Research

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 Van	Evaluating toxicity in LLM models
ToVo: Toxicity Taxonomy via Voting	2024	DIRECT	arxiv.org	(Submitting)	Diep Nguyen	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 Hoang	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 Hoang	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			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			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			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		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)			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 �			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)		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			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			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 �			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 �			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)			A method to handle in-memory Hadoop on supercomputers
Effective Deployment of Data-intensive Frameworks on Supercomputers	2017	INDIRECT	scholar.google.com.vn				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			Processing in-memory Hadoop on supercomputers
Improving Hadoop MapReduce Performance on the FX10 supercomputer with JVM Reuse	2015	INDIRECT	scholar.google.com.vn				Improving Hadoop MapReduce performance on supercomputers

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