Leveraging data sampling patterns in data-driven traffic characteristic modeling. - Yin-Hei Chan; Andrew Kwok-Fai Lui (IEEE BigData, 2021)

Modelling of Destinations for Data-driven Pedestrian Trajectory Prediction in Public Buildings. - Andrew Kwok-Fai Lui; Yin-Hei Chan; Man-Fai Leung (IEEE BigData, 2021)

Predictive Screening of Accident Black Spots based on Deep Neural Models of Road Networks and Facilities: A Case Study based on a District in Hong Kong. - Andrew Kwok-Fai Lui; Yin-Hei Chan; Ka-Ho Lo; Wang-To Cheng; Hang-Tak Cheung (CSAI, 2021)

Short Term Traffic Flow Prediction with Neighbor Selecting Gated Recurrent Unit. - Yin-Hei Chan; Andrew Kwok-Fai Lui; Sin Chun Ng (SMC, 2021)

Analyzing the Importance of Broker Identities in the Limit Order Book Through Deep Learning. - Samuel Ping-Man Choi; Yin-Hei Chan; Sze Sing Lam; Hie-Yiin Hung (Big Data, 2021)

Functional Objects in Urban Walking Environments and Pedestrian Trajectory Modelling. - Andrew Kwok-Fai Lui; Yin-Hei Chan; Kevin Hung (Sensors, 2023)