Guanlin Li
17 papers · 2018–2026 · 10 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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🗺️ Taxonomy Completionist (44) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Topic Evolution
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Keyword Collector
(90)
📈
Trend Setter
🌈
Renaissance Researcher
(5)
💎
Century Club · Bronze
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Unstoppable · Bronze
⚡
Prolific Year · Productive
Venues
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(9)
Core AI
(8)
Deep Learning
(7)
Natural Language Processing
(7)
Learning Types · Machine Learning
(7)
Computer Vision
(5)
Applications
(5)
Learning Types · Deep Learning
(4)
Application Areas
(3)
Core Methods
(3)
Learning Paradigms
(3)
Models
(3)
Optimization & Theory
(3)
Generation
(2)
Keywords
neural machine translation
(4)
vision-language model
(3)
generative model
(3)
word alignment
(2)
contrastive learning
(2)
large language model
(2)
image restoration
(1)
adversarial robustness
(1)
reinforcement learning
(1)
knowledge distillation
(1)
machine translation
(1)
data augmentation
(1)
in-context learning
(1)
kl divergence
(1)
attention mechanism
(1)
metric learning
(1)
multimodal learning
(1)
self-supervised learning
(1)
chain-of-thought reasoning
(1)
cross-lingual transfer
(1)
Papers
Region-Grounded Report Generation for 3D Medical Imaging: A Fine-Grained Dataset and Graph-Enhanced Framework
ACL 2026
Aligning Sentence Simplification with ESL Learner’s Proficiency for Language Acquisition
NAACL 2025
EDMB: Edge Detector with Mamba
WACV 2025
SA-CLIP: Language Guided Image Spatial and Action Feature Learning
EMNLP 2025
TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
ACL 2025
TRUST-VLM: Thorough Red-Teaming for Uncovering Safety Threats in Vision-Language Models
ICML 2025
AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA
ICML 2024
ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users
NeurIPS 2024
Improving Cross-lingual Transfer with Contrastive Negative Learning and Self-training
COLING 2024
Extracting Robust Models with Uncertain Examples
ICLR 2023
Improving Adversarial Robustness of 3D Point Cloud Classification Models
ECCV 2022
Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder
CVPR 2020
Evaluating Explanation Methods for Neural Machine Translation
ACL 2020
On the Word Alignment from Neural Machine Translation
ACL 2019
Understanding and Improving Hidden Representations for Neural Machine Translation
NAACL 2019
Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization
EMNLP 2019
Generative Bridging Network for Neural Sequence Prediction
NAACL 2018