14 citations · 26 across the 5 of their papers we have counts for
5 papers
DVM-CAR: A large-scale automotive dataset for visual marketing research and applications
Jingmin Huang, Bowei Chen, Lan Luo +2
There is a growing interest in product aesthetics analytics and design. However, the lack of available large-scale data that covers various variables and information is one of the…
Learning Robust Variational Information Bottleneck with Reference
Weizhu Qian, Bowei Chen, Xiaowei Huang
We propose a new approach to train a variational information bottleneck (VIB) that improves its robustness to adversarial perturbations. Unlike the traditional methods where the ha…
Multi-Task Variational Information Bottleneck
Weizhu Qian, Bowei Chen, Yichao Zhang +2
Multi-task learning (MTL) is an important subject in machine learning and artificial intelligence. Its applications to computer vision, signal processing, and speech recognition ar…
Index Tracking with Cardinality Constraints: A Stochastic Neural Networks Approach
Yu Zheng, Bowei Chen, Timothy M. Hospedales +1
Partial (replication) index tracking is a popular passive investment strategy. It aims to replicate the performance of a given index by constructing a tracking portfolio which cont…
Incorporating prior financial domain knowledge into neural networks for implied volatility surface prediction
Yu Zheng, Yongxin Yang, Bowei Chen
In this paper we develop a novel neural network model for predicting implied volatility surface. Prior financial domain knowledge is taken into account. A new activation function t…