Zhi-Hua Zhou

A centralized model repository can enhance CSI feedback efficiency, achieving significant performance gains while slashing local training requirements.

High variance in draft quality is tackled head-on, leading to a remarkable 66% increase in throughput for speculative decoding in large language models.

Achieving optimal regret in generalized linear bandits with heavy-tailed noise using a novel one-pass update algorithm could revolutionize decision-making in dynamic environments.

You don't need a full causal graph to avoid undesired outcomes; learning a simple order structure can be enough, and even outperform methods that try to learn the whole graph.