Haokun Lin
11 papers · 2023–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Cross-Pollinator (12) π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (21) π Interdisciplinary Bridge
π§
Keyword Pioneer
π
Conference Polyglot
(6)
β‘
Prolific Year
(7)
π
Century Club
(10)
β
The Questioner
Conferences
ACL (2)
CVPR (2)
ECCV (2)
ICLR (2)
NIPS (2)
ICCV (1)
Top co-authors
Keywords
large language model
(3)
model compression
(3)
multimodal large language model
(2)
model quantization
(2)
model pruning
(1)
multimodal learning
(1)
knowledge distillation
(1)
medical report generation
(1)
attention mechanism
(1)
instruction tuning
(1)
referring expression
(1)
knowledge graph
(1)
dynamic graph
(1)
vision-language model
(1)
weight quantization
(1)
code generation
(1)
kv cache
(1)
fine-grained understanding
(1)
quantization error
(1)
medical imaging
(1)
Papers
EfficientLLM: Unified Pruning-Aware Pretraining for Auto-Designed Compact Language Models
ACL 2026
DOGR: Towards Versatile Visual Document Grounding and Referring
ICCV 2025
Image-level Memorization Detection via Inversion-based Inference Perturbation
ICLR 2025
MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error Metric
CVPR 2024
DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs
NIPS 2024
Learning with Counterfactual Explanations for Radiology Report Generation
ECCV 2024
Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models
ICLR 2024
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?
ECCV 2024
Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs
NIPS 2024
IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact
ACL 2024
Dynamic Graph Enhanced Contrastive Learning for Chest X-Ray Report Generation
CVPR 2023