no code implementations • 10 Jul 2024 • Yuzhou Yang, Yangming Zhou, Qichao Ying, Zhenxing Qian, Xinpeng Zhang
Pioneer researches recognize evidences as crucial elements in fake news detection apart from patterns.
no code implementations • 3 Jan 2024 • Yuzhou Yang, Yangming Zhou, Qichao Ying, Zhenxing Qian, Dan Zeng, Liang Liu
This paper reviews and summarizes the research results on fact-based fake news from the perspectives of tasks and problems, algorithm strategies, and datasets.
no code implementations • 3 Apr 2023 • Yangming Zhou, Yuzhou Yang, Qichao Ying, Zhenxing Qian, Xinpeng Zhang
The easy sharing of multimedia content on social media has caused a rapid dissemination of fake news, which threatens society's stability and security.
no code implementations • 7 Jul 2022 • Yangming Zhou, Qichao Ying, Xiangyu Zhang, Zhenxing Qian, Sheng Li, Xinpeng Zhang
We jointly train a 3D-UNet-based watermark embedding network and a decoder that predicts the tampering mask.
1 code implementation • 12 Jun 2022 • Qichao Ying, Xiaoxiao Hu, Yangming Zhou, Zhenxing Qian, Dan Zeng, Shiming Ge
Representations from each view are separately used to coarsely predict the fidelity of the whole news, and the multimodal representations are able to predict the cross-modal consistency.
no code implementations • 28 May 2022 • Yangming Zhou, Qichao Ying, Zhenxing Qian, Sheng Li, Xinpeng Zhang
The results indicate that the proposed framework has a better capability in mining crucial features for fake news detection.
no code implementations • 18 Jan 2022 • Yangming Zhou, Xiaze Zhang, Na Geng, Zhibin Jiang, Mengchu Zhou
Finding an optimal set of critical nodes in a complex network has been a long-standing problem in the fields of both artificial intelligence and operations research.
no code implementations • 11 Jan 2022 • Yangming Zhou, Jin-Kao Hao, Zhen Li, Fred Glover
Rank aggregation aims to combine the preference rankings of a number of alternatives from different voters into a single consensus ranking.
no code implementations • 3 Dec 2021 • Xuwei Tan, Yangming Zhou, Mengchu Zhou, Zhang-Hua Fu
The critical node problem (CNP) aims to find a set of critical nodes from a network whose deletion maximally degrades the pairwise connectivity of the residual network.
no code implementations • 28 Aug 2020 • Tingting Cai, Yangming Zhou, Hong Zheng
In this paper, we propose a Cost-Quality Adaptive Active Learning (CQAAL) approach for CNER in Chinese EHRs, which maintains a balance between the annotation quality, labeling costs, and the informativeness of selected instances.
no code implementations • 12 Sep 2019 • Yangming Zhou, Jin-Kao Hao, Zhang-Hua Fu, Zhe Wang, Xiangjing Lai
Population-based memetic algorithms have been successfully applied to solve many difficult combinatorial problems.
no code implementations • 2 Sep 2019 • Jiaying Zhang, Zhixing Zhang, Huanhuan Zhang, Zhiyuan Ma, Yangming Zhou, Ping He
Afterwards, both semantic and structure embeddings are combined to measure the relevancy between the terminology and the entity.
no code implementations • 22 Aug 2019 • Tingting Cai, Zhiyuan Ma, Hong Zheng, Yangming Zhou
Meanwhile, to minimize the computational cost of learning, we propose a joint model including a word segmenter and a loss prediction model.
1 code implementation • 21 Aug 2019 • Kui Xue, Yangming Zhou, Zhiyuan Ma, Tong Ruan, Huanhuan Zhang, Ping He
Entity and relation extraction is the necessary step in structuring medical text.
no code implementations • 20 Aug 2019 • Liang Zhao, Zhiyuan Ma, Yangming Zhou, Kai Wang, Shengping Liu, Ju Gao
Electronic health record is an important source for clinical researches and applications, and errors inevitably occur in the data, which could lead to severe damages to both patients and hospital services.
no code implementations • 19 Aug 2019 • Jiahui Qiu, Yangming Zhou, Zhiyuan Ma, Tong Ruan, Jinlin Liu, Jing Sun
Clinical text structuring is a critical and fundamental task for clinical research.
no code implementations • 24 Dec 2018 • Xuli Liu, Jihao Jin, Qi. Wang, Tong Ruan, Yangming Zhou, Daqi Gao, Yichao Yin
Based on the proposed model, we also construct a PatientEG dataset with 191, 294 events, 3, 429 distinct entities, and 545, 993 temporal relations using EMRs from Shanghai Shuguang hospital.
no code implementations • 27 Aug 2018 • Jiahui Qiu, Qi. Wang, Yangming Zhou, Tong Ruan, Ju Gao
In this paper, we propose a Residual Dilated Convolutional Neural Network with Conditional Random Field (RD-CNN-CRF) to solve it.
no code implementations • 18 Jul 2018 • Qi. Wang, Jiahui Qiu, Yangming Zhou, Tong Ruan, Daqi Gao, Ju Gao
Coronary artery disease (CAD) is one of the leading causes of cardiovascular disease deaths.
1 code implementation • 13 May 2018 • Qi. Wang, Chenming Xu, Yangming Zhou, Tong Ruan, Daqi Gao, Ping He
In this paper, we present an attention-based Bi-GRU-CapsNet model to detect hypernymy relationship between compound entities.
no code implementations • 13 Apr 2018 • Qi. Wang, Yuhang Xia, Yangming Zhou, Tong Ruan, Daqi Gao, Ping He
Clinical Named Entity Recognition (CNER) aims to identify and classify clinical terms such as diseases, symptoms, treatments, exams, and body parts in electronic health records, which is a fundamental and crucial task for clinical and translational research.
no code implementations • 11 May 2017 • Yangming Zhou, Jin-Kao Hao, Fred Glover
In this paper, we study the classic critical node problem (CNP) and introduce an effective memetic algorithm for solving CNP.
no code implementations • 27 Aug 2016 • Yangming Zhou, Guoping Qiu
Label ranking aims to learn a mapping from instances to rankings over a finite number of predefined labels.
no code implementations • 1 Apr 2016 • Yangming Zhou, Jin-Kao Hao, Béatrice Duval
Grouping problems aim to partition a set of items into multiple mutually disjoint subsets according to some specific criterion and constraints.