Peilin Zhong

Nearly-Linear Time and Massively Parallel Algorithms for $k$-anonymity

PiKE: Adaptive Data Mixing for Large-Scale Multi-Task Learning Under Low Gradient Conflicts

Nested Learning: The Illusion of Deep Learning Architectures

Titans: Learning to Memorize at Test Time