Quan Z. Sheng

A Taxonomy and Survey of Cloud Resource Orchestration Techniques

2017 · ACM Computing Surveys

Cloud services and applications prove indispensable amid today’s modern utility-based computing. The cloud has displayed a disruptive and growing impact on everyday computing tasks. However, facilitating the orchestration of cloud resources to build such cloud …

Related or Duplicate

2018

Plenty of research attempts target the automatic duplicate detection in Community Question Answering (CQA) systems and frame the task as a supervised learning problem on the question pairs. However, these methods rely on handcrafted features, …

Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey

2019 · arXiv (Cornell University)

With the development of high computational devices, deep neural networks (DNNs), in recent years, have gained significant popularity in many Artificial Intelligence (AI) applications. However, previous efforts have shown that DNNs were vulnerable to strategically …

Privacy-Enhancing Technologies in Federated Learning for the Internet of Healthcare Things: A Survey

2023 · arXiv (Cornell University)

Advancements in wearable medical devices in IoT technology are shaping the modern healthcare system. With the emergence of the Internet of Healthcare Things (IoHT), we are witnessing how efficient healthcare services are provided to patients …

Hybrid Data Augmentation for Citation Function Classification

2023

The citation function generally signifies the purpose or reason underlying a citation within a scholarly paper or a research article. Automatic citation function classification is, therefore, a task in computational linguistics and information science that …

ExClique: An Express Consensus Algorithm for High-Speed Transaction Process in Blockchains

2025 · arXiv (Cornell University)

Proof of Authority (PoA) plays a pivotal role in blockchains for reaching consensus. Clique, which selects consensus nodes to generate blocks with a pre-determined order, is the most popular implementation of PoA due to its …

DIAA: A Decoding-Efficient Inference Acceleration Approach for On-Device Large Language Models

2026 · Proceedings of the AAAI Conference on Artificial Intelligence

Large Language Models (LLMs) have revolutionized intelligent interactions, enabling mobile applications such as personal assistants on edge devices for local execution. Speculative decoding (SD) has emerged as a promising paradigm to accelerate LLM inference without …

Sequential Recommender Systems: Challenges, Progress and Prospects

2019 · UTS ePRESS (University of Technology Sydney)

The emerging topic of sequential recommender systems (SRSs) has attracted increasing attention in recent years. Different from the conventional recommender systems (RSs) including collaborative filtering and content-based filtering, SRSs try to understand and model the …

A Survey on Session-based Recommender Systems

2021 · ACM Computing Surveys

Recommender systems (RSs) have been playing an increasingly important role for informed consumption, services, and decision-making in the overloaded information era and digitized economy. In recent years, session-based recommender systems (SBRSs) have emerged as a …