Qingni Shen
9 papers · 2024–2025 · 7 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (25) π Cross-Pollinator (7) π Renaissance Researcher (8) π Interdisciplinary Bridge π§ Keyword Pioneer
π
Conference Polyglot
(7)
π
Conference Pioneer
β‘
Prolific Year
(5)
Conferences
IJCAI (2)
MICCAI (2)
AAAI (1)
CVPR (1)
ICCV (1)
ICML (1)
NIPS (1)
Top co-authors
Research topics
Keywords
text-to-image diffusion
(2)
diffusion model
(2)
federated learning
(2)
backdoor defense
(1)
text-to-image synthesis
(1)
knowledge distillation
(1)
image synthesis
(1)
privacy preservation
(1)
hierarchical clustering
(1)
model aggregation
(1)
medical image analysis
(1)
communication efficiency
(1)
generative model
(1)
text-to-image model
(1)
mixture of expert
(1)
non-iid datum
(1)
client-server architecture
(1)
retrieval-augmented generation
(1)
privacy leakage
(1)
membership inference
(1)
Papers
MA-RAG: Automating Role Engineering for RESTful APIs with Multi-Head Attention and Retrieval-Augmented Generation
IJCAI 2025
LPDetective: Dusting the LLM Chats for Prompt Template Abusers
IJCAI 2025
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis
CVPR 2025
Efficient Input-level Backdoor Defense on Text-to-Image Synthesis via Neuron Activation Variation
ICCV 2025
FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis
AAAI 2025
pFLFE: Cross-silo Personalized Federated Learning via Feature Enhancement on Medical Image Segmentation
MICCAI 2024
MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis
ICML 2024
MH-pFLGB: Model Heterogeneous personalized Federated Learning via Global Bypass for Medical Image Analysis
MICCAI 2024
Membership Inference on Text-to-Image Diffusion Models via Conditional Likelihood Discrepancy
NIPS 2024