Zhijun Tu
11 papers · 2022–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (16) π Conference Polyglot (6) π Renaissance Researcher (5) π§ Keyword Pioneer
πΊοΈ
Taxonomy Completionist
(16)
π€
Dynamic Duo
(10)
π
Grand Slam
β‘
Prolific Year
(5)
π₯
Unstoppable
(5)
π
Century Club
(10)
Conferences
AAAI (2)
CVPR (2)
ECCV (2)
ICLR (2)
NIPS (2)
ICML (1)
Top co-authors
Keywords
diffusion model
(2)
image super-resolution
(2)
u-shaped architecture
(2)
diffusion transformer
(2)
image super resolution
(2)
image generation
(1)
binary classification
(1)
efficient computing
(1)
u-net architecture
(1)
sampling efficiency
(1)
generative model
(1)
low-rank adaptation
(1)
latent space
(1)
generative adversarial network
(1)
mixture of expert
(1)
denoising diffusion
(1)
latent diffusion
(1)
ai-generated image detection
(1)
frequency adaptation
(1)
degradation estimation
(1)
Papers
Mixture of Ranks with Degradation-Aware Routing for One-Step Real-World Image Super-Resolution
AAAI 2026
Diff-MoE: Diffusion Transformer with Time-Aware and Space-Adaptive Experts
ICML 2025
Effective Diffusion Transformer Architecture for Image Super-Resolution
AAAI 2025
RaSS: Improving Denoising Diffusion Samplers with Reinforced Active Sampling Scheduler
CVPR 2025
CBQ: Cross-Block Quantization for Large Language Models
ICLR 2025
AugKD: Ingenious Augmentations Empower Knowledge Distillation for Image Super-Resolution
ICLR 2025
PQ-SAM: Post-training Quantization for Segment Anything Model
ECCV 2024
U-DiTs: Downsample Tokens in U-Shaped Diffusion Transformers
NIPS 2024
GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image
NIPS 2023
Toward Accurate Post-Training Quantization for Image Super Resolution
CVPR 2023
AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets
ECCV 2022