Trong Nghia Hoang
Scholar

Trong Nghia Hoang

Google Scholar ID: E-kZZeQAAAAJ
Assistant Professor, Washington State University
Machine LearningFederated LearningMeta LearningModel FusionGaussian Processes
Citations & Impact
All-time
Citations
2,230
 
H-index
20
 
i10-index
29
 
Publications
20
 
Co-authors
58
list available
Resume (English only)
Academic Achievements
  • Multiple papers accepted at top-tier venues including NeurIPS, ICML, ICCV, UAI, AAAI, and IEEE Transactions on Computers
  • NeurIPS-25 Spotlight: 'Rethinking Offline Optimization as Distributional Translation via Probabilistic Bridge' (led by PhD student Hung Tran and undergraduate Cuong Dao)
  • NeurIPS-25: 'Learning Reconfigurable Representations for Multimodal Federated Learning with Missing Data' (led by Duong Nguyen)
  • ICCV-25: 'Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data' (led by Hang Phung and Duong Nguyen)
  • IEEE Transactions on Computers: 'Federated Learning with Sparse and Scarce Data' (led by Hung Nguyen)
  • NeurIPS-24: 'Probabilistic Federated Prompt-Tuning' (led by PhD student Pei-Yau Weng)
  • NeurIPS-24: 'Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques' (led by undergraduate Cuong Dao)
  • ICML-24: 'Boosting Offline Optimizers with Surrogate Sensitivity' (led by Cuong Dao)
  • ICML-24: 'Learning Surrogates for Offline Black-Box Optimization via Gradient Matching' (led by PhD student Azza Fadhel and collaborator Minh Hoang)
  • UAI-24: 'Revisting Kernel Attention with Correlated Gaussian Process Representation' (led by PhD student Long Bui)
  • Delivered tutorials on 'Advances in Robust Time-Series ML' at AAAI-24 and 'Black-Box Optimization with Offline Datasets' at AAAI-26