Yu Feng

Achieving 18.5x faster city-scale 3D rendering on mobile VR devices while slashing energy consumption by 92.4% could redefine immersive experiences in urban environments.

A compact optical tactile sensor achieves near-perfect contact classification and precise 3D force tracking without the need for cameras or complex imaging systems.

LARC achieves a staggering 10.28x speedup in trajectory certification without sacrificing accuracy, revolutionizing how we approach robot motion planning.

FIBER achieves up to 2.25x speedup in LLM serving by decoupling tensor computation from register ownership, revolutionizing GPU efficiency.

Deltoris achieves a staggering 34.2× speedup for real-time VLA inference, revolutionizing how embodied AI can operate on edge devices.

DeGS redefines the performance landscape for 3D Gaussian Splatting, achieving up to 7.25x throughput improvements while maintaining high processing element utilization.

Kaleido achieves a remarkable 5.9x speedup in video diffusion transformers by intelligently reusing computations based on latent space correlations.

Modern LLM performance hinges on dependency structures rather than individual instruction latencies, revealing a critical insight for GPU optimization.

GF-DiT achieves up to 6.01× throughput improvement and 95% latency reduction by dynamically adapting GPU parallelism in response to workload demands.