Hao Yang

Analysis of Daily Global Solar Radiation Data for Wuhan

2016 · MATEC Web of Conferences

In order to improve knowledge on solar resources, this paper analyses the models correlating daily global solar radiation with sunshine duration for Wuhan, China. Estimated values were compared with measured values in terms of statistical …

Privacy-Preserving POI Recommendation Using Nonnegative Matrix Factorization

2018

Location based social networks (LBSNs) have become an essential part of life for many smartphone users. With the sheer volume of new information in LBSNs produced every day, people can easily feel overwhelmed when deciding …

Research on Modeling of Aircraft-Level High-lift System Architecture Based on SysML

2021 · Journal of Physics Conference Series

Abstract The aircraft-level high-lift system architecture of civil aircraft includes functional architecture, logical architecture and physical architecture. The system architecture describes the hierarchical relationship, cross-linking relationship and information interaction between the function, logic and physics …

Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models

2024 · arXiv (Cornell University)

The problem of pre-training data detection for large language models (LLMs) has received growing attention due to its implications in critical issues like copyright violation and test data contamination. Despite improved performance, existing methods (including …

A Games-in-Games Framework for Task Allocation, Path Planning, and Formation Control

2024 · IEEE Transactions on Control of Network Systems

This article proposes a game-theoretic framework for dealing with the integration design problem of task allocation, path planning, and formation control for multiagent systems. In this framework, an anonymous hedonic game (AHG) is established for …

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge

2025 · arXiv (Cornell University)

LLMs have emerged as powerful evaluators in the LLM-as-a-Judge paradigm, offering significant efficiency and flexibility compared to human judgments. However, previous methods primarily rely on single-point evaluations, overlooking the inherent diversity and uncertainty in human …

Interpretable Convolutional Neural Networks with Dual Local and Global Attention for Review Rating Prediction

2017

Recently, many e-commerce websites have encouraged their users to rate shopping items and write review texts. This review information has been very useful for understanding user preferences and item properties, as well as enhancing the …