Nanyang Ye

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Computer programming knowledge can be classified into five levels of abstraction: objective, conceptual, functional, logical, and physical. An experiment was carried out to determine whether the mastering of knowledge at different levels of abstraction changed with the level of skill. Ten experts and ten novices in C computer programming participated in the(More)
Minimizing non-convex and high-dimensional objective functions is challenging, especially when training modern deep neural networks. In this paper, a novel approach is proposed which divides the training process into two consecutive phases to obtain better generalization performance: Bayesian sampling and stochastic optimization. The first phase is to(More)
Coordinated multi-point(CoMP) transmission clustering schemes could provide significant gains of system performance, such as throughput and cell-edge user data rates. Due to limitations of the backhaul communication and signal processing capability of base stations(BSs), the intrinsic problem of CoMP is that the selection of which BSs shall cooperate as(More)
In this paper, we propose a novel gaze estimation method to evaluate the attention span of users upon on-screen content via a single webcam. Our method is based on supervised descent method for eye region of interest (ROI) extraction. Then, boost Gaussian Bayesian regressors are applied to learn a robust mapping from the input eye ROI to gaze coordinates.(More)
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