Trong Nghia Hoang
25 papers · 2013–2026 · 7 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 8 separate collaboration groups - the largest holds only 44% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Trong Nghia Hoang?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Minh Hoang, Phi Le Nguyen, Jana Doppa
11 papers
· 2024–2026
· UAI, AAAI, ICML
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Model Merging as Probabilistic Inference in Fine-Tuning Parameter Space
UAI 2026
Nanoporous Materials Discovery via Search Bias-Guided Surrogate Modeling
AAAI 2026
Task-Free Continual Learning via Order-Invariant Linearized Adaptation and Density-Guided Adapter Routing
UAI 2026
Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data
ICCV 2025
Boosting Offline Optimizers with Surrogate Sensitivity
ICML 2024
Few-Shot Learning via Repurposing Ensemble of Black-Box Models
AAAI 2024
Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques
NeurIPS 2024
Learning Surrogates for Offline Black-Box Optimization via Gradient Matching
ICML 2024
Offline Model-Based Optimization via Policy-Guided Gradient Search
AAAI 2024
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data
NeurIPS 2024
Revisiting Kernel Attention with Correlated Gaussian Process Representation
UAI 2024
5 papers whose co-authors appear nowhere else under this name
ForeSWE: Forecasting Snow-Water Equivalent with an Uncertainty-Aware Attention Model
AAAI 2026
Collaborative Learning across Heterogeneous Systems with Pre-Trained Models
AAAI 2024
Personalized federated domain adaptation for item-to-item recommendation
UAI 2023
Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms
ICLR 2023
Bayesian federated estimation of causal effects from observational data
UAI 2022