Search Results for author: Xiaodong Zhang

Found 22 papers, 7 papers with code

Original Content Is All You Need! an Empirical Study on Leveraging Answer Summary for WikiHowQA Answer Selection Task

no code implementations COLING 2022 Liang Wen, Juan Li, Houfeng Wang, Yingwei Luo, Xiaolin Wang, Xiaodong Zhang, Zhicong Cheng, Dawei Yin

And their experiments show that leveraging the answer summaries helps to attend the essential information in original lengthy answers and improve the answer selection performance under certain circumstances.

Answer Selection

GOVERN: Gradient Orientation Vote Ensemble for Multi-Teacher Reinforced Distillation

no code implementations6 May 2024 Wenjie Zhou, Zhenxin Ding, Xiaodong Zhang, Haibo Shi, Junfeng Wang, Dawei Yin

Pre-trained language models have become an integral component of question-answering systems, achieving remarkable performance.

Knowledge Distillation Question Answering

LMFNet: An Efficient Multimodal Fusion Approach for Semantic Segmentation in High-Resolution Remote Sensing

no code implementations21 Apr 2024 Tong Wang, Guanzhou Chen, Xiaodong Zhang, Chenxi Liu, Xiaoliang Tan, Jiaqi Wang, Chanjuan He, Wenlin Zhou

Addressing this gap, we propose a novel \textbf{L}ightweight \textbf{M}ultimodal data \textbf{F}usion \textbf{Net}work (LMFNet) to accomplish the tasks of fusion and semantic segmentation of multimodal remote sensing images.

Land Cover Classification Semantic Segmentation

LitSim: A Conflict-aware Policy for Long-term Interactive Traffic Simulation

no code implementations7 Mar 2024 Haojie Xin, Xiaodong Zhang, Renzhi Tang, Songyang Yan, Qianrui Zhao, Chunze Yang, Wen Cui, Zijiang Yang

Simulation is pivotal in evaluating the performance of autonomous driving systems due to the advantages of high efficiency and low cost compared to on-road testing.

Autonomous Driving

Semi-supervised Medical Image Segmentation Method Based on Cross-pseudo Labeling Leveraging Strong and Weak Data Augmentation Strategies

1 code implementation17 Feb 2024 Yifei Chen, Chenyan Zhang, Yifan Ke, Yiyu Huang, Xuezhou Dai, Feiwei Qin, Yongquan Zhang, Xiaodong Zhang, Changmiao Wang

Traditional supervised learning methods have historically encountered certain constraints in medical image segmentation due to the challenging collection process, high labeling cost, low signal-to-noise ratio, and complex features characterizing biomedical images.

Data Augmentation Image Segmentation +2

Indeterminate Probability Neural Network

1 code implementation21 Mar 2023 Tao Yang, Chuang Liu, Xiaofeng Ma, Weijia Lu, Ning Wu, Bingyang Li, Zhifei Yang, Peng Liu, Lin Sun, Xiaodong Zhang, Can Zhang

Besides, for our proposed neural network framework, the output of neural network is defined as probability events, and based on the statistical analysis of these events, the inference model for classification task is deduced.


Ferromagnetic metallic Sr-rich Ln$_{1/2}$A$_{1/2}$CoO$_3$ cobaltites with spontaneous spin rotation

no code implementations9 Mar 2021 Jessica Padilla-Pantoja, Arnau Romaguera, Xiaodong Zhang, Javier Herrero-Martín, Francois Fauth, Javier Blasco, José Luis García-Muñoz

We have studied half-doped Ln$_{0. 50}$(Sr$_{1-x}$A$_x$)$_{0. 50}$CoO$_3$ cobaltites varying the ionic radius rA of A-site cations (divalent cations and lanthanides) in order to complete the T-rA phase diagram.

Materials Science

First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction

no code implementations17 Feb 2021 Lianzhe Huang, Peiyi Wang, Sujian Li, Tianyu Liu, Xiaodong Zhang, Zhicong Cheng, Dawei Yin, Houfeng Wang

Aspect Sentiment Triplet Extraction (ASTE) aims to extract triplets from a sentence, including target entities, associated sentiment polarities, and opinion spans which rationalize the polarities.

Aspect Sentiment Triplet Extraction Sentence

Text Level Graph Neural Network for Text Classification

2 code implementations IJCNLP 2019 Lianzhe Huang, Dehong Ma, Sujian Li, Xiaodong Zhang, Houfeng Wang

Recently, researches have explored the graph neural network (GNN) techniques on text classification, since GNN does well in handling complex structures and preserving global information.

General Classification text-classification +1

Knee menisci segmentation and relaxometry of 3D ultrashort echo time (UTE) cones MR imaging using attention U-Net with transfer learning

no code implementations5 Aug 2019 Michal Byra, Mei Wu, Xiaodong Zhang, Hyungseok Jang, Ya-Jun Ma, Eric Y Chang, Sameer Shah, Jiang Du

Next, the T1, T1$\rho$, T2* relaxations, and ROI areas were determined for the manual and automatic segmentations, then compared. The models developed using ROIs provided by two radiologists achieved high Dice scores of 0. 860 and 0. 833, while the radiologists' manual segmentations achieved a Dice score of 0. 820.

Segmentation Transfer Learning

A Neural Question Answering Model Based on Semi-Structured Tables

no code implementations COLING 2018 Hao Wang, Xiaodong Zhang, Shuming Ma, Xu sun, Houfeng Wang, Mengxiang Wang

Then the system measures the relevance between each question and candidate table cells, and choose the most related cell as the source of answer.

Knowledge Graphs Multiple-choice +1

Interactive Attention Networks for Aspect-Level Sentiment Classification

5 code implementations4 Sep 2017 Dehong Ma, Sujian Li, Xiaodong Zhang, Houfeng Wang

In this paper, we argue that both targets and contexts deserve special treatment and need to be learned their own representations via interactive learning.

Aspect-Based Sentiment Analysis (ABSA) Classification +2

System Combination for Short Utterance Speaker Recognition

no code implementations31 Mar 2016 Lantian Li, Dong Wang, Xiaodong Zhang, Thomas Fang Zheng, Panshi Jin

This paper presents a combination approach to the SUSR tasks with two phonetic-aware systems: one is the DNN-based i-vector system and the other is our recently proposed subregion-based GMM-UBM system.

Speaker Recognition

Implicit Discourse Relation Classification via Multi-Task Neural Networks

no code implementations9 Mar 2016 Yang Liu, Sujian Li, Xiaodong Zhang, Zhifang Sui

Without discourse connectives, classifying implicit discourse relations is a challenging task and a bottleneck for building a practical discourse parser.

Classification General Classification +3

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