40 citations · 112 across the 14 of their papers we have counts for
15 papers
A Theoretical Framework for Auxiliary-Loss-Free Load Balancing of Sparse Mixture-of-Experts in Large-Scale AI Models
X. Y. Han, Yuan Zhong
In large-scale AI training, Sparse Mixture-of-Experts (s-MoE) layers enable scaling by activating only a small subset of experts per token. An operational challenge in this design…
A Computational Method for Solving the Stochastic Joint Replenishment Problem in High Dimensions
Barış Ata, Wouter van Eekelen, Yuan Zhong
We consider a discrete-time formulation for a class of high-dimensional stochastic joint replenishment problems. First, we approximate the problem by a continuous-time impulse cont…
Multilevel Picard scheme for solving high-dimensional drift control problems with state constraints
Yuan Zhong
Motivated by applications to the dynamic control of queueing networks, we develop a simulation-based scheme, the so-called multilevel Picard (MLP) approximation, for solving high-d…
Information and Memory in Dynamic Resource Allocation
Kuang Xu, Yuan Zhong
We propose a general framework, dubbed Stochastic Processing under Imperfect Information (SPII), to study the impact of information constraints and memories on dynamic resource all…
Improved queue-size scaling for input-queued switches via graph factorization
Jiaming Xu, Yuan Zhong
This paper studies the scaling of the expected total queue size in an input-queued switch, as a function of both the load and the system scale . We provide a new…
Robust Scheduling for Flexible Processing Networks
Ramtin Pedarsani, Jean Walrand, Yuan Zhong
Modern processing networks often consist of heterogeneous servers with widely varying capabilities, and process job flows with complex structure and requirements. A major challenge…