Efficient Algorithms for Vehicle Type Identification Using Mobile-Phone Locations. - Peilan He; Wenjun Wang; Guiyuan Jiang (PAAP, 2014)

Reconfigurations for Processor Arrays with Faulty Switches and Links. - Jigang Wu; Longting Zhu; Peilan He; Guiyuan Jiang (CCGRID, 2015)

Predicting Travel Time of Bus Journeys with Alternative Bus Services. - Peilan He; Yidan Sun; Guiyuan Jiang; Siew-Kei Lam (ICDM Workshops, 2019)

Bus Travel Speed Prediction using Attention Network of Heterogeneous Correlation Features. - Yidan Sun; Guiyuan Jiang; Siew-Kei Lam; Shicheng Chen; Peilan He (SDM, 2019)

Travel-Time Prediction of Bus Journey With Multiple Bus Trips. - Peilan He; Guiyuan Jiang; Siew-Kei Lam; Dehua Tang (IEEE Trans. Intell. Transp. Syst., 2019)

Learning heterogeneous traffic patterns for travel time prediction of bus journeys. - Peilan He; Guiyuan Jiang; Siew-Kei Lam; Yidan Sun (Inf. Sci., 2020)

Peak-Hour Vehicle Routing for First-Mile Transportation: Problem Formulation and Algorithms. - Guiyuan Jiang; Siew-Kei Lam; Fangxin Ning; Peilan He; Jidong Xie (IEEE Trans. Intell. Transp. Syst., 2020)

Predicting Traffic Congestion Evolution: A Deep Meta Learning Approach. - Yidan Sun; Guiyuan Jiang; Siew Kei Lam; Peilan He (IJCAI, 2021)

Learning Congestion Propagation Behaviors for Traffic Prediction. - Yidan Sun; Peilan He; Guiyuan Jiang; Siew-Kei Lam (ITSC, 2021)

Passenger-centric vehicle routing for first-mile transportation considering request uncertainty. - Fangxin Ning; Guiyuan Jiang; Siew-Kei Lam; Changhai Ou; Peilan He; Yidan Sun (Inf. Sci., 2021)

Multi-criteria journey planning for enhancing user experience in multimodal transportation systems - Peilan He (2021)

Traffic Speed Prediction of Road Cluster with Heterogeneous Sampling Frequency. - Guiyuan Jiang; Peilan He; Jigang Wu; Yidan Sun; Thambipillai Srikanthan (PAAP, 2022)

Multi-fold Correlation Attention Network for Predicting Traffic Speeds with Heterogeneous Frequency. - Yidan Sun; Guiyuan Jiang; Siew-Kei Lam; Peilan He; Fangxin Ning (Appl. Soft Comput., 2022)

ML-MMAS: Self-learning ant colony optimization for multi-criteria journey planning. - Peilan He; Guiyuan Jiang; Siew-Kei Lam; Yidan Sun (Inf. Sci., 2022)

Exploring Public Transport Transfer Opportunities for Pareto Search of Multicriteria Journeys. - Peilan He; Guiyuan Jiang; Siew-Kei Lam; Yidan Sun; Fangxin Ning (IEEE Trans. Intell. Transp. Syst., 2022)

A Multi-Scale Attributes Attention Model for Transport Mode Identification. - Guiyuan Jiang; Siew-Kei Lam; Peilan He; Changhai Ou; Dihao Ai (IEEE Trans. Intell. Transp. Syst., 2022)

Learning Traffic Network Embeddings for Predicting Congestion Propagation. - Yidan Sun; Guiyuan Jiang; Siew-Kei Lam; Peilan He (IEEE Trans. Intell. Transp. Syst., 2022)

Computer vision framework for crack detection of civil infrastructure - A review. - Dihao Ai; Guiyuan Jiang; Siew-Kei Lam; Peilan He; Chengwu Li (Eng. Appl. Artif. Intell., 2023)

Streamlining DNN Obfuscation to Defend Against Model Stealing Attacks. - Yidan Sun; Siew-Kei Lam; Guiyuan Jiang; Peilan He (ISCAS, 2024)

Layer Sequence Extraction of Optimized DNNs Using Side-Channel Information Leaks. - Yidan Sun; Guiyuan Jiang; Xinwang Liu 002; Peilan He; Siew-Kei Lam (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Local High-order Structure-aware Graph Neural Network for motif prediction. - Wen Yang; Xiang Li 111; Bin Wang 045; Jianpeng Qi; Zhongying Zhao 001; Peilan He; Yanwei Yu (Knowl. Based Syst., 2025)