Search Results for author: Yang Zhong

Found 21 papers, 11 papers with code

WIKIBIAS: Detecting Multi-Span Subjective Biases in Language

1 code implementation Findings (EMNLP) 2021 Yang Zhong, Jingfeng Yang, Wei Xu, Diyi Yang

Biases continue to be prevalent in modern text and media, especially subjective bias – a special type of bias that introduces improper attitudes or presents a statement with the presupposition of truth.


ReflectSumm: A Benchmark for Course Reflection Summarization

1 code implementation27 Mar 2024 Yang Zhong, Mohamed Elaraby, Diane Litman, Ahmed Ashraf Butt, Muhsin Menekse

This paper introduces ReflectSumm, a novel summarization dataset specifically designed for summarizing students' reflective writing.

Opinion Summarization

Universal Machine Learning Kohn-Sham Hamiltonian for Materials

1 code implementation14 Feb 2024 Yang Zhong, Hongyu Yu, Jihui Yang, Xingyu Guo, Hongjun Xiang, Xingao Gong

By offering a reliable efficient framework for computing electronic properties, this universal Hamiltonian model lays the groundwork for advancements in diverse fields, such as easily providing a huge data set of electronic structures and also making the materials design across the whole periodic table possible.

Image Classifier Based Generative Method for Planar Antenna Design

no code implementations16 Dec 2023 Yang Zhong, Weiping Dou, Andrew Cohen, Dia'a Bisharat, Yuandong Tian, Jiang Zhu, Qing Huo Liu

To extend the antenna design on printed circuit boards (PCBs) for more engineers of interest, we propose a simple method that models PCB antennas with a few basic components.

Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining

1 code implementation15 Oct 2023 Zhexiong Liu, Mohamed Elaraby, Yang Zhong, Diane Litman

This paper presents an overview of the ImageArg shared task, the first multimodal Argument Mining shared task co-located with the 10th Workshop on Argument Mining at EMNLP 2023.

Argument Mining Classification +2

STRONG -- Structure Controllable Legal Opinion Summary Generation

1 code implementation29 Sep 2023 Yang Zhong, Diane Litman

We propose an approach for the structure controllable summarization of long legal opinions that considers the argument structure of the document.

Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary Reranking

1 code implementation1 Jun 2023 Mohamed Elaraby, Yang Zhong, Diane Litman

We propose a simple approach for the abstractive summarization of long legal opinions that considers the argument structure of the document.

Abstractive Text Summarization

General time-reversal equivariant neural network potential for magnetic materials

1 code implementation21 Nov 2022 Hongyu Yu, Boyu Liu, Yang Zhong, Liangliang Hong, Junyi Ji, Changsong Xu, Xingao Gong, Hongjun Xiang

This study introduces time-reversal E(3)-equivariant neural network and SpinGNN++ framework for constructing a comprehensive interatomic potential for magnetic systems, encompassing spin-orbit coupling and noncollinear magnetic moments.

Computing and Exploiting Document Structure to Improve Unsupervised Extractive Summarization of Legal Case Decisions

1 code implementation6 Nov 2022 Yang Zhong, Diane Litman

Though many algorithms can be used to automatically summarize legal case decisions, most fail to incorporate domain knowledge about how important sentences in a legal decision relate to a representation of its document structure.

Extractive Summarization Unsupervised Extractive Summarization

Transferable E(3) equivariant parameterization for Hamiltonian of molecules and solids

no code implementations28 Oct 2022 Yang Zhong, Hongyu Yu, Mao Su, Xingao Gong, Hongjun Xiang

Using the message-passing mechanism in machine learning (ML) instead of self-consistent iterations to directly build the mapping from structures to electronic Hamiltonian matrices will greatly improve the efficiency of density functional theory (DFT) calculations.

Modeling Intensification for Sign Language Generation: A Computational Approach

1 code implementation Findings (ACL) 2022 Mert İnan, Yang Zhong, Sabit Hassan, Lorna Quandt, Malihe Alikhani

To employ our strategies, we first annotate a subset of the benchmark PHOENIX-14T, a German Sign Language dataset, with different levels of intensification.

Text Generation

Spin-Dependent Graph Neural Network Potential for Magnetic Materials

1 code implementation6 Mar 2022 Hongyu Yu, Yang Zhong, Liangliang Hong, Changsong Xu, Wei Ren, Xingao Gong, Hongjun Xiang

The development of machine learning interatomic potentials has immensely contributed to the accuracy of simulations of molecules and crystals.

A Machine Learning Generative Method for Automating Antenna Design and Optimization

no code implementations28 Feb 2022 Yang Zhong, Peter Renner, Weiping Dou, Geng Ye, Jiang Zhu, Qing Huo Liu

For a dual resonance antenna design with wide bandwidth, our proposed method is in par with Trust Region Framework and much better than the other mature machine learning algorithms including the widely used Genetic Algorithm and Particle Swarm Optimization.

BIG-bench Machine Learning

Edge-based Tensor prediction via graph neural networks

no code implementations15 Jan 2022 Yang Zhong, Hongyu Yu, Xingao Gong, Hongjun Xiang

Message-passing neural networks (MPNN) have shown extremely high efficiency and accuracy in predicting the physical properties of molecules and crystals, and are expected to become the next-generation material simulation tool after the density functional theory (DFT).

Band Gap Formation Energy

Neural CRF Model for Sentence Alignment in Text Simplification

1 code implementation ACL 2020 Chao Jiang, Mounica Maddela, Wuwei Lan, Yang Zhong, Wei Xu

The success of a text simplification system heavily depends on the quality and quantity of complex-simple sentence pairs in the training corpus, which are extracted by aligning sentences between parallel articles.

Semantic Similarity Semantic Textual Similarity +2

Discourse Level Factors for Sentence Deletion in Text Simplification

no code implementations23 Nov 2019 Yang Zhong, Chao Jiang, Wei Xu, Junyi Jessy Li

We inspect various document and discourse factors associated with sentence deletion, using a new manually annotated sentence alignment corpus we collected.

Sentence Text Simplification

Regularizing CNN Transfer Learning with Randomised Regression

no code implementations CVPR 2020 Yang Zhong, Atsuto Maki

That is, a CNN is efficiently regularized without additional resources of data or prior domain expertise.

regression Transfer Learning

Target Aware Network Adaptation for Efficient Representation Learning

no code implementations2 Oct 2018 Yang Zhong, Vladimir Li, Ryuzo Okada, Atsuto Maki

This paper presents an automatic network adaptation method that finds a ConvNet structure well-suited to a given target task, e. g., image classification, for efficiency as well as accuracy in transfer learning.

Image Classification Representation Learning +1

Face Attribute Prediction Using Off-the-Shelf CNN Features

no code implementations12 Feb 2016 Yang Zhong, Josephine Sullivan, Hai-Bo Li

Predicting attributes from face images in the wild is a challenging computer vision problem.

Attribute Face Recognition +1

Leveraging Mid-Level Deep Representations For Predicting Face Attributes in the Wild

no code implementations4 Feb 2016 Yang Zhong, Josephine Sullivan, Hai-Bo Li

Predicting facial attributes from faces in the wild is very challenging due to pose and lighting variations in the real world.

Attribute Face Recognition +1

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