jiahaoli57
Ph.D. student. My research interests include machine learning, online algorithms and combinatorial optimization.
Guangdong University of TechnologyGuangzhou
Pinned Repositories
ABSTable
我们正在将ABS分区表拓展成网页版和插件版，旨在为用户提供更方便、更灵活的使用体验。
AIEG
Yong Zhang, Jiahao Li, Xingyu Yang, and Jianliang Zhang. "Competitive online strategy based on improved exponential gradient expert and aggregating method" Computational Economics, 2023.
CAEGc
Yong Zhang, Jiahao Li, Xingyu Yang, and Hong Lin. "Aggregating exponential gradient expert advice for online portfolio selection under transaction costs" Journal of the Operational Research Society, , 2023, 74(8): 1940-1953.
Call-for-Reviewers
This project aims to collect the latest "call for reviewers" links from various top CS/ML/AI conferences/journals
CPPT
Yong Zhang, Hong Lin, Jiahao Li, and Xingyu Yang. "Combined peak price tracking strategies for online portfolio selection based on the meta-algorithm" Journal of the Operational Research Society, 2023.
FinOL
GDUT-Beamer-Template
广东工业大学 PPT 模板 \\ A GDUT LaTeX beamer template based on PKU beamer template
jiahaoli57
Config files for my GitHub profile.
Lease-or-financial-lease
Yong Zhang, Jiahao Li, Xingyu Yang, and Xiaohui Wang. "Lease or financial lease? Deterministic strategies for on-line financial lease problem with the second-hand transaction" Journal of Combinatorial Optimization, 2022, 44(2): 1248-1264.
LSRE-CAAN
Jiahao Li, Yong Zhang, Xingyu Yang, and Liangwei Chen. "Online portfolio management via deep reinforcement learning with high-frequency data" Information Processing & Management, 2023, 60(3): 103247.
jiahaoli57's Repositories
jiahaoli57/Call-for-Reviewers
This project aims to collect the latest "call for reviewers" links from various top CS/ML/AI conferences/journals
jiahaoli57/LSRE-CAAN
Jiahao Li, Yong Zhang, Xingyu Yang, and Liangwei Chen. "Online portfolio management via deep reinforcement learning with high-frequency data" Information Processing & Management, 2023, 60(3): 103247.
jiahaoli57/ABSTable
我们正在将ABS分区表拓展成网页版和插件版，旨在为用户提供更方便、更灵活的使用体验。
jiahaoli57/FinOL
jiahaoli57/CAEGc
Yong Zhang, Jiahao Li, Xingyu Yang, and Hong Lin. "Aggregating exponential gradient expert advice for online portfolio selection under transaction costs" Journal of the Operational Research Society, , 2023, 74(8): 1940-1953.
jiahaoli57/CPPT
Yong Zhang, Hong Lin, Jiahao Li, and Xingyu Yang. "Combined peak price tracking strategies for online portfolio selection based on the meta-algorithm" Journal of the Operational Research Society, 2023.
jiahaoli57/GDUT-Beamer-Template
广东工业大学 PPT 模板 \\ A GDUT LaTeX beamer template based on PKU beamer template
jiahaoli57/Lease-or-financial-lease
Yong Zhang, Jiahao Li, Xingyu Yang, and Xiaohui Wang. "Lease or financial lease? Deterministic strategies for on-line financial lease problem with the second-hand transaction" Journal of Combinatorial Optimization, 2022, 44(2): 1248-1264.
jiahaoli57/AIEG
Yong Zhang, Jiahao Li, Xingyu Yang, and Jianliang Zhang. "Competitive online strategy based on improved exponential gradient expert and aggregating method" Computational Economics, 2023.
jiahaoli57/jiahaoli57
Config files for my GitHub profile.
jiahaoli57/jiahaoli57.github.io
jiahaoli57/ai4finol.github.io
jiahaoli57/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
jiahaoli57/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
jiahaoli57/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
jiahaoli57/awesome-fairness-in-ai
A curated list of awesome Fairness in AI resources
jiahaoli57/financial-machine-learning
A curated list of practical financial machine learning tools and applications.
jiahaoli57/gdutthesis
广东工业大学 LaTeX 论文模板
jiahaoli57/Nonstationary_Transformers
Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415
jiahaoli57/odmd
AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)
jiahaoli57/perceiver-pytorch
Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch
jiahaoli57/PGPortfolio
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
jiahaoli57/qlib
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies.
jiahaoli57/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
jiahaoli57/RLTrader
A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
jiahaoli57/stock-analysis
使用python进行股票分析和选股
jiahaoli57/ta-lib-python
Python wrapper for TA-Lib (http://ta-lib.org/).
jiahaoli57/The-Anton.github.io
jiahaoli57/tianshou
An elegant PyTorch deep reinforcement learning library.
jiahaoli57/TradeMaster
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow: