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Huazhong Yang

24 papers · 2020–2025 · 9 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (6) 🐣 Hot Topic Early Bird
πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🀝 Dynamic Duo (23) πŸ‘‘ Triple Crown πŸ† Grand Slam 🧬 Topic Evolution ⚑ Prolific Year (7) πŸ”₯ Unstoppable (6) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (79) πŸ’Ž Century Club (24)

Conferences

ECCV (5) ICLR (4) NIPS (4) AAAI (3) CVPR (2) ICCV (2) ICML (2) CORL (1) WACV (1)

Top co-authors

Yu Wang (23) Xuefei Ning (19) Guohao Dai (8) Tianchen Zhao (8) Zinan Lin (6) Shiyao Li (5) Shengen Yan (5) Enshu Liu (5) Zixuan Zhou (4) Yi Cai (3)

Keywords

image generation (2) vision-language model (2) neural architecture search (2) multi-agent reinforcement learning (2) curriculum learning (2) model compression (2) efficient computing (2) knowledge distillation (1) self-supervised learning (1) network architecture (1) ensemble learning (1) attention mechanism (1) adversarial robustness (1) in-context learning (1) depth estimation (1) image restoration (1) model evaluation (1) generative evaluation (1) image synthesis (1) prompt engineering (1)

Papers

ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation ICLR 2025 MBQ: Modality-Balanced Quantization for Large Vision-Language Models CVPR 2025 Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better ICLR 2025 FrameFusion: Combining Similarity and Importance for Video Token Reduction on Large Vision Language Models ICCV 2025 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 Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study NIPS 2024 TCP: Triplet Contrastive-Relationship Preserving for Class-Incremental Learning WACV 2024 Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning AAAI 2024 Evaluating Quantized Large Language Models ICML 2024 A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models ICLR 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 Learning Efficient Multi-agent Cooperative Visual Exploration ECCV 2022 CLOSE: Curriculum Learning on the Sharing Extent towards Better One-Shot NAS ECCV 2022 TA-GATES: An Encoding Scheme for Neural Network Architectures NIPS 2022 Variational Automatic Curriculum Learning for Sparse-Reward Cooperative Multi-Agent Problems NIPS 2021 Evaluating Efficient Performance Estimators of Neural Architectures NIPS 2021 High-quality Single-model Deep Video Compression with Frame-Conv3D and Multi-frame Differential Modulation ECCV 2020 A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS ECCV 2020 DSA: More Efficient Budgeted Pruning via Differentiable Sparsity Allocation ECCV 2020 Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes CORL 2020