Ning Liu

papers

739

total citations

papers (17)

Universal Physical Camouflage Attacks on Object Detectors

CVPR 2020arXiv

200

citations

FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering

AAAI 2024arXiv

125

citations

MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge

NEURIPS 2021arXiv

114

citations

Scalable Rule-Based Representation Learning for Interpretable Classification

NEURIPS 2021arXiv

citations

Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?

NEURIPS 2021arXiv

citations

ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction

ICCV 2023arXiv

citations

Domain Agnostic Fourier Neural Operators

NEURIPS 2023arXiv

citations

A Comprehensive Overhaul of Multimodal Assistant with Small Language Models

AAAI 2025arXiv

citations

Harnessing the Power of Neural Operators with Automatically Encoded Conservation Laws

ICML 2024arXiv

citations

EPSD: Early Pruning with Self-Distillation for Efficient Model Compression

AAAI 2024arXiv

citations

FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency

NEURIPS 2025arXiv

citations

AUTE: Peer-Alignment and Self-Unlearning Boost Adversarial Robustness for Training Ensemble Models

AAAI 2025

citations

T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Large Language Model Signals for Science Question Answering

AAAI 2024

citations

ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector

CVPR 2023

citations

Ning Liu

papers (17)

Universal Physical Camouflage Attacks on Object Detectors

FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering

MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge

Scalable Rule-Based Representation Learning for Interpretable Classification

Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?

ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction

Domain Agnostic Fourier Neural Operators

A Comprehensive Overhaul of Multimodal Assistant with Small Language Models

Harnessing the Power of Neural Operators with Automatically Encoded Conservation Laws

EPSD: Early Pruning with Self-Distillation for Efficient Model Compression

FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency

AUTE: Peer-Alignment and Self-Unlearning Boost Adversarial Robustness for Training Ensemble Models

CP3: Channel Pruning Plug-In for Point-Based Networks

Shape Self-Correction for Unsupervised Point Cloud Understanding

Teach Less, Learn More: On the Undistillable Classes in Knowledge Distillation

T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Large Language Model Signals for Science Question Answering

ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector

papers (17)

Universal Physical Camouflage Attacks on Object Detectors

FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering

MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge

Scalable Rule-Based Representation Learning for Interpretable Classification

Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?

ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction

Domain Agnostic Fourier Neural Operators

A Comprehensive Overhaul of Multimodal Assistant with Small Language Models

Harnessing the Power of Neural Operators with Automatically Encoded Conservation Laws

EPSD: Early Pruning with Self-Distillation for Efficient Model Compression

FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency

AUTE: Peer-Alignment and Self-Unlearning Boost Adversarial Robustness for Training Ensemble Models

CP3: Channel Pruning Plug-In for Point-Based Networks

Shape Self-Correction for Unsupervised Point Cloud Understanding

Teach Less, Learn More: On the Undistillable Classes in Knowledge Distillation

T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Large Language Model Signals for Science Question Answering

ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector