Hoang Phan
11 papers · 2022–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (35) 🐣 Hot Topic Early Bird 🗃️ Keyword Collector (57)
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
Top co-authors
Research topics
Deep Learning
(9)
Machine Learning
(9)
Artificial Intelligence
(6)
Learning Types · Machine Learning
(6)
Optimization & Theory
(6)
Application Areas
(4)
Learning Types · Deep Learning
(4)
Core AI
(3)
Learning Paradigms
(3)
Models
(3)
Architectures
(2)
Computer Vision
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Bayesian & Probabilistic
(1)
Keywords
unsupervised domain adaptation
(2)
optimal transport
(2)
multi-task learning
(2)
variational inference
(2)
prompt learning
(2)
domain adaptation
(2)
multi-objective optimization
(2)
wavelet transform
(1)
domain generalization
(1)
catastrophic forgetting
(1)
multimodal learning
(1)
transformer
(1)
adversarial machine learning
(1)
variance reduction
(1)
image generation
(1)
posterior inference
(1)
posterior distribution
(1)
neural network optimization
(1)
probabilistic inference
(1)
representation learning
(1)
Papers
An Optimal Transport-driven Approach for Cultivating Latent Space in Online Incremental Learning
CVPR 2026
Beyond Losses Reweighting: Empowering Multi-Task Learning via the Generalization Perspective
ICCV 2025
Preserving Clusters in Prompt Learning for Unsupervised Domain Adaptation
CVPR 2025
Think Twice, Generate Once: Safeguarding by Progressive Self-Reflection
EMNLP 2025
Controllable Prompt Tuning For Balancing Group Distributional Robustness
ICML 2024
DiMSUM: Diffusion Mamba - A Scalable and Unified Spatial-Frequency Method for Image Generation
NeurIPS 2024
Enhancing Domain Adaptation through Prompt Gradient Alignment
NeurIPS 2024
Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuning
NeurIPS 2024
Flat Seeking Bayesian Neural Networks
NeurIPS 2023
Global-Local Regularization Via Distributional Robustness
AISTATS 2023
Stochastic Multiple Target Sampling Gradient Descent
NeurIPS 2022