Search Results for author: Yangming Zhou

Found 22 papers, 2 papers with code

Multi-modal Fake News Detection on Social Media via Multi-grained Information Fusion

no code implementations3 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.

Fake News Detection

Bootstrapping Multi-view Representations for Fake News Detection

no code implementations12 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.

Decision Making Fake News Detection

Multimodal Fake News Detection via CLIP-Guided Learning

no code implementations28 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.

Decision Making Fake News Detection +1

Frequent Itemset-driven Search for Finding Minimum Node Separators in Complex Networks

no code implementations18 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.


Heuristic Search for Rank Aggregation with Application to Label Ranking

no code implementations11 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.

Cost-Quality Adaptive Active Learning for Chinese Clinical Named Entity Recognition

no code implementations28 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.

Active Learning Informativeness +3

Variable Population Memetic Search: A Case Study on the Critical Node Problem

no code implementations12 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.

Enriching Medcial Terminology Knowledge Bases via Pre-trained Language Model and Graph Convolutional Network

no code implementations2 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.

Language Modelling

NE-LP: Normalized Entropy and Loss Prediction based Sampling for Active Learning in Chinese Word Segmentation on EHRs

no code implementations22 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.

Active Learning Chinese Word Segmentation

CBOWRA: A Representation Learning Approach for Medication Anomaly Detection

no code implementations20 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.

Anomaly Detection BIG-bench Machine Learning +1

PatientEG Dataset: Bringing Event Graph Model with Temporal Relations to Electronic Medical Records

no code implementations24 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.

An attention-based Bi-GRU-CapsNet model for hypernymy detection between compound entities

1 code implementation13 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.

Incorporating Dictionaries into Deep Neural Networks for the Chinese Clinical Named Entity Recognition

no code implementations13 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.

Feature Engineering named-entity-recognition +2

Memetic search for identifying critical nodes in sparse graphs

no code implementations11 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.

Random Forest for Label Ranking

no code implementations27 Aug 2016 Yangming Zhou, Guoping Qiu

Label ranking aims to learn a mapping from instances to rankings over a finite number of predefined labels.

Reinforcement learning based local search for grouping problems: A case study on graph coloring

no code implementations1 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.

Combinatorial Optimization reinforcement-learning +1

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