Discovery of stop regions for understanding repeat travel behaviors of moving objects. - Guangyan Huang; Jing He 004; Wanlei Zhou 001; Guang-Li Huang; Limin Guo 002; Xiangmin Zhou; Feiyi Tang (J. Comput. Syst. Sci., 2016)

Clustering of Multiple Density Peaks. - Borui Cai; Guangyan Huang; Yong Xiang 001; Jing He 004; Guang-Li Huang; Ke Deng; Xiangmin Zhou (PAKDD (3), 2018)

Discovering Traffic Anomaly Propagation in Urban Space Using Traffic Change Peaks. - Guang-Li Huang; Yimu Ji 001; Shangdong Liu; Roozbeh Zarei (ICDS, 2019)

Enhanced Classification Models for Iris Dataset. - Yuanyuan Wu; Jing He 004; Yimu Ji 001; Guang-Li Huang; Haichang Yao; Peng Zhang 063; Wen Xu; Mengjiao Guo; Youtao Li (ITQM, 2019)

Absorbing Diagonal Algorithm for Enhancing Randomized SVD Algorithms in Collaborative Filtering✱. - Junfeng Wu; Yuanyuan Wu; Jing He 004; Chi-Hung Chi; Guang-Li Huang; Peng Li 011; Yimu Ji 001; Haichang Yao (WI (Companion), 2019)

Root Cause Analysis of Traffic Anomalies Using Uneven Diffusion Model. - Guang-Li Huang; Ke Deng; Yongli Ren; Jianxin Li 001 (IEEE Access, 2019)

An Inclined Bounding Box Method for Detecting Parking Spaces in Open Parking Lots using Aerial Images. - Guang-Li Huang; Jing He 004; Rui Wang (WI/IAT, 2020)

Cognitive Traffic Anomaly Prediction from GPS Trajectories Using Visible Outlier Indexes and Meshed Spatiotemporal Neighborhoods. - Guang-Li Huang; Ke Deng; Jing He 004 (Cogn. Comput., 2020)

Intelligent pseudo-location recommendation for protecting personal location privacy. - Guang-Li Huang; Ke Deng; Zhijun Xie; Jing He 004 (Concurr. Comput. Pract. Exp., 2020)

A combination model based on transfer learning for waste classification. - Guang-Li Huang; Jing He 004; Zenglin Xu; Guangyan Huang (Concurr. Comput. Pract. Exp., 2020)

Dual incremental fuzzy schemes for frequent itemsets discovery in streaming numeric data. - Hui Zheng 001; Peng Li 011; Qing Liu 001; Jinjun Chen; Guang-Li Huang; Junfeng Wu; Yun Xue; Jing He 004 (Inf. Sci., 2020)

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)

Repeatable Pattern Mining for Accurate Subtraction of Backgrounds with Waving Objects in Underwater Videos. - Junfeng Wu; Guangyan Huang; Hui Zheng 001; Guang-Li Huang; Yu Hu 001; Jing He 004 (DSAA, 2022)

Emerging Scientific Topic Discovery by Finding Infrequent Synonymous Biterms. - Junfeng Wu; Guangyan Huang; Roozbeh Zarei; Jianxin Li 001; Guang-Li Huang; Hui Zheng 001; Jing He 004; Chi-Hung Chi (PAKDD (1), 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 001 (SmartGridComm, 2022)

IoT-based Analysis for Smart Energy Management. - Guang-Li Huang; Adnan Anwar; Seng W. Loke; Arkady B. Zaslavsky; Jinho Choi 001 (VTC Spring, 2022)

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 (MobiQuitous (1), 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 001; Alireza Hassani (IEEE Trans. Intell. Transp. Syst., 2023)

Multi-objective optimisation based fuzzy association rule mining method. - Hui Zheng 001; Jing He 004; Qing Liu 001; Jianhua Li 002; Guang-Li Huang; Peng Li 011 (World Wide Web (WWW), 2023)

Refresh Rate-Based Caching and Prefetching Strategies for Internet of Things Middleware. - Alexey Medvedev 001; Alireza Hassani; Gleb Belov; Shakthi Weerasinghe; Guang-Li Huang; Arkady B. Zaslavsky; Seng W. Loke; Prem Prakash Jayaraman (Sensors, 2023)

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 (MDM, 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 (MDM, 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 (PerCom Workshops, 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 001; Chi-Hung Chi; Jing He 004 (WISE (1), 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)

Emerging Scientific Topic Discovery by Analyzing Reliable Patterns of Infrequent Synonymous Biterms. - Junfeng Wu; Guangyan Huang; Hui Zheng 001; Guang-Li Huang; Borui Cai; Chi-Hung Chi; Jing He 004 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Reinforcement Learning Based Approaches to Adaptive Context Caching in Distributed Context Management Systems. - Shakthi Weerasinghe; Arkady B. Zaslavsky; Seng W. Loke; Alexey Medvedev 001; Amin Abken; Alireza Hassani; Guang-Li Huang (ACM Trans. Internet Things, 2024)