We take our work seriously. Distilled AI scientists frequently publish findings for the broader AI/ML community. Below, we’ve assembled a list of readings that will enrich your understanding of the current landscape and give you an inside look at some of the work our amazing team of researchers and engineers produced.
**Denotes materials are written in part or sum by members of the Distilled Foundation’s core.
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 |