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Yin-Hei Chan

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2020 – today

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2023
[j2]
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  dblp key:
  - journals/sensors/LuiCH23
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  - https://dblp.org/rec/journals/sensors/LuiCH23
Andrew Kwok-Fai Lui, Yin-Hei Chan, Kevin Hung:
Functional Objects in Urban Walking Environments and Pedestrian Trajectory Modelling. Sensors 23(10): 4882 (2023)
2021
[j1]
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  - journals/bigdata/ChoiCLH21
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  - https://dblp.org/rec/journals/bigdata/ChoiCLH21
Samuel Ping-Man Choi, Yin-Hei Chan, Sze Sing Lam, Hie-Yiin Hung:
Analyzing the Importance of Broker Identities in the Limit Order Book Through Deep Learning. Big Data 9(2): 89-99 (2021)
[c4]
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  - conf/bigdataconf/LuiCL21
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Andrew Kwok-Fai Lui, Yin-Hei Chan, Man-Fai Leung:
Modelling of Destinations for Data-driven Pedestrian Trajectory Prediction in Public Buildings. IEEE BigData 2021: 1709-1717
[c3]
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  - conf/bigdataconf/ChanL21
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Yin-Hei Chan, Andrew Kwok-Fai Lui:
Leveraging data sampling patterns in data-driven traffic characteristic modeling. IEEE BigData 2021: 5871-5873
[c2]
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  - conf/csai/LuiCLCC21
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Andrew Kwok-Fai Lui, Yin-Hei Chan, Ka-Ho Lo, Wang-To Cheng, Hang-Tak Cheung:
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. CSAI 2021: 422-428
[c1]
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  - conf/smc/ChanLN21
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Yin-Hei Chan, Andrew Kwok-Fai Lui, Sin Chun Ng:
Short Term Traffic Flow Prediction with Neighbor Selecting Gated Recurrent Unit. SMC 2021: 857-862

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