Mingjie Li
25 papers · 2018–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π£ Hot Topic Early Bird π§ Keyword Pioneer π Interdisciplinary Bridge π Academic Marathon (7)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(32)
π§
Keyword Pioneer
π§¬
Topic Evolution
π
Grand Slam
π
Triple Crown
ποΈ
Keyword Collector
(90)
β‘
Prolific Year
(6)
π
Conference Pioneer
π
Century Club
(24)
π₯
Unstoppable
(6)
β
The Questioner
Conferences
ICML (8)
ICLR (4)
CVPR (3)
NIPS (3)
AAAI (2)
MICCAI (2)
ACL (1)
ECCV (1)
IJCAI (1)
Top co-authors
Keywords
neural network
(3)
deep equilibrium model
(2)
adversarial robustness
(2)
knowledge graph
(2)
medical report generation
(2)
residual network
(2)
deep neural network
(2)
domain adaptation
(1)
transfer learning
(1)
contrastive learning
(1)
in-context learning
(1)
multimodal learning
(1)
model architecture
(1)
adversarial training
(1)
knowledge distillation
(1)
efficient computing
(1)
medical imaging
(1)
neural network interpretation
(1)
feature disentanglement
(1)
interpretability
(1)
Papers
Pruning Unsafe Tickets: A Resource-Efficient Framework for Safer and More Robust LLMs
ACL 2026
SaLoRA: Safety-Alignment Preserved Low-Rank Adaptation
ICLR 2025
HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation
AAAI 2025
Enhancing Vision-Language Models with Morphological and Taxonomic Knowledge: Towards Coral Recognition for Ocean Health
AAAI 2025
Towards Interpretable Counterfactual Generation via Multimodal Autoregression
MICCAI 2025
PID: Prompt-Independent Data Protection Against Latent Diffusion Models
ICML 2024
VertFound: Synergizing Semantic and Spatial Understanding for Fine-grained Vertebrae Classification via Foundation Models
MICCAI 2024
Learning with Counterfactual Explanations for Radiology Report Generation
ECCV 2024
TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors
ICML 2024
Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States
ICLR 2023
GEQ: Gaussian Kernel Inspired Equilibrium Models
NIPS 2023
Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation
CVPR 2023
Mask Propagation for Efficient Video Semantic Segmentation
NIPS 2023
Does a Neural Network Really Encode Symbolic Concepts?
ICML 2023
Defining and Quantifying the Emergence of Sparse Concepts in DNNs
CVPR 2023
G$^2$CN: Graph Gaussian Convolution Networks with Concentrated Graph Filters
ICML 2022
Optimization inspired Multi-Branch Equilibrium Models
ICLR 2022
Cross-Modal Clinical Graph Transformer for Ophthalmic Report Generation
CVPR 2022
CerDEQ: Certifiable Deep Equilibrium Model
ICML 2022
Towards Theoretical Analysis of Transformation Complexity of ReLU DNNs
ICML 2022
Interpreting and Disentangling Feature Components of Various Complexity from DNNs
ICML 2021
Visualizing the Emergence of Intermediate Visual Patterns in DNNs
NIPS 2021
Interpreting and Boosting Dropout from a Game-Theoretic View
ICLR 2021
Implicit Euler Skip Connections: Enhancing Adversarial Robustness via Numerical Stability
ICML 2020
Deep Convolutional Neural Networks with Merge-and-Run Mappings
IJCAI 2018