no code implementations • 13 Mar 2022 • Han Zhang, Zihao Zhang, Wenhao Zheng, Wei Xu
A major challenge in image segmentation is classifying object boundaries.
no code implementations • CVPR 2022 • Chongyang Zhong, Lei Hu, Zihao Zhang, Yongjing Ye, Shihong Xia
However, considering the variants and diverse action types in human motion data, the cross-dependency of the spatio-temporal relationships will be difficult to depict due to the decoupled modeling strategy, which may also exacerbate the problem of insufficient generalization.
no code implementations • 5 Dec 2021 • Qing Wang, Qing Liu, Zihao Zhang, HaoYu Fang, Xi Zheng
Artificial intelligence (AI) based device identification improves the security of the internet of things (IoT), and accelerates the authentication process.
no code implementations • 17 Nov 2021 • Chao Zhang, Zihao Zhang, Mihai Cucuringu, Stefan Zohren
The designed framework circumvents the traditional forecasting step and avoids the estimation of the covariance matrix, lifting the bottleneck for generalizing to a large amount of instruments.
1 code implementation • the Thirtieth International Joint Conference on Artificial Intelligence 2021 • Zihao Zhang, Lei Hu, Xiaoming Deng, Shihong Xia
In this paper, we present a new perspective on the 3D human pose estimation method from point cloud sequences.
Ranked #1 on
Pose Estimation
on ITOP front-view
no code implementations • 28 Jun 2021 • Zihao Zhang, Shaozuo Yu, Siwei Yang, Yu Zhou, Bingchen Zhao
This paper presents the Rail-5k dataset for benchmarking the performance of visual algorithms in a real-world application scenario, namely the rail surface defects detection task.
1 code implementation • 21 May 2021 • Zihao Zhang, Stefan Zohren
We design multi-horizon forecasting models for limit order book (LOB) data by using deep learning techniques.
no code implementations • 17 Feb 2021 • Zihao Zhang, Bryan Lim, Stefan Zohren
Market by order (MBO) data - a detailed feed of individual trade instructions for a given stock on an exchange - is arguably one of the most granular sources of microstructure information.
no code implementations • 17 Nov 2020 • Yinghui Li, Ruiyang Liu, Zihao Zhang, Ning Ding, Ying Shen, Linmi Tao, Hai-Tao Zheng
We also provide a theoretical explanation of our method.
no code implementations • 19 Oct 2020 • Xu sun, Zhenfeng Fan, Zihao Zhang, Yingjie Guo, Shihong Xia
The proposed framework achieves at least 40% improvement on stability evaluation metrics while enhancing detection accuracy versus state-of-the-art methods.
2 code implementations • 27 May 2020 • Zihao Zhang, Stefan Zohren, Stephen Roberts
We adopt deep learning models to directly optimise the portfolio Sharpe ratio.
no code implementations • 22 Nov 2019 • Zihao Zhang, Stefan Zohren, Stephen Roberts
We adopt Deep Reinforcement Learning algorithms to design trading strategies for continuous futures contracts.
3 code implementations • 10 Aug 2018 • Zihao Zhang, Stefan Zohren, Stephen Roberts
We develop a large-scale deep learning model to predict price movements from limit order book (LOB) data of cash equities.
Computational Finance