Han Cai
24 papers · 2018–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (32) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Grand Slam
π€
Dynamic Duo
(22)
π§
Keyword Pioneer
π¬
Deep Specialist
(14)
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Prolific
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
ποΈ
Keyword Collector
(108)
Top co-authors
Research topics
Deep Learning
(21)
Machine Learning
(17)
Application Areas
(15)
Computer Vision
(12)
Models
(11)
Architectures
(9)
Generation
(9)
Techniques
(9)
Artificial Intelligence
(7)
Core AI
(7)
Optimization & Theory
(6)
Analysis
(3)
Learning Types Β· Deep Learning
(3)
Reinforcement Learning
(2)
Learning Types Β· Machine Learning
(2)
Keywords
model compression
(7)
diffusion model
(7)
image generation
(7)
neural architecture search
(6)
memory efficiency
(3)
latent diffusion
(3)
efficient computing
(3)
reinforcement learning
(2)
high resolution
(2)
diffusion transformer
(2)
text-to-image generation
(2)
efficient inference
(2)
hardware-aware design
(2)
multimodal learning
(1)
model distillation
(1)
semantic segmentation
(1)
knowledge distillation
(1)
video generation
(1)
model quantization
(1)
policy gradient
(1)
Papers
COAT: Compressing Optimizer states and Activations for Memory-Efficient FP8 Training
ICLR 2025
DC-AE 1.5: Accelerating Diffusion Model Convergence with Structured Latent Space
ICCV 2025
DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer
ICCV 2025
Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models
ICLR 2025
HART: Efficient Visual Generation with Hybrid Autoregressive Transformer
ICLR 2025
SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer
ICML 2025
SANA: Efficient High-Resolution Text-to-Image Synthesis with Linear Diffusion Transformers
ICLR 2025
SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation
ICCV 2025
Scaling Vision Pre-Training to 4K Resolution
CVPR 2025
Sparse Video-Gen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity
ICML 2025
Condition-Aware Neural Network for Controlled Image Generation
CVPR 2024
DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models
CVPR 2024
EfficientViT: Lightweight Multi-Scale Attention for High-Resolution Dense Prediction
ICCV 2023
Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation
CVPR 2022
Network Augmentation for Tiny Deep Learning
ICLR 2022
Memory-efficient Patch-based Inference for Tiny Deep Learning
NeurIPS 2021
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
CVPR 2020
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
ACL 2020
Once-for-All: Train One Network and Specialize it for Efficient Deployment
ICLR 2020
TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning
NeurIPS 2020
Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient
AAAI 2019
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
ICLR 2019
Activation Maximization Generative Adversarial Nets
ICLR 2018
Path-Level Network Transformation for Efficient Architecture Search
ICML 2018