Ge Liu
14 papers · 2020–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (47) π Conference Polyglot Β· Silver ποΈ Keyword Collector (84)
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(7)
π
Century Club Β· Bronze
Top co-authors
Research topics
Deep Learning
(9)
Machine Learning
(9)
Artificial Intelligence
(7)
Optimization & Theory
(7)
Core AI
(6)
Mathematics & Optimization
(4)
Learning Types Β· Machine Learning
(4)
Learning Types Β· Deep Learning
(4)
Models
(4)
Optimization
(4)
Healthcare & Medicine
(3)
Natural Language Processing
(2)
Application Areas
(2)
Applications
(2)
Architectures
(2)
Keywords
flow matching
(3)
generative model
(2)
out-of-distribution detection
(2)
metric learning
(1)
preference learning
(1)
named entity recognition
(1)
optimal transport
(1)
adversarial training
(1)
medical image segmentation
(1)
prompt learning
(1)
nearest neighbor
(1)
constrained optimization
(1)
feature representation
(1)
fisher information
(1)
optimal control
(1)
hierarchical text classification
(1)
algorithm design
(1)
protein design
(1)
preference elicitation
(1)
ensemble learning
(1)
Papers
R2-Seg: Training-Free OOD Medical Tumor Segmentation via Anatomical Reasoning and Statistical Rejection
CVPR 2026
Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension
ICLR 2025
Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization
ICLR 2025
Training Free Guided Flow-Matching with Optimal Control
ICLR 2025
Arxiv Copilot: A Self-Evolving and Efficient LLM System for Personalized Academic Assistance
EMNLP 2024
Categorical Flow Matching on Statistical Manifolds
NeurIPS 2024
NER-guided Comprehensive Hierarchy-aware Prompt Tuning for Hierarchical Text Classification
COLING 2024
Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs
NeurIPS 2024
Optimal Design for Human Preference Elicitation
NeurIPS 2024
Pessimistic Off-Policy Multi-Objective Optimization
AISTATS 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