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Hengjie Li

2 papers indexed

arxivcs.CV2026-07-17

DiTango: Cost-Effective Parallel Diffusion Generation with Selective Attention State Reuse

Yuyang Chen, Runxin Zhong, Zan Zong, Hengjie Li, Yuyang Jin, Jidong Zhai

Recent advances in AI-generated content have driven widespread adoption of Diffusion Transformers (DiTs) for high-resolution, long-duration content generation. While parallelization techniques accelerate diffusion inference, they face significant scalability challenges due to exc…

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arxivcs.RO2026-07-06

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI

Huzhenyu Zhang, Shenghai Yuan, Wenrui Yan, Li Ma, Hengjie Li, Jingcheng Pang, et al.

Data-driven embodied AI is rapidly transitioning into a paradigm that scales training through massively parallel simulation, where GPU-accelerated simulators serve as the foundational data infrastructure. However, as computational throughput scales, the underlying trade-offs betw…

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