Publication title | Year | Direct or indirect related to Private Intelligence | Link | Conference/Journal | Author(s) from Distilled Foundation | How the work relates to Private Intelligence | Gained Experience |
---|---|---|---|---|---|---|---|
2024 | DIRECT | 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 | |||
2024 | DIRECT | 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 | |||
2024 | INDIRECT | 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. | |||
2024 | DIRECT | arXiv preprint arXiv:2404.00673 | P Le Nguyen | Surveying AI Privacy and Explanability and discusses methods to implement privacy-preserving AI | |||
2024 | INDIRECT | Neural Computing and Applications 36 (11), 6099-6118 | P Le Nguyen | Distilling spatial data from multiple sources | |||
2024 | INDIRECT | Neural Computing and Applications, 1-23 | P Le Nguyen | Distilling spatial data with a self-supervised method | |||
2024 | INDIRECT | IEEE Access | P Le Nguyen | Working with drug pill (health care) data | |||
2024 | INDIRECT | Pacific-Asia Conference on Knowledge Discovery and Data Mining, 182-193 | P Le Nguyen | Combating low-quality data in federating learing | |||
2024 | INDIRECT | arXiv e-prints, arXiv: 2405.01057 | P Le Nguyen | Proposing offload strategy for Q-learning (a reinforcement learning technique) with Fuzzy logic | |||
2024 | DIRECT | 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. | |||
2024 | DIRECT | 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. | |||
2024 | INDIRECT | arXiv preprint arXiv:2407.03665 | P Le Nguyen | A recommendation method using heterogeneous knowledge graph in order to incorporate rich semantic information | |||
2024 | INDIRECT | Information Sciences 680, 121165 | P Le Nguyen | Enhancing recommendation system with knowledge graph | |||
2024 | DIRECT | ACL Findings | Linh Ngo Van | Evaluating toxicity in LLM models | |||
2024 | DIRECT | (Submitting) | Diep Nguyen | A distillation protocol to create an LLM model from multiple LLM models, specialized on toxicity-preventive | |||
2023 | INDIRECT | Nonlinear Theory and Its Applications, IEICE 14 (1), 18-34 | P Le Nguyen | A reinforcement learning algorithm | |||
2023 | INDIRECT | IEEE 20th Consumer Communications & Networking Conference (CCNC), 573-578 | P Le Nguyen | A reinforcement learning algorithm | |||
2023 | INDIRECT | Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining | P Le Nguyen | A deep learning algorithm with hypergraph attention | |||
2023 | INDIRECT | arXiv preprint arXiv:2304.11080 | P Le Nguyen | Multimodal deep learning algorithm | |||
2023 | INDIRECT | IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid) | P Le Nguyen | Handling non-iid data in federated learning | |||
2023 | INDIRECT | arXiv preprint arXiv:2306.06579 | P Le Nguyen | An improve encoding algorithm for time series data | |||
2023 | INDIRECT | International Joint Conference on Neural Networks (IJCNN), 01-10 | P Le Nguyen | A backdoor defense algorithm for federated learning | |||
2023 | INDIRECT | ACM Transactions on Information Systems | P Le Nguyen | An attack method to graph neural network-based recommendation system | |||
2023 | INDIRECT | 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 | |||
2023 | INDIRECT | 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 | |||
2023 | INDIRECT | Asian Conference on Intelligent Information and Database Systems, 436-448 | P Le Nguyen | A deep reinforcement learning method for crowdsending data | |||
2023 | DIRECT | Authorea Preprints | P Le Nguyen | A method to analyze speech data for speaker diarization | |||
2023 | INDIRECT | IEEE Transactions on Network and Service Management | P Le Nguyen | A federated learning for large convolutional neural network | |||
2023 | INDIRECT | Plos one 18 (9), e0291865 | P Le Nguyen | A graph neural network algorithm to recognize drug pill image data | |||
2023 | INDIRECT | Engineering Applications of Artificial Intelligence 126, 107073 | P Le Nguyen | An ensembling algorithm | |||
2023 | INDIRECT | 2023 Eleventh International Symposium on Computing and Networking (CANDAR) | P Le Nguyen | ||||
2023 | INDIRECT | Proceedings of the 12th International Symposium on Information and Communication Technology | P Le Nguyen | A dynamic programming algorithm | |||
2023 | INDIRECT | Proceedings of the 12th International Symposium on Information and Communication Technology | P Le Nguyen | A method for key information extraction from image data | |||
2023 | INDIRECT | Proceedings of the 12th International Symposium on Information and Communication Technology | P Le Nguyen | An optimization method based on Q-Learning reinforcement learning | |||
2023 | DIRECT | International Conference on Computational Data and Social Networks, 27-38 | P Le Nguyen | A method to assess speech quality | |||
2023 | INDIRECT | RIVF International Conference on Computing and Communication | P Le Nguyen | Evaluating IoT device performance on a Ethereum-based system | |||
2022 | INDIRECT | arXiv e-prints, arXiv: 2201.00132 | P Le Nguyen | A deep learning model with self-attention to recognize scene text | |||
2022 | INDIRECT | Proceedings of the Asian Conference on Computer Vision, 4565-4580 | P Le Nguyen | A class incremental learning for image classification task | |||
2022 | INDIRECT | arXiv preprint arXiv:2211.10948 | P Le Nguyen | A federated learning algorithm for large convolutional neural network on resource constrained devices | |||
2022 | INDIRECT | Computer Networks 202, 108646 | P Le Nguyen | An optimization algorithm with constant approximation | |||
2022 | INDIRECT | IEEE Wireless Communications and Networking Conference (WCNC), 1449-1454 | P Le Nguyen | An optimization for spatial-temporal data | |||
2022 | INDIRECT | IEEE Wireless Communications and Networking Conference (WCNC), 1803-1808 | P Le Nguyen | A deep reinforcement learning method | |||
2022 | INDIRECT | P Le Nguyen | An open-source dataset | ||||
2022 | INDIRECT | IEEE Transactions on Network and Service Management 19 (4), 5021-5033 | P Le Nguyen | A reinforcement learning method with Fuzzy logic | |||
2022 | INDIRECT | arXiv preprint arXiv:2208.07824 | P Le Nguyen | A deep reinforcement learning method | |||
2022 | DIRECT | arXiv e-prints, arXiv: 2209.02299 | P Le Nguyen | Surveying machine unlearning methods and challenges | |||
2022 | INDIRECT | 2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) | P Le Nguyen | A deep reinforcement learning method | |||
2022 | INDIRECT | IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems � | P Le Nguyen | A deep reinforcement learning method | |||
2022 | INDIRECT | IEEE 8th World Forum on Internet of Things (WF-IoT), 1-2 | P Le Nguyen | ||||
2022 | INDIRECT | Pacific Rim International Conference on Artificial Intelligence, 261-274 | P Le Nguyen | ||||
2022 | DIRECT | 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 | |||
2022 | INDIRECT | Scientific Reports 12 (1), 19870 | P Le Nguyen | An ensemble learning with genetic algorithm | |||
2022 | INDIRECT | Asian Conference on Intelligent Information and Database Systems, 354-369 | P Le Nguyen | A deep learning model with knowledge graph | |||
2022 | INDIRECT | Asian Conference on Intelligent Information and Database Systems, 26-39 | P Le Nguyen | A time series forecasting method | |||
2022 | INDIRECT | Proceedings of the 11th International Symposium on Information and Communication Technology | P Le Nguyen | An attention mechanism for graph neural network | |||
2022 | INDIRECT | Journal of Computer Science and Cybernetics 38 (4), 347-364 | P Le Nguyen | An evolutionary algorithm in FOG computing | |||
2022 | DIRECT | Neurocomputing | Linh Ngo Van | Learning topic models from short and noisy text streams in order to analyze user's data | |||
2022 | DIRECT | Pacific-Asia Conference on Knowledge Discovery and Data Mining | Linh Ngo Van | A training method to reduce catastrphic forgetting in neural networks | |||
2022 | DIRECT | Pacific-Asia conference on knowledge discovery and data mining | Linh Ngo Van | Improving regularization in continual learning | |||
2022 | DIRECT | Findings of the Association for Computational Linguistics: EMNLP 2022 | Linh Ngo Van | A dataset and method for multilingual subevent relation extraction from text data | |||
2022 | DIRECT | Neurocomputing | Linh Ngo Van | A topic modeling algorithm using graph convolutional neural network | |||
2022 | DIRECT | Neurocomputing | Linh Ngo Van | Modeling sequential behaviours and short-term preferences from user data using deep neural network. | |||
2022 | DIRECT | Proceedings of the 29th International Conference on Computational Linguistics (COLING) | Linh Ngo Van | An unsupervised domain adaptation method for text classification | |||
2022 | DIRECT | 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. | |||
2021 | INDIRECT | 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 | |||
2021 | INDIRECT | 2020 IEEE Eighth International Conference on Communications and Electronics (ICCE) | P Le Nguyen | An optimization method | |||
2021 | INDIRECT | IEEE Sensors Journal 21 (7), 9577-9599 | P Le Nguyen | An approximation algorithm | |||
2021 | INDIRECT | IEEE Access 9, 57338-57350 | P Le Nguyen | A encoder-decoder method using genetic algorithm-based feature selection | |||
2021 | INDIRECT | Wireless Networks 27 (4), 3073-3089 | P Le Nguyen | A routing algorithm | |||
2021 | INDIRECT | 2021 IFIP/IEEE International Symposium on Integrated Network Management (IM) | P Le Nguyen | A routing algorithm leveraging prediction | |||
2021 | INDIRECT | IEEE International Conference on Communications, 1-6 | P Le Nguyen | A graph convolutional recurrent neural network | |||
2021 | INDIRECT | Sensors 21 (16), 5520 | P Le Nguyen | A reinforcement learning with fuzzy logic | |||
2021 | INDIRECT | 2021 RIVF International Conference on Computing and Communication Technologies (RIVF) | P Le Nguyen | An open-source dataset | |||
2021 | INDIRECT | IEEE Access 9, 123414-123429 | P Le Nguyen | A routing method with reinforcement learning | |||
2021 | DIRECT | International Conference on Multimedia Analysis and Pattern Recognition � | P Le Nguyen | A study on visual-guided audio source separation | |||
2021 | INDIRECT | IEEE 32nd International Symposium on Software Reliability Engineering | P Le Nguyen | A meta-heuristic algorithm to automating UI responsiveness for devices | |||
2021 | INDIRECT | IEEE Transactions on Green Communications and Networking 6 (2), 1186-1197 | P Le Nguyen | An optimization algorithm | |||
2021 | INDIRECT | IEEE International Performance, Computing, and Communications | P Le Nguyen | An optimization algorithm | |||
2021 | DIRECT | Asia-Pacific Signal and Information Processing Association Annual | P Le Nguyen | Counting speaker in speaker diarization | |||
2021 | DIRECT | IEEE Transactions on Knowledge and Data Engineering | Linh Ngo Van | Transforming prior knowledge from data streams to Bayesian models | |||
2021 | DIRECT | Neurocomputing | Linh Ngo Van | Streaming prior knowledge to Variational Bayesian model | |||
2020 | INDIRECT | International Joint Conference on Neural Networks (IJCNN), 1-7 | P Le Nguyen | A reinforcement learning algorithm | |||
2020 | INDIRECT | IEEE Congress on Evolutionary Computation (CEC), 1-8 | P Le Nguyen | ||||
2020 | INDIRECT | IEEE 19th International Symposium on Network Computing and Applications | P Le Nguyen | An reinforcement learning algorithm | |||
2020 | INDIRECT | IEEE 19th International Symposium on Network Computing and Applications | P Le Nguyen | An approximation algorithm | |||
2020 | INDIRECT | 7th NAFOSTED Conference on Information and Computer Science (NICS), 427-432 | P Le Nguyen | An optimization algorithm | |||
2020 | INDIRECT | 19th IEEE International Conference on Machine Learning and Applications | P Le Nguyen | A self-attention mechanism for scene text recognition | |||
2020 | DIRECT | Knowledge and Information Systems | Linh Ngo Van | Modeling short texts using bag of biterms | |||
2019 | DIRECT | Asian Conference on Machine Learning | Linh Ngo Van | Modeling sequential behaviors from user data | |||
2019 | DIRECT | 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 | |||
2019 | DIRECT | International Journal of Approximate Reasoning | Linh Ngo Van | A topic modeling algorithm on short & noisy text | |||
2017 | INDIRECT | Knowledge and Information Systems | Linh Ngo Van | An interpretable method for document classification | |||
2016 | INDIRECT | 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 | |||
2014 | INDIRECT | Proceedings of the 5th Symposium on Information and Communication Technology | Linh Ngo Van | A text summarization using non-negative matrix factorization | |||
2018 | DIRECT | International Journal of Approximate Reasoning 95, 62-76 | Linh Ngo Van | A content-based collaborative filtering model for recommender system. | |||
2017 | DIRECT | Advances in Knowledge Discovery and Data Mining: 21st Pacific-Asia � | Linh Ngo Van | Keeping prior knowledge in data stream on Bayesian learning | |||
2022 | DIRECT | 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 | |||
2020 | DIRECT | arXiv preprint arXiv:2003.06112 | Linh Ngo Van | A topic modeling method using graph convolutional neural network | |||
2023 | DIRECT | Findings of the Association for Computational Linguistics: ACL 2023, 2157-2170 | Linh Ngo Van | A method to align representation in cross-lingual event detection | |||
2020 | DIRECT | IEEE Access 8, 106395-106407 | Linh Ngo Van | Dealing with a sparse users� feedback matrix and short descriptions/contents of items in recommender systems | |||
2024 | DIRECT | Machine Learning 113 (1), 281-323 | Linh Ngo Van | A dropout mechanism for continual learning | |||
2023 | DIRECT | Findings of the Association for Computational Linguistics: EMNLP 2023, 9621-9629 | Linh Ngo Van | A method on continual relation extraction | |||
2024 | DIRECT | Proceedings of the AAAI Conference on Artificial Intelligence 38 (16), 18444 � | Linh Ngo Van | A sequential multi-task learning algorithm for continual relation extraction | |||
2020 | DIRECT | Artificial Intelligence and Machine Learning for Multi-Domain Operations � | Linh Ngo Van | Modeling sequential behaviors of online users | |||
2019 | INDIRECT | 2019 IEEE-RIVF International Conference on Computing and Communication � | Linh Ngo Van | Enriching user representation in recommender systems | |||
2018 | INDIRECT | Proceedings of the 9th international symposium on information and � | Linh Ngo Van | A supervised dimension reduction for reducing class overlapping | |||
2016 | DIRECT | 2016 IEEE RIVF International Conference on Computing & Communication � | Linh Ngo Van | An aspect-based sentiment analysis method | |||
2024 | DIRECT | Proceedings of the 2024 Conference of the North American Chapter of the � | Linh Ngo Van | A continual event detection method | |||
2022 | DIRECT | J. Inf. Sci. Eng. 38 (2), 413-427 | Linh Ngo Van | Improving word embeddings for interpretability | |||
2019 | DIRECT | Artificial Intelligence and Machine Learning for Multi-Domain Operations � | Linh Ngo Van | A tutorial on continual learning | |||
2019 | INDIRECT | 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM � | P Le Nguyen | A deep convolutional LSTM network with partial information | |||
2024 | INDIRECT | 2024 33rd International Conference on Computer Communications and Networks � | P Le Nguyen | Multi-agent deep reinforcement learning for large-scale network | |||
2024 | INDIRECT | 2024 International Joint Conference on Neural Networks (IJCNN), 1-8 | P Le Nguyen | Multimodal federated learning | |||
2024 | INDIRECT | 2024 International Joint Conference on Neural Networks (IJCNN), 1-8 | P Le Nguyen | Hierachical federated learning with knowledge distillation | |||
2018 | INDIRECT | 32nd AAAI Conference on Artificial Intelligence (AAAI-18) | TN Hoang | A decentralized Bayesian optimization method | |||
2016 | DIRECT | International Conference on Machine Learning, 382-391 | TN Hoang | Unifying many parallel sparse Gaussian process regression (SGPR) models in training with big data. | |||
2021 | DIRECT | 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 | |||
2020 | DIRECT | 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 | |||
2018 | INDIRECT | 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 | |||
2021 | INDIRECT | arXiv preprint arXiv:2106.00456 | TN Hoang | Estimating causal effects from federated data sources (different private data sources) | |||
2022 | DIRECT | Uncertainty in Artificial Intelligence, 2024-2034 | TN Hoang | A Bayesian framework for estimating causal effects from federated observational data sources. | |||
2021 | DIRECT | Proceedings of the Web Conference 2021, 3569-3581 | TN Hoang | A distillation method to leverage pre-trained black-box models in private data settings. | |||
2018 | DIRECT | 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. | |||
2024 | DIRECT | Advances in Neural Information Processing Systems 36 | TN Hoang | An incentive mechanism for collaborative machine learning where differential privacy is used as an incentive. | |||
2022 | INDIRECT | 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. | |||
2023 | DIRECT | Uncertainty in Artificial Intelligence, 560-570 | TN Hoang | A method for item-to-item with personalized graph adaptation model based on graph neural network | |||
2020 | DIRECT | 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. | |||
2024 | DIRECT | 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. | |||
2024 | DIRECT | 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. | |||
2020 | DIRECT | Handbook of Trustworthy Federated Learning, 289 | TN Hoang | A book chapter discussing federated learning with pretrained models | |||
2020 | INDIRECT | arXiv preprint arXiv:2010.05322 | An improved dataset for open-source community | ||||
2019 | INDIRECT | PoB: Toward reasoning patterns of beauty in image data | A review of techniques for processing image data in an unconstrained condition | ||||
2018 | INDIRECT | Cross-cultural image database system with impression-based color arrangement | An open-source dataset for recognizing aesthetic patterns in paintings | ||||
2022 | DIRECT | US Patent WO/2022/200,834 | An US and international patent on the creation and exchange of copyright for generated AI content using Blockchain | ||||
2021 | INDIRECT | VNU Journal of Science: Computer Science and Communication Engineering 37 (2) | An open-source dataset for recognizing table structure from image data | ||||
2020 | DIRECT | 2020 RIVF International conference on computing and communication � | Proposing a decentralized storage system | ||||
2020 | DIRECT | Advanced Information Networking and Applications: Proceedings of the 33rd � | Discussing challenges and strategies in developing decentralized applications based on blockchain | ||||
2020 | INDIRECT | 2020 RIVF International conference on computing and communication � | A proposal to use blockchain technology in land valuation certificate management (real-world asset) | ||||
2016 | INDIRECT | 2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid � | An effective process creation for high performance computer (HPC) with big data | ||||
2022 | DIRECT | Computer Systems Science & Engineering 43 (2) | A method regarding verification and management of lifelong learning data | ||||
2021 | DIRECT | Proceedings of the 3rd ACM International Symposium on Blockchain and Secure � | Proposing a method to develop decentralized storage and sharing systems | ||||
2014 | INDIRECT | It�-Suomen yliopisto | An eye-tracking analysis for large-scale data using cloud-computing | ||||
2014 | INDIRECT | Proceedings of the Symposium on Eye Tracking Research and Applications, 215-218 | Rendering heatmap for large-scale distributed datasets | ||||
2022 | DIRECT | Proceedings of the 11th International Symposium on Information and � | A proposal to build a decentralized gateway endpoint for applications | ||||
2019 | INDIRECT | Advanced Software Technologies for Post-Peta Scale Computing: The Japanese � | Proposing a development platform for embedded domain-specific languages | ||||
2017 | INDIRECT | Euro-Par 2017: Parallel Processing: 23rd International Conference on � | A deployment method for message passing interface (MPI)-based in-memory for Hadoop on supercomputers | ||||
2020 | INDIRECT | 2020 IEEE 19th International Conference on Trust, Security and Privacy in � | A data mapping language for blockchain platforms | ||||
2023 | INDIRECT | US Patent App. 17/515,603 | An US patent to reach consensus in a multi-chain IoT environment | ||||
2018 | DIRECT | 2018 IEEE 20th International Conference on High Performance Computing and � | A method to handle in-memory Hadoop on supercomputers | ||||
2017 | INDIRECT | (No Title) | An effective deployment method for data-intensive frameworks on supercomputers. | ||||
2016 | INDIRECT | ????????????????/??????????? ? 33, 353-359 | Processing in-memory Hadoop on supercomputers | ||||
2015 | INDIRECT | fNode: reducing network packet transmission overhead in indoor heterogeneous wireless sensor networks (???????????????) | Improving Hadoop MapReduce performance on supercomputers |