Jincheng Yu
8 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Academic Marathon (5) π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Cross-Pollinator
(15)
Conferences
ICCV (2)
ICLR (2)
CORL (1)
ICML (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
text-to-image generation
(2)
diffusion model
(2)
image generation
(1)
ensemble learning
(1)
self-supervised learning
(1)
attention mechanism
(1)
knowledge distillation
(1)
model distillation
(1)
depth estimation
(1)
image reconstruction
(1)
flow matching
(1)
dynamic scene
(1)
neural radiance field
(1)
novel view synthesis
(1)
cooperative learning
(1)
sparse reward
(1)
intrinsic reward
(1)
latent diffusion
(1)
masked autoregressive
(1)
image tokenization
(1)
Papers
DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer
ICCV 2025
SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer
ICML 2025
SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation
ICCV 2025
SAEIR: Sequentially Accumulated Entropy Intrinsic Reward for Cooperative Multi-Agent Reinforcement Learning with Sparse Reward
IJCAI 2024
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
ICLR 2024
PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis
ICLR 2024
Rad-NeRF: Ray-decoupled Training of Neural Radiance Field
NIPS 2024
Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes
CORL 2020