2 citations · 2 across the 7 of their papers we have counts for
4 papers · 1 filter
SCALE: Scalable Cross-Attention Learning with Extrapolation for Agentic Workflow Scheduling
Zhifei Xu, Jierui Lan, Zixuan Liang +2
Agentic Large Language Model (LLM) systems decompose complex tasks into workflow Directed Acyclic Graphs (DAGs) whose primitives must be scheduled on heterogeneous clusters. Existi…
Enhanced Estimation Techniques for Certified Radii in Randomized Smoothing
Zixuan Liang
This paper presents novel methods for estimating certified radii in randomized smoothing, a technique crucial for certifying the robustness of neural networks against adversarial p…
Efficient Representations for High-Cardinality Categorical Variables in Machine Learning
Zixuan Liang
High\-cardinality categorical variables pose significant challenges in machine learning, particularly in terms of computational efficiency and model interpretability. Traditional o…
Automating Neural Architecture Design without Search
Zixuan Liang, Yanan Sun
Neural structure search (NAS), as the mainstream approach to automate deep neural architecture design, has achieved much success in recent years. However, the performance estimatio…