Mengling Feng
13 papers · 2022–2026 · 8 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (24) ποΈ Keyword Collector (55)
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Century Club Β· Bronze
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Prolific Year Β· Productive
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Renaissance Researcher
(5)
Top co-authors
Research topics
Artificial Intelligence
(5)
Machine Learning
(5)
Core AI
(5)
Healthcare & Medicine
(4)
Natural Language Processing
(4)
Clinical
(4)
Learning Types Β· Machine Learning
(4)
Core Methods
(3)
Computer Vision
(2)
Deep Learning
(2)
Applications
(2)
Learning Types Β· Deep Learning
(2)
Speech & Audio
(1)
Analysis
(1)
Application Areas
(1)
Keywords
contrastive learning
(4)
self-supervised learning
(3)
large language model
(2)
semi-supervised learning
(1)
dialogue generation
(1)
medical imaging
(1)
temporal dynamics
(1)
kl divergence
(1)
entity linking
(1)
information extraction
(1)
medical image segmentation
(1)
emotion recognition
(1)
interpretable machine learning
(1)
visual reasoning
(1)
deepfake detection
(1)
speech recognition
(1)
temporal analysis
(1)
heartbeat classification
(1)
knowledge graph
(1)
domain adaptation
(1)
Papers
MedForge: Interpretable Medical Deepfake Detection via Forgery-aware Reasoning
ACL 2026
Recovering Coherent Affective Patterns: Addressing Modality Missing in Multimodal Sentiment Analysis
AAAI 2026
BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition Identification
MICCAI 2025
Crab: A Novel Configurable Role-Playing LLM with Assessing Benchmark
ACL 2025
DivScore: Zero-Shot Detection of LLM-Generated Text in Specialized Domains
EMNLP 2025
InTriage: Intelligent Telephone Triage in Pre-Hospital Emergency Care
EMNLP 2025
No More Sliding Window: Efficient 3D Medical Image Segmentation with Differentiable Top-K Patch Sampling
MICCAI 2025
Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models
ACL 2025
ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep Staging
IJCAI 2025
Teaching AI the Anatomy Behind the Scan: Addressing Anatomical Flaws in Medical Image Segmentation with Learnable Prior
ICCV 2025
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning
ECCV 2024
Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach
ICLR 2024
Intra-Inter Subject Self-Supervised Learning for Multivariate Cardiac Signals
AAAI 2022