Hi! Jiahao Li / 黎嘉豪 here.
Email: jiahaoli57 [AT] 163.com
I am currently pursuing my Ph.D. in Management Science and Engineering at GDUT, advised by Prof. Yong Zhang. I work on machine learning, online algorithms and combinatorial optimization, and am interested in their applications in the field of quantitative finance. I got my B.A. in Management Science from GDUT in 2020, and am fortunate to have interned at GAC-SOFINCO Auto Finance.
Recently, I developed a widely used WeChat mini program called "ABS分区表", which has gained significant attention in the academic community.
Currently, I am actively seeking a postdoctoral or industry position where I can use machine learning to advance quantitative finance. I expect to graduate with my Ph.D. in June 2025.
Please feel free to contact me if you think our research interests may align. I can be reached via:

"Nothing great was ever achieved without enthusiasm."
News
- Forthcoming: Nominated for the 2024 Top 10 Postgraduates (12/14000+), provided by GDUT
- Mar. 2025: Invited to serve as a reviewer for Applied Intelligence
- Jan. 2025: Invited to serve as a reviewer for KDD 2025
- Jan. 2025: Invited to serve as a reviewer for Neural Networks
- Jan. 2025: Invited to serve as a reviewer for AOM 2025
- Dec. 2024: Invited to serve as a reviewer for IJCAI 2025
- Dec. 2024: Invited to serve as a reviewer for IJCNN 2025
- Nov. 2024: Awarded the 2023-2024 First-Class Excellent Student Scholarship, provided by GDUT
- Nov. 2024: We have updated the data of our mini program "ABS分区表" to the ABS2024 version [link]
Interesting Projects
「ABS分区表」
我们正在考虑将微信小程序「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。网页版和插件版将保留小程序版的所有功能并将在近期内发布。 [link]
「Call-for-Reviewers」
Welcome to the「Call-for-Reviewers」repository! This project aims to collect the latest "call for reviewers" links from various top CS/ML/AI conferences/journals. Participating as a reviewer is a great way to engage with the academic community, apply for NIW/H1B/EB1, enhance your CV, and stay updated with the latest research trends. [link]
Works
† denotes corresponding author
Portfolio selection via deep learning
- 张永, 黎嘉豪, 刘悦, 张卫国. "基于Transformer和关键特征的可解释端到端投资组合策略"
计量经济学报, 2024, 4(5): 1381-1407. (CSSCI, FMS-T2)
[PDF]
- 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. (SCI/SSCI Q1, CCF-B, ABS/AJG-2, ABDC-B, FMS-B, IF=7.4)
[PDF] [cite] [code]
- 张永, 刘悦, 黎嘉豪, 王晓辉. "端到端框架下基于LSTM和在线修正的适应性投资组合策略"
系统管理学报, 2024, 已录用. (国家自然科学基金委管理科学A类重要期刊, CSSCI, FMS-T2)
[PDF]
Portfolio selection via online learning
- Xingyu Yang, Xiaoteng Zheng, Jiahao Li†, and Qingmei Huang. "Aggregating closing position experts for online portfolio selection"
Applied Economics Letters, 2024. (SSCI Q3, ABDC-B, IF=1.2)
[PDF] [cite]
- Yong Zhang, Jiahao Li, Xingyu Yang, and Jianliang Zhang. "Competitive Online Strategy Based on Improved Exponential Gradient Expert and Aggregating Method"
Computational Economics, 2024, 74(8): 1940-1953. (SCI/SSCI Q2, ABDC-B, IF=1.9)
[PDF] [cite] [code]
- 杨兴雨, 张健良, 黎嘉豪, 张永. "基于集成专家意见的反转型在线投资组合策略研究"
运筹与管理, 2023, 已录用. (国家自然科学基金委管理科学A类重要期刊, CSSCI, FMS-T2)
[PDF]
- 林虹, 张永, 杨兴雨, 黎嘉豪. "考虑组合预测股价的泛证券投资组合选择策略"
管理工程学报, 2023, 37(5). (国家自然科学基金委管理科学A类重要期刊, CSSCI, FMS-T1)
[PDF]
Lease via online learning
- 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. (SCI Q3, ABS/AJG-2, IF=0.9)
[PDF] [cite] [code]
Academic Service
- Journal Reviewer: IEEE Transactions on Neural Networks and Learning Systems, Information Processing & Management, Neural Networks, Applied Intelligence, Finance Research Letters, Quantitative Finance (sub-reviewer), etc.
- Conference Reviewer: KDD 2025, AOM 2025, IJCAI 2025, IJCNN 2025, AAAI 2025, ICLR 2025, AISTATS 2025, IUI 2025, ICWSM 2025, IEEE VR 2025, NeurIPS 2023 (sub-reviewer).
Conferences/Seminars
2024
- The Second Guangdong-Hong Kong-Macao Greater Bay Area Digital Finance Forum (Guangzhou, China; Paper presentation: "A novel portfolio management system via sparse Transformer and deep reinforcement learning") [link]
- The 21th Conference on Financial Systems Engineering and Risk Management (Beijing, China) [link]
- The 13th Annual Conference of Financial Engineering and Financial Risk Management Branch of China Operations Research Society (Guangzhou, China) [link]
- Seminar by Prof. Lin William CONG, Cornell University. Topic: The Tokenomics of Staking (Hong Kong, China) [link]
2023
- The First Guangdong-Hong Kong-Macao Greater Bay Area Digital Finance Forum (Guangzhou, China) [link]
2020
- The 18th Conference on Financial Systems Engineering and Risk Management (Beijing, China) [link]
- 2020 Annual Academic Conference of Systems Engineering Society of Guangdong (Zhanjiang, China) [link]
Other Skills
Certified reviewer: IOP Peer Review Excellence training graduate; Native level Mandarin; Native level Cantonese; Professional level English: IELTS Certificate 7/9 (C1); Entry level diving: Snorkel diver, SSI certified