Che Liu
24 papers · 2021–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (12) 🏃 Academic Marathon (5) 🌍 Conference Polyglot (9) 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (6)
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Renaissance Researcher
(6)
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Conference Polyglot
(9)
🏃
Academic Marathon
(5)
🤝
Dynamic Duo
(11)
🔬
Deep Specialist
(10)
🧬
Topic Evolution
🗃️
Keyword Collector
(82)
❓
The Questioner
🚀
Conference Pioneer
⚡
Prolific Year
(9)
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Unstoppable
(6)
💎
Century Club
(22)
Conferences
EMNLP (7)
ACL (6)
ICML (2)
MICCAI (2)
NAACL (2)
NIPS (2)
COLING (1)
MIDL (1)
WACV (1)
Top co-authors
Keywords
medical imaging
(5)
multimodal learning
(5)
instruction tuning
(4)
zero-shot classification
(4)
representation learning
(4)
vision-language model
(4)
large language model
(3)
dialogue system
(3)
zero-shot learning
(3)
self-supervised learning
(3)
vision-language pre-training
(3)
report generation
(2)
long context
(2)
contrastive learning
(2)
radiology report
(2)
multi-turn dialogue
(2)
spatial reasoning
(2)
multimodal large language model
(2)
reinforcement learning
(2)
image captioning
(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
MLLM-I2W: Harnessing Multimodal Large Language Model for Zero-Shot Composed Image Retrieval
COLING 2025
Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs
EMNLP 2025
MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation
ACL 2025
Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?
ACL 2025
SuPreME: A Supervised Pre-training Framework for Multimodal ECG Representation Learning
EMNLP 2025
MaskTwins: Dual-form Complementary Masking for Domain-Adaptive Image Segmentation
ICML 2025
MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning
MICCAI 2025
MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference
NAACL 2025
EvoR: Evolving Retrieval for Code Generation
EMNLP 2024
Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues
EMNLP 2024
Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement
ICML 2024
LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference
EMNLP 2024
BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval
MICCAI 2024
Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models
ACL 2024
G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training
NIPS 2024
DialogBench: Evaluating LLMs as Human-like Dialogue Systems
NAACL 2024
Frozen Language Model Helps ECG Zero-Shot Learning
MIDL 2023
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias
NIPS 2023
Dial2vec: Self-Guided Contrastive Learning of Unsupervised Dialogue Embeddings
EMNLP 2022
DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings
EMNLP 2021