Fenglin Liu
26 papers · 2018–2025 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (49) π Academic Marathon Β· Sprint π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Dynamic Duo
(12)
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Topic Evolution
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Renaissance Researcher
(5)
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Trend Setter
ποΈ
Keyword Collector
(103)
Venues
Top co-authors
Research topics
Artificial Intelligence
(12)
Machine Learning
(12)
Natural Language Processing
(11)
Core AI
(10)
Computer Vision
(9)
Learning Types Β· Machine Learning
(9)
Deep Learning
(6)
Healthcare & Medicine
(6)
Applications
(6)
Clinical
(6)
Generation Β· Computer Vision
(6)
Generation Β· Natural Language Processing
(5)
Learning Types Β· Deep Learning
(5)
Domain-Specific
(3)
Learning Paradigms
(3)
Keywords
image captioning
(6)
multimodal learning
(5)
visual question answering
(3)
representation learning
(3)
attention mechanism
(3)
large language model
(3)
clinical decision-making
(2)
knowledge graph
(2)
curriculum learning
(2)
zero-shot learning
(2)
medical image segmentation
(2)
few-shot learning
(2)
knowledge distillation
(2)
medical imaging
(2)
contrastive learning
(2)
medical report generation
(2)
visual attention
(2)
federated learning
(2)
self-supervised learning
(1)
benchmark evaluation
(1)
Papers
Ask Patients with Patience: Enabling LLMs for Human-Centric Medical Dialogue with Grounded Reasoning
EMNLP 2025
DrAgent: Empowering Large Language Models as Medical Agents for Multi-hop Medical Reasoning
EMNLP 2025
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning
MICCAI 2025
Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark
EMNLP 2024
MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual Captioning
ACL 2023
Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels
ACL 2023
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective
NeurIPS 2023
Class-Aware Adversarial Transformers for Medical Image Segmentation
NeurIPS 2022
End-to-end Spoken Conversational Question Answering: Task, Dataset and Model
NAACL 2022
Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations
NeurIPS 2022
Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions
NeurIPS 2022
Audio-Oriented Multimodal Machine Comprehension via Dynamic Inter- and Intra-modality Attention
AAAI 2021
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation
NeurIPS 2021
Competence-based Multimodal Curriculum Learning for Medical Report Generation
ACL 2021
Contrastive Attention for Automatic Chest X-ray Report Generation
ACL 2021
Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation
CVPR 2021
Non-Autoregressive Coarse-to-Fine Video Captioning
AAAI 2021
O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning
ACL 2021
Federated Learning for Spoken Language Understanding
COLING 2020
Federated Learning for Vision-and-Language Grounding Problems
AAAI 2020
Prophet Attention: Predicting Attention with Future Attention
NeurIPS 2020
Rethinking Skip Connection with Layer Normalization
COLING 2020
Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations
NeurIPS 2019
Exploring and Distilling Cross-Modal Information for Image Captioning
IJCAI 2019
Self-Adaptive Scaling for Learnable Residual Structure
CoNLL 2019
simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions
EMNLP 2018