Hao Jiang

A New Algorithm for Mining Frequent Itemsets Based on Fp-Search Algorithm with K Road Pruning

2016

Association rule mining is an important approach in data mining. Based on analyzing many previous algorithms such as Apriori, Fp-growth, Eclat and Fp-search, we propose a new algorithm named FPNMP-search to mine frequent itemsets. With …

IP geolocation estimation using neural networks with stable landmarks

2016

The ability to accurately determine the geographic location of an arbitrary IP address has potential in many applications. Previous methods based on observing the relationship between network delay and physical distance are inaccurate. Methods based …

Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms

2019 · Proceedings of the AAAI Conference on Artificial Intelligence

In this paper, we revisit the convergence of the Heavy-ball method, and present improved convergence complexity results in the convex setting. We provide the first non-ergodic O(1/k) rate result of the Heavy-ball algorithm with constant …

Research on Parallelization of Frequent Itemsets Mining Algorithm

2021

FP-growth is a depth-first mining algorithm based on recursion and pattern growth. However, recursive mode can easily bring huge cost of time and space. Therefore, this paper proposes an improved non-recursive serial algorithm NRFP-growth and …

Communication-Efficient Federated Edge Learning for NR-U-Based IIoT Networks

2021 · IEEE Internet of Things Journal

As a key infrastructural technology, Industrial Internet of Things (IIoT) and its related techniques have emerged in the age of Industrial Internet. Among them, an increasing popular and attractive federated edge learning (FEL) mechanism, which …

Towards Adaptive Behavior Trees for Robot Task Planning

2022

Behavior Tree, known as modular and reactive, is widely used in industry and research. Its variant, the Reactive Behavior Tree (RBT), can effectively resolve the unpredictable environments through dynamic expansion based on actions and predicates. …

MNN4Rec: A relation-aware approach based on multi-view news network for news recommendation

2023 · Journal of Information Science

Personalised news recommendation comprises two crucial components: news understanding and user modelling. Previous studies have attempted to model news understanding and user interests using various internal news information and external knowledge graphs (KG). However, they …

Think-then-Act: A Dual-Angle Evaluated Retrieval-Augmented Generation

2024 · arXiv (Cornell University)

Despite their impressive capabilities, large language models (LLMs) often face challenges such as temporal misalignment and generating hallucinatory content. Enhancing LLMs with retrieval mechanisms to fetch relevant information from external sources offers a promising solution. …

An Efficient Federated Automatic Modulation Recognition Scheme With Adaptive Model Pruning

2025 · IEEE Sensors Journal

The Internet access of edge sensors is greatly bolstered by the rapid evolution of information technology, thereby facilitating the proliferation of various communication devices and underscoring the need for efficient data transmission. Automatic modulation recognition …

Hierarchical reinforcement learning based on macro actions

2025 · Complex & Intelligent Systems

The large action space is a key challenge in reinforcement learning. Although hierarchical methods have been proven to be effective in addressing this issue, they are not fully explored. This paper combines domain knowledge with …