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Trong Nghia Hoang

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Promoting Robustness of Randomized Smoothing: Two Cost-Effective Approaches

Oct 11, 2023
Linbo Liu, Trong Nghia Hoang, Lam M. Nguyen, Tsui-Wei Weng

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Time-to-Pattern: Information-Theoretic Unsupervised Learning for Scalable Time Series Summarization

Aug 26, 2023
Alireza Ghods, Trong Nghia Hoang, Diane Cook

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Personalized Federated Domain Adaptation for Item-to-Item Recommendation

Jun 05, 2023
Ziwei Fan, Hao Ding, Anoop Deoras, Trong Nghia Hoang

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Federated Learning of Models Pre-Trained on Different Features with Consensus Graphs

Jun 02, 2023
Tengfei Ma, Trong Nghia Hoang, Jie Chen

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Towards Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms

Jul 19, 2022
Linbo Liu, Youngsuk Park, Trong Nghia Hoang, Hilaf Hasson, Jun Huan

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Learning Personalized Item-to-Item Recommendation Metric via Implicit Feedback

Mar 18, 2022
Trong Nghia Hoang, Anoop Deoras, Tong Zhao, Jin Li, George Karypis

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Adaptive Multi-Source Causal Inference

May 31, 2021
Thanh Vinh Vo, Pengfei Wei, Trong Nghia Hoang, Tze-Yun Leong

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Federated Estimation of Causal Effects from Observational Data

May 31, 2021
Thanh Vinh Vo, Trong Nghia Hoang, Young Lee, Tze-Yun Leong

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Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes

Nov 17, 2020
Quang Minh Hoang, Trong Nghia Hoang, Hai Pham, David P. Woodruff

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CHEER: Rich Model Helps Poor Model via Knowledge Infusion

May 21, 2020
Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun

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