Thời gian: 14:00 - 16:00, ngày 04/06/2018 ( thứ 2)

Địa điểm: phòng F203

Nội dung:

Sharing Economy Research: Mobility and Incentives (GS.  Costas Courcoubetis)

Abstract: Uber and Grab are two successful sharing economy companies that offer ride-hailing services. These platforms allow any individual to obtain income by renting empty seats in her car. What are the long-term effects of such platforms? Will they reduce car ownership and make traffic lighter? Or more people will buy cars being able to subsidise the cost of the car by subscribing to the platforms? And many low-income people will give up their jobs and drive professionally, increasing road traffic? We present a game-theoretic methodology to answer such questions and discuss some of our findings.

Learning to Hash and Diagnose with Deep Neural Network (GS.  Ngai-Man Cheung)

Abstract: Recently, Deep Neural Network (DNN) has achieved breakthrough results in many natural language processing and computer vision problems. In this talk, I will discuss our research on DNN-based algorithms for learning compact hash code for image retrieval, discriminative features for skin cancer diagnosis, tissue parameters for diabetic wound assessment, and others. I will highlight our novel training methods for these problems.

Thông tin chi tiết về abstract và bio của 2 GS trong file đính kèm.

Bp.TLSV