Mukesh Prasad
7 papers · 2023–2026 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14) π§ Keyword Pioneer
π
Cross-Pollinator
(13)
Conferences
AAAI (4)
ECCV (1)
ICCV (1)
MICCAI (1)
Top co-authors
Keywords
influence maximization
(2)
contrastive learning
(1)
adversarial learning
(1)
few-shot learning
(1)
domain adaptation
(1)
direct preference optimization
(1)
emotion recognition
(1)
community detection
(1)
social network analysis
(1)
information diffusion
(1)
social network
(1)
bias mitigation
(1)
vision-language model
(1)
clip model
(1)
anomaly segmentation
(1)
quantum-inspired algorithm
(1)
fake news detection
(1)
cross-domain classification
(1)
cultural difference
(1)
metaheuristic optimization
(1)
Papers
When Equal Isnβt Fair: Mitigating Over-Normalization in Large Language Models (Student Abstract)
AAAI 2026
DualPrompt-MedCap: A Dual-Prompt Enhanced Approach for Medical Image Captioning
MICCAI 2025
DictAS: A Framework for Class-Generalizable Few-Shot Anomaly Segmentation via Dictionary Lookup
ICCV 2025
VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation
ECCV 2024
DQSSA: A Quantum-Inspired Solution for Maximizing Influence in Online Social Networks (Student Abstract)
AAAI 2024
An Emotion-Guided Approach to Domain Adaptive Fake News Detection Using Adversarial Learning (Student Abstract)
AAAI 2023
CKS: A Community-Based K-shell Decomposition Approach Using Community Bridge Nodes for Influence Maximization (Student Abstract)
AAAI 2023