Search Results - "Guodong Long"

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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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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Diagnosis Code Assignment Using Sparsity-Based Disease Correlation Embedding by Sen Wang, Xiaojun Chang, Xue Li, Guodong Long, Lina Yao, Sheng, Quan Z.

“…With the latest developments in database technologies, it becomes easier to store the medical records of hospital patients from their first day of admission…”
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Collective Hyping Detection System for Identifying Online Spam Activities by Zhang, Qinzhe, Wu, Jia, Zhang, Peng, Long, Guodong, Zhang, Chengqi

“…Although existing antispam strategies detect traditional spam activities effectively, evolving spam schemes can successfully cheat conventional testing by…”
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Measuring Time-Sensitive and Topic-Specific Influence in Social Networks With LSTM and Self-Attention by Zheng, Cheng, Zhang, Qin, Long, Guodong, Zhang, Chengqi, Young, Sean D., Wang, Wei

“…Influence measurement in social networks is vital to various real-world applications, such as online marketing and political campaigns. In this paper, we…”
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UbiMeta: A Ubiquitous Operating System Model for Metaverse by Chen, Yiqiang, Huang, Wuliang, Jiang, Xinlong, Zhang, Teng, Wang, Yi, Yan, Bingjie, Wang, Zhirui, Chen, Qian, Xing, Yunbing, Li, Dong, Long, Guodong

“…The metaverse signifies the amalgamation of virtual and tangible realms through human-computer interaction. The seamless integration of human, cyber, and…”
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A Comprehensive Survey on Graph Neural Networks by Wu, Zonghan, Pan, Shirui, Chen, Fengwen, Long, Guodong, Zhang, Chengqi, Yu, Philip S.

“…Deep learning has revolutionized many machine learning tasks in recent years, ranging from image classification and video processing to speech recognition and…”
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Optimal Cloud Resource Auto-Scaling for Web Applications by Jing Jiang, Jie Lu, Guangquan Zhang, Guodong Long

“…In the on-demand cloud environment, web application providers have the potential to scale virtual resources up or down to achieve cost-effective outcomes. True…”
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Salient Subsequence Learning for Time Series Clustering by Zhang, Qin, Wu, Jia, Zhang, Peng, Long, Guodong, Zhang, Chengqi

“…Time series has been a popular research topic over the past decade. Salient subsequences of time series that can benefit the learning task, e.g.,…”
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FedGE: Break the Scalability Limitation of Graph Neural Network With Federated Graph Embedding by Chen, Fengwen, Long, Guodong

“…Neighborhood aggregation algorithms, represented as graph convolutional networks, have attained non-negligible success in numerous topological structure-based…”
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Learning Graph Embedding With Adversarial Training Methods by Pan, Shirui, Hu, Ruiqi, Fung, Sai-Fu, Long, Guodong, Jiang, Jing, Zhang, Chengqi

“…Graph embedding aims to transfer a graph into vectors to facilitate subsequent graph-analytics tasks like link prediction and graph clustering. Most approaches…”
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Multi-center federated learning: clients clustering for better personalization by Long, Guodong, Xie, Ming, Shen, Tao, Zhou, Tianyi, Wang, Xianzhi, Jiang, Jing

“…Personalized decision-making can be implemented in a Federated learning (FL) framework that can collaboratively train a decision model by extracting knowledge…”
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Towards Mining Trapezoidal Data Streams by Zhang, Qin, Zhang, Peng, Long, Guodong, Ding, Wei, Zhang, Chengqi, Wu, Xindong

“…We study a new problem of learning from doubly-streaming data where both data volume and feature space increase over time. We refer to the problem as mining…”
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Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy by Liu, Lu, Zhou, Tianyi, Long, Guodong, Jiang, Jing, Zhang, Chengqi

“…We study many-class few-shot (MCFS) problem in both supervised learning and meta-learning settings. Compared to the well-studied many-class many-shot and…”
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Deep neighbor-aware embedding for node clustering in attributed graphs by Wang, Chun, Pan, Shirui, Yu, Celina P., Hu, Ruiqi, Long, Guodong, Zhang, Chengqi

“…•We proposed a neighbor-aware embedding algorithm for attributed graph clustering.•Embedding learning and clustering are jointly optimized in an end-to-end…”
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Beyond Low-Pass Filtering: Graph Convolutional Networks With Automatic Filtering by Wu, Zonghan, Pan, Shirui, Long, Guodong, Jiang, Jing, Zhang, Chengqi

“…Graph convolutional networks are becoming indispensable for deep learning from graph-structured data. Most of the existing graph convolutional networks share…”
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Dyformer: A dynamic transformer-based architecture for multivariate time series classification by Yang, Chao, Wang, Xianzhi, Yao, Lina, Long, Guodong, Xu, Guandong

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TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting by Wu, Zonghan, Zheng, Da, Pan, Shirui, Gan, Quan, Long, Guodong, Karypis, George

“…This article aims to unify spatial dependency and temporal dependency in a non-Euclidean space while capturing the inner spatial-temporal dependencies for…”
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Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications by Ji, Shaoxiong, Pan, Shirui, Li, Xue, Cambria, Erik, Long, Guodong, Huang, Zi

“…Suicide is a critical issue in modern society. Early detection and prevention of suicide attempts should be addressed to save people's life. Current suicidal…”
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Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task by Zhang, Xiaohan, Liu, Lu, Long, Guodong, Jiang, Jing, Liu, Shenquan

“…Typical methods to study cognitive function are to record the electrical activities of animal neurons during the training of animals performing behavioral…”
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