Mingchen Gao
16 papers · 2021–2026 · 9 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (27) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver ⚡ Prolific Year · Productive
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Century Club · Bronze
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Keyword Collector
(71)
Top co-authors
Research topics
Machine Learning
(11)
Learning Types · Machine Learning
(8)
Artificial Intelligence
(6)
Application Areas
(5)
Deep Learning
(4)
Optimization & Theory
(4)
Core AI
(3)
Learning Paradigms · Artificial Intelligence
(3)
Learning Types · Deep Learning
(3)
Computer Vision
(2)
Core Methods
(2)
Domain-Specific
(2)
Learning Paradigms · Machine Learning
(2)
Models
(2)
Healthcare & Medicine
(1)
Keywords
catastrophic forgetting
(4)
continual learning
(4)
domain adaptation
(2)
distributionally robust optimization
(2)
multimodal large language model
(2)
knowledge distillation
(2)
uncertainty calibration
(2)
voronoi diagram
(2)
few-shot learning
(1)
data augmentation
(1)
adversarial learning
(1)
class-incremental learning
(1)
neural architecture search
(1)
data-free learning
(1)
self-supervised learning
(1)
metric learning
(1)
medical image classification
(1)
model fusion
(1)
mutual information
(1)
corruption robustness
(1)
Papers
CWCD: Category-Wise Contrastive Decoding for Structured Medical Report Generation
MIDL 2026
FairLLaVA: Fairness-Aware Parameter-Efficient Fine-Tuning for Large Vision-Language Assistants
CVPR 2026
Simplex-Aligned Diffusion with Cross-Granularity Interaction for Robust Medical Image Classification
MIDL 2026
Continual Domain Adversarial Adaptation via Double-Head Discriminators
AISTATS 2024
Training A Secure Model against Data-Free Model Extraction
ECCV 2024
Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans
ICCV 2023
Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training
NeurIPS 2023
MetaMix: Towards Corruption-Robust Continual Learning With Temporally Self-Adaptive Data Transformation
CVPR 2023
Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning
ICLR 2023
Few-shot Learning via Dirichlet Tessellation Ensemble
ICLR 2022
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution
ICML 2022
Learning To Learn and Remember Super Long Multi-Domain Task Sequence
CVPR 2022
Meta-Learning with Less Forgetting on Large-Scale Non-stationary Task Distributions
ECCV 2022
Meta-learning without data via Wasserstein distributionally-robust model fusion
UAI 2022
Improving uncertainty calibration of deep neural networks via truth discovery and geometric optimization
UAI 2021
Meta Learning on a Sequence of Imbalanced Domains With Difficulty Awareness
ICCV 2021