Search Results for author: Zihao Zhang

Found 13 papers, 4 papers with code

PNM: Pixel Null Model for General Image Segmentation

no code implementations13 Mar 2022 Han Zhang, Zihao Zhang, Wenhao Zheng, Wei Xu

A major challenge in image segmentation is classifying object boundaries.

Panoptic Segmentation

Spatio-Temporal Gating-Adjacency GCN for Human Motion Prediction

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.

Autonomous Driving Human motion prediction +1

Deep Open Set Identification for RF Devices

no code implementations5 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.

A Universal End-to-End Approach to Portfolio Optimization via Deep Learning

no code implementations17 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.

Portfolio Optimization

Rail-5k: a Real-World Dataset for Rail Surface Defects Detection

no code implementations28 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.

Multi-Horizon Forecasting for Limit Order Books: Novel Deep Learning Approaches and Hardware Acceleration using Intelligent Processing Units

1 code implementation21 May 2021 Zihao Zhang, Stefan Zohren

We design multi-horizon forecasting models for limit order book (LOB) data by using deep learning techniques.

Deep Learning for Market by Order Data

no code implementations17 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.

A Backbone Replaceable Fine-tuning Framework for Stable Face Alignment

no code implementations19 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.

Face Alignment

Deep Learning for Portfolio Optimization

2 code implementations27 May 2020 Zihao Zhang, Stefan Zohren, Stephen Roberts

We adopt deep learning models to directly optimise the portfolio Sharpe ratio.

Portfolio Optimization

Deep Reinforcement Learning for Trading

no code implementations22 Nov 2019 Zihao Zhang, Stefan Zohren, Stephen Roberts

We adopt Deep Reinforcement Learning algorithms to design trading strategies for continuous futures contracts.

reinforcement-learning Time Series

DeepLOB: Deep Convolutional Neural Networks for Limit Order Books

3 code implementations10 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

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