| 9:00AM |
Opening Remarks |
| 9:10-11AM |
Parallel Sessions (7 min poster presentation + 8 min feedback) |
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Mentors:
Li Hang (Bytedance AI Lab)
Marc Najork (Google)
Alistair Moffat (Uni of Melbourne)
- Beyond Sessions: Exploiting Hybrid Contextual Information for Web Search.
Jia Chen, Tsinghua Univ.
(chenjia0831@gmail.com)
- Impact of Online Job Search and Job Reviews on Job Decision.
Faiz Ahamad, Tata Inst. of Social Sciences.
(mp2017mls017@tiss.edu)
- User Intent Inference for Web Search and Conversational Agents.
Ali Ahmadvand, Emory University.
(ali.ahmadvand@emory.edu)
|
Mentors:
Ravi Kumar (Google)
Vagelis Papalexakis (UC Riverside)
- Network Analysis with Negative Links.
Tyler Derr, Michigan State University.
(derrtyle@msu.edu)
- Temporal Pattern of Retweet(s) help to Maximize Information Diffusion in Twitter.
Ayan Kumar Bhowmick, IIT Kharagpur.
(ayankumarbhowmick@gmail.com)
- Learning from Heterogeneous Networks: Methods and Applications.
Chuxu Zhang, University of Notre Dame.
(czhang11@nd.edu)
|
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Coffee break (10:00-10:30AM)
|
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- Think like a human: constructing cognitive-oriented retrieval model for Web search.
Xiangsheng Li, Tsinghua University.
(lixsh6@gmail.com)
- Hybrid Utility Function for Unexpected Recommendations.
Pan Li, New York University.
(pli2@stern.nyu.edu)
|
- Overlapping Community Detection in Static and Dynamic Networks.
Renny Márquez, Universidad de Chile.
(marquezrennyj@ug.uchile.cl)
- Decision Boundary of Deep Neural Networks: Challenges and Opportunities.
Hamid Karimi, Michigan State University.
(karimiha@msu.edu)
|
| 11:05-11:50AM |
Panel on “Options after a PhD” (open to all conference attendees)
Panelists:
Li Hang (Bytedance AI Lab)
Ravi Kumar (Google)
Alistair Moffat (Uni of Melbourne)
Marc Najork (Google)
Vagelis Papalexakis (UC Riverside)
|
| 11:55-12:45PM |
Breakout sessions (2 DC participants + 1 mentor)
|
| 12:45-2:00PM |
Lunch break (not provided at the conference)
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