Ge Liu
13 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (39) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (7)
π
Academic Marathon
(5)
π
Cross-Pollinator
(14)
ποΈ
Keyword Collector
(59)
π
Century Club
(13)
β‘
Prolific Year
(6)
Conferences
ICLR (5)
NIPS (3)
AAAI (1)
AISTATS (1)
COLING (1)
EMNLP (1)
WACV (1)
Top co-authors
Keywords
flow matching
(2)
metric learning
(1)
hierarchical text classification
(1)
optimal transport
(1)
preference learning
(1)
named entity recognition
(1)
ensemble learning
(1)
adversarial training
(1)
prompt learning
(1)
active learning
(1)
fine-tuning
(1)
feature representation
(1)
fisher information
(1)
nearest neighbor
(1)
algorithm design
(1)
preference elicitation
(1)
bayesian optimization
(1)
information geometry
(1)
molecular geometry
(1)
wasserstein distance
(1)
Papers
Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization
ICLR 2025
Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension
ICLR 2025
Training Free Guided Flow-Matching with Optimal Control
ICLR 2025
Pessimistic Off-Policy Multi-Objective Optimization
AISTATS 2024
NER-guided Comprehensive Hierarchy-aware Prompt Tuning for Hierarchical Text Classification
COLING 2024
Arxiv Copilot: A Self-Evolving and Efficient LLM System for Personalized Academic Assistance
EMNLP 2024
Categorical Flow Matching on Statistical Manifolds
NIPS 2024
Optimal Design for Human Preference Elicitation
NIPS 2024
Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs
NIPS 2024
Bridging Recommendation and Marketing via Recurrent Intensity Modeling
ICLR 2022
Maximum n-times Coverage for Vaccine Design
ICLR 2022
Class-Wise Metric Scaling for Improved Few-Shot Classification
WACV 2021
Maximizing Overall Diversity for Improved Uncertainty Estimates in Deep Ensembles
AAAI 2020