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)
- Panel
- Panelists from the Perspective of Employers
Christian S. JENSEN
Aalborg University
Xing XIE
Microsoft Research Asia
- 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)
- Moderators:
- Raymond Chi-Wing WONG (Hong Kong University of Science and Technology)
- Xike XIE (University of Science and Technology of China)
- 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
- to invite employers to share their view and experience about recruiting fresh PhD graduates and young researchers
- 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.
- a young researcher working as an assistant professor
- a young researcher working as a PostDoc
- a young researcher working in an industry/research lab related to database
- 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)
- Regular Papers
- Paper 99 Social-Aware Ridesharing (Xiaoyi Fu (Baptist U))
- Paper 150 A Spatial Insight for UGC Apps: Fast Similarity Search on Keyword-Induced Point Groups (Zhe Li (HK PolyU))
- Paper 162 DURS: A Distributed Method for k-Nearest Neighbor Search on Uncertain Graphs (Xiaodong Li (HKU))
- Paper 164 A Framework for Constrained Graph Partitioning (Lefteris Ntaflos (HKUST))
- Short Papers
- Paper 76 A Review on Representation Learning in Spatio-temporal Data Mining (Kaven Sue (NUDT))
- Paper 152 Towards Usability on Reverse Top-k Geo-Social Keyword Query Results (Jin Pengfei (ZJU))
- 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)
- Regular Papers
- Paper 149 Attention based Stack ResNet for Citywide Traffic Accident Prediction (Zhengyang Zhou (USTC))
- Paper 151 Deep Learning Method for Citywide Crowd Flows Prediction (Genan Dai (SYSU))
- Paper 161 TCSC: A New Type Of Spatial Crowdsourcing (Ting Wang (USTC))
- Paper 163 Traffic Incident Detection: A Deep Learning Framework (Xiaolin Han (HKU))
- Short Papers
- Paper 103 Mining human mobility data and social media for smart ride sharing (Vinicius Cezar Monteiro de Lira (CNR-PISA))
- 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))
- Paper 141 Understanding Human Behavior through Sensory Data and Location Based Services (Gunarto Sindoro Njoo (National Chiao Tung U))
- Paper 153 A LSTM and Graph CNN Combined Network for Community House Price Forecasting (Chuancai Ge (USTC))