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Christina Dan Wang
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2020 – today
- 2024
- [j1]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): 2795-2839 (2024) - [i10]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 abs/2405.14767 (2024) - 2023
- [c4]Shuai Li, Ziqi Chen, Hongtu Zhu, Christina Dan Wang, Wang Wen:
Nearest-Neighbor Sampling Based Conditional Independence Testing. AAAI 2023: 8631-8639 - [c3]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 - [i9]Shuai Li, Ziqi Chen, Hongtu Zhu, Christina Dan Wang, Wang Wen:
Nearest-Neighbor Sampling Based Conditional Independence Testing. CoRR abs/2304.04183 (2023) - [i8]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 abs/2304.13174 (2023) - [i7]Hongyang Yang, Xiao-Yang Liu, Christina Dan Wang:
FinGPT: Open-Source Financial Large Language Models. CoRR abs/2306.06031 (2023) - [i6]Neng Wang, Hongyang Yang, Christina Dan Wang:
FinGPT: Instruction Tuning Benchmark for Open-Source Large Language Models in Financial Datasets. CoRR abs/2310.04793 (2023) - 2022
- [c2]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 - [i5]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 abs/2209.05559 (2022) - 2021
- [c1]Xiao-Yang Liu, Hongyang Yang, Jiechao Gao, Christina Dan Wang:
FinRL: deep reinforcement learning framework to automate trading in quantitative finance. ICAIF 2021: 1:1-1:9 - [i4]Xiao-Yang Liu, Hongyang Yang, Jiechao Gao, Christina Dan Wang:
FinRL: Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. CoRR abs/2111.09395 (2021) - [i3]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 abs/2112.06753 (2021) - 2020
- [i2]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 abs/2011.09607 (2020)
2010 – 2019
- 2019
- [i1]Xinyi Li, Yinchuan Li, Xiao-Yang Liu, Christina Dan Wang:
Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction. CoRR abs/1908.01112 (2019)
Coauthor Index
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