no code implementations • AACL (NLP-TEA) 2020 • Yikang Luo, Zuyi Bao, Chen Li, Rui Wang
For the correction subtask, we utilize the masked language model, the seq2seq model and the spelling check model to generate corrections based on the detection results.
2 code implementations • 23 Jun 2022 • Yue Zhang, Haochen Jiang, Zuyi Bao, Bo Zhang, Chen Li, Zhenghua Li
We have accumulated 1, 119 error templates for Chinese GEC based on this method.
1 code implementation • 7 Jun 2022 • Tingting Shen, Junhang Li, Can Tong, Qiang He, Chen Li, YuDong Yao, Yueyang Teng
Nonnegative matrix factorization (NMF) has been widely used to dimensionality reduction in machine learning.
no code implementations • 7 Jun 2022 • HaoYuan Chen, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek
In addition, we conducted an ablation experiment and an interchangeability experiment to verify the ability and interchangeability of the three channels.
no code implementations • 2 Jun 2022 • Wanli Liu, Chen Li, Ning Xu, Tao Jiang, Md Mamunur Rahaman, Hongzan Sun, Xiangchen Wu, Weiming Hu, HaoYuan Chen, Changhao Sun, YuDong Yao, Marcin Grzegorzek
Cervical cytopathology image classification is an important method to diagnose cervical cancer.
no code implementations • 30 May 2022 • Chen Li, Antonios Tsourdos, Weisi Guo
In this paper, we develop a bottom-level Transistor Operations (TOs) method to expose the role of activation functions and neural network structure in energy consumption scaling with DL model configuration.
no code implementations • 25 May 2022 • Weiming Hu, HaoYuan Chen, Wanli Liu, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek, Chen Li
Ensemble learning is a way to improve the accuracy of algorithms, and finding multiple learning models with complementarity types is the basis of ensemble learning.
no code implementations • 17 May 2022 • Haiqing Zhang, Chen Li, Shiliang Ai, HaoYuan Chen, Yuchao Zheng, Yixin Li, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek
The gold standard for gastric cancer detection is gastric histopathological image analysis, but there are certain drawbacks in the existing histopathological detection and diagnosis.
Histopathological Image Classification
Image Classification
+1
no code implementations • 16 May 2022 • Yuxin Dong, Tieliang Gong, Shujian Yu, Chen Li
The Matrix-based Renyi's entropy enables us to directly measure information quantities from given data without the costly probability density estimation of underlying distributions, thus has been widely adopted in numerous statistical learning and inference tasks.
1 code implementation • 23 Apr 2022 • Yue Zhang, Zhenghua Li, Zuyi Bao, Jiacheng Li, Bo Zhang, Chen Li, Fei Huang, Min Zhang
This paper presents MuCGEC, a multi-reference multi-source evaluation dataset for Chinese Grammatical Error Correction (CGEC), consisting of 7, 063 sentences collected from three Chinese-as-a-Second-Language (CSL) learner sources.
1 code implementation • 18 Apr 2022 • Junhang Li, Jiao Wei, Can Tong, Tingting Shen, Yuchen Liu, Chen Li, Shouliang Qi, YuDong Yao, Yueyang Teng
Traditional nonnegative matrix factorization (NMF) learns a new feature representation on the whole data space, which means treating all features equally.
no code implementations • 18 Apr 2022 • Shuojia Zou, Chen Li, Hongzan Sun, Peng Xu, Jiawei Zhang, Pingli Ma, YuDong Yao, Xinyu Huang, Marcin Grzegorzek
The detection of tiny objects in microscopic videos is a problematic point, especially in large-scale experiments.
no code implementations • 18 Apr 2022 • Yuchao Zheng, Chen Li, Xiaomin Zhou, HaoYuan Chen, Hao Xu, Yixin Li, Haiqing Zhang, Xiaoyan Li, Hongzan Sun, Xinyu Huang, Marcin Grzegorzek
Method: This paper proposes a deep ensemble model based on image-level labels for the binary classification of benign and malignant lesions of breast histopathological images.
no code implementations • 4 Apr 2022 • Jiawei Zhang, Ning Xu, Chen Li, Md Mamunur Rahaman, Yu-Dong Yao, Yu-Hao Lin, Jinghua Zhang, Tao Jiang, Wenjun Qin, Marcin Grzegorzek
Experimental result shows that the proposed PID-Net has the best performance and potential for dense tiny objects counting tasks, which achieves 96. 97% counting accuracy on the dataset with 2448 yeast cell images.
no code implementations • 27 Mar 2022 • Xingxuan Zhang, Zekai Xu, Renzhe Xu, Jiashuo Liu, Peng Cui, Weitao Wan, Chong Sun, Chen Li
Despite the striking performance achieved by modern detectors when training and test data are sampled from the same or similar distribution, the generalization ability of detectors under unknown distribution shifts remains hardly studied.
1 code implementation • ACL 2022 • Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Fei Liu
Summarization of podcast transcripts is of practical benefit to both content providers and consumers.
no code implementations • 18 Feb 2022 • Jiawei Zhang, Chen Li, Md Mamunur Rahaman, YuDong Yao, Pingli Ma, Jinghua Zhang, Xin Zhao, Tao Jiang, Marcin Grzegorzek
This study has high research significance and application value, which can be referred to microbial researchers to have a comprehensive understanding of microorganism biovolume measurements using digital image analysis methods and potential applications.
no code implementations • 17 Feb 2022 • Weiming Hu, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Yong Zhang, HaoYuan Chen, Wanli Liu, YuDong Yao, Hongzan Sun, Ning Xu, Xinyu Huang, Marcin Grzegorze
Traditional machine learning methods achieve maximum accuracy of 76. 02% and deep learning method achieves a maximum accuracy of 95. 37%.
no code implementations • 16 Feb 2022 • Wenwei Zhao, Pingli Ma, Chen Li, Xiaoning Bu, Shuojia Zou, Tao Jiang, Marcin Grzegorzek
The various works related to Computer Assisted Sperm Analysis methods in the last 30 years (since 1988) are comprehensively introduced and analysed in this survey.
no code implementations • 14 Feb 2022 • Jian Wu, Wanli Liu, Chen Li, Tao Jiang, Islam Mohammad Shariful, Hongzan Sun, Xiaoqi Li, Xintong Li, Xinyu Huang, Marcin Grzegorzek
Image analysis technology is used to solve the inadvertences of artificial traditional methods in disease, wastewater treatment, environmental change monitoring analysis and convolutional neural networks (CNN) play an important role in microscopic image analysis.
no code implementations • 21 Jan 2022 • Xiaoqi Li, HaoYuan Chen, Chen Li, Md Mamunur Rahaman, Xintong Li, Jian Wu, Xiaoyan Li, Hongzan Sun, Marcin Grzegorzek
In the past ten years, the computing power of machine vision (MV) has been continuously improved, and image analysis algorithms have developed rapidly.
no code implementations • 19 Jan 2022 • Joshua T. Vogelstein, Timothy Verstynen, Konrad P. Kording, Leyla Isik, John W. Krakauer, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Carey E. Priebe, Randal Burns, Kwame Kutten, James J. Knierim, James B. Potash, Thomas Hartung, Lena Smirnova, Paul Worley, Alena Savonenko, Ian Phillips, Michael I. Miller, Rene Vidal, Jeremias Sulam, Adam Charles, Noah J. Cowan, Maxim Bichuch, Archana Venkataraman, Chen Li, Nitish Thakor, Justus M Kebschull, Marilyn Albert, Jinchong Xu, Marshall Hussain Shuler, Brian Caffo, Tilak Ratnanather, Ali Geisa, Seung-Eon Roh, Eva Yezerets, Meghana Madhyastha, Javier J. How, Tyler M. Tomita, Jayanta Dey, Ningyuan, Huang, Jong M. Shin, Kaleab Alemayehu Kinfu, Pratik Chaudhari, Ben Baker, Anna Schapiro, Dinesh Jayaraman, Eric Eaton, Michael Platt, Lyle Ungar, Leila Wehbe, Adam Kepecs, Amy Christensen, Onyema Osuagwu, Bing Brunton, Brett Mensh, Alysson R. Muotri, Gabriel Silva, Francesca Puppo, Florian Engert, Elizabeth Hillman, Julia Brown, Chris White, Weiwei Yang
We call this 'retrospective learning'.
no code implementations • CVPR 2022 • Junyi Pan, Chong Sun, Yizhou Zhou, Ying Zhang, Chen Li
We first theoretically investigate how the weight coupling problem affects the network searching performance from a parameter distribution perspective, and then propose a novel supernet training strategy with a Distribution Consistent Constraint that can provide a good measurement for the extent to which two architectures can share weights.
1 code implementation • CVPR 2022 • Yidong Chen, Chen Li, Zhonghua Lu
In this paper, we propose a novel algorithm to compute the Wasserstein-p distance between discrete measures by restricting the optimal transport (OT) problem on a subset.
no code implementations • CVPR 2022 • Jingjing Ren, Qingqing Zheng, YuanYuan Zhao, Xuemiao Xu, Chen Li
Video inpainting remains a challenging problem to fill with plausible and coherent content in unknown areas in video frames despite the prevalence of data-driven methods.
no code implementations • 20 Dec 2021 • Chen Li, Matthew Dunlop, Georg Stadler
We consider Bayesian inverse problems wherein the unknown state is assumed to be a function with discontinuous structure a priori.
no code implementations • 14 Dec 2021 • Peng Zhao, Chen Li, Md Mamunur Rahaman, Hao Xu, Pingli Ma, Hechen Yang, Hongzan Sun, Tao Jiang, Ning Xu, Marcin Grzegorzek
Each type of EM contains 40 original and 40 GT images, in total 1680 EM images.
no code implementations • 12 Dec 2021 • Tieliang Gong, Yuxin Dong, Hong Chen, Bo Dong, Chen Li
Subsampling is an important technique to tackle the computational challenges brought by big data.
no code implementations • 9 Dec 2021 • Tielang Gong, Yuxin Dong, Hong Chen, Bo Dong, Wei Feng, Chen Li
Our results show that the Markov dependence impacts on the generalization error in the way that sample size would be discounted by a multiplicative factor depending on the spectral gap of underlying Markov chain.
no code implementations • 24 Nov 2021 • Jiangbo Shi, Chang Jia, Zeyu Gao, Tieliang Gong, Chunbao Wang, Chen Li
However, the development of such an automated method requires a large amount of data with precisely annotated masks which is hard to obtain.
1 code implementation • NeurIPS 2021 • Chen Li, Gim Hee Lee
Most existing animal pose and shape estimation approaches reconstruct animal meshes with a parametric SMAL model.
no code implementations • 9 Nov 2021 • Jialun Wu, Anyu Mao, Xinrui Bao, Haichuan Zhang, Zeyu Gao, Chunbao Wang, Tieliang Gong, Chen Li
However, there is still a lack of an open and universal digital pathology platform to assist doctors in the management and analysis of digital pathological sections, as well as the management and structured description of relevant patient information.
no code implementations • 26 Oct 2021 • Anyu Mao, Jialun Wu, Xinrui Bao, Zeyu Gao, Tieliang Gong, Chen Li
In order to take advantage of segmentation methods based on point annotation, further alleviate the manual workload, and make cancer diagnosis more efficient and accurate, it is necessary to develop an automatic nucleus detection algorithm, which can automatically and efficiently locate the position of the nucleus in the pathological image and extract valuable information for pathologists.
no code implementations • 26 Oct 2021 • Jialun Wu, Yang Liu, Zeyu Gao, Tieliang Gong, Chunbao Wang, Chen Li
To address this issue, we propose Biomedical Information Extraction, a hybrid neural network to extract relations from biomedical text and unstructured medical reports.
no code implementations • 26 Oct 2021 • Jialun Wu, Zeyu Gao, Haichuan Zhang, Ruonan Zhang, Tieliang Gong, Chunbao Wang, Chen Li
In this study, we propose a framework that combines pathological images and medical reports to generate a personalized diagnosis result for individual patient.
no code implementations • 26 Oct 2021 • Jialun Wu, Haichuan Zhang, Zeyu Gao, Xinrui Bao, Tieliang Gong, Chunbao Wang, Chen Li
Tumor region detection, subtype and grade classification are the fundamental diagnostic indicators for renal cell carcinoma (RCC) in whole-slide images (WSIs).
no code implementations • 22 Oct 2021 • Rupinder Paul Khandpur, Albert Aristotle Nanda, Mathew Davis, Chen Li, Daulet Nurmanbetov, Sankalp Gaur, Ashit Talukder
Adverse media or negative news screening is crucial for the identification of such non-financial risks.
no code implementations • EMNLP 2021 • Yue Zhang, Bo Zhang, Rui Wang, Junjie Cao, Chen Li, Zuyi Bao
Previous works on key information extraction from visually rich documents (VRDs) mainly focus on labeling the text within each bounding box (i. e., semantic entity), while the relations in-between are largely unexplored.
Ranked #1 on
Entity Linking
on FUNSD
no code implementations • 11 Oct 2021 • Hechen Yang, Chen Li, Xin Zhao, Bencheng Cai, Jiawei Zhang, Pingli Ma, Peng Zhao, Ao Chen, Hongzan Sun, Yueyang Teng, Shouliang Qi, Tao Jiang, Marcin Grzegorzek
The Environmental Microorganism Image Dataset Seventh Version (EMDS-7) is a microscopic image data set, including the original Environmental Microorganism images (EMs) and the corresponding object labeling files in ". XML" format file.
2 code implementations • 9 Oct 2021 • Jinghui Si, Xutan Peng, Chen Li, Haotian Xu, JianXin Li
Event Extraction bridges the gap between text and event signals.
no code implementations • 18 Aug 2021 • Chen Li, Schyler C. Sun, Zhuangkun Wei, Antonios Tsourdos, Weisi Guo
We believe that this approach of exploiting general data distribution knowledge form neural networks can be applied to a wide range of scarce data open challenges.
no code implementations • 3 Aug 2021 • Xiangrong Zhang, Zelin Peng, Peng Zhu, Tianyang Zhang, Chen Li, Huiyu Zhou, Licheng Jiao
Semantic segmentation has been continuously investigated in the last ten years, and majority of the established technologies are based on supervised models.
no code implementations • 1 Aug 2021 • Jinghua Zhang, Chen Li, Yimin Yin, Jiawei Zhang, Marcin Grzegorzek
Therefore, the automatic image analysis based on artificial neural networks is introduced to optimize it.
no code implementations • 25 Jul 2021 • Tianyang Zhang, Xiangrong Zhang, Peng Zhu, Xu Tang, Chen Li, Licheng Jiao, Huiyu Zhou
To address the above problems, we propose an end-to-end multi-category instance segmentation model, namely Semantic Attention and Scale Complementary Network, which mainly consists of a Semantic Attention (SEA) module and a Scale Complementary Mask Branch (SCMB).
no code implementations • 16 Jul 2021 • Peng Zhao, Chen Li, Md Mamunur Rahaman, Hao Xu, Hechen Yang, Hongzan Sun, Tao Jiang, Marcin Grzegorzek
In recent years, deep learning has made brilliant achievements in Environmental Microorganism (EM) image classification.
3 code implementations • SIGIR 2021 • Chen Li, Yuanfu Lu, Wei Wang
With the booming of online social networks in the mobile internet, an emerging recommendation scenario has played a vital role in information acquisition for user, where users are no longer recommended with a single item or item list, but a combination of heterogeneous and diverse objects (called a package, e. g., a package including news, publisher, and friends viewing the news).
1 code implementation • 23 Jun 2021 • Zeyu Gao, Bangyang Hong, Xianli Zhang, Yang Li, Chang Jia, Jialun Wu, Chunbao Wang, Deyu Meng, Chen Li
Histological subtype of papillary (p) renal cell carcinoma (RCC), type 1 vs. type 2, is an essential prognostic factor.
no code implementations • 23 Jun 2021 • Xin Luo, Wei Chen, Yusong Tan, Chen Li, Yulin He, Xiaogang Jia
It is desirable to transfer the knowledge stored in a well-trained source model onto non-annotated target domain in the absence of source data.
no code implementations • 22 Jun 2021 • Hechen Yang, Chen Li, Jinghua Zhang, Peng Zhao, Ao Chen, Xin Zhao, Tao Jiang, Marcin Grzegorzek
We conclude that ViT performs the worst in classifying 8 * 8 pixel patches, but it outperforms most convolutional neural networks in classifying 224 * 224 pixel patches.
1 code implementation • 20 Jun 2021 • Zeyu Gao, Jiangbo Shi, Xianli Zhang, Yang Li, Haichuan Zhang, Jialun Wu, Chunbao Wang, Deyu Meng, Chen Li
In this paper, we propose a Composite High-Resolution Network for ccRCC nuclei grading.
no code implementations • 18 Jun 2021 • Chen Li, JinZhe Jiang, Xin Zhang, Tonghuan Zhang, YaQian Zhao, Dongdong Jiang, RenGang Li
Interpreting how does deep neural networks (DNNs) make predictions is a vital field in artificial intelligence, which hinders wide applications of DNNs.
1 code implementation • 4 Jun 2021 • Weiming Hu, Chen Li, Xiaoyan Li, Md Mamunur Rahaman, Jiquan Ma, Yong Zhang, HaoYuan Chen, Wanli Liu, Changhao Sun, YuDong Yao, Hongzan Sun, Marcin Grzegorzek
In order to prove that the methods of different periods in the field of image classification have discrepancies on GasHisSDB, we select a variety of classifiers for evaluation.
no code implementations • 3 Jun 2021 • Ao Chen, Chen Li, HaoYuan Chen, Hechen Yang, Peng Zhao, Weiming Hu, Wanli Liu, Shuojia Zou, Marcin Grzegorzek
In this paper, we first briefly review the development of Convolutional Neural Network and Visual Transformer in deep learning, and introduce the sources and development of conventional noises and adversarial attacks.
no code implementations • 16 May 2021 • Wanli Liu, Chen Li, Md Mamunur Rahamana, Tao Jiang, Hongzan Sun, Xiangchen Wu, Weiming Hu, HaoYuan Chen, Changhao Sun, YuDong Yao, Marcin Grzegorzek
The results of the study indicate that deep learning models are robust to changes in the aspect ratio of cells in cervical cytopathological images.
no code implementations • 7 May 2021 • Pingli Ma, Chen Li, Md Mamunur Rahaman, YuDong Yao, Jiawei Zhang, Shuojia Zou, Xin Zhao, Marcin Grzegorzek
In this review, first, we analyse the existing microorganism detection methods in chronological order, from traditional image processing and traditional machine learning to deep learning methods.
no code implementations • 29 Apr 2021 • HaoYuan Chen, Chen Li, Ge Wang, Xiaoyan Li, Md Rahaman, Hongzan Sun, Weiming Hu, Yixin Li, Wanli Liu, Changhao Sun, Shiliang Ai, Marcin Grzegorzek
In this paper, a multi-scale visual transformer model, referred as GasHis-Transformer, is proposed for Gastric Histopathological Image Detection (GHID), which enables the automatic global detection of gastric cancer images.
1 code implementation • 26 Apr 2021 • Wei Zeng, Xiaozhe Ren, Teng Su, Hui Wang, Yi Liao, Zhiwei Wang, Xin Jiang, ZhenZhang Yang, Kaisheng Wang, Xiaoda Zhang, Chen Li, Ziyan Gong, Yifan Yao, Xinjing Huang, Jun Wang, Jianfeng Yu, Qi Guo, Yue Yu, Yan Zhang, Jin Wang, Hengtao Tao, Dasen Yan, Zexuan Yi, Fang Peng, Fangqing Jiang, Han Zhang, Lingfeng Deng, Yehong Zhang, Zhe Lin, Chao Zhang, Shaojie Zhang, Mingyue Guo, Shanzhi Gu, Gaojun Fan, YaoWei Wang, Xuefeng Jin, Qun Liu, Yonghong Tian
To enhance the generalization ability of PanGu-$\alpha$, we collect 1. 1TB high-quality Chinese data from a wide range of domains to pretrain the model.
Ranked #1 on
Reading Comprehension (Zero-Shot)
on CMRC 2018
Cloze (multi-choices) (Few-Shot)
Cloze (multi-choices) (One-Shot)
+20
no code implementations • 13 Apr 2021 • Xintong Li, Weiming Hu, Chen Li, Tao Jiang, Hongzan Sun, Xiaoyan Li, Xinyu Huang, Marcin Grzegorzek
Finally, the application prospect of the analytical method in this field is discussed.
1 code implementation • CVPR 2021 • Chen Li, Gim Hee Lee
Existing works circumvent this problem with pseudo labels generated from data of other easily accessible domains such as synthetic data.
no code implementations • 25 Mar 2021 • Jiawei Zhang, Chen Li, Md Mamunur Rahaman, YuDong Yao, Pingli Ma, Jinghua Zhang, Xin Zhao, Tao Jiang, Marcin Grzegorzek
In this article, we have studied the development of microorganism counting methods using digital image analysis.
no code implementations • 3 Mar 2021 • Xiaoyang Wang, Chen Li, Jianqiao Zhao, Dong Yu
To facilitate the research on this corpus, we provide results of several benchmark models.
no code implementations • 26 Feb 2021 • Chen Li, JinZhe Jiang, YaQian Zhao, RenGang Li, EnDong Wang, Xin Zhang, Kun Zhao
Decision of transfer layers and trainable layers is a major task for design of the transfer convolutional neural networks (CNN).
no code implementations • 24 Feb 2021 • Frank Kulwa, Chen Li, Jinghua Zhang, Kimiaki Shirahama, Sergey Kosov, Xin Zhao, Hongzan Sun, Tao Jiang, Marcin Grzegorzek
In order to fasten, low the cost, increase consistency and accuracy of identification, we propose the novel pairwise deep learning features to analyze microorganisms.
no code implementations • 24 Feb 2021 • Md Mamunur Rahaman, Chen Li, YuDong Yao, Frank Kulwa, Xiangchen Wu, Xiaoyan Li, Qian Wang
Pap smear test is a widely performed screening technique for early detection of cervical cancer, whereas this manual screening method suffers from high false-positive results because of human errors.
no code implementations • 21 Feb 2021 • Chen Li, Xintong Li, Md Rahaman, Xiaoyan Li, Hongzan Sun, Hong Zhang, Yong Zhang, Xiaoqi Li, Jian Wu, YuDong Yao, Marcin Grzegorzek
This paper reviews the methods of WSI analysis based on machine learning.
no code implementations • 21 Feb 2021 • Yixin Li, Xinran Wu, Chen Li, Changhao Sun, Md Rahaman, HaoYuan Chen, YuDong Yao, Xiaoyan Li, Yong Zhang, Tao Jiang
The HCRF-AM model consists of an Attention Mechanism (AM) module and an Image Classification (IC) module.
no code implementations • 20 Feb 2021 • Zihan Li, Chen Li, YuDong Yao, Jinghua Zhang, Md Mamunur Rahaman, Hao Xu, Frank Kulwa, Bolin Lu, Xuemin Zhu, Tao Jiang
EMDS-5 can realize to evaluate image preprocessing, image segmentation, feature extraction, image classification and image retrieval functions.
no code implementations • 14 Jan 2021 • Tongyu Zong, Chen Li, Yuanyuan Lei, Guangyu Li, Houwei Cao, Yong liu
In this paper, we propose Cocktail Edge Caching, that tackles the dynamic popularity and heterogeneity through ensemble learning.
no code implementations • 1 Jan 2021 • Feng Shi, Chen Li, Shijie Bian, Yiqiao Jin, Ziheng Xu, Tian Han, Song-Chun Zhu
The Propositional Satisfiability Problem (SAT), and more generally, the Constraint Satisfaction Problem (CSP), are mathematical questions defined as finding an assignment to a set of objects that satisfies a series of constraints.
1 code implementation • Asian Chapter of the Association for Computational Linguistics 2020 • Kuan-Hao Huang, Chen Li, Kai-Wei Chang
To deeply study this task, we present SportsSum, a Chinese sports game summarization dataset which contains 5, 428 soccer games of live commentaries and the corresponding news articles.
no code implementations • 9 Nov 2020 • Kaiqiang Song, Chen Li, Xiaoyang Wang, Dong Yu, Fei Liu
Instead, we investigate several less-studied aspects of neural abstractive summarization, including (i) the importance of selecting important segments from transcripts to serve as input to the summarizer; (ii) striking a balance between the amount and quality of training instances; (iii) the appropriate summary length and start/end points.
no code implementations • 5 Nov 2020 • Chen Li, Guobao Zhang, Mariano Méndez, Jiancheng Wang, Ming Lyu
This indicates that the double-peaked structure in the light curve of the bursts may be affected by enhanced accretion rate in the disc, or increased temperature of the neutron star.
High Energy Astrophysical Phenomena
no code implementations • Findings of the Association for Computational Linguistics 2020 • Zuyi Bao, Chen Li, Rui Wang
Chinese spelling check is a challenging task due to the characteristics of the Chinese language, such as the large character set, no word boundary, and short word length.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Youzhi Tian, Weiyan Shi, Chen Li, Zhou Yu
Furthermore, we analyze the relationships between persuasion strategies and persuasion resistance strategies.
1 code implementation • EMNLP 2020 • Sangwoo Cho, Kaiqiang Song, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu
Amongst the best means to summarize is highlighting.
no code implementations • 29 Sep 2020 • Yixin Li, Chen Li, Xiaoyan Li, Kai Wang, Md Mamunur Rahaman, Changhao Sun, Hao Chen, Xinran Wu, Hong Zhang, Qian Wang
In this review, we present a comprehensive overview of pathology image analysis based on the markov random fields (MRFs) and conditional random fields (CRFs), which are two popular random field models.
1 code implementation • 13 Aug 2020 • Chen Li, Gim Hee Lee
In this paper, we propose a weakly supervised deep generative network to address the inverse problem and circumvent the need for ground truth 2D-to-3D correspondences.
1 code implementation • 12 Aug 2020 • Zeyu Gao, Pargorn Puttapirat, Jiangbo Shi, Chen Li
Semi-supervised learning (SSL) is an effective way to utilize unlabeled data and alleviate the need for labeled data.
1 code implementation • ACL 2020 • Linmei Hu, Siyong Xu, Chen Li, Cheng Yang, Chuan Shi, Nan Duan, Xing Xie, Ming Zhou
Furthermore, the learned representations are disentangled with latent preference factors by a neighborhood routing algorithm, which can enhance expressiveness and interpretability.
no code implementations • 10 Jun 2020 • Schyler C. Sun, Chen Li, Zhuangkun Wei, Antonios Tsourdos, Weisi Guo
In this paper, we achieve partially explainable learning model by symbolically explaining the role of activation functions (AF) under a scalable topology.
1 code implementation • 10 Jun 2020 • Chen Li, Xutan Peng, Hao Peng, Jian-Xin Li, Lihong Wang, Philip S. Yu, Lifang He
Recently, graph-based algorithms have drawn much attention because of their impressive success in semi-supervised setups.
no code implementations • 2 Jun 2020 • JinZhe Jiang, Xin Zhang, Chen Li, YaQian Zhao, RenGang Li
In this model, we mapped the feature data to a quantum state in Hilbert space firstly, and then implement unitary evolution on it, in the end, we can get the classification result by im-plement measurement on the quantum state.
no code implementations • 19 May 2020 • Shijun Wang, Baocheng Zhu, Chen Li, Mingzhe Wu, James Zhang, Wei Chu, Yuan Qi
In this paper, We propose a general Riemannian proximal optimization algorithm with guaranteed convergence to solve Markov decision process (MDP) problems.
1 code implementation • 2 Apr 2020 • Xutan Peng, Mark Stevenson, Chenghua Lin, Chen Li
The technique of Cross-Lingual Word Embedding (CLWE) plays a fundamental role in tackling Natural Language Processing challenges for low-resource languages.
no code implementations • 27 Mar 2020 • Xiaomin Zhou, Chen Li, Md Mamunur Rahaman, Yu-Dong Yao, Shiliang Ai, Changhao Sun, Xiaoyan Li, Qian Wang, Tao Jiang
Breast cancer is one of the most common and deadliest cancers among women.
no code implementations • 19 Mar 2020 • Xialin Li, Chen Li, Wenwei Zhao
Behavior description is conducive to the analysis of tiny objects, similar objects, objects with weak visual information and objects with similar visual information, playing a fundamental role in the identification and classification of dynamic objects in microscopic videos.
no code implementations • 8 Mar 2020 • Jinghua Zhang, Chen Li, Frank Kulwa, Xin Zhao, Changhao Sun, Zihan Li, Tao Jiang, Hong Li
In order to assist researchers to identify Environmental Microorganisms (EMs) effectively, a Multi-scale CNN-CRF (MSCC) framework for the EM image segmentation is proposed in this paper.
no code implementations • 3 Mar 2020 • Changhao Sun, Chen Li, Jinghua Zhang, Muhammad Rahaman, Shiliang Ai, Hao Chen, Frank Kulwa, Yixin Li, Xiaoyan Li, Tao Jiang
This HCRF model is built up with higher order potentials, including pixel-level and patch-level potentials, and graph-based post-processing is applied to further improve its segmentation performance.
no code implementations • 15 Jan 2020 • Pargorn Puttapirat, Haichuan Zhang, Jingyi Deng, Yuxin Dong, Jiangbo Shi, Hongyu He, Zeyu Gao, Chunbao Wang, Xiangrong Zhang, Chen Li
Transition from conventional to digital pathology requires a new category of biomedical informatic infrastructure which could facilitate delicate pathological routine.
no code implementations • 14 Jan 2020 • Jiangbo Shi, Zeyu Gao, Haichuan Zhang, Pargorn Puttapirat, Chunbao Wang, Xiangrong Zhang, Chen Li
In classification, state-of-the-art deep learning-based classifiers perform better when trained by pixel-wise annotation dataset.
2 code implementations • 23 Nov 2019 • Kaiqiang Song, Logan Lebanoff, Qipeng Guo, Xipeng Qiu, xiangyang xue, Chen Li, Dong Yu, Fei Liu
If generating a word can introduce an erroneous relation to the summary, the behavior must be discouraged.
Ranked #23 on
Text Summarization
on GigaWord
no code implementations • 11 Nov 2019 • Junhui Zhang, Junjie Pan, Xiang Yin, Chen Li, Shichao Liu, Yang Zhang, Yuxuan Wang, Zejun Ma
In this paper, we propose a hybrid text normalization system using multi-head self-attention.
no code implementations • 30 Oct 2019 • Linmei Hu, Chen Li, Chuan Shi, Cheng Yang, Chao Shao
Existing methods on news recommendation mainly include collaborative filtering methods which rely on direct user-item interactions and content based methods which characterize the content of user reading history.
no code implementations • WS 2019 • Sangwoo Cho, Chen Li, Dong Yu, Hassan Foroosh, Fei Liu
Emerged as one of the best performing techniques for extractive summarization, determinantal point processes select the most probable set of sentences to form a summary according to a probability measure defined by modeling sentence prominence and pairwise repulsion.
1 code implementation • IJCNLP 2019 • Zuyi Bao, Rui Huang, Chen Li, Kenny Q. Zhu
Previous work on cross-lingual sequence labeling tasks either requires parallel data or bridges the two languages through word-byword matching.
no code implementations • 25 Sep 2019 • Yufei Li, Xiangyu Zhou, Jie Ma, Yu Long, Xuan Wang, Chen Li
Coreference resolution is an important task for gaining more complete understanding about texts by artificial intelligence.
no code implementations • WS 2019 • Kai He, Jialun Wu, Xiaoyong Ma, Chong Zhang, Ming Huang, Chen Li, Lixia Yao
Claims database and electronic health records database do not usually capture kinship or family relationship information, which is imperative for genetic research.
no code implementations • ACL 2019 • Eva Sharma, Chen Li, Lu Wang
Most existing text summarization datasets are compiled from the news domain, where summaries have a flattened discourse structure.
1 code implementation • CVPR 2019 • Chen Li, Mai Xu, Lai Jiang, Shanyi Zhang, Xiaoming Tao
In the second stage, a viewport quality network (VQ-net) is designed to rate the VQA score for each proposed viewport, in which the saliency map of the viewport is predicted and then utilized in VQA score rating.
2 code implementations • CVPR 2019 • Chen Li, Gim Hee Lee
We argue that 3D human pose estimation from a monocular input is an inverse problem where multiple feasible solutions can exist.
Monocular 3D Human Pose Estimation
Multi-Hypotheses 3D Human Pose Estimation
no code implementations • 4 Dec 2018 • Yan Zeng, YangYang Lan, Yazhou Hao, Chen Li, Qinhua Zheng
Words are annotated in fine-grained and coarse-grained labels.
Ranked #14 on
Sentiment Analysis
on SST-5 Fine-grained classification
1 code implementation • 14 Oct 2018 • Chen Li, Xutan Peng, Shanghang Zhang, Hao Peng, Philip S. Yu, Min He, Linfeng Du, Lihong Wang
By treating relations and multi-hop paths as two different input sources, we use a feature extractor, which is shared by two downstream components (i. e. relation classifier and source discriminator), to capture shared/similar information between them.
1 code implementation • arXiv preprint 2018 • Xutan Peng, Chen Li, Zhi Cai, Faqiang Shi, Yidan Liu, JianXin Li
In this paper, we initiate a novel system for transferring the texture of music, and release it as an open source project.
no code implementations • 13 Sep 2018 • Jiliang Zhang, Chen Li
Deep neural networks (DNNs) have shown huge superiority over humans in image recognition, speech processing, autonomous vehicles and medical diagnosis.
1 code implementation • 29 Jul 2018 • Chen Li, Mai Xu, Xinzhe Du, Zulin Wang
To fill in the gap between subjective quality and human behavior, this paper proposes a large-scale visual quality assessment (VQA) dataset of omnidirectional video, called VQA-OV, which collects 60 reference sequences and 540 impaired sequences.
no code implementations • WS 2018 • Chen Li, Junpei Zhou, Zuyi Bao, Hengyou Liu, Guangwei Xu, Linlin Li
In the correction stage, candidates were generated by the three GEC models and then merged to output the final corrections for M and S types.
no code implementations • SEMEVAL 2018 • Chunping Ma, Huafei Zheng, Pengjun Xie, Chen Li, Linlin Li, Luo Si
This paper describes our submissions for SemEval-2018 Task 8: Semantic Extraction from CybersecUrity REports using NLP.
1 code implementation • CVPR 2018 • Chen Li, Zhen Zhang, Wee Sun Lee, Gim Hee Lee
Human motion modeling is a classic problem in computer vision and graphics.
no code implementations • 22 Dec 2017 • Chen Li, Luca Venturi, Ruitu Xu
We investigate a series of learning kernel problems with polynomial combinations of base kernels, which will help us solve regression and classification problems.
8 code implementations • 14 Nov 2017 • Hao-Min Liu, Chen Li, Guojun Chen, Guofeng Zhang, Michael Kaess, Hujun Bao
In this paper, we present RKD-SLAM, a robust keyframe-based dense SLAM approach for an RGB-D camera that can robustly handle fast motion and dense loop closure, and run without time limitation in a moderate size scene.
no code implementations • SEMEVAL 2017 • Yazhou Hao, YangYang Lan, Yufei Li, Chen Li
This paper describes the XJSA System submission from XJTU.
1 code implementation • 31 Jul 2017 • Di Jiang, Zeyu Chen, Rongzhong Lian, Siqi Bao, Chen Li
Familia is an open-source toolkit for pragmatic topic modeling in industry.
no code implementations • CVPR 2017 • Chen Li, Stephen Lin, Kun Zhou, Katsushi Ikeuchi
We present a method for radiometric calibration of cameras from a single image that contains a human face.
no code implementations • CVPR 2017 • Chen Li, Stephen Lin, Kun Zhou, Katsushi Ikeuchi
An important practical feature of the proposed method is that the skin color model is utilized in a way that does not require color calibration of the camera.
no code implementations • 19 Jan 2017 • Zhongyu Wei, Chen Li, Yang Liu
For argumentation mining, there are several sub-tasks such as argumentation component type classification, relation classification.
no code implementations • COLING 2016 • Chen Li, Zhongyu Wei, Yang Liu, Yang Jin, Fei Huang
A news article summary usually consists of 2-3 key sentences that reflect the gist of that news article.
no code implementations • CVPR 2015 • Chen Li, Kun Zhou, Stephen Lin
We present a method for simulating makeup in a face image.
no code implementations • CVPR 2013 • Chen Li, Shuochen Su, Yasuyuki Matsushita, Kun Zhou, Stephen Lin
We present a method that enhances the performance of depth-from-defocus (DFD) through the use of shading information.