Ling Liu
34 papers · 2017–2026 · 13 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 6 separate collaboration groups - the largest holds only 47% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Ling Liu?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Tiansheng Huang, Fatih Ilhan, Sihao Hu
16 papers
· 2021–2026
· CVPR, NeurIPS, EACL
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A Multi-Agent Perception-Action Alliance for Efficient Long Video Reasoning
CVPR 2026
Attention-aware Inference Optimizations for Large Vision-Language Models with Memory-efficient Decoding
CVPR 2026
H3Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMs
EACL 2026
Adversarial Attention Perturbations for Large Object Detection Transformers
ICCV 2025
Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning Attack
ICML 2025
Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation
ICLR 2025
Adaptive Deep Neural Network Inference Optimization With EENet
WACV 2024
LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity
EMNLP 2024
Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack
NeurIPS 2024
Personalized Privacy Protection Mask Against Unauthorized Facial Recognition
ECCV 2024
Resource-Efficient Transformer Pruning for Finetuning of Large Models
CVPR 2024
Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack
NeurIPS 2024
Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training
NeurIPS 2023
STDLens: Model Hijacking-Resilient Federated Learning for Object Detection
CVPR 2023
ScaleFL: Resource-Adaptive Federated Learning With Heterogeneous Clients
CVPR 2023
Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics
CVPR 2021