PhD Forum Program

Date: June 10, 2019 (Monday)
Venue: WLB109

Time Event
9:00am-9:40am Workshops/PhD Forum Joint Keynote 1
Mobile Data Management Meets Deep Learning
Wang-Chien Lee (Pennsylvania State University)
9:40am-10:20am Workshops/PhD Forum Joint Keynote 2
Enabling Mobile Applications and Mobile Data Analytics with Privacy
Li Xiong (Emory University)
10:45am-12:15pm Opening
Session 1: Non-Spatial Ingredients for Improving Spatial Queries
12:30pm-2:00pm Lunch
(Renfrew Restaurtant)
2:00pm-3:30pm Session 2: Spatial Intelligence for Smart Cities
3:30pm-4:00pm Tea Break
4:00pm-5:30pm Panel Discussion: PhD Student’s Job Hunting - Complementary Perspectives from both Senior Employers and Young Researchers

Panel Discussion: PhD Student’s Job Hunting - Complementary Perspectives from both Employers and Young Researchers (4:00pm-5:30pm)

  1. Panel
    1. Panelists from the Perspective of Employers

      Christian S. JENSEN
      Aalborg University

      Xing XIE
      Microsoft Research Asia

    2. Panelists from the Perspective of Young Researchers

      Cheng LONG
      Nanyang Technological University

      Jieming SHI
      National University of Singapore

      Victor Junqiu WEI
      Huawei Noah's Ark Lab
      (Speech and Language Computing Lab)

      Mingxuan YUAN
      Huawei Noah's Ark Lab
      (Enterprise Intelligence)

  2. Moderators:
    1. Raymond Chi-Wing WONG (Hong Kong University of Science and Technology)
    2. Xike XIE (University of Science and Technology of China)
       
  3. Description:

     The theme of this panel is "PhD Student’s Job Hunting - Complementary Perspectives from both Employers and Young Researchers". The objective of this panel is
    1. to invite employers to share their view and experience about recruiting fresh PhD graduates and young researchers
    2. to invite young researchers to share their view and experience about their PhD life and their job hunting

     Obtaining experience sharing from both employers and young researchers could provide a comprehensive picture of job hunting.

     Invited employers have different background, namely university background and research lab background. Invited young researchers have different backgrounds as follows, resulting in diverse experience sharing in the panel discussion.

    1. a young researcher working as an assistant professor
    2. a young researcher working as a PostDoc
    3. a young researcher working in an industry/research lab related to database
    4. a young researcher working in an industry/research lab related to AI

Session 1: Non-Spatial Ingredients for Improving Spatial Queries (10:45am-12:15pm)

The duration of a regular paper presentation is 10 minutes (presentation) + 5 minutes (Q&A) (in total, 15 minutes).
The duration of a short paper presentation is 5 minutes (presentation) + 2 minutes (Q&A) (in total, 7 minutes).

Session Chair: Raymond Chi-Wing WONG (Hong Kong University of Science and Technology)

  1. Regular Papers
    1. Paper 99     Social-Aware Ridesharing (Xiaoyi Fu (Baptist U))
    2. Paper 150   A Spatial Insight for UGC Apps: Fast Similarity Search on Keyword-Induced Point Groups (Zhe Li (HK PolyU))
    3. Paper 162   DURS: A Distributed Method for k-Nearest Neighbor Search on Uncertain Graphs (Xiaodong Li (HKU))
    4. Paper 164   A Framework for Constrained Graph Partitioning (Lefteris Ntaflos (HKUST))

  2. Short Papers
    1. Paper 76     A Review on Representation Learning in Spatio-temporal Data Mining (Kaven Sue (NUDT))
    2. Paper 152   Towards Usability on Reverse Top-k Geo-Social Keyword Query Results (Jin Pengfei (ZJU))
    3. Paper 158   Outdoor Localization Framework with Telco Data (Yige Zhang (Tongji U))

Session 2: Spatial Intelligence for Smart Cities (2:00pm-3:30pm)

The duration of a regular paper presentation is 10 minutes (presentation) + 5 minutes (Q&A) (in total, 15 minutes).
The duration of a short paper presentation is 5 minutes (presentation) + 2 minutes (Q&A) (in total, 7 minutes).

Session Chair: Xike XIE (University of Science and Technology of China)

  1. Regular Papers
    1. Paper 149   Attention based Stack ResNet for Citywide Traffic Accident Prediction (Zhengyang Zhou (USTC))
    2. Paper 151   Deep Learning Method for Citywide Crowd Flows Prediction (Genan Dai (SYSU))
    3. Paper 161   TCSC: A New Type Of Spatial Crowdsourcing (Ting Wang (USTC))
    4. Paper 163   Traffic Incident Detection: A Deep Learning Framework (Xiaolin Han (HKU))

  2. Short Papers
    1. Paper 103   Mining human mobility data and social media for smart ride sharing (Vinicius Cezar Monteiro de Lira (CNR-PISA))
    2. Paper 107   The use of citizen science in the characterization of the Lyon’s urban heat and cool islands (Alonso Ms Lucille (University of Lyon))
    3. Paper 141   Understanding Human Behavior through Sensory Data and Location Based Services (Gunarto Sindoro Njoo (National Chiao Tung U))
    4. Paper 153   A LSTM and Graph CNN Combined Network for Community House Price Forecasting (Chuancai Ge (USTC))


Sponsored by:
The Institute of Electrical and Electronics Engineers (IEEE)
Hong Kong Baptist University (HKBU)
Department of Computer Science, Hong Kong Baptist University
IEEE Technical Committee on Data Engineering (TCDE)
Croucher Foundation

Supported by:
Global eSolutions