Qi (Cheems) Wang

His research studies the learning paradigms that let large models adapt: meta-learning, multi-task learning and reinforcement learning. The thread through his work is fast adaptation with reliable uncertainty, from neural processes and Bayesian meta-learning during his Ph.D. to task sampling and efficient RL post-training of large reasoning models today.