Junyu Chen

Affiliations:
  • Massachusetts Institute of Technology (MIT), Cambridge, MA, USA
  • Tsinghua University, China


According to our database1, Junyu Chen authored at least 17 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
DC-VideoGen: Efficient Video Generation with Deep Compression Video Autoencoder.
CoRR, September, 2025

DC-Gen: Post-Training Diffusion Acceleration with Deeply Compressed Latent Space.
CoRR, September, 2025

SANA-Video: Efficient Video Generation with Block Linear Diffusion Transformer.
CoRR, September, 2025

Jet-Nemotron: Efficient Language Model with Post Neural Architecture Search.
CoRR, August, 2025

SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

SANA: Efficient High-Resolution Text-to-Image Synthesis with Linear Diffusion Transformers.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

HART: Efficient Visual Generation with Hybrid Autoregressive Transformer.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

DC-AE 1.5: Accelerating Diffusion Model Convergence with Structured Latent Space.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models.
CoRR, 2024

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers.
CoRR, 2024

GenH2R: Learning Generalizable Human-to-Robot Handover via Scalable Simulation, Demonstration, and Imitation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
LeaF: Learning Frames for 4D Point Cloud Sequence Understanding.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023


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