Ziping Jiang Email & Phone Number

London, England, United Kingdom

Lancaster, United Kingdom

• Research Direction: Artificial Intelligence, Pattern Recognition, Deep Learning.• In responsible for an autonomous driving project funded by Huawei Tech Co., Ltd: ◦ Implement generative model to fill up unbalanced real-time road dataset. ◦ Improve the detection accuracy of vision sensor on autonomous vehicle with the generated data by 5%~8%. ◦ Patent under review by China National Intellectual Property Administration.• Explain the expressive ability and… Show more • Research Direction: Artificial Intelligence, Pattern Recognition, Deep Learning.• In responsible for an autonomous driving project funded by Huawei Tech Co., Ltd: ◦ Implement generative model to fill up unbalanced real-time road dataset. ◦ Improve the detection accuracy of vision sensor on autonomous vehicle with the generated data by 5%~8%. ◦ Patent under review by China National Intellectual Property Administration.• Explain the expressive ability and robustness of deep learning models with statistics and functional analysis.• Deploy AI models to practical problems: ◦ Detect laboratory animal social behaviors for gene typing with convolutional neural network. ◦ Estimate brain age/ diagnose dilated cardiomyopathy with ensemble learning. ◦ Classify sentiment in text from Twitter and blogs with transformer attention recurrent neural network. Show less

Shenzhen, Guangdong, China

• Implement and back test ticker driven strategies on historical data of commodities (C#).• Collect data and establish multi-factor asset pricing model on Chinese stock market: ◦ Explore the validity of over 20 risk factors at different time scale. ◦ Detect pricing anomalies across different market environments.• Participate in the development of an open-source financial data interface: ◦ Responsible for packing real-time tick-by-tick data into user-defined… Show more • Implement and back test ticker driven strategies on historical data of commodities (C#).• Collect data and establish multi-factor asset pricing model on Chinese stock market: ◦ Explore the validity of over 20 risk factors at different time scale. ◦ Detect pricing anomalies across different market environments.• Participate in the development of an open-source financial data interface: ◦ Responsible for packing real-time tick-by-tick data into user-defined candlestick data. Show less

Nanjing, Jiangsu, China

• Detecting financial bubbles with Adaptive HMM and SVM ◦ Decomposed time series data into wavelet series at different scales. ◦ Adopted a sliding window to capture the non-stationary change of the market. ◦ Estimated the probability density function of time series using Gaussian Mixture Modelling (GMM) with an anomaly state. ◦ An Adoptive Hidden Markov Model (AHMM) is trained with the observed features and used to predict the hidden states of the following… Show more • Detecting financial bubbles with Adaptive HMM and SVM ◦ Decomposed time series data into wavelet series at different scales. ◦ Adopted a sliding window to capture the non-stationary change of the market. ◦ Estimated the probability density function of time series using Gaussian Mixture Modelling (GMM) with an anomaly state. ◦ An Adoptive Hidden Markov Model (AHMM) is trained with the observed features and used to predict the hidden states of the following sequences. ◦ A Support Vector Machine (SVM) is trained with the hidden states provided by AHMM and used to predict financial bubbles. Show less

Ph.D. In Computer Science (Full Time), Artificial Intelligence

Activities and Societies: Teaching Assistant, Research Assistant Publications: 1) Jiang, Ziping, et al. "Social behavioral phenotyping.

Ph.D. In Applied Economics And Finance (Part-Time), Asset Pricing, Behavioural Finance

Publications: 1) Effect of heterogeneous beliefs on asset overvaluation. Evidence from the Chinese stock market. - Submitted.

Bachelor Of Science - Bs, Mathematics And Computer Science

- Delivered seminars within LAMDA Research Group, topics including reinforcement learning, game theory, and artificial neural network.