Junsong Chen

About Me

I am currently a research intern at NVIDIA Research supervised by Dr. Enze Xie and Prof. Song Han. I am also an incoming Ph.D. student in Department of Computer Science at the University of Hong Kong under the supervision of Prof. Ping Luo. Previously, I have received my M.E. degree from IIAU Lab of DLUT EECS, advised by Prof. Huchuan Lu. My research area is the intersection of AIGC and machine learning, especially algorithm and system co-design for generative AI and its applications.

News

• [3/2025] 💪SANA-1.5(Inference Test Scaling) , 🏃SANA-Sprint(One-step Diffusion) are all released.
• [1/2025] ⚡️Sana(Oral) , DCAE , HART are all accepted to ICLR’25.
• [10/2024] “⚡️SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer” is released.
• [10/2024] “DC-AE” and “HART” code & paper are released.
• [06/2024] “PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation” is accepted to ECCV’24.
• [01/2024] “PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis” is accepted as Spotlight paper to ICLR’24.
• [07/2023] “MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation” is accepted to ICCV’23.
• [03/2023] “ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data” is accepted to CVPR’23.

Selected Publications

Experiences

Awards & Honors

Honors

Services

• Conference Reviewer: ICLR, ICML, NeurIPS

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