Search Results - "Pan, Shirui"

Deep learning data augmentation for Raman spectroscopy cancer tissue classification by Wu, Man, Wang, Shuwen, Pan, Shirui, Terentis, Andrew C., Strasswimmer, John, Zhu, Xingquan

“…Recently, Raman Spectroscopy (RS) was demonstrated to be a non-destructive way of cancer diagnosis, due to the uniqueness of RS measurements in revealing…”
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Multi-Instance Learning with Discriminative Bag Mapping by Wu, Jia, Pan, Shirui, Zhu, Xingquan, Zhang, Chengqi, Wu, Xindong

“…Multi-instance learning (MIL) is a useful tool for tackling labeling ambiguity in learning because it allows a bag of instances to share one label. Bag mapping…”
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OpenWGL: open-world graph learning for unseen class node classification by Wu, Man, Pan, Shirui, Zhu, Xingquan

“…Graph learning, such as node classification, is typically carried out in a closed-world setting. A number of nodes are labeled, and the learning goal is to…”
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Boosting for Multi-Graph Classification by Wu, Jia, Pan, Shirui, Zhu, Xingquan, Cai, Zhihua

“…In this paper, we formulate a novel graph-based learning problem, multi-graph classification (MGC), which aims to learn a classifier from a set of labeled bags…”
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CogBoost: Boosting for Fast Cost-Sensitive Graph Classification by Pan, Shirui, Wu, Jia, Zhu, Xingquan

“…Graph classification has drawn great interests in recent years due to the increasing number of applications involving objects with complex structure…”
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Familial Clustering for Weakly-Labeled Android Malware Using Hybrid Representation Learning by Zhang, Yanxin, Sui, Yulei, Pan, Shirui, Zheng, Zheng, Ning, Baodi, Tsang, Ivor, Zhou, Wanlei

“…Labeling malware or malware clustering is important for identifying new security threats, triaging and building reference datasets. The state-of-the-art…”
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Task Sensitive Feature Exploration and Learning for Multitask Graph Classification by Pan, Shirui, Wu, Jia, Zhu, Xingquan, Long, Guodong, Zhang, Chengqi

“…Multitask learning (MTL) is commonly used for jointly optimizing multiple learning tasks. To date, all existing MTL methods have been designed for tasks with…”
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Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting by Zheng, Chuanpan, Fan, Xiaoliang, Pan, Shirui, Jin, Haibing, Peng, Zhaopeng, Wu, Zonghan, Wang, Cheng, Yu, Philip S.

“…Recent studies have shifted their focus towards formulating traffic forecasting as a spatio-temporal graph modeling problem. Typically, they constructed a…”
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Self-adaptive attribute weighting for Naive Bayes classification by Wu, Jia, Pan, Shirui, Zhu, Xingquan, Cai, Zhihua, Zhang, Peng, Zhang, Chengqi

“…•Self-adaptive attribute weighting for Naive Bayes classification.•Using Artificial Immune Systems (AIS) for attribute weighting.•Seamlessly integrating…”
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Supervised Learning for Suicidal Ideation Detection in Online User Content by Pan, Shirui, Fung, Sai-fu, Yu, Celina Ping, Ji, Shaoxiong, Long, Guodong

“…Early detection and treatment are regarded as the most effective ways to prevent suicidal ideation and potential suicide attempts—two critical risk factors…”
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Graph Ensemble Boosting for Imbalanced Noisy Graph Stream Classification by Pan, Shirui, Wu, Jia, Zhu, Xingquan, Zhang, Chengqi

“…Many applications involve stream data with structural dependency, graph representations, and continuously increasing volumes. For these applications, it is…”
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Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification by Shirui Pan, Jia Wu, Xingquan Zhu, Chengqi Zhang, Yu, Philip S.

“…Graph classification aims to learn models to classify structure data. To date, all existing graph classification methods are designed to target one single…”
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Exploiting Attribute Correlations: A Novel Trace Lasso-Based Weakly Supervised Dictionary Learning Method by Wu, Lin, Wang, Yang, Pan, Shirui

“…It is now well established that sparse representation models are working effectively for many visual recognition tasks, and have pushed forward the success of…”
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Positive and Unlabeled Multi-Graph Learning by Wu, Jia, Pan, Shirui, Zhu, Xingquan, Zhang, Chengqi, Wu, Xindong

“…In this paper, we advance graph classification to handle multi-graph learning for complicated objects, where each object is represented as a bag of graphs and…”
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GADTI: Graph Autoencoder Approach for DTI Prediction From Heterogeneous Network by Liu, Zhixian, Chen, Qingfeng, Lan, Wei, Pan, Haiming, Hao, Xinkun, Pan, Shirui

“…Identifying drug-target interaction (DTI) is the basis for drug development. However, the method of using biochemical experiments to discover drug-target…”
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Positive-unlabeled learning in bioinformatics and computational biology: a brief review by Li, Fuyi, Dong, Shuangyu, Leier, André, Han, Meiya, Guo, Xudong, Xu, Jing, Wang, Xiaoyu, Pan, Shirui, Jia, Cangzhi, Zhang, Yang, Webb, Geoffrey I, Coin, Lachlan J M, Li, Chen, Song, Jiangning

“…Abstract Conventional supervised binary classification algorithms have been widely applied to address significant research questions using biological and…”
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Adaptive knowledge subgraph ensemble for robust and trustworthy knowledge graph completion by Wan, Guojia, Du, Bo, Pan, Shirui, Wu, Jia

“…Knowledge graph (KG) embedding approaches are widely used to infer underlying missing facts based on intrinsic structure information. However, the presence of…”
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Measuring distance-based semantic similarity using meronymy and hyponymy relations by Cai, Yuanyuan, Pan, Shirui, Wang, Ximeng, Chen, Hongshu, Cai, Xiaoyan, Zuo, Min

“…The assessment of semantic similarity between lexical terms plays a critical part in semantic-oriented applications for natural language processing and…”
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Cyclic label propagation for graph semi-supervised learning by Li, Zhao, Liu, Yixin, Zhang, Zhen, Pan, Shirui, Gao, Jianliang, Bu, Jiajun

“…Graph neural networks (GNNs) have emerged as effective approaches for graph analysis, especially in the scenario of semi-supervised learning. Despite its…”
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Collective Behavior Analysis and Graph Mining in Social Networks 2021 by Xiong, Fei, Pan, Shirui, Zhu, Xuzhen

“…Users in social networks may create new connections with other users, so they can interact through those links, or they may break existing connections…”
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