Dandan Guo
13 papers · 2018–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (37) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
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Renaissance Researcher
(5)
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
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(73)
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Research topics
Machine Learning
(12)
Learning Types
(7)
Optimization & Theory
(7)
Artificial Intelligence
(6)
Deep Learning
(6)
Core Methods
(6)
Mathematics & Optimization
(4)
Application Areas
(4)
Core AI
(4)
Models
(4)
Optimization
(4)
Natural Language Processing
(2)
Learning Paradigms
(2)
Data Science & Analytics
(1)
Security & Privacy
(1)
Keywords
optimal transport
(5)
domain adaptation
(2)
markov chain monte carlo
(2)
data augmentation
(2)
transfer learning
(2)
topic modeling
(1)
variational inference
(1)
stochastic gradient
(1)
model calibration
(1)
hierarchical learning
(1)
few-shot learning
(1)
preference learning
(1)
latent dirichlet allocation
(1)
cross-domain learning
(1)
named entity recognition
(1)
image classification
(1)
autoregressive generation
(1)
prompt learning
(1)
out-of-distribution generalization
(1)
unsupervised learning
(1)
Papers
PDR: A Plug-and-Play Positional Decay Framework for LLM Pre-training Data Detection
ACL 2026
Safeguarding LLM Fine-tuning via Push-Pull Distributional Alignment
ACL 2026
APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport
EMNLP 2025
Balancing Two Classifiers via A Simplex ETF Structure for Model Calibration
CVPR 2025
Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning
CVPR 2025
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors
CVPR 2025
A Simple Yet Effective Subsequence-Enhanced Approach for Cross-Domain NER
AAAI 2023
Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification
NeurIPS 2023
Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport
NeurIPS 2022
Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification
NeurIPS 2022
Recurrent Hierarchical Topic-Guided RNN for Language Generation
ICML 2020
Deep Poisson gamma dynamical systems
NeurIPS 2018
WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling
ICLR 2018