HKUST-EPFL Workshop on Data Science
Dec 2, Tue, LTF, 9:15am-5:15pm
HKUST-EPFL Workshop on Data Science
Dec 2, Tue, LTF, 9:15am-5:15pm
9:15am-10:00am
“Sensor-based Personalized Wellness Applications”, Pearl Pu
10:00am-10:30am
“Probabilistic Graphical Models for Boosting Cardinal and Ordinal Peer Grading in MOOCs”, Fei Mi
10:30am-11:00am
Break
11:00am-11:30am
“Mobile Augmented Reality”, Arailym Butabayeva & Zhanpeng Huang
11:30am-12:00nn
“Asynchronous Distributed ADMM for Large-scale Learning with Parameter Server”, Ruiliang Zhang
12:00nn- 12:30pm
“Relational Stacked Denoising Autoencoder for Tag Recommendation”, Hao Wang
12:30pm-2:00pm
Lunch
2:00pm-2:45pm
“Eliciting Truthful Information from an Open Community”, Boi Faltings
2:45pm-3:15pm
“A Hidden Market Approach for Trusted Mobile Ambient Computing”, Dimitris Chatzopoulos
3:15pm-3:45pm
Break
3:45pm-4:15pm
“Privacy by Design in Mobile Computing”, Muhammad Haris Mughees
4:15pm-4:45pm
“Where To: CrowdAided Path Selection”, Chen Jason Zhang
4:45pm-5:15pm
“Hear the Whole Story: Towards the Diversity of Opinion in Crowdsourcing Markets”, Ting Wu