Guang-Li Huang

According to our database, Guang-Li Huang authored at least 27 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Reinforcement Learning Based Approaches to Adaptive Context Caching in Distributed Context Management Systems.

Shakthi Weerasinghe, Arkady B. Zaslavsky, Seng W. Loke, Alexey Medvedev, Amin Abken, Alireza Hassani, Guang-Li Huang

ACM Trans. Internet Things, May, 2024

Emerging Scientific Topic Discovery by Analyzing Reliable Patterns of Infrequent Synonymous Biterms.

Junfeng Wu, Guangyan Huang, Hui Zheng, Guang-Li Huang, Borui Cai, Chi-Hung Chi, Jing He

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

A Hybrid Approach to Monitor Context Parameters for Optimising Caching for Context-Aware IoT Applications.

Ashish Manchanda, Prem Prakash Jayaraman, Abhik Banerjee, Arkady B. Zaslavsky, Shakthi Weerasinghe, Guang-Li Huang

CoRR, 2024

Predicting Next Useful Location With Context-Awareness: The State-Of-The-Art.

Alireza Nezhadettehad, Arkady B. Zaslavsky, Abdur Rakib, Siraj Ahmed Shaikh, Seng W. Loke, Guang-Li Huang, Alireza Hassani

CoRR, 2024

Early Discovery of Key Innovative Publications by Analyzing Emerging Topic Trends.

Junfeng Wu, Xiangmin Zhou, Guangyan Huang, Borui Cai, Guang-Li Huang, Hui Zheng, Chi-Hung Chi, Jing He

Proceedings of the Web Information Systems Engineering - WISE 2024, 2024

Improving the Usefulness of Context Information for IoT Applications: A Middleware-based Approach.

Shakthi Weerasinghe, Kanaka Sai Jagarlamudi, Arkady B. Zaslavsky, Seng W. Loke, Kevin Lee, Guang-Li Huang

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024

Proactive Context Caching Based on Situation Prediction for Real-Time Mobile IoT Applications.

Shakthi Weerasinghe, Arkady B. Zaslavsky, Seng W. Loke, Guang-Li Huang

Proceedings of the 25th IEEE International Conference on Mobile Data Management, 2024

Fusing Images and Ontologies for Situation Representation in Knowledge Graphs.

Ravindi de Silva, Arkady B. Zaslavsky, Seng W. Loke, Guang-Li Huang, Prem Prakash Jayaraman, Ashim Debnath

Proceedings of the 25th IEEE International Conference on Mobile Data Management, 2024

2023

Refresh Rate-Based Caching and Prefetching Strategies for Internet of Things Middleware.

Alexey Medvedev, Alireza Hassani, Gleb Belov, Shakthi Weerasinghe, Guang-Li Huang, Arkady B. Zaslavsky, Seng W. Loke, Prem Prakash Jayaraman

Sensors, October, 2023

Multi-objective optimisation based fuzzy association rule mining method.

Hui Zheng, Jing He, Qing Liu, Jianhua Li, Guang-Li Huang, Peng Li

World Wide Web (WWW), May, 2023

Context-Aware Machine Learning for Intelligent Transportation Systems: A Survey.

Guang-Li Huang, Arkady B. Zaslavsky, Seng W. Loke, Amin B. Abkenar, Alexey Medvedev, Alireza Hassani

IEEE Trans. Intell. Transp. Syst., January, 2023

2022

IoT-based Analysis for Smart Energy Management.

Guang-Li Huang, Adnan Anwar, Seng W. Loke, Arkady B. Zaslavsky, Jinho Choi

Proceedings of the 95th IEEE Vehicular Technology Conference, 2022

Smart Home/Office Energy Management based on Individual Data Analysis through IoT Networks.

Guang-Li Huang, Adnan Anwar, Seng W. Loke, Arkady B. Zaslavsky, Jinho Choi

Proceedings of the IEEE International Conference on Communications, 2022

Emerging Scientific Topic Discovery by Finding Infrequent Synonymous Biterms.

Junfeng Wu, Guangyan Huang, Roozbeh Zarei, Jianxin Li, Guang-Li Huang, Hui Zheng, Jing He, Chi-Hung Chi

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Repeatable Pattern Mining for Accurate Subtraction of Backgrounds with Waving Objects in Underwater Videos.

Junfeng Wu, Guangyan Huang, Hui Zheng, Guang-Li Huang, Yu Hu, Jing He

Proceedings of the 9th IEEE International Conference on Data Science and Advanced Analytics, 2022

2021

Discovering Traffic Anomaly Propagation in Urban Space Using Enhanced Traffic Change Peaks.

Guang-Li Huang, Tuba Kocaturk, Chi-Hung Chi

Int. J. Inf. Technol. Decis. Mak., 2021

2020

Dual incremental fuzzy schemes for frequent itemsets discovery in streaming numeric data.

Hui Zheng, Peng Li, Qing Liu, Jinjun Chen, Guang-Li Huang, Junfeng Wu, Yun Xue, Jing He

Inf. Sci., 2020

A combination model based on transfer learning for waste classification.

Guang-Li Huang, Jing He, Zenglin Xu, Guangyan Huang

Concurr. Comput. Pract. Exp., 2020

Intelligent pseudo-location recommendation for protecting personal location privacy.

Guang-Li Huang, Ke Deng, Zhijun Xie, Jing He

Concurr. Comput. Pract. Exp., 2020

Cognitive Traffic Anomaly Prediction from GPS Trajectories Using Visible Outlier Indexes and Meshed Spatiotemporal Neighborhoods.

Guang-Li Huang, Ke Deng, Jing He

Cogn. Comput., 2020

An Inclined Bounding Box Method for Detecting Parking Spaces in Open Parking Lots using Aerial Images.

Guang-Li Huang, Jing He, Rui Wang

Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

2019

Root Cause Analysis of Traffic Anomalies Using Uneven Diffusion Model.

Guang-Li Huang, Ke Deng, Yongli Ren, Jianxin Li

IEEE Access, 2019

Absorbing Diagonal Algorithm for Enhancing Randomized SVD Algorithms in Collaborative Filtering✱.

Junfeng Wu, Yuanyuan Wu, Jing He, Chi-Hung Chi, Guang-Li Huang, Peng Li, Yimu Ji, Haichang Yao

Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

Enhanced Classification Models for Iris Dataset.

Yuanyuan Wu, Jing He, Yimu Ji, Guang-Li Huang, Haichang Yao, Peng Zhang, Wen Xu, Mengjiao Guo, Youtao Li

Proceedings of the 7th International Conference on Information Technology and Quantitative Management, 2019

Discovering Traffic Anomaly Propagation in Urban Space Using Traffic Change Peaks.

Guang-Li Huang, Yimu Ji, Shangdong Liu, Roozbeh Zarei

Proceedings of the Data Science - 6th International Conference, 2019

2018

Clustering of Multiple Density Peaks.

Borui Cai, Guangyan Huang, Yong Xiang, Jing He, Guang-Li Huang, Ke Deng, Xiangmin Zhou

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

2016

Discovery of stop regions for understanding repeat travel behaviors of moving objects.

Guangyan Huang, Jing He, Wanlei Zhou, Guang-Li Huang, Limin Guo, Xiangmin Zhou, Feiyi Tang

J. Comput. Syst. Sci., 2016