Christina Dan Wang

According to our database, Christina Dan Wang authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Dynamic datasets and market environments for financial reinforcement learning.

Xiao-Yang Liu, Ziyi Xia, Hongyang Yang, Jiechao Gao, Daochen Zha, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo

Mach. Learn., May, 2024

FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models.

Hongyang Yang, Boyu Zhang, Neng Wang, Cheng Guo, Xiaoli Zhang, Likun Lin, Junlin Wang, Tianyu Zhou, Mao Guan, Runjia Zhang, Christina Dan Wang

CoRR, 2024

2023

FinGPT: Instruction Tuning Benchmark for Open-Source Large Language Models in Financial Datasets.

Neng Wang, Hongyang Yang, Christina Dan Wang

CoRR, 2023

FinGPT: Open-Source Financial Large Language Models.

Hongyang Yang, Xiao-Yang Liu, Christina Dan Wang

CoRR, 2023

K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing.

Shuai Li, Yingjie Zhang, Hongtu Zhu, Christina Dan Wang, Hai Shu, Ziqi Chen, Zhuoran Sun, Yanfeng Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Nearest-Neighbor Sampling Based Conditional Independence Testing.

Shuai Li, Ziqi Chen, Hongtu Zhu, Christina Dan Wang, Wang Wen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting.

Berend Jelmer Dirk Gort, Xiao-Yang Liu, Xinghang Sun, Jiechao Gao, Shuaiyu Chen, Christina Dan Wang

CoRR, 2022

FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning.

Xiao-Yang Liu, Ziyi Xia, Jingyang Rui, Jiechao Gao, Hongyang Yang, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance.

Xiao-Yang Liu, Jingyang Rui, Jiechao Gao, Liuqing Yang, Hongyang Yang, Zhaoran Wang, Christina Dan Wang, Jian Guo

CoRR, 2021

FinRL: deep reinforcement learning framework to automate trading in quantitative finance.

Xiao-Yang Liu, Hongyang Yang, Jiechao Gao, Christina Dan Wang

Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

2020

FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance.

Xiao-Yang Liu, Hongyang Yang, Qian Chen, Runjia Zhang, Liuqing Yang, Bowen Xiao, Christina Dan Wang

CoRR, 2020

2019

Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction.

Xinyi Li, Yinchuan Li, Xiao-Yang Liu, Christina Dan Wang

CoRR, 2019