Hongyang Yang - RankMe

30 papers A* 3Journal 19Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading. CoRR Hongyang Yang, Boyu Zhang, Yang She, Xinyu Liao, Xiaoli Zhang
2025	J	`jnl`	FinRobot: Generative Business Process AI Agents for Enterprise Resource Planning in Finance. CoRR Hongyang Yang, Likun Lin, Yang She, Xinyu Liao, Jiaoyang Wang, Runjia Zhang, Yuquan Mo, Christina Dan Wang
2024	J	`jnl`	Dynamic datasets and market environments for financial reinforcement learning. Mach. Learn. Xiao-Yang Liu, Ziyi Xia, Hongyang Yang, Jiechao Gao, Daochen Zha, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo
2024	—	`conf`	Enhancing Investment Analysis: Optimizing AI-Agent Collaboration in Financial Research. ICAIF Xuewen Han, Neng Wang, Shangkun Che, Hongyang Yang, Kunpeng Zhang, Sean Xin Xu
2024	J	`jnl`	Enhancing Investment Analysis: Optimizing AI-Agent Collaboration in Financial Research. CoRR Xuewen Han, Neng Wang, Shangkun Che, Hongyang Yang, Kunpeng Zhang, Sean Xin Xu
2024	J	`jnl`	FinGPT: Enhancing Sentiment-Based Stock Movement Prediction with Dissemination-Aware and Context-Enriched LLMs. CoRR Yixuan Liang, Yuncong Liu, Boyu Zhang, Christina Dan Wang, Hongyang Yang
2024	J	`jnl`	FinRobot: AI Agent for Equity Research and Valuation with Large Language Models. CoRR Tianyu Zhou, Pinqiao Wang, Yilin Wu, Hongyang Yang
2024	J	`jnl`	FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models. CoRR Hongyang Yang, Boyu Zhang, Neng Wang, Cheng Guo, Xiaoli Zhang, Likun Lin, Junlin Wang, Tianyu Zhou, Mao Guan, Runjia Zhang, Christina Dan Wang
2024	A*	`conf`	Microkernel Goes General: Performance and Compatibility in the HongMeng Production Microkernel. OSDI 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
2023	A*	`conf`	Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract). AAAI Aoran Wang, Hongyang Yang, Feng Mao, Zongzhang Zhang, Yang Yu, Xiaoyang Liu
2023	J	`jnl`	Dynamic Datasets and Market Environments for Financial Reinforcement Learning. CoRR Xiao-Yang Liu, Ziyi Xia, Hongyang Yang, Jiechao Gao, Daochen Zha, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo
2023	—	`conf`	Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models. ICAIF Boyu Zhang, Hongyang Yang, Tianyu Zhou, Ali Babar, Xiao-Yang Liu
2023	J	`jnl`	Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models. CoRR Boyu Zhang, Hongyang Yang, Tianyu Zhou, Ali Babar, Xiao-Yang Liu
2023	J	`jnl`	FinGPT: Instruction Tuning Benchmark for Open-Source Large Language Models in Financial Datasets. CoRR Neng Wang, Hongyang Yang, Christina Dan Wang
2023	J	`jnl`	FinGPT: Open-Source Financial Large Language Models. CoRR Hongyang Yang, Xiao-Yang Liu, Christina Dan Wang
2023	J	`jnl`	Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models. CoRR Boyu Zhang, Hongyang Yang, Xiao-Yang Liu
2023	—	`conf`	Optimal Energy Scheduling for Communities in Smart Microgrids with Multi-Agent Reinforcement Learning. IIAI-AAI Hongyang Yang, Xun Shao, Go Hasegawa, Hiroshi Masui
2022	A*	`conf`	FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning. NeurIPS Xiao-Yang Liu, Ziyi Xia, Jingyang Rui, Jiechao Gao, Hongyang Yang, Ming Zhu, Christina Dan Wang, Zhaoran Wang, Jian Guo
2021	J	`jnl`	FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance. CoRR Xiao-Yang Liu, Jingyang Rui, Jiechao Gao, Liuqing Yang, Hongyang Yang, Zhaoran Wang, Christina Dan Wang, Jian Guo
2021	J	`jnl`	FinRL: Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. CoRR Xiao-Yang Liu, Hongyang Yang, Jiechao Gao, Christina Dan Wang
2021	—	`conf`	FinRL: deep reinforcement learning framework to automate trading in quantitative finance. ICAIF Xiao-Yang Liu, Hongyang Yang, Jiechao Gao, Christina Dan Wang
2020	—	`conf`	Deep reinforcement learning for automated stock trading: an ensemble strategy. ICAIF Hongyang Yang, Xiao-Yang Liu, Shan Zhong, Anwar Walid
2020	J	`jnl`	FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance. CoRR Xiao-Yang Liu, Hongyang Yang, Qian Chen, Runjia Zhang, Liuqing Yang, Bowen Xiao, Christina Dan Wang
2019	J	`jnl`	DP-LSTM: Differential Privacy-inspired LSTM for Stock Prediction Using Financial News. CoRR Xinyi Li, Yinchuan Li, Hongyang Yang, Liuqing Yang, Xiao-Yang Liu
2019	—	`conf`	Practical Machine Learning Approach to Capture the Scholar Data Driven Alpha in AI Industry. IEEE BigData Yunzhe Fang, Xiao-Yang Liu, Hongyang Yang
2018	—	`conf`	A Practical Machine Learning Approach for Dynamic Stock Recommendation. TrustCom/BigDataSE Hongyang Yang, Xiao-Yang Liu, Qingwei Wu
2018	J	`jnl`	Practical Deep Reinforcement Learning Approach for Stock Trading. CoRR Zhuoran Xiong, Xiao-Yang Liu, Shan Zhong, Hongyang Yang, Anwar Walid
2015	—	`conf`	Dynamic wavelength sharing in Time and Wavelength Division Multiplexed PONs (TWDM-PONs). ICTON Weiqiang Sun, Hongyang Yang, Jun Li, Weisheng Hu
2014	J	`jnl`	Adaptive Registration in TWDM-PON With ONU Migrations. JOCN Jun Li, Weiqiang Sun, Hongyang Yang, Weisheng Hu
2014	J	`jnl`	Energy Efficient TWDM Multi-PON System With Wavelength Relocation. JOCN Hongyang Yang, Weiqiang Sun, Jun Li, Weisheng Hu