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Zhengang Wang

2 accepted papers

2026

Sem-MoE: Semantic-aware Model-Data Collaborative Scheduling for Efficient MoE Inference

ICLR 2026poster

Prevailing LLM (Large Language Model) serving engines employ expert parallelism (EP) to implement multi-device inference of massive Mixture-of-Experts (MoE) models. However, the efficiency of expert parallel inference is largely bounded by inter-device communication, as EP embraces expensive all-to-…

Cited by 0SourceScholar
2025

CoffeeBoost: Gradient Boosting Native Conformal Inference for Bayesian Optimization

AAAI 2025technical

Bayesian optimization (BO) is a key technique for solving black-box optimization problems. This study extends the scope of BO from conventional applications (e.g., AutoML and robotics learning) to automated tuning of software systems. Despite GP (Gaussian Process) implementing a foundation formalism…

Cited by 0SourcePDFScholar