Trong Nghia Hoang
Orcid: 0000-0002-9175-6246
According to our database1,
Trong Nghia Hoang
authored at least 55 papers
between 2008 and 2024.
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Bibliography
2024
FedMAC: Tackling Partial-Modality Missing in Federated Learning with Cross-Modal Aggregation and Contrastive Regularization.
CoRR, 2024
Effective knowledge representation and utilization for sustainable collaborative learning across heterogeneous systems.
AI Mag., 2024
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Time-to-Pattern: Information-Theoretic Unsupervised Learning for Scalable Time Series Summarization.
CoRR, 2023
Federated Learning of Models Pre-Trained on Different Features with Consensus Graphs.
CoRR, 2023
Federated learning of models pre-trained on different features with consensus graphs.
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE International Conference on Data Mining, 2023
2022
IEEE Trans. Knowl. Data Eng., 2022
Towards Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms.
CoRR, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the DELFI 2022, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
AID: Active Distillation Machine to Leverage Pre-Trained Black-Box Models in Private Data Settings.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the HSCC '21: 24th ACM International Conference on Hybrid Systems: Computation and Control, 2021
2020
Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes.
CoRR, 2020
Learning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Collective Online Learning via Decentralized Gaussian Processes in Massive Multi-Agent Systems.
CoRR, 2018
Near-Optimal Adversarial Policy Switching for Decentralized Asynchronous Multi-Agent Systems.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Stochastic Variational Inference for Fully Bayesian Sparse Gaussian Process Regression Models.
CoRR, 2017
A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
A Distributed Variational Inference Framework for Unifying Parallel Sparse Gaussian Process Regression Models.
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data.
Proceedings of the 32nd International Conference on Machine Learning, 2015
2014
Active Learning Is Planning: Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Scalable Decision-Theoretic Coordination and Control for Real-time Active Multi-Camera Surveillance.
Proceedings of the International Conference on Distributed Smart Cameras, 2014
Recent Advances in Scaling Up Gaussian Process Predictive Models for Large Spatiotemporal Data.
Proceedings of the Dynamic Data-Driven Environmental Systems Science, 2014
2013
Interactive POMDP Lite: Towards Practical Planning to Predict and Exploit Intentions for Interacting with Self-Interested Agents.
Proceedings of the IJCAI 2013, 2013
A General Framework for Interacting Bayes-Optimally with Self-Interested Agents using Arbitrary Parametric Model and Model Prior.
Proceedings of the IJCAI 2013, 2013
2012
Decision-theoretic coordination and control for active multi-camera surveillance in uncertain, partially observable environments.
Proceedings of the Sixth International Conference on Distributed Smart Cameras, 2012
Decision-theoretic approach to maximizing observation of multiple targets in multi-camera surveillance.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012
Intention-aware planning under uncertainty for interacting with self-interested, boundedly rational agents.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012
2008
Proceedings of the Agent and Multi-Agent Systems: Technologies and Applications, 2008