Che Liu
24 papers · 2021–2026 · 9 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 (40) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Dynamic Duo
(11)
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Topic Evolution
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Deep Specialist
(11)
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Conference Pioneer
π₯
Unstoppable Β· Bronze
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The Questioner
(2)
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(93)
Top co-authors
Research topics
Artificial Intelligence
(17)
Core AI
(16)
Machine Learning
(15)
Deep Learning
(12)
Natural Language Processing
(8)
Learning Types Β· Machine Learning
(8)
Learning Types Β· Deep Learning
(7)
Generation
(6)
Application Areas
(5)
Core Methods
(5)
Models
(5)
Computer Vision
(4)
Learning Paradigms
(4)
Resources & Methods
(4)
Healthcare & Medicine
(3)
Keywords
multimodal learning
(6)
vision-language model
(5)
zero-shot classification
(5)
medical imaging
(5)
large language model
(4)
self-supervised learning
(4)
representation learning
(4)
instruction tuning
(4)
dialogue system
(3)
vision-language pre-training
(3)
zero-shot learning
(3)
radiology report
(2)
report generation
(2)
contrastive learning
(2)
long context
(2)
multi-turn dialogue
(2)
spatial reasoning
(2)
reinforcement learning
(2)
multimodal large language model
(2)
preference optimization
(1)
Papers
Does RLVR Extend Reasoning Boundaries? Investigating Capability Expansion in Vision-Language Models
ACL 2026
E-ViC: Reasoning Beyond Text via Embodied Visual Chain for Spatial Intelligence
ACL 2026
Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding
WACV 2026
Argus: Benchmarking and Enhancing Vision-Language Models for 3D Radiology Report Generation
ACL 2025
Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?
ACL 2025
Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs
EMNLP 2025
MaskTwins: Dual-form Complementary Masking for Domain-Adaptive Image Segmentation
ICML 2025
MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference
NAACL 2025
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning
MICCAI 2025
MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation
ACL 2025
MLLM-I2W: Harnessing Multimodal Large Language Model for Zero-Shot Composed Image Retrieval
COLING 2025
SuPreME: A Supervised Pre-training Framework for Multimodal ECG Representation Learning
EMNLP 2025
BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval
MICCAI 2024
DialogBench: Evaluating LLMs as Human-like Dialogue Systems
NAACL 2024
EvoR: Evolving Retrieval for Code Generation
EMNLP 2024
G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training
NeurIPS 2024
Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues
EMNLP 2024
LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference
EMNLP 2024
Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models
ACL 2024
Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement
ICML 2024
Frozen Language Model Helps ECG Zero-Shot Learning
MIDL 2023
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias
NeurIPS 2023
Dial2vec: Self-Guided Contrastive Learning of Unsupervised Dialogue Embeddings
EMNLP 2022
DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings
EMNLP 2021