Zhongwei Wan
22 papers · 2022–2026 · 8 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (40) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird ποΈ Keyword Collector (106)
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The Questioner
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Top co-authors
Research topics
Artificial Intelligence
(18)
Core AI
(16)
Machine Learning
(12)
Natural Language Processing
(7)
Application Areas
(7)
Deep Learning
(6)
Resources & Methods
(6)
Computer Vision
(5)
Learning Paradigms
(4)
Learning Types Β· Machine Learning
(4)
Models
(4)
Optimization & Theory
(4)
Learning Types Β· Deep Learning
(3)
Healthcare & Medicine
(2)
Clinical
(2)
Keywords
large language model
(6)
model compression
(4)
multimodal learning
(4)
long context
(3)
kv cache
(3)
zero-shot classification
(3)
benchmark evaluation
(3)
medical imaging
(3)
vision-language model
(2)
memory optimization
(2)
report generation
(2)
vision-language pre-training
(2)
singular value decomposition
(2)
diffusion model
(2)
weight truncation
(2)
prompt engineering
(1)
knowledge distillation
(1)
zero-shot learning
(1)
post-training quantization
(1)
self-supervised learning
(1)
Papers
QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models
CVPR 2026
D_2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models
ICLR 2025
Argus: Benchmarking and Enhancing Vision-Language Models for 3D Radiology Report Generation
ACL 2025
Benchmarking Large Language Models Under Data Contamination: A Survey from Static to Dynamic Evaluation
EMNLP 2025
Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?
ACL 2025
Can We Trust AI Doctors? A Survey of Medical Hallucination in Large Language and Large Vision-Language Models
ACL 2025
Evolver: Chain-of-Evolution Prompting to Boost Large Multimodal Models for Hateful Meme Detection
COLING 2025
Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs
EMNLP 2025
MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference
NAACL 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
SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression
ICLR 2025
SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression
NAACL 2025
UNComp: Can Matrix Entropy Uncover Sparsity? β A Compressor Design from an Uncertainty-Aware Perspective
EMNLP 2025
DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection
EMNLP 2024
LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference
EMNLP 2024
NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction
NeurIPS 2024
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies
NeurIPS 2024
V-PETL Bench: A Unified Visual Parameter-Efficient Transfer Learning Benchmark
NeurIPS 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
NeurIPS 2023
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks
EMNLP 2022