Huazhong Yang
24 papers · 2020–2025 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (47) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Dynamic Duo
(23)
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Topic Evolution
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Century Club Β· Bronze
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Trend Setter
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Unstoppable Β· Bronze
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The Questioner
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Keyword Collector
(100)
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Prolific Year Β· Productive
Top co-authors
Research topics
Machine Learning
(17)
Deep Learning
(10)
Application Areas
(10)
Artificial Intelligence
(8)
Core AI
(8)
Learning Types
(7)
Models
(7)
Computer Vision
(5)
Optimization & Theory Β· Deep Learning
(4)
Optimization & Theory Β· Machine Learning
(4)
Natural Language Processing
(3)
Generation Β· Computer Vision
(3)
Techniques
(3)
Reinforcement Learning
(2)
Generation Β· Natural Language Processing
(2)
Keywords
post-training quantization
(3)
image generation
(3)
neural architecture search
(2)
vision-language model
(2)
efficient computing
(2)
multi-agent reinforcement learning
(2)
large language model
(2)
diffusion probabilistic model
(2)
model compression
(2)
curriculum learning
(2)
diffusion model
(2)
attention mechanism
(1)
self-supervised learning
(1)
knowledge distillation
(1)
video generation
(1)
network architecture
(1)
generative evaluation
(1)
ensemble learning
(1)
depth estimation
(1)
model evaluation
(1)
Papers
FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Vision Language Models
ICCV 2025
Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better
ICLR 2025
MBQ: Modality-Balanced Quantization for Large Vision-Language Models
CVPR 2025
ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation
ICLR 2025
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning
AAAI 2024
A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models
ICLR 2024
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
NeurIPS 2024
Evaluating Quantized Large Language Models
ICML 2024
FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models
CVPR 2024
Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation
ICLR 2024
TCP: Triplet Contrastive-Relationship Preserving for Class-Incremental Learning
WACV 2024
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection
ICCV 2023
Ensemble-in-One: Ensemble Learning within Random Gated Networks for Enhanced Adversarial Robustness
AAAI 2023
Memory-Oriented Structural Pruning for Efficient Image Restoration
AAAI 2023
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models
ICML 2023
CLOSE: Curriculum Learning on the Sharing Extent towards Better One-Shot NAS
ECCV 2022
Learning Efficient Multi-agent Cooperative Visual Exploration
ECCV 2022
TA-GATES: An Encoding Scheme for Neural Network Architectures
NeurIPS 2022
Evaluating Efficient Performance Estimators of Neural Architectures
NeurIPS 2021
Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems
NeurIPS 2021
A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS
ECCV 2020
Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes
CoRL 2020
DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation
ECCV 2020
High-quality Single-model Deep Video Compression with Frame-Conv3D and Multi-frame Differential Modulation
ECCV 2020