Fenglin Liu
29 papers · 2018–2025 · 11 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (7) π Conference Polyglot (11) π Academic Marathon (7) πΊοΈ Taxonomy Completionist (55)
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Taxonomy Completionist
(55)
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Keyword Pioneer
π£
Hot Topic Early Bird
π§¬
Topic Evolution
π€
Dynamic Duo
(15)
π
Trend Setter
β‘
Prolific Year
(10)
π₯
Unstoppable
(8)
ποΈ
Keyword Collector
(107)
π
Century Club
(29)
Conferences
NIPS (7)
ACL (5)
EMNLP (4)
AAAI (3)
IJCNLP (3)
COLING (2)
CONLL (1)
CVPR (1)
IJCAI (1)
MICCAI (1)
NAACL (1)
Top co-authors
Keywords
image captioning
(7)
multimodal learning
(5)
medical report generation
(3)
representation learning
(3)
visual question answering
(3)
curriculum learning
(3)
attention mechanism
(3)
large language model
(3)
knowledge graph
(2)
visual attention
(2)
zero-shot learning
(2)
few-shot learning
(2)
knowledge distillation
(2)
medical imaging
(2)
contrastive learning
(2)
multi-modal learning
(2)
medical image segmentation
(2)
federated learning
(2)
self-supervised learning
(1)
benchmark evaluation
(1)
Papers
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
Ask Patients with Patience: Enabling LLMs for Human-Centric Medical Dialogue with Grounded Reasoning
EMNLP 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
NIPS 2023
End-to-end Spoken Conversational Question Answering: Task, Dataset and Model
NAACL 2022
Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions
NIPS 2022
Class-Aware Adversarial Transformers for Medical Image Segmentation
NIPS 2022
Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations
NIPS 2022
Contrastive Attention for Automatic Chest X-ray Report Generation
ACL 2021
O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning
ACL 2021
Competence-based Multimodal Curriculum Learning for Medical Report Generation
ACL 2021
Audio-Oriented Multimodal Machine Comprehension via Dynamic Inter- and Intra-modality Attention
AAAI 2021
Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation
CVPR 2021
Non-Autoregressive Coarse-to-Fine Video Captioning
AAAI 2021
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation
NIPS 2021
Competence-based Multimodal Curriculum Learning for Medical Report Generation
IJCNLP 2021
Contrastive Attention for Automatic Chest X-ray Report Generation
IJCNLP 2021
O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning
IJCNLP 2021
Prophet Attention: Predicting Attention with Future Attention
NIPS 2020
Federated Learning for Spoken Language Understanding
COLING 2020
Federated Learning for Vision-and-Language Grounding Problems
AAAI 2020
Rethinking Skip Connection with Layer Normalization
COLING 2020
Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations
NIPS 2019
Self-Adaptive Scaling for Learnable Residual Structure
CONLL 2019
Exploring and Distilling Cross-Modal Information for Image Captioning
IJCAI 2019
simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions
EMNLP 2018