Yin-Hei Chan

According to our database, Yin-Hei Chan authored at least 6 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Functional Objects in Urban Walking Environments and Pedestrian Trajectory Modelling.

Andrew Kwok-Fai Lui, Yin-Hei Chan, Kevin Hung

Sensors, 2023

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

Short Term Traffic Flow Prediction with Neighbor Selecting Gated Recurrent Unit.

Yin-Hei Chan, Andrew Kwok-Fai Lui, Sin Chun Ng

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 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

Proceedings of the CSAI 2021: 5th International Conference on Computer Science and Artificial Intelligence, Beijing, China, December 4, 2021

Modelling of Destinations for Data-driven Pedestrian Trajectory Prediction in Public Buildings.

Andrew Kwok-Fai Lui, Yin-Hei Chan, Man-Fai Leung

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Leveraging data sampling patterns in data-driven traffic characteristic modeling.

Yin-Hei Chan, Andrew Kwok-Fai Lui

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021