Trong Nghia Hoang

Venues

Frequent coauthors

Papers

1. ForeSWE: Forecasting Snow-Water Equivalent with an Uncertainty-Aware Attention Model
   AAAI 2026 ·

   Krishu K. Thapa

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2. Nanoporous Materials Discovery via Search Bias-Guided Surrogate Modeling
   AAAI 2026 ·

   Azza Fadhel

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3. Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data
   ICCV 2025 ·

   Thu Hang Phung

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4. Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data
   NeurIPS 2025 ·

   Duong M. Nguyen

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5. Boosting Offline Optimizers with Surrogate Sensitivity
   ICML 2024 ·

   Manh Cuong Dao

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6. Collaborative Learning across Heterogeneous Systems with Pre-Trained Models
   AAAI 2024 · Trong Nghia Hoang
7. Few-Shot Learning via Repurposing Ensemble of Black-Box Models
   AAAI 2024 ·

   Minh Hoang

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8. Learning Surrogates for Offline Black-Box Optimization via Gradient Matching
   ICML 2024 ·

   Minh Hoang

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9. Offline Model-Based Optimization via Policy-Guided Gradient Search
   AAAI 2024 ·

   Yassine Chemingui

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10. Pre-trained Recommender Systems: A Causal Debiasing Perspective
    WSDM 2024 ·

    Ziqian Lin

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11. Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data
    NeurIPS 2024 ·

    Pei-Yau Weng

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12. Revisiting Kernel Attention with Correlated Gaussian Process Representation
    UAI 2024 ·

    Long Minh Bui

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