Haopeng Zhang

Abstract skills can transform reinforcement learning by providing dense supervision when traditional reward signals are inadequate, leading to significant performance gains.

Zero-Fi can recognize new human activities using Wi-Fi signals without any labeled samples, revolutionizing the potential for real-time activity monitoring.

Agentic AI struggles with computational imaging tasks, revealing a stark divide between visual plausibility and physical fidelity.