Search Results for author: Jin Chen

Found 21 papers, 7 papers with code

基于抽象语义表示的汉语疑问句的标注与分析(Chinese Interrogative Sentences Annotation and Analysis Based on the Abstract Meaning Representation)

no code implementations CCL 2020 Peiyi Yan, Bin Li, Tong Huang, Kairui Huo, Jin Chen, Weiguang Qu

疑问句的句法语义分析在搜索引擎、信息抽取和问答系统等领域有着广泛的应用。计算语言学多采取问句分类和句法分析相结合的方式来处理疑问句, 精度和效率还不理想。而疑问句的语言学研究成果丰富, 比如疑问句的结构类型、疑问焦点和疑问代词的非疑问用法等, 但缺乏系统的形式化表示。本文致力于解决这一难题, 采用基于图结构的汉语句子语义的整体表示方法—中文抽象语义表示(CAMR)来标注疑问句的语义结构, 将疑问焦点和整句语义一体化表示出来。然后选取了宾州中文树库CTB8. 0网络媒体语料、小学语文教材以及《小王子》中文译本的2万句语料中共计2071句疑问句, 统计了疑问句的主要特点。统计表明, 各种疑问代词都可以通过疑问概念amr-unknown和语义关系的组合来表示, 能够完整地表示出疑问句的关键信息、疑问焦点和语义结构。最后, 根据疑问代词所关联的语义关系, 统计了疑问焦点的概率分布, 其中原因、修饰语和受事的占比最高, 分别占26. 53%、16. 73%以及16. 44%。基于抽象语义表示的疑问句标注与分析可以为汉语疑问句研究提供基础理论与资源。

Cross-Vendor CT Image Data Harmonization Using CVH-CT

no code implementations19 Oct 2021 Md Selim, Jie Zhang, Baowei Fei, Guo-Qiang Zhang, Gary Yeeming Ge, Jin Chen

We propose a novel deep learning approach called CVH-CT for harmonizing CT images captured using scanners from different vendors.

Computed Tomography (CT)

Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering

no code implementations13 Sep 2021 Jin Chen, Binbin Jin, Xu Huang, Defu Lian, Kai Zheng, Enhong Chen

Variational AutoEncoder (VAE) has been extended as a representative nonlinear method for collaborative filtering.

Collaborative Filtering

CT Image Harmonization for Enhancing Radiomics Studies

no code implementations3 Jul 2021 Md Selim, Jie Zhang, Baowei Fei, Guo-Qiang Zhang, Jin Chen

While remarkable advances have been made in Computed Tomography (CT), capturing CT images with non-standardized protocols causes low reproducibility regarding radiomic features, forming a barrier on CT image analysis in a large scale.

Computed Tomography (CT)

Predicting Opioid Use Disorder from Longitudinal Healthcare Data using Multi-stream Transformer

no code implementations16 Mar 2021 Sajjad Fouladvand, Jeffery Talbert, Linda P. Dwoskin, Heather Bush, Amy Lynn Meadows, Lars E. Peterson, Ramakanth Kavuluru, Jin Chen

Opioid Use Disorder (OUD) is a public health crisis costing the US billions of dollars annually in healthcare, lost workplace productivity, and crime.

Fibre-base duality of 5d KK theories

no code implementations10 Mar 2021 Andreas P. Braun, Jin Chen, Babak Haghighat, Marcus Sperling, Shuhang Yang

We study circle compactifications of 6d superconformal field theories giving rise to 5d rank 1 and rank 2 Kaluza-Klein theories.

High Energy Physics - Theory

FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery

no code implementations9 Mar 2021 Xian Sun, Peijin Wang, Zhiyuan Yan, Feng Xu, Ruiping Wang, Wenhui Diao, Jin Chen, Jihao Li, Yingchao Feng, Tao Xu, Martin Weinmann, Stefan Hinz, Cheng Wang, Kun fu

In this paper, we propose a novel benchmark dataset with more than 1 million instances and more than 15, 000 images for Fine-grAined object recognItion in high-Resolution remote sensing imagery which is named as FAIR1M.

Object Detection Object Recognition

Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure

1 code implementation2 Mar 2021 Jin Chen, Tiezheng Ge, Gangwei Jiang, Zhiqiang Zhang, Defu Lian, Kai Zheng

Based on the tree structure, Thompson sampling is adapted with dynamic programming, leading to efficient exploration for potential ad creatives with the largest CTR.

Efficient Exploration

Automated Creative Optimization for E-Commerce Advertising

1 code implementation28 Feb 2021 Jin Chen, Ju Xu, Gangwei Jiang, Tiezheng Ge, Zhiqiang Zhang, Defu Lian, Kai Zheng

However, interactions between creative elements may be more complex than the inner product, and the FM-estimated CTR may be of high variance due to limited feedback.

AutoML Click-Through Rate Prediction +1

ELMV: an Ensemble-Learning Approach for Analyzing Electrical Health Records with Significant Missing Values

no code implementations25 Jun 2020 Lucas J. Liu, Hongwei Zhang, Jianzhong Di, Jin Chen

We propose a novel Ensemble-Learning for Missing Value (ELMV) framework, which introduces an effective approach to construct multiple subsets of the original EHR data with a much lower missing rate, as well as mobilizing a dedicated support set for the ensemble learning in the purpose of reducing the bias caused by substantial missing values.

Ensemble Learning Imputation

STAN-CT: Standardizing CT Image using Generative Adversarial Network

1 code implementation2 Apr 2020 Md. Selim, Jie Zhang, Baowei Fei, Guo-Qiang Zhang, Jin Chen

Computed tomography (CT) plays an important role in lung malignancy diagnostics and therapy assessment and facilitating precision medicine delivery.

Computed Tomography (CT)

Dynamic Region-Aware Convolution

no code implementations CVPR 2021 Jin Chen, Xijun Wang, Zichao Guo, Xiangyu Zhang, Jian Sun

More gracefully, our DRConv transfers the increasing channel-wise filters to spatial dimension with learnable instructor, which not only improve representation ability of convolution, but also maintains computational cost and the translation-invariance as standard convolution dose.

Face Recognition General Classification +1

Adaptive Graph Convolutional Network with Attention Graph Clustering for Co-saliency Detection

1 code implementation CVPR 2020 Kaihua Zhang, Tengpeng Li, Shiwen Shen, Bo Liu, Jin Chen, Qingshan Liu

Second, we develop an attention graph clustering algorithm to discriminate the common objects from all the salient foreground objects in an unsupervised fashion.

Co-Salient Object Detection Graph Clustering

Video Saliency Prediction Using Enhanced Spatiotemporal Alignment Network

1 code implementation2 Jan 2020 Jin Chen, Huihui Song, Kaihua Zhang, Bo Liu, Qingshan Liu

Due to a variety of motions across different frames, it is highly challenging to learn an effective spatiotemporal representation for accurate video saliency prediction (VSP).

Saliency Prediction Video Saliency Prediction

Deep Object Co-segmentation via Spatial-Semantic Network Modulation

1 code implementation29 Nov 2019 Kaihua Zhang, Jin Chen, Bo Liu, Qingshan Liu

With the multi-resolution features of the relevant images as input, we design a spatial modulator to learn a mask for each image.

General Classification Image Classification

Erroneous data generation for Grammatical Error Correction

no code implementations WS 2019 Shuyao Xu, Jiehao Zhang, Jin Chen, Long Qin

It has been demonstrated that the utilization of a monolingual corpus in neural Grammatical Error Correction (GEC) systems can significantly improve the system performance.

Grammatical Error Correction

Domain Adversarial Reinforcement Learning for Partial Domain Adaptation

no code implementations10 May 2019 Jin Chen, Xinxiao wu, Lixin Duan, Shenghua Gao

In this more general and practical scenario, a major challenge is how to select source instances in the shared classes across different domains for positive transfer.

Partial Domain Adaptation Q-Learning +1

CLUF: a Neural Model for Second Language Acquisition Modeling

no code implementations WS 2018 Shuyao Xu, Jin Chen, Long Qin

Second Language Acquisition Modeling is the task to predict whether a second language learner would respond correctly in future exercises based on their learning history.

Knowledge Tracing Language Acquisition +5

Joint Multi-Leaf Segmentation, Alignment and Tracking from Fluorescence Plant Videos

1 code implementation2 May 2015 Xi Yin, Xiaoming Liu, Jin Chen, David M. Kramer

First, leaf segmentation and alignment are applied on the last frame of a plant video to find a number of well-aligned leaf candidates.

Frame

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