Tao Feng

A Multi-Layer K-means Approach for Multi-Sensor Data Pattern Recognition in Multi-Target Localization

2017 · arXiv (Cornell University)

Data-target association is an important step in multi-target localization for the intelligent operation of un- manned systems in numerous applications such as search and rescue, traffic management and surveillance. The objective of this paper is …

Some new results on permutation polynomials over finite fields

2015 · arXiv (Cornell University)

Permutation polynomials over finite fields constitute an active research area and have applications in many areas of science and engineering. In this paper, four classes of monomial complete permutation polynomials and one class of trinomial …

Blockchain Data Privacy Protection and Sharing Scheme Based on Zero‐Knowledge Proof

2022 · Wireless Communications and Mobile Computing

The data generated in the Industrial Internet of Things (IIoT) has important research value. In the process of data sharing, data privacy, security, and data availability are important issues that cannot be ignored. This paper …

RENOVI: A Benchmark Towards Remediating Norm Violations in Socio-Cultural Conversations

2024 · arXiv (Cornell University)

Norm violations occur when individuals fail to conform to culturally accepted behaviors, which may lead to potential conflicts. Remediating norm violations requires social awareness and cultural sensitivity of the nuances at play. To equip interactive …

IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models

2024 · arXiv (Cornell University)

Machine learning models have made incredible progress, but they still struggle when applied to examples from unseen domains. This study focuses on a specific problem of domain generalization, where a model is trained on one …

Learning in Order! A Sequential Strategy to Learn Invariant Features for Multimodal Sentiment Analysis

2024 · arXiv (Cornell University)

This work proposes a novel and simple sequential learning strategy to train models on videos and texts for multimodal sentiment analysis. To estimate sentiment polarities on unseen out-of-distribution data, we introduce a multimodal model that …

Foundation Pit Support Deformation Prediction Based on Deep Echo State Network Optimized by Empirical Balance Particle Swarm Optimization

2024

The deformation of foundation pit excavation is influenced by various factors, exhibiting high nonlinearity and instability. To achieve more accurate prediction of foundation pit deformation, the Variational Mode Decomposition (VMD) algorithm is introduced to perform …