Mingchen Gao
15 papers · 2021–2026 · 9 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer π£ Hot Topic Early Bird π Cross-Pollinator (8) π Interdisciplinary Bridge
π
Conference Polyglot
(8)
π
Century Club
(13)
β‘
Prolific Year
(5)
Conferences
CVPR (2)
ECCV (2)
ICCV (2)
ICLR (2)
MIDL (2)
UAI (2)
AISTATS (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
continual learning
(4)
catastrophic forgetting
(3)
distributionally robust optimization
(2)
domain adaptation
(2)
uncertainty calibration
(2)
model fusion
(1)
medical image segmentation
(1)
transfer learning
(1)
neural architecture search
(1)
data augmentation
(1)
adversarial learning
(1)
corruption robustness
(1)
knowledge distillation
(1)
medical image classification
(1)
source domain
(1)
self-supervised learning
(1)
diffusion model
(1)
deep neural network
(1)
ensemble method
(1)
semantic segmentation
(1)
Papers
Simplex-Aligned Diffusion with Cross-Granularity Interaction for Robust Medical Image Classification
MIDL 2026
CWCD: Category-Wise Contrastive Decoding for Structured Medical Report Generation
MIDL 2026
Training A Secure Model against Data-Free Model Extraction
ECCV 2024
Continual Domain Adversarial Adaptation via Double-Head Discriminators
AISTATS 2024
Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans
ICCV 2023
MetaMix: Towards Corruption-Robust Continual Learning With Temporally Self-Adaptive Data Transformation
CVPR 2023
Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training
NIPS 2023
Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning
ICLR 2023
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
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution
ICML 2022
Few-shot Learning via Dirichlet Tessellation Ensemble
ICLR 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