Hongyang Yang

According to our database, Hongyang Yang authored at least 22 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• 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

Microkernel Goes General: Performance and Compatibility in the HongMeng Production Microkernel.

Haibo Chen, Xie Miao, Ning Jia, Nan Wang, Yu Li, Nian Liu, Yutao Liu, Fei Wang, Qiang Huang, Kun Li, Hongyang Yang, Hui Wang, Jie Yin, Yu Peng, Fengwei Xu

Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation, 2024

Enhancing Investment Analysis: Optimizing AI-Agent Collaboration in Financial Research.

Xuewen Han, Neng Wang, Shangkun Che, Hongyang Yang, Kunpeng Zhang, Sean Xin Xu

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

2023

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

Neng Wang, Hongyang Yang, Christina Dan Wang

CoRR, 2023

Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models.

Boyu Zhang, Hongyang Yang, Xiao-Yang Liu

CoRR, 2023

FinGPT: Open-Source Financial Large Language Models.

Hongyang Yang, Xiao-Yang Liu, Christina Dan Wang

CoRR, 2023

Optimal Energy Scheduling for Communities in Smart Microgrids with Multi-Agent Reinforcement Learning.

Hongyang Yang, Xun Shao, Go Hasegawa, Hiroshi Masui

Proceedings of the 14th IIAI International Congress on Advanced Applied Informatics, 2023

Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models.

Boyu Zhang, Hongyang Yang, Tianyu Zhou, Ali Babar, Xiao-Yang Liu

Proceedings of the 4th ACM International Conference on AI in Finance, 2023

Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract).

Aoran Wang, Hongyang Yang, Feng Mao, Zongzhang Zhang, Yang Yu, Xiaoyang Liu

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

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

Deep reinforcement learning for automated stock trading: an ensemble strategy.

Hongyang Yang, Xiao-Yang Liu, Shan Zhong, Anwar Walid

Proceedings of the ICAIF '20: The First ACM International Conference on AI in Finance, 2020

2019

DP-LSTM: Differential Privacy-inspired LSTM for Stock Prediction Using Financial News.

Xinyi Li, Yinchuan Li, Hongyang Yang, Liuqing Yang, Xiao-Yang Liu

CoRR, 2019

Practical Machine Learning Approach to Capture the Scholar Data Driven Alpha in AI Industry.

Yunzhe Fang, Xiao-Yang Liu, Hongyang Yang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Practical Deep Reinforcement Learning Approach for Stock Trading.

Zhuoran Xiong, Xiao-Yang Liu, Shan Zhong, Hongyang Yang, Anwar Walid

CoRR, 2018

A Practical Machine Learning Approach for Dynamic Stock Recommendation.

Hongyang Yang, Xiao-Yang Liu, Qingwei Wu

Proceedings of the 17th IEEE International Conference On Trust, 2018

2015

Dynamic wavelength sharing in Time and Wavelength Division Multiplexed PONs (TWDM-PONs).

Weiqiang Sun, Hongyang Yang, Jun Li, Weisheng Hu

Proceedings of the 17th International Conference on Transparent Optical Networks, 2015

2014

Energy Efficient TWDM Multi-PON System With Wavelength Relocation.

Hongyang Yang, Weiqiang Sun, Jun Li, Weisheng Hu

JOCN, 2014

Adaptive Registration in TWDM-PON With ONU Migrations.

Jun Li, Weiqiang Sun, Hongyang Yang, Weisheng Hu

JOCN, 2014