Ligeng Zhu

Scaling RL to Long Videos

arXiv 2025

OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM

arXiv 2025

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity

arXiv 2025

FoundationMotion: Auto-Labeling and Reasoning about Spatial Movement in Videos

arXiv 2025

NVILA: Efficient Frontier Visual Language Models

CVPR 2025 1

COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training

arXiv 2024

VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation

arXiv 2024

Wolf: Captioning Everything with a World Summarization Framework

arXiv 2024

TinyTL: Reduce Activations, Not Trainable Parameters for Efficient On-Device Learning

tinytl-reduce-memory-not-parameters-for

HAT: Hardware-Aware Transformers for Efficient Natural Language Processing

hat-hardware-aware-transformers-for-efficient-1

Sparsely Aggregated Convolutional Networks

sparsely-aggregated-convolutional-networks-1

Song Han

Hongxu Yin

Yao Lu

Zhijian Liu

Baifeng Shi

Han Cai

Jan Kautz

Pavlo Molchanov

Sifei Liu

Yukang Chen