Search Results for author: Diyi Liu

Found 6 papers, 2 papers with code

HateDay: Insights from a Global Hate Speech Dataset Representative of a Day on Twitter

no code implementations23 Nov 2024 Manuel Tonneau, Diyi Liu, Niyati Malhotra, Scott A. Hale, Samuel P. Fraiberger, Victor Orozco-Olvera, Paul Röttger

To address this issue, we introduce HateDay, the first global hate speech dataset representative of social media settings, randomly sampled from all tweets posted on September 21, 2022 for eight languages and four English-speaking countries.

From Languages to Geographies: Towards Evaluating Cultural Bias in Hate Speech Datasets

1 code implementation27 Apr 2024 Manuel Tonneau, Diyi Liu, Samuel Fraiberger, Ralph Schroeder, Scott A. Hale, Paul Röttger

We find that HS datasets for these languages exhibit a strong geo-cultural bias, largely overrepresenting a handful of countries (e. g., US and UK for English) relative to their prominence in both the broader social media population and the general population speaking these languages.

Improving the accuracy of freight mode choice models: A case study using the 2017 CFS PUF data set and ensemble learning techniques

no code implementations1 Feb 2024 Diyi Liu, Hyeonsup Lim, Majbah Uddin, Yuandong Liu, Lee D. Han, Ho-Ling Hwang, Shih-Miao Chin

In this study, we used the 2017 Commodity Flow Survey Public Use File data set to explore building a high-performance freight mode choice model, considering three main improvements: (1) constructing local models for each separate commodity/industry category; (2) extracting useful geographical features, particularly the derived distance of each freight mode between origin/destination zones; and (3) applying additional ensemble learning methods such as stacking or voting to combine results from local and unified models for improved performance.

Ensemble Learning Survey

FPCC: Fast Point Cloud Clustering based Instance Segmentation for Industrial Bin-picking

1 code implementation29 Dec 2020 Yajun Xu, Shogo Arai, Diyi Liu, Fangzhou Lin, Kazuhiro Kosuge

Based on this task requirement, we propose a Fast Point Cloud Clustering (FPCC) for instance segmentation of bin-picking scene.

3D Instance Segmentation Clustering +2

Region Based Adversarial Synthesis of Facial Action Units

no code implementations23 Oct 2019 Zhilei Liu, Diyi Liu, Yunpeng Wu

Facial expression synthesis or editing has recently received increasing attention in the field of affective computing and facial expression modeling.

Generative Adversarial Network

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