Reinforcement Learning-based Adaptive Charging Policy for Wireless Rechargeable Sensor Networks | 2022 | INDIRECT | scholar.google.com | arXiv preprint arXiv:2208.07824 | P Le Nguyen | A deep reinforcement learning method | |
A Survey of Machine Unlearning | 2022 | DIRECT | scholar.google.com | arXiv e-prints, arXiv: 2209.02299 | P Le Nguyen | Surveying machine unlearning methods and challenges | |
Deep Reinforcement Learning-based Charging Algorithm for Target Coverage and Connectivity in WRSNs | 2022 | INDIRECT | scholar.google.com | 2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) | P Le Nguyen | A deep reinforcement learning method | |
A deep reinforcement learning-based adaptive charging policy for wrsns | 2022 | INDIRECT | scholar.google.com | IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems � | P Le Nguyen | A deep reinforcement learning method | |
A reinforcement learning-based multipath scheduling for heterogeneous wireless networks | 2022 | INDIRECT | scholar.google.com | IEEE 8th World Forum on Internet of Things (WF-IoT), 1-2 | P Le Nguyen | ||
A novel approach for pill-prescription matching with gnn assistance and contrastive learning | 2022 | INDIRECT | scholar.google.com | Pacific Rim International Conference on Artificial Intelligence, 261-274 | P Le Nguyen | ||
End-to-end Visual-guided Audio Source Separation with Enhanced Losses | 2022 | DIRECT | scholar.google.com | 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) | P Le Nguyen | An end-to-end method for visual-guided audio source separation | |
Accurate discharge and water level forecasting using ensemble learning with genetic algorithm and singular spectrum analysis-based denoising | 2022 | INDIRECT | scholar.google.com | Scientific Reports 12 (1), 19870 | P Le Nguyen | An ensemble learning with genetic algorithm | |
Image-based contextual pill recognition with medical knowledge graph assistance | 2022 | INDIRECT | scholar.google.com | Asian Conference on Intelligent Information and Database Systems, 354-369 | P Le Nguyen | A deep learning model with knowledge graph | |
A Lightweight and Efficient GA-Based Model-Agnostic Feature Selection Scheme for Time Series Forecasting | 2022 | INDIRECT | scholar.google.com | Asian Conference on Intelligent Information and Database Systems, 26-39 | P Le Nguyen | A time series forecasting method | |
Unsupervised Air Quality Interpolation with Attentive Graph Neural Network | 2022 | INDIRECT | scholar.google.com | Proceedings of the 11th International Symposium on Information and Communication Technology | P Le Nguyen | An attention mechanism for graph neural network | |
Evolutionary Algorithm For Task Offloading In Vehicular Fog Computing | 2022 | INDIRECT | scholar.google.com | Journal of Computer Science and Cybernetics 38 (4), 347-364 | P Le Nguyen | An evolutionary algorithm in FOG computing | |
Balancing stability and plasticity when learning topic models from short and noisy text streams | 2022 | DIRECT | scholar.google.com | Neurocomputing | Linh Ngo Van | Learning topic models from short and noisy text streams in order to analyze user's data | |
Reducing Catastrophic Forgetting in Neural Networks via Gaussian Mixture Approximation | 2022 | DIRECT | scholar.google.com | Pacific-Asia Conference on Knowledge Discovery and Data Mining | Linh Ngo Van | A training method to reduce catastrphic forgetting in neural networks | |
Auxiliary Local Variables for Improving Regularization/Prior Approach in Continual Learning | 2022 | DIRECT | scholar.google.com | Pacific-Asia conference on knowledge discovery and data mining | Linh Ngo Van | Improving regularization in continual learning | |
Multilingual SubEvent Relation Extraction: A Novel Dataset and Structure Induction Method | 2022 | DIRECT | scholar.google.com | Findings of the Association for Computational Linguistics: EMNLP 2022 | Linh Ngo Van | A dataset and method for multilingual subevent relation extraction from text data | |
A graph convolutional topic model for short and noisy text streams | 2022 | DIRECT | scholar.google.com | Neurocomputing | Linh Ngo Van | A topic modeling algorithm using graph convolutional neural network | |
From implicit to explicit feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users | 2022 | DIRECT | scholar.google.com | Neurocomputing | Linh Ngo Van | Modeling sequential behaviours and short-term preferences from user data using deep neural network. | |
Unsupervised Domain Adaptation for Text Classification via Meta Self-Paced Learning | 2022 | DIRECT | scholar.google.com | Proceedings of the 29th International Conference on Computational Linguistics (COLING) | Linh Ngo Van | An unsupervised domain adaptation method for text classification | |
Selecting Optimal Context Sentences for Event-Event Relation Extraction | 2022 | DIRECT | scholar.google.com | Proceedings of the AAAI conference on artificial intelligence | Linh Ngo Van | Modeling document-level context to extract subevent relation and temporal event relation in text data. | |
Efficient prediction of discharge and water levels using ensemble learning and singular-spectrum analysis-based denoising | 2021 | INDIRECT | scholar.google.com | Advances and Trends in Artificial Intelligence. From Theory to Practice: 34th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, Kuala Lumpur, Malaysia, July 26�29, 2021, Proceedings, Part II 34 | P Le Nguyen | An ensemble learning method | |
Node Deployment Optimization for Target Coverage and Connectivity in WSNs with a Delay-Constrained Mobile Sink | 2021 | INDIRECT | scholar.google.com | 2020 IEEE Eighth International Conference on Communications and Electronics (ICCE) | P Le Nguyen | An optimization method | |
(1 + ?)2-and Polynomial-Time Approximation Algorithms for Network Lifetime Maximization With Relay Hop Bounded Connected Target Coverage in WSNsP | 2021 | INDIRECT | scholar.google.com | IEEE Sensors Journal 21 (7), 9577-9599 | P Le Nguyen | An approximation algorithm | |
PM2. 5 prediction using genetic algorithm-based feature selection and encoder-decoder model | 2021 | INDIRECT | scholar.google.com | IEEE Access 9, 57338-57350 | P Le Nguyen | A encoder-decoder method using genetic algorithm-based feature selection | |
Energy-efficient routing in the proximity of a complicated hole in wireless sensor networks | 2021 | INDIRECT | scholar.google.com | Wireless Networks 27 (4), 3073-3089 | P Le Nguyen | A routing algorithm | |
Multi-time-step segment routing based traffic engineering leveraging traffic prediction | 2021 | INDIRECT | scholar.google.com | 2021 IFIP/IEEE International Symposium on Integrated Network Management (IM) | P Le Nguyen | A routing algorithm leveraging prediction | |
GCRINT: network traffic imputation using graph convolutional recurrent neural network | 2021 | INDIRECT | scholar.google.com | IEEE International Conference on Communications, 1-6 | P Le Nguyen | A graph convolutional recurrent neural network | |
An on-demand charging for connected target coverage in WRSNs using fuzzy logic and Q-learning | 2021 | INDIRECT | scholar.google.com | Sensors 21 (16), 5520 | P Le Nguyen | A reinforcement learning with fuzzy logic | |
MC-OCR challenge 2021: A multi-modal approach for mobile-captured vietnamese receipts recognition | 2021 | INDIRECT | scholar.google.com | 2021 RIVF International Conference on Computing and Communication Technologies (RIVF) | P Le Nguyen | An open-source dataset | |
QIH: An efficient Q-learning inspired hole-bypassing routing protocol for WSNs | 2021 | INDIRECT | scholar.google.com | IEEE Access 9, 123414-123429 | P Le Nguyen | A routing method with reinforcement learning | |
Visual-guided audio source separation: an empirical study | 2021 | DIRECT | scholar.google.com | International Conference on Multimedia Analysis and Pattern Recognition � | P Le Nguyen | A study on visual-guided audio source separation | |
Usability and aesthetics: Better together for automated repair of web pages | 2021 | INDIRECT | scholar.google.com | IEEE 32nd International Symposium on Software Reliability Engineering | P Le Nguyen | A meta-heuristic algorithm to automating UI responsiveness for devices | |
Joint optimization of charging location and time for network lifetime extension in WRSNs | 2021 | INDIRECT | scholar.google.com | IEEE Transactions on Green Communications and Networking 6 (2), 1186-1197 | P Le Nguyen | An optimization algorithm | |
Q-learning-based opportunistic communication for real-time mobile air quality monitoring systems | 2021 | INDIRECT | scholar.google.com | IEEE International Performance, Computing, and Communications | P Le Nguyen | An optimization algorithm | |
Speaker count: a new building block for speaker diarization | 2021 | DIRECT | scholar.google.com | Asia-Pacific Signal and Information Processing Association Annual | P Le Nguyen | Counting speaker in speaker diarization | |
Dynamic Transformation of Prior Knowledge Into Bayesian Models for Data Streams | 2021 | DIRECT | scholar.google.com | IEEE Transactions on Knowledge and Data Engineering | Linh Ngo Van | Transforming prior knowledge from data streams to Bayesian models | |
Boosting prior knowledge in streaming variational Bayes | 2021 | DIRECT | scholar.google.com | Neurocomputing | Linh Ngo Van | Streaming prior knowledge to Variational Bayesian model | |
A reinforcement learning algorithm for resource provisioning in mobile edge computing network | 2020 | INDIRECT | scholar.google.com | International Joint Conference on Neural Networks (IJCNN), 1-7 | P Le Nguyen | A reinforcement learning algorithm | |
Optimizing charging locations and charging time for energy depletion avoidance in wireless rechargeable sensor networks | 2020 | INDIRECT | scholar.google.com | IEEE Congress on Evolutionary Computation (CEC), 1-8 | P Le Nguyen | ||
Q-learning-based, Optimized On-demand Charging Algorithm in WRSNP | 2020 | INDIRECT | scholar.google.com | IEEE 19th International Symposium on Network Computing and Applications | P Le Nguyen | An reinforcement learning algorithm | |
An -Approximation Algorithm for Maximizing Coverage Capability in Mobile Air Quality Monitoring Systems | 2020 | INDIRECT | scholar.google.com | IEEE 19th International Symposium on Network Computing and Applications | P Le Nguyen | An approximation algorithm | |
Optimal deployment of vehicular mobile air quality monitoring systems | 2020 | INDIRECT | scholar.google.com | 7th NAFOSTED Conference on Information and Computer Science (NICS), 427-432 | P Le Nguyen | An optimization algorithm | |
SAFL: A self-attention scene text recognizer with focal loss | 2020 | INDIRECT | scholar.google.com | 19th IEEE International Conference on Machine Learning and Applications | P Le Nguyen | A self-attention mechanism for scene text recognition | |
Bag of biterms modeling for short texts | 2020 | DIRECT | scholar.google.com | Knowledge and Information Systems | Linh Ngo Van | Modeling short texts using bag of biterms | |
From implicit to explicit feedback: A deep neural network for modeling the sequential behavior of online users | 2019 | DIRECT | scholar.google.com | Asian Conference on Machine Learning | Linh Ngo Van | Modeling sequential behaviors from user data | |
Employing the correspondence of relations and connectives to identify implicit discourse relations via label embeddings | 2019 | DIRECT | scholar.google.com | Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics | Linh Ngo Van | A multi-task learning framework for implicit discourse relation recognition | |
Eliminating overfitting of probabilistic topic models on short and noisy text: The role of dropout | 2019 | DIRECT | scholar.google.com | International Journal of Approximate Reasoning | Linh Ngo Van | A topic modeling algorithm on short & noisy text | |
An effective and interpretable method for document classification | 2017 | INDIRECT | scholar.google.com | Knowledge and Information Systems | Linh Ngo Van | An interpretable method for document classification | |
Enabling Hierarchical Dirichlet Processes to Work Better for Short Texts at Large Scale | 2016 | INDIRECT | scholar.google.com | Advances in Knowledge Discovery and Data Mining: 20th Pacific-Asia Conference, PAKDD 2016, Auckland, New Zealand, April 19-22, 2016, Proceedings, Part II 20 | Linh Ngo Van | A modeling and classification method for short texts at large scale | |
An interpretable method for text summarization based on simplicial non-negative matrix factorization | 2014 | INDIRECT | scholar.google.com | Proceedings of the 5th Symposium on Information and Communication Technology | Linh Ngo Van | A text summarization using non-negative matrix factorization | |
Collaborative topic model for Poisson distributed ratings | 2018 | DIRECT | scholar.google.com.vn | International Journal of Approximate Reasoning 95, 62-76 | Linh Ngo Van | A content-based collaborative filtering model for recommender system. | |
Keeping priors in streaming Bayesian learning | 2017 | DIRECT | scholar.google.com.vn | Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia � | Linh Ngo Van | Keeping prior knowledge in data stream on Bayesian learning | |
Adaptive infinite dropout for noisy and sparse data streams | 2022 | DIRECT | scholar.google.com.vn | Machine Learning 111 (8), 3025-3060 | Linh Ngo Van | A dropout mechanism to train the modeal in order to overcome various challenges regarding sparse, noisy & concept drifts in data streams | |
Graph convolutional topic model for data streams | 2020 | DIRECT | scholar.google.com.vn | arXiv preprint arXiv:2003.06112 | Linh Ngo Van | A topic modeling method using graph convolutional neural network | |
Retrieving relevant context to align representations for cross-lingual event detection | 2023 | DIRECT | scholar.google.com.vn | Findings of the Association for Computational Linguistics: ACL 2023, 2157-2170 | Linh Ngo Van | A method to align representation in cross-lingual event detection | |
Neural poisson factorization | 2020 | DIRECT | scholar.google.com.vn | IEEE Access 8, 106395-106407 | Linh Ngo Van | Dealing with a sparse users� feedback matrix and short descriptions/contents of items in recommender systems | |
Continual variational dropout: a view of auxiliary local variables in continual learning | 2024 | DIRECT | scholar.google.com.vn | Machine Learning 113 (1), 281-323 | Linh Ngo Van | A dropout mechanism for continual learning | |
A spectral viewpoint on continual relation extraction | 2023 | DIRECT | scholar.google.com.vn | Findings of the Association for Computational Linguistics: EMNLP 2023, 9621-9629 | Linh Ngo Van | A method on continual relation extraction | |
Continual relation extraction via sequential multi-task learning | 2024 | DIRECT | scholar.google.com | Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 18444 � | Linh Ngo Van | A sequential multi-task learning algorithm for continual relation extraction | |
Modeling the sequential behaviors of online users in recommender systems | 2020 | DIRECT | scholar.google.com | Artificial Intelligence and Machine Learning for Multi-Domain Operations � | Linh Ngo Van | Modeling sequential behaviors of online users | |
Enriching user representation in neural matrix factorization | 2019 | INDIRECT | scholar.google.com | 2019 IEEE-RIVF International Conference on Computing and Communication � | Linh Ngo Van | Enriching user representation in recommender systems | |
Reducing class overlapping in supervised dimension reduction | 2018 | INDIRECT | scholar.google.com | Proceedings of the 9th international symposium on information and � | Linh Ngo Van | A supervised dimension reduction for reducing class overlapping | |
Streaming aspect-sentiment analysis | 2016 | DIRECT | scholar.google.com | 2016 IEEE RIVF International Conference on Computing & Communication � | Linh Ngo Van | An aspect-based sentiment analysis method | |
SharpSeq: Empowering Continual Event Detection through Sharpness-Aware Sequential-task Learning | 2024 | DIRECT | scholar.google.com | Proceedings of the 2024 Conference of the North American Chapter of the � | Linh Ngo Van | A continual event detection method | |
Revisiting Supervised Word Embeddings. | 2022 | DIRECT | scholar.google.com | J. Inf. Sci. Eng. 38 (2), 413-427 | Linh Ngo Van | Improving word embeddings for interpretability | |
How to make a machine learn continuously: a tutorial of the Bayesian approach | 2019 | DIRECT | scholar.google.com | Artificial Intelligence and Machine Learning for Multi-Domain Operations � | Linh Ngo Van | A tutorial on continual learning | |
Deep convolutional LSTM network-based traffic matrix prediction with partial information | 2019 | INDIRECT | scholar.google.com | 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM � | P Le Nguyen | A deep convolutional LSTM network with partial information | |
Traffic Engineering in Large-scale Networks via Multi-Agent Deep Reinforcement Learning with Joint-Training | 2024 | INDIRECT | scholar.google.com | 2024 33rd International Conference on Computer Communications and Networks � | P Le Nguyen | Multi-agent deep reinforcement learning for large-scale network | |
A Contrastive Learning and Graph-based Approach for Missing Modalities in Multimodal Federated Learning | 2024 | INDIRECT | scholar.google.com | 2024 International Joint Conference on Neural Networks (IJCNN), 1-8 | P Le Nguyen | Multimodal federated learning | |
Hierarchical Federated Learning in MEC Networks with Knowledge Distillation | 2024 | INDIRECT | scholar.google.com | 2024 International Joint Conference on Neural Networks (IJCNN), 1-8 | P Le Nguyen | Hierachical federated learning with knowledge distillation | |
Decentralized High-Dimensional Bayesian Optimization with Factor Graphs | 2018 | INDIRECT | scholar.google.com | 32nd AAAI Conference on Artificial Intelligence (AAAI-18) | TN Hoang | A decentralized Bayesian optimization method | |
A distributed variational inference framework for unifying parallel sparse Gaussian process regression models | 2016 | DIRECT | scholar.google.com | International Conference on Machine Learning, 382-391 | TN Hoang | Unifying many parallel sparse Gaussian process regression (SGPR) models in training with big data. | |
Model fusion for personalized learning | 2021 | DIRECT | scholar.google.com | International Conference on Machine Learning, 5948-5958 | TN HoangCT Lam | Proposing a new personalized learning framework that synthesizes customized models for unseen tasks via fusion of independently pre-trained models of related tasks | |
Learning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion | 2020 | DIRECT | scholar.google.com | International Conference on Machine Learning (ICML) | TN HoangCT Lam | A fusing method in multi-task scenarios where different experts were trained to solve different tasks and only part of their distilled knowledge is relevant to a new task | |
Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems | 2018 | INDIRECT | scholar.google.com | International Conference on Robotics and Automation (ICRA-18) | TN Hoang | Optimizing policy switching in multi-robot and multi-agent systems which are decentralized and asynchronous | |
Federated estimation of causal effects from observational data | 2021 | INDIRECT | scholar.google.com | arXiv preprint arXiv:2106.00456 | TN Hoang | Estimating causal effects from federated data sources (different private data sources) | |
Bayesian federated estimation of causal effects from observational data | 2022 | DIRECT | scholar.google.com | Uncertainty in Artificial Intelligence, 2024-2034 | TN Hoang | A Bayesian framework for estimating causal effects from federated observational data sources. | |
Aid: Active distillation machine to leverage pre-trained black-box models in private data settings | 2021 | DIRECT | scholar.google.com | Proceedings of the Web Conference 2021, 3569-3581 | TN Hoang | A distillation method to leverage pre-trained black-box models in private data settings. | |
RDPD: rich data helps poor data via imitation | 2018 | DIRECT | scholar.google.com | arXiv preprint arXiv:1809.01921 | TN Hoang | Developing a knowledge distillation method to enhance a predictive model trained on poor data using knowledge distilled from a high-complexity model trained on rich, private data. | |
Incentives in private collaborative machine learning | 2024 | DIRECT | scholar.google.com | Advances in Neural Information Processing Systems 36 | TN Hoang | An incentive mechanism for collaborative machine learning where differential privacy is used as an incentive. | |
Learning personalized item-to-item recommendation metric via implicit feedback | 2022 | INDIRECT | scholar.google.com | International conference on artificial intelligence and statistics, 1062-1077 | TN Hoang | Investigating a personalizable deep metric model that captures both the internal contents of items and how they were interacted with by users. | |
Personalized federated domain adaptation for item-to-item recommendation | 2023 | DIRECT | scholar.google.com | Uncertainty in Artificial Intelligence, 560-570 | TN Hoang | A method for item-to-item with personalized graph adaptation model based on graph neural network | |
CHEER: Rich Model Helps Poor Model via Knowledge Infusion | 2020 | DIRECT | scholar.google.com | TKDE | TN Hoang | A knowledge infusion framework that boosts performance of poor model by leveraging knowledge extracted from existing models trained using rich data in a related environment. | |
Federated Learning: Theory and Practice | 2024 | DIRECT | scholar.google.com | Elsevier | TN Hoang | Introducing multiple aspects regarding theory and implementation of federated learning algorithms as a distributed learning systems with various forms of decentralized data and features. | |
Incentives in federated learning | 2024 | DIRECT | scholar.google.com | Federated Learning, 299-309 | TN Hoang | A book chapter discussing incentive schemes that encourage clients to participate in federated learning and contribute more valuable data: collecting and processing data, computing and communicating model updates, risking the privacy of data via shared model updates. | |
Federated Learning of Models Pretrained | 2020 | DIRECT | scholar.google.com | Handbook of Trustworthy Federated Learning, 289 | TN Hoang | A book chapter discussing federated learning with pretrained models | |
Revising FUNSD dataset for key-value detection in document images | 2020 | INDIRECT | scholar.google.com | arXiv preprint arXiv:2010.05322 | Diep Nguyen | An improved dataset for open-source community | |
State-of-the-art in action: Unconstrained text detection | 2019 | INDIRECT | scholar.google.com | PoB: Toward reasoning patterns of beauty in image data | Diep Nguyen | A review of techniques for processing image data in an unconstrained condition | |
PoB: Toward reasoning patterns of beauty in image data | 2018 | INDIRECT | scholar.google.com | Cross-cultural image database system with impression-based color arrangement | Diep Nguyen | An open-source dataset for recognizing aesthetic patterns in paintings | |
SYSTEM AND METHOD FOR THE CREATION AND THE EXCHANGE OF A COPYRIGHT FOR EACH AI-GENERATED MULTIMEDIA VIA BLOCKCHAIN | 2022 | DIRECT | scholar.google.com | US Patent WO/2022/200,834 | Diep Nguyen | An US and international patent on the creation and exchange of copyright for generated AI content using Blockchain | |
Automatic Building of a Large and Complete Dataset for Image-based Table Structure Recognition | 2021 | INDIRECT | scholar.google.com | VNU Journal of Science: Computer Science and Communication Engineering 37 (2) | Diep Nguyen | An open-source dataset for recognizing table structure from image data | |
B-box-a decentralized storage system using ipfs, attributed-based encryption, and blockchain | 2020 | DIRECT | scholar.google.com.vn | 2020 RIVF International conference on computing and communication � | Chung DaoBL Do | Proposing a decentralized storage system | |
Challenges and strategies for developing decentralized applications based on blockchain technology | 2020 | DIRECT | scholar.google.com.vn | Advanced Information Networking and Applications: Proceedings of the 33rd � | Chung DaoBL Do | Discussing challenges and strategies in developing decentralized applications based on blockchain | |
Towards blockchainizing land valuation certificate management procedures in Vietnam | 2020 | INDIRECT | scholar.google.com.vn | 2020 RIVF International conference on computing and communication � | Chung DaoBL Do | A proposal to use blockchain technology in land valuation certificate management (real-world asset) | |
HPC-Reuse: efficient process creation for running MPI and Hadoop MapReduce on supercomputers | 2016 | INDIRECT | scholar.google.com.vn | 2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid � | Chung Dao | An effective process creation for high performance computer (HPC) with big data | |
Blockchain for Education: Verification and Management of Lifelong Learning Data. | 2022 | DIRECT | scholar.google.com.vn | Computer Systems Science & Engineering 43 (2) | Chung Dao | A method regarding verification and management of lifelong learning data | |
A novel approach for developing decentralized storage and sharing systems | 2021 | DIRECT | scholar.google.com.vn | Proceedings of the 3rd ACM International Symposium on Blockchain and Secure � | Chung DaoBL Do | Proposing a method to develop decentralized storage and sharing systems | |
Real-time Eye tracking Analysis from Large scale Dataset using Cloud computing | 2014 | INDIRECT | scholar.google.com.vn | It�-Suomen yliopisto | Chung Dao | An eye-tracking analysis for large-scale data using cloud-computing | |
Heatmap rendering from large-scale distributed datasets using cloud computing | 2014 | INDIRECT | scholar.google.com.vn | Proceedings of the Symposium on Eye Tracking Research and Applications, 215-218 | Chung Dao | Rendering heatmap for large-scale distributed datasets | |
V-Endpoint: Decentralized Endpoint for Blockchain Applications Based on Spark and Byzantine Consensus | 2022 | DIRECT | scholar.google.com.vn | Proceedings of the 11th International Symposium on Information and � | Chung DaoBL Do | A proposal to build a decentralized gateway endpoint for applications | |
A development platform for embedded domain-specific languages | 2019 | INDIRECT | scholar.google.com.vn | Advanced Software Technologies for Post-Peta Scale Computing: The Japanese � | Chung Dao | Proposing a development platform for embedded domain-specific languages | |
Semem: Deployment of mpi-based in-memory storage for hadoop on supercomputers | 2017 | INDIRECT | scholar.google.com.vn | Euro-Par 2017: Parallel Processing: 23rd International Conference on � | Chung Dao | A deployment method for message passing interface (MPI)-based in-memory for Hadoop on supercomputers | |
BML: A Data Mapping Language for Blockchain Platforms | 2020 | INDIRECT | scholar.google.com.vn | 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) | Chung DaoBL Do | A data mapping language for blockchain platforms | |
System and method to reach consensus in a multi-chain iot environment | 2023 | INDIRECT | scholar.google.com.vn | US Patent App. 17/515,603 | Chung DaoBL Do | An US patent to reach consensus in a multi-chain IoT environment | |
In-memory Hadoop on supercomputers using Memcached-like nodes for data storage only | 2018 | DIRECT | scholar.google.com.vn | 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS) | Chung Dao | A method to handle in-memory Hadoop on supercomputers | |
Effective Deployment of Data-intensive Frameworks on Supercomputers | 2017 | INDIRECT | scholar.google.com.vn | Chung Dao | An effective deployment method for data-intensive frameworks on supercomputers. | ||
In-memory Hadoop on supercomputers using external memory of additional nodes | 2016 | INDIRECT | scholar.google.com.vn | 日本ソフトウェア科学会大会論文集/日本ソフトウェア科学会 編 33, 353-359 | Chung Dao | Processing in-memory Hadoop on supercomputers | |
Improving Hadoop MapReduce Performance on the FX10 supercomputer with JVM Reuse | 2015 | INDIRECT | scholar.google.com.vn | Chung Dao | Improving Hadoop MapReduce performance on supercomputers |