Minh Hoang
8 papers · 2019–2026 · 4 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (15) πΊοΈ Taxonomy Completionist (19) π Conference Polyglot (4)
π
Academic Marathon
(5)
π
Grand Slam
π
Triple Crown
Conferences
ICML (3)
AAAI (2)
NIPS (2)
ICLR (1)
Top co-authors
Keywords
black-box model
(2)
probabilistic modeling
(2)
bayesian optimization
(2)
domain adaptation
(1)
ensemble learning
(1)
computer vision
(1)
sample complexity
(1)
model aggregation
(1)
model fusion
(1)
gaussian process
(1)
sparse approximation
(1)
kernel selection
(1)
data heterogeneity
(1)
pre-trained model
(1)
latent space
(1)
data imbalance
(1)
non-iid datum
(1)
vision model
(1)
imbalanced datum
(1)
prompt tuning
(1)
Papers
Nanoporous Materials Discovery via Search Bias-Guided Surrogate Modeling
AAAI 2026
Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data
NIPS 2024
Learning Surrogates for Offline Black-Box Optimization via Gradient Matching
ICML 2024
Few-Shot Learning via Repurposing Ensemble of Black-Box Models
AAAI 2024
Efficient Heterogeneous Meta-Learning via Channel Shuffling Modulation
ICLR 2024
Revisiting the Sample Complexity of Sparse Spectrum Approximation of Gaussian Processes
NIPS 2020
Optimizing Dynamic Structures with Bayesian Generative Search
ICML 2020
Collective Model Fusion for Multiple Black-Box Experts
ICML 2019