Daquan Zhou
24 papers · 2019–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (3)
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Conference Polyglot
(7)
🏃
Academic Marathon
(6)
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Dynamic Duo
(18)
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Topic Evolution
💎
Century Club
(24)
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Keyword Collector
(97)
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Prolific Year
(5)
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Unstoppable
(7)
Conferences
NIPS (8)
ICCV (5)
CVPR (4)
ICML (3)
ICLR (2)
ECCV (1)
EMNLP (1)
Top co-authors
Keywords
diffusion model
(5)
semantic segmentation
(4)
object detection
(3)
vision transformer
(3)
image generation
(3)
image classification
(3)
model compression
(3)
transfer learning
(2)
large language model
(2)
video generation
(2)
model architecture
(2)
computational efficiency
(2)
parameter-efficient fine-tuning
(2)
self-attention mechanism
(1)
adversarial robustness
(1)
stochastic gradient descent
(1)
representation learning
(1)
model robustness
(1)
metric learning
(1)
benchmark evaluation
(1)
Papers
SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer
ICML 2025
AR-1-to-3: Single Image to Consistent 3D Object via Next-View Prediction
ICCV 2025
InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning
ICLR 2024
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation
NIPS 2024
MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration
EMNLP 2024
LVD-2M: A Long-take Video Dataset with Temporally Dense Captions
NIPS 2024
PromptCoT: Align Prompt Distribution via Adapted Chain-of-Thought
CVPR 2024
Diffusion Probabilistic Model Made Slim
CVPR 2023
PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient
ICML 2023
Expanding Small-Scale Datasets with Guided Imagination
NIPS 2023
Dataset Quantization
ICCV 2023
DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-efficient Fine-Tuning
ICCV 2023
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning
NIPS 2022
Shunted Self-Attention via Multi-Scale Token Aggregation
CVPR 2022
Sharpness-Aware Training for Free
NIPS 2022
Deep Model Reassembly
NIPS 2022
Understanding The Robustness in Vision Transformers
ICML 2022
Coordinate Attention for Efficient Mobile Network Design
CVPR 2021
AutoSpace: Neural Architecture Search With Less Human Interference
ICCV 2021
All Tokens Matter: Token Labeling for Training Better Vision Transformers
NIPS 2021
Rethinking Bottleneck Structure for Efficient Mobile Network Design
ECCV 2020
ConvBERT: Improving BERT with Span-based Dynamic Convolution
NIPS 2020
Neural Epitome Search for Architecture-Agnostic Network Compression
ICLR 2020
PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment
ICCV 2019