PPaperPicks

Trong Nghia Hoang

12 papers at tracked venues · 10 at CORE A* · active 2024–2026

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Venues

AAAI ×5ICML ×2NeurIPS ×2ICCV ×1UAI ×1WSDM ×1

Frequent coauthors

Minh Hoang
×4
Aryan Deshwal
×3
Janardhan Rao Doppa
×3
Phi Le Nguyen
×3
Azza Fadhel
×2
Yassine Chemingui
×2
Duong M. Nguyen
×2
Thanh Trung Huynh
×2
Quoc Viet Hung Nguyen
×2
Krishu K. Thapa
×1
Supriya Savalkar
×1
Bhupinderjeet Singh
×1

Papers

  1. ForeSWE: Forecasting Snow-Water Equivalent with an Uncertainty-Aware Attention Model
    AAAI 2026 ·
    Krishu K. Thapa
    ,
    Supriya Savalkar
    ,
    Bhupinderjeet Singh
    , Trong Nghia Hoang,
    Kirti Rajagopalan
    ,
    Ananth Kalyanaraman
  2. Nanoporous Materials Discovery via Search Bias-Guided Surrogate Modeling
    AAAI 2026 ·
    Azza Fadhel
    ,
    Yassine Chemingui
    ,
    Minh Hoang
    ,
    Aryan Deshwal
    , Trong Nghia Hoang,
    Jana Doppa
  3. Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data
    ICCV 2025 ·
    Thu Hang Phung
    ,
    Duong M. Nguyen
    ,
    Thanh Trung Huynh
    ,
    Quoc Viet Hung Nguyen
    , Trong Nghia Hoang,
    Phi Le Nguyen
  4. Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data
    NeurIPS 2025 ·
    Duong M. Nguyen
    , Trong Nghia Hoang,
    Thanh Trung Huynh
    ,
    Quoc Viet Hung Nguyen
    ,
    Phi Le Nguyen
  5. Boosting Offline Optimizers with Surrogate Sensitivity
    ICML 2024 ·
    Manh Cuong Dao
    ,
    Phi Le Nguyen
    ,
    Truong Thao Nguyen
    , Trong Nghia Hoang
  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
    , Trong Nghia Hoang
  8. Learning Surrogates for Offline Black-Box Optimization via Gradient Matching
    ICML 2024 ·
    Minh Hoang
    ,
    Azza Fadhel
    ,
    Aryan Deshwal
    ,
    Jana Doppa
    , Trong Nghia Hoang
  9. Offline Model-Based Optimization via Policy-Guided Gradient Search
    AAAI 2024 ·
    Yassine Chemingui
    ,
    Aryan Deshwal
    , Trong Nghia Hoang,
    Janardhan Rao Doppa
  10. Pre-trained Recommender Systems: A Causal Debiasing Perspective
    WSDM 2024 ·
    Ziqian Lin
    ,
    Hao Ding
    , Trong Nghia Hoang,
    Branislav Kveton
    ,
    Anoop Deoras
    ,
    Hao Wang
  11. Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data
    NeurIPS 2024 ·
    Pei-Yau Weng
    ,
    Minh Hoang
    ,
    Lam M. Nguyen
    ,
    My T. Thai
    ,
    Lily Weng
    , Trong Nghia Hoang
  12. Revisiting Kernel Attention with Correlated Gaussian Process Representation
    UAI 2024 ·
    Long Minh Bui
    ,
    Tho Tran Huu
    ,
    Duy Dinh
    ,
    Tan Minh Nguyen
    , Trong Nghia Hoang