Nonparametric Estimation of Large Spot Volatility Matrices for High-Frequency Financial Data

no code implementations • 3 Jul 2023 • Ruijun Bu, Degui Li, Oliver Linton, Hanchao Wang

In addition, we consider large spot volatility matrix estimation in time-varying factor models with observable risk factors and derive the uniform convergence property.

VQNet 2.0: A New Generation Machine Learning Framework that Unifies Classical and Quantum

no code implementations • 9 Jan 2023 • Huanyu Bian, Zhilong Jia, Menghan Dou, Yuan Fang, Lei LI, Yiming Zhao, Hanchao Wang, Zhaohui Zhou, Wei Wang, Wenyu Zhu, Ye Li, Yang Yang, Weiming Zhang, Nenghai Yu, Zhaoyun Chen, Guoping Guo

Therefore, based on VQNet 1. 0, we further propose VQNet 2. 0, a new generation of unified classical and quantum machine learning framework that supports hybrid optimization.

Quantum Machine Learning Unity

AGAN: Towards Automated Design of Generative Adversarial Networks

no code implementations • 25 Jun 2019 • Hanchao Wang, Jun Huan

Recent progress in Generative Adversarial Networks (GANs) has shown promising signs of improving GAN training via architectural change.

Image Classification Image Generation +1

DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks

2 code implementations • ICLR 2019 • Xingjian Li, Haoyi Xiong, Hanchao Wang, Yuxuan Rao, Li-Ping Liu, Zeyu Chen, Jun Huan

Instead of constraining the weights of neural network, DELTA aims to preserve the outer layer outputs of the target network.

Transfer Learning