Jun Wu

K-Loop Free Assignment in Conference Review Systems

2018 · 2018 International Conference on Computing, Networking and Communications (ICNC)

Peer review is a common process for evaluating paper submissions and selecting high-quality papers at academic conferences. A significant task is assigning submissions to appropriate reviewers. Considering the constraints of reviewers, papers, and conflicts of …

Achieving Efficient and Secure Data Acquisition for Cloud-supported Internet of Things in Smart Grid

2018 · arXiv (Cornell University)

Cloud-supported Internet of Things (Cloud-IoT) has been broadly deployed in smart grid systems. The IoT front-ends are responsible for data acquisition and status supervision, while the substantial amount of data is stored and managed in …

Application of inter‐professional care model in patients with aneurysmal subarachnoid haemorrhage

2020 · Journal of Nursing Management

OBJECTIVE: To explore the feasibility and effect of the inter-professional care model in patients with aneurysmal subarachnoid haemorrhage. METHODS: A convenient sampling method was used to recruit inpatients of a hospital as subjects from July …

A robust reputation iterative algorithm based on Z-statistics in a rating system with thorny objects

2022 · Journal of the Operational Research Society

With the explosive growth of online alternative objects, the availability of a credible rating system could play a valuable role for users who are evaluating and/or choosing items. Due to the existence of spammers, many …

The challenge of healthcare big data to China’s commercial health insurance industry: evaluation and recommendations

2022 · BMC Health Services Research

BACKGROUND: China's social medical insurance system faces challenges in financing, product coverage, patient health responsibility sharing and data security, which commercial health insurance companies can help address. Confronting accelerated population aging, the rapid increase of …

Multicore Federated Learning for Mobile-Edge Computing Platforms

2022 · IEEE Internet of Things Journal

With increasingly strict data privacy regulations, federated learning (FL) has become one of the most often heard machine learning techniques due to its privacy-preserving trait. To efficiently implement the FL intelligence, researchers recently resort to …

AB-GRU: An attention-based bidirectional GRU model for multimodal sentiment fusion and analysis

2023 · Mathematical Biosciences & Engineering

Multimodal sentiment analysis is an important area of artificial intelligence. It integrates multiple modalities such as text, audio, video and image into a compact multimodal representation and obtains sentiment information from them. In this paper, …

Distributed Sequential Detection for Cooperative Spectrum Sensing in Cognitive Internet of Things

2023 · Preprints.org

Considering the spectrum shortage problem of IoT devices, we introduce a collaborative spectrum sensing (CSS) framework in this paper to identify available spectrum resources, so that IoT devices can access it and meanwhile avoid causing …

AndesVL Technical Report: An Efficient Mobile-side Multimodal Large Language Model

2025 · arXiv (Cornell University)

In recent years, while cloud-based MLLMs such as QwenVL, InternVL, GPT-4o, Gemini, and Claude Sonnet have demonstrated outstanding performance with enormous model sizes reaching hundreds of billions of parameters, they significantly surpass the limitations in …

The Role of Explainable AI (XAI) in Organizational Performance: An Empowerment Perspective

2026 · Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences

As explainable AI (XAI) becomes more prevalent in organizational decision-making, its impact on organizational performance remains underexplored and requires deeper investigation. This conceptual paper develops a theoretical model linking explainable AI (XAI) to organizational performance …