Zhongwei Wan
21 papers · 2022–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🌈 Renaissance Researcher (6)
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Interdisciplinary Bridge
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Keyword Pioneer
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The Questioner
(3)
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Century Club
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Conferences
EMNLP (6)
ACL (4)
NIPS (4)
ICLR (2)
ICML (2)
NAACL (2)
COLING (1)
Top co-authors
Research topics
Keywords
large language model
(4)
multimodal learning
(3)
medical imaging
(3)
benchmark evaluation
(3)
diffusion model
(2)
model compression
(2)
zero-shot classification
(2)
long context
(2)
vision-language pre-training
(2)
report generation
(2)
kv cache
(2)
image captioning
(1)
transfer learning
(1)
contextual reasoning
(1)
prompt engineering
(1)
representation learning
(1)
knowledge distillation
(1)
brain-computer interface
(1)
zero-shot learning
(1)
parameter-efficient transfer learning
(1)
Papers
Benchmarking Large Language Models Under Data Contamination: A Survey from Static to Dynamic Evaluation
EMNLP 2025
Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs
EMNLP 2025
$\text{D}_{2}\text{O}$: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models
ICLR 2025
SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
ICLR 2025
MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation
ACL 2025
ParallelComp: Parallel Long-Context Compressor for Length Extrapolation
ICML 2025
Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?
ACL 2025
Argus: Benchmarking and Enhancing Vision-Language Models for 3D Radiology Report Generation
ACL 2025
Evolver: Chain-of-Evolution Prompting to Boost Large Multimodal Models for Hateful Meme Detection
COLING 2025
SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression
NAACL 2025
MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference
NAACL 2025
Can We Trust AI Doctors? A Survey of Medical Hallucination in Large Language and Large Vision-Language Models
ACL 2025
UNComp: Can Matrix Entropy Uncover Sparsity? — A Compressor Design from an Uncertainty-Aware Perspective
EMNLP 2025
DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection
EMNLP 2024
NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction
NIPS 2024
V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark
NIPS 2024
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies
NIPS 2024
LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference
EMNLP 2024
Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement
ICML 2024
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias
NIPS 2023
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks
EMNLP 2022