Christina Dan Wang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Reinforcement Learning

Conditional Independence

Top Venues

Publications

Hongyang Yang, Boyu Zhang, Neng Wang, Cheng Guo, Xiaoli Zhang, Likun Lin, Junlin Wang, Tianyu Zhou, Mao Guan, Runjia Zhang, Christina Dan Wang
FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models. CoRR (2024)
Xiao-Yang Liu, Ziyi Xia, Hongyang Yang, Jiechao Gao, Daochen Zha, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo
Dynamic datasets and market environments for financial reinforcement learning. Mach. Learn. 113 (5) (2024)
Neng Wang, Hongyang Yang, Christina Dan Wang
FinGPT: Instruction Tuning Benchmark for Open-Source Large Language Models in Financial Datasets. CoRR (2023)
Shuai Li, Ziqi Chen, Hongtu Zhu, Christina Dan Wang, Wang Wen
Nearest-Neighbor Sampling Based Conditional Independence Testing. AAAI (2023)
Xiao-Yang Liu, Ziyi Xia, Hongyang Yang, Jiechao Gao, Daochen Zha, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo
Dynamic Datasets and Market Environments for Financial Reinforcement Learning. CoRR (2023)
Shuai Li, Ziqi Chen, Hongtu Zhu, Christina Dan Wang, Wang Wen
Nearest-Neighbor Sampling Based Conditional Independence Testing. CoRR (2023)
Hongyang Yang, Xiao-Yang Liu, Christina Dan Wang
FinGPT: Open-Source Financial Large Language Models. CoRR (2023)
Shuai Li, Yingjie Zhang, Hongtu Zhu, Christina Dan Wang, Hai Shu, Ziqi Chen, Zhuoran Sun, Yanfeng Yang
K-Nearest-Neighbor Local Sampling Based Conditional Independence Testing. NeurIPS (2023)
Berend Jelmer Dirk Gort, Xiao-Yang Liu, Xinghang Sun, Jiechao Gao, Shuaiyu Chen, Christina Dan Wang
Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting. CoRR (2022)
Xiao-Yang Liu, Ziyi Xia, Jingyang Rui, Jiechao Gao, Hongyang Yang, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo
FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning. NeurIPS (2022)
Xiao-Yang Liu, Hongyang Yang, Jiechao Gao, Christina Dan Wang
FinRL: Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. CoRR (2021)
Xiao-Yang Liu, Jingyang Rui, Jiechao Gao, Liuqing Yang, Hongyang Yang, Zhaoran Wang, Christina Dan Wang, Jian Guo
FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance. CoRR (2021)
Xiao-Yang Liu, Hongyang Yang, Jiechao Gao, Christina Dan Wang
FinRL: deep reinforcement learning framework to automate trading in quantitative finance. ICAIF (2021)
Xiao-Yang Liu, Hongyang Yang, Qian Chen, Runjia Zhang, Liuqing Yang, Bowen Xiao, Christina Dan Wang
FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance. CoRR (2020)
Xinyi Li, Yinchuan Li, Xiao-Yang Liu, Christina Dan Wang
Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction. CoRR (2019)