Ning Liu
39 papers · 2019–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (11) π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (11)
πΊοΈ
Taxonomy Completionist
(11)
π§
Keyword Pioneer
π
Cross-Pollinator
(8)
π
Grand Slam
π
Triple Crown
π₯
Mega-Team
(37)
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(173)
π
Century Club
(35)
β‘
Prolific Year
(5)
β
The Questioner
(2)
π₯
Unstoppable
(7)
Conferences
AAAI (11)
NIPS (8)
ICML (5)
CVPR (4)
ACL (3)
EMNLP (2)
ICCV (2)
AISTATS (1)
ICLR (1)
IJCAI (1)
RSS (1)
Top co-authors
Keywords
model compression
(6)
large language model
(5)
knowledge distillation
(4)
neural network
(3)
network pruning
(3)
representation learning
(3)
adversarial attack
(3)
weight initialization
(2)
robot manipulation
(2)
deep neural network
(2)
efficient computing
(2)
model pruning
(2)
neural network pruning
(2)
point cloud
(2)
adversarial training
(2)
self-supervised learning
(2)
attention mechanism
(2)
lottery ticket hypothesis
(2)
contrastive learning
(2)
object detection
(2)
Papers
D2 Prune: Sparsifying Large Language Models via Dual Taylor Expansion and Attention Distribution Awareness
AAAI 2026
On the (In-)Security of the Shuffling Defense in the Transformer Secure Inference
ACL 2026
MedOmni-45Β°: A SafetyβPerformance Benchmark for Reasoning-Oriented LLMs in Medicine
AAAI 2026
STEP-Nav: Spatial-Temporal Efficient Visual Token Pruning for Vision-and-Language Navigation with Large Language Models
AAAI 2026
A Comprehensive Overhaul of Multimodal Assistant with Small Language Models
AAAI 2025
Negative Matters: Multi-Granularity Hard-Negative Synthesis and Anchor-Token-Aware Pooling for Enhanced Text Embeddings
ACL 2025
Neural Interpretable PDEs: Harmonizing Fourier Insights with Attention for Scalable and Interpretable Physics Discovery
ICML 2025
ChatVLA: Unified Multimodal Understanding and Robot Control with Vision-Language-Action Model
EMNLP 2025
An Efficient Private GPT Never Autoregressively Decodes
ICML 2025
RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation
RSS 2025
AUTE: Peer-Alignment and Self-Unlearning Boost Adversarial Robustness for Training Ensemble Models
AAAI 2025
Harnessing the Power of Neural Operators with Automatically Encoded Conservation Laws
ICML 2024
Personalized Federated Learning for Cross-City Traffic Prediction
IJCAI 2024
AlterMOMA: Fusion Redundancy Pruning for Camera-LiDAR Fusion Models with Alternative Modality Masking
NIPS 2024
Nonlocal Attention Operator: Materializing Hidden Knowledge Towards Interpretable Physics Discovery
NIPS 2024
EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching
NIPS 2024
EPSD: Early Pruning with Self-Distillation for Efficient Model Compression
AAAI 2024
FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering
AAAI 2024
T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Large Language Model Signals for Science Question Answering
AAAI 2024
Enhancing Learning-Based Binary Code Similarity Detection Model through Adversarial Training with Multiple Function Variants
EMNLP 2024
An LLM can Fool Itself: A Prompt-Based Adversarial Attack
ICLR 2024
INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation
AISTATS 2023
ScaleKD: Distilling Scale-Aware Knowledge in Small Object Detector
CVPR 2023
Domain Agnostic Fourier Neural Operators
NIPS 2023
Alignment-Enriched Tuning for Patch-Level Pre-trained Document Image Models
AAAI 2023
CP3: Channel Pruning Plug-In for Point-Based Networks
CVPR 2023
ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction
ICCV 2023
Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning
ICML 2023
Differentiable Multi-Agent Actor-Critic for Multi-Step Radiology Report Summarization
ACL 2022
Teach Less, Learn More: On the Undistillable Classes in Knowledge Distillation
NIPS 2022
Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot?
NIPS 2021
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge
NIPS 2021
Scalable Rule-Based Representation Learning for Interpretable Classification
NIPS 2021
Shape Self-Correction for Unsupervised Point Cloud Understanding
ICCV 2021
Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not?
ICML 2021
Universal Physical Camouflage Attacks on Object Detectors
CVPR 2020
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization
AAAI 2020
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates
AAAI 2020
ADCrowdNet: An Attention-Injective Deformable Convolutional Network for Crowd Understanding
CVPR 2019