Xiang Li

Existing economic simulations are stuck in the past—this blueprint reveals how to build adaptive, self-evolving economic agents that could transform decision-making in AI.

Reducing target-muscle activity by up to 48% during dynamic tasks could revolutionize upper-limb exoskeleton design and user experience.

Target frame reconstruction from sparse event data achieves up to 3.29 dB improvement in PSNR, showcasing a breakthrough in video fidelity.