Feng Yan

CEDULE: A Scheduling Framework for Burstable Performance in Cloud Computing

2018

Cloud service providers use the concept of "burstable performance instance" that can temporally ramp up its performance to handle bursty workloads by utilizing spare resources. The state-of-the-practice to using the available burst capacity is independent …

MArk: Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving.

2019 · Rare & Special e-Zone (The Hong Kong University of Science and Technology)

The advances of Machine Learning (ML) have sparked a growing demand of ML-as-a-Service: developers train ML models and publish them in the cloud as online services to provide low-latency inference at scale. The key challenge …

BatchCrypt: Efficient homomorphic encryption for cross-silo federated learning

2020 · Rare & Special e-Zone (The Hong Kong University of Science and Technology)

Cross-silo federated learning (FL) enables organizations (e.g., financial or medical) to collaboratively train a machine learning model by aggregating local gradient updates from each client without sharing privacy-sensitive data. To ensure no update is revealed …

ComposeRAG: A Modular and Composable RAG for Corpus-Grounded Multi-Hop Question Answering

2025 · arXiv (Cornell University)

Retrieval-Augmented Generation (RAG) systems are increasingly diverse, yet many suffer from monolithic designs that tightly couple core functions like query reformulation, retrieval, reasoning, and verification. This limits their interpretability, systematic evaluation, and targeted improvement, especially …