Meng Li

papers

902

total citations

papers (16)

MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention

ICCV 2023arXiv

citations

SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems

CVPR 2022arXiv

citations

Content-Oriented Learned Image Compression

ECCV 2022arXiv

citations

Degradation-Aware Feature Perturbation for All-in-One Image Restoration

CVPR 2025arXiv

citations

CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference

NEURIPS 2023arXiv

citations

SMamba: Sparse Mamba for Event-based Object Detection

AAAI 2025arXiv

citations

FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency

NEURIPS 2025arXiv

citations

CARP: Compression Through Adaptive Recursive Partitioning for Multi-Dimensional Images

CVPR 2020arXiv

citations

Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$

ICML 2025arXiv

citations

Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems

AAAI 2024

citations

Meng Li

papers (16)

Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation

Few-Shot Class-Incremental Learning from an Open-Set Perspective

KeepAugment: A Simple Information-Preserving Data Augmentation Approach

AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling

BiT: Robustly Binarized Multi-distilled Transformer

Frame-Event Alignment and Fusion Network for High Frame Rate Tracking

MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention

SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems

Content-Oriented Learned Image Compression

Degradation-Aware Feature Perturbation for All-in-One Image Restoration

CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference

SMamba: Sparse Mamba for Event-based Object Detection

FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency

CARP: Compression Through Adaptive Recursive Partitioning for Multi-Dimensional Images

Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$

Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems

papers (16)

Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation

Few-Shot Class-Incremental Learning from an Open-Set Perspective

KeepAugment: A Simple Information-Preserving Data Augmentation Approach

AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling

BiT: Robustly Binarized Multi-distilled Transformer

Frame-Event Alignment and Fusion Network for High Frame Rate Tracking

MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention

SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems

Content-Oriented Learned Image Compression

Degradation-Aware Feature Perturbation for All-in-One Image Restoration

CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference

SMamba: Sparse Mamba for Event-based Object Detection

FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency

CARP: Compression Through Adaptive Recursive Partitioning for Multi-Dimensional Images

Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large $p$

Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems