Huazhong Yang

papers

629

total citations

papers (17)

A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS

ECCV 2020arXiv

116

citations

Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems

NEURIPS 2021arXiv

citations

Mixture of Attention Spans: Optimizing LLM Inference Efficiency with Heterogeneous Sliding-Window Lengths

COLM 2025arXiv

citations

Learning Efficient Multi-agent Cooperative Visual Exploration

ECCV 2022arXiv

citations

FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Vision Language Models

ICCV 2025arXiv

citations

Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection

ICCV 2023arXiv

citations

MBQ: Modality-Balanced Quantization for Large Vision-Language Models

CVPR 2025arXiv

citations

CLOSE: Curriculum Learning on the Sharing Extent towards Better One-Shot NAS

ECCV 2022arXiv

citations

R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing

NEURIPS 2025arXiv

citations

FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models

CVPR 2024arXiv

citations

Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning

AAAI 2024arXiv

citations

Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better

ICLR 2025arXiv

citations

TA-GATES: An Encoding Scheme for Neural Network Architectures

NEURIPS 2022

citations

High-quality Single-model Deep Video Compression with Frame-Conv3D and Multi-frame Differential Modulation

ECCV 2020

citations

Huazhong Yang

papers (17)

A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS

DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation

Evaluating Efficient Performance Estimators of Neural Architectures

Evaluating Quantized Large Language Models

Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems

Mixture of Attention Spans: Optimizing LLM Inference Efficiency with Heterogeneous Sliding-Window Lengths

Learning Efficient Multi-agent Cooperative Visual Exploration

FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Vision Language Models

Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection

MBQ: Modality-Balanced Quantization for Large Vision-Language Models

CLOSE: Curriculum Learning on the Sharing Extent towards Better One-Shot NAS

R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing

FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models

Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning

Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better

TA-GATES: An Encoding Scheme for Neural Network Architectures

High-quality Single-model Deep Video Compression with Frame-Conv3D and Multi-frame Differential Modulation

papers (17)

A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS

DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation

Evaluating Efficient Performance Estimators of Neural Architectures

Evaluating Quantized Large Language Models

Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems

Mixture of Attention Spans: Optimizing LLM Inference Efficiency with Heterogeneous Sliding-Window Lengths

Learning Efficient Multi-agent Cooperative Visual Exploration

FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Vision Language Models

Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection

MBQ: Modality-Balanced Quantization for Large Vision-Language Models

CLOSE: Curriculum Learning on the Sharing Extent towards Better One-Shot NAS

R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing

FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models

Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning

Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better

TA-GATES: An Encoding Scheme for Neural Network Architectures

High-quality Single-model Deep Video Compression with Frame-Conv3D and Multi-frame Differential Modulation