I am still actively writing code on the front lines of software development, including Python (neural network design, databases, cvx optimization, Django), C++ (network protocols), and Java (teaching), all with the enthusiastic assistance of Claude Code, of course.

So, 

===== Although my abilities are limited: I am currently primarily recruiting professional master's students in Computer Technology and Artificial Intelligence, hoping to provide some assistance in helping students realize their dreams. ======

Some Graduates and Their Destinations

2010 Liu Jie China Merchants Fund
2021 Bai Xzhe China Construction Bank Fintech
2022 Chen Xwei Huawei Strategic Investment Department
2023 Zhong Xyang Bao'an Education Bureau
2024 Deng Xlan SGDI
2024 Tian Xhao Tencent Technology

Some Personal History:

Graduated with a PhD in Computer Applications from South China University of Technology (research direction: Software Engineering). Currently an Associate Professor at the College of Computer Science and Software Engineering, Shenzhen University.

Main research areas include Financial Trading Algorithms, Convex Optimization Algorithms and Stochastic Analysis, Deep Reinforcement Learning, and Software Engineering.

Awarded the Outstanding Instructor Award at the 5th "Huawei Cup" China Graduate AI Innovation Competition 2023, Instructor of the Global Champion Team for Task 1 of the FinRL Competition at ACM ICAIF 2023 (AI Trading Algorithms), and recipient of the Excellent Product Award for the i-nice Novel Clustering Analysis Software at the 22nd China International High-Tech Fair.

Currently serving as Deputy Director of the "Shenzhen University - SGDI Industrial IoT Big Data AI Joint Institute" and Director of the "I-nice Algorithm Research Center."

Has led and participated in numerous Shenzhen municipal and national-level scientific research projects, as well as various corporate horizontal projects. Authored over 30 SCI/EI academic papers.
     

Shenzhen University - SGDI Industrial IoT Big Data AI Joint Institute

Inauguration Ceremony

Institute Address: Zhizhen Building L6-611

Institute Nameplate

Institute's Three-Year Work Objectives
 

I. Selected Publications

1. Financial Trading Algorithms

[1] Shiyang Hao, Yi Liu, Hanyu Yang, Junjie Liu, and Jianfei Yin*. "An Incremental Learning Approach for Micro-credit Approval." The 13th IEEE International Conference on Big Data (IEEE BigData 2025), Macau SAR, China, 2025

[2] Song, Jianzeng, Senjie Xia, Yong Zhang, Jie Wei, and Jianfei Yin*. "When Coordinated Knowledge Distillation Meets Mixture of Expert Inference: Insights from Portfolio Optimization." International Conference on Intelligent Computing. Ningbo, China, 2025.

[3] Yin, Jianfei, Anyang Zhong, Xiaomian Xiao, Ruili Wang, and Joshua Zhexue Huang. "An asset subset-constrained minimax optimization framework for online portfolio selection." Expert Systems with Applications 254 (2024): 124299.

[4] Chao, Kaiyin, Jing Peng, Xiaomian Xiao, Jinglan Deng, Hanyu Yang, and Jianfei Yin*. "GA-MEPS: Multiple Experts Portfolio Selection Based on Genetic Algorithm." In International Conference on Knowledge Science, Engineering and Management, pp. 123-133. Singapore: Springer Nature Singapore, 2024.

[5] Peng, Jing, Kaiyin Chao, Geying Chen, and Jianfei Yin*. "An Online Portfolio Selection Algorithm with Dynamic Coreset Construction." In International Conference on Knowledge Science, Engineering and Management, pp. 27-37. Singapore: Springer Nature Singapore, 2024.

[6] Chen, Geying, Anyang Zhong, Jing Peng, and Jianfei Yin*. "STM: An Improved Peak Price Tracking-Based Online Portfolio Selection Algorithm." In International Conference on Knowledge Science, Engineering and Management, pp. 347-359. Singapore: Springer Nature Singapore, 2024.

[7] Xie, Kailin, Jianfei Yin, Hengyong Yu, Hong Fu, and Ying Chu. "Passive aggressive ensemble for online portfolio selection." Mathematics 12, no. 7 (2024): 956.

[8] Yin, Jianfei, Ruili Wang, Yeqing Guo, Yizhe Bai, Shunda Ju, Weili Liu, and Joshua Zhexue Huang. "Wealth flow model: online portfolio selection based on learning wealth flow matrices." ACM Transactions on Knowledge Discovery from Data (TKDD) 16, no. 2 (2021): 1-27.

[9] Bai, Yizhe, Jianfei Yin*, Shunda Ju, Zhao Chen, and Joshua Zhexue Huang. "Long and short term risk control for online portfolio selection." In International conference on knowledge science, engineering and management, pp. 472-480. Cham: Springer International Publishing, 2020.

[10] Yin, Jianfei, Ruili Wang, Shunda Ju, Yizhe Bai, and Joshua Zhexue Huang. "An asymptotic statistical learning algorithm for prediction of key trading events." IEEE Intelligent Systems 35, no. 2 (2020): 25-35.

2. Big Data Analytics

[1] Yong Zhang, Jianzeng Song, Senjie Xia and Jianfei Yin*. "A Reward-Model-Guided Parameter Tuning Framework for Optical Cable Manufacturing Optimization", The 13th IEEE International Conference on Big Data (IEEE BigData 2025), Macau SAR, China, 2025

[2] Yang, Hanyu, Xiaohui Pan, Jinglan Deng, and Jianfei Yin*. "An Effective RSP Data Sampling Algorithm." In International Conference on Knowledge Science, Engineering and Management, pp. 331-342. Singapore: Springer Nature Singapore, 2024.

[3] Pan, Xiaohui, Jinglan Deng, Hanyu Yang, Jing Peng, and Jianfei Yin*. "DPSPC: A Density Peak-Based Statistical Parallel Clustering Algorithm for Big Data." In International Conference on Knowledge Science, Engineering and Management, pp. 292-304. Singapore: Springer Nature Singapore, 2024.

[4] Deng, Jinglan, Xiaohui Pan, Hanyu Yang, and Jianfei Yin*. "Variational Loss of Random Sampling for Searching Cluster Number." In International Conference on Knowledge Science, Engineering and Management, pp. 130-143. Singapore: Springer Nature Singapore, 2024.

[5] Valiullin, Timur, Zhexue Joshua Huang, Chenghao Wei, Jianfei Yin, Dingming Wu, and Iuliia Egorova. "A new approximate method for mining frequent itemsets from big data." Computer Science and Information Systems 18, no. 3 (2021): 641-656.

3. Software Engineering

[1] Xiao, Zhijiao, Zhong Ming, and Jianfei Yin. "Optimization of workflow pre-scheduling based on nested genetic algorithm." In 2010 Second International Conference on Multimedia and Information Technology, vol. 1, pp. 294-297. IEEE, 2010.

[2] Ming, Z., J. F. Yin, W. Yang, H. Wang, and Z. Xiao. "A web performance testing framework and its mixed performance modeling process." Journal of Computer Research and Development 47, no. 7 (2010): 1192-1200.
[3] Xiao, Zhijiao, Zhong Ming, and Jianfei Yin. "Role-oriented workflow modeling based on object petri net." In 2008 The 9th International Conference for Young Computer Scientists, pp. 837-843. IEEE, 2008.
[4] Yin, Jianfei, Zhong Ming, Zhijiao Xiao, and Hui Wang. "A web performance modeling process based on the methodology of learning from data." In 2008 The 9th International Conference for Young Computer Scientists, pp. 1285-1291. IEEE, 2008.
[5] Yin, Jianfei, Heqing Guo, Xinyi Peng, and Manshan Lin. "Pattern Semantic Link: A reusable pattern representation in MDA context." In International Conference on Distributed Computing and Internet Technology, pp. 310-317. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004.
 

II. Representative Research Achievements and Academic Awards (excluding publications)

(1) Yin Jianfei (4/5); PPOSwitch: a Sparse Ensemble of Diversified PPO Trading Algorithms, Association for Computing Machinery (ACM), Global Gold Medal for Task 1 of the FinRL Competition at the 1st ACM ICAIF AI Trading Competition, Other, 2023 (Zhong Anyang; Chao Kaiyin; Chen Geying; Yin Jianfei; Huang Zhexue) (Research Award)

ACM ICAIF 2023 AI Trading Algorithm FinRL Competition Task 1 Global Champion
(2) Yin Jianfei (6/6); Octopus--Big Data Intelligent Computing System for Computing Networks, China Academic Degrees and Graduate Education Association, National First Prize in the Finals of the 5th "Huawei Cup" China Graduate AI Innovation Competition, National First Prize, 2023 (Sun Xudong; Zhao Lingxiang; Xiao Changda; Fan Huahua; Huang Zhexue; Yin Jianfei) (Research Award)

2023 "Huawei Cup" 5th China Graduate AI Innovation Competition Outstanding Instructor Award
(3) Yin Jianfei (1/3); i-nice Novel Clustering Analysis Software, Organizing Committee of China International High-Tech Fair, Excellent Product Award, 2020 (Yin Jianfei; Chen Hongjie; Huang Zhexue) (Research Award)

i-nice Novel Clustering Analysis Software Excellent Product Award

III. Major Research Projects Undertaken

Vertical Projects (Government Funded)

(1) National Natural Science Foundation of China, General Project, 61972261, Research on Distributed Big Data Approximate Computing Theory and Algorithms Based on Random Sample Partition, January 2020 to December 2023, 610,000 RMB, Completed, Participant
(2) Shenzhen Natural Science Foundation, General Project (Class B), 20200813091134001, Research and Development of the Autonomous Controllable Software inice for Unsupervised Learning of Complex Big Data, January 2022 to December 2022, 300,000 RMB, Completed, Principal Investigator
(3) Research on Cross-Domain Big Data Complexity Theory and Distributed Algorithms, JCYJ20220818100205012, Shenzhen Natural Science Foundation Basic Research Key Project, November 2022 to October 2025, 2,000,000 RMB, Completed, Participant

Horizontal Projects (Industry Funded)

(1) Shenzhen University - SGDI Industrial IoT Big Data AI University-Level Joint Institute, January 2024 to December 2027, 3,000,000 RMB, Ongoing, Principal Investigator
(2) Quantitative Investment Algorithm Service Agreement, Yuansi Private Fund, December 2025 to December 2028, 100,000 RMB, Ongoing, Principal Investigator
(3) SGDI Optical Cable Time-Series AI Production Efficiency Optimization System, January 2026 to December 2026, 1,500,000 RMB, Ongoing, Participant
(4) High School Entrance Examination Data Mining Service Project, Shenzhen Admissions and Examination Office, April 2023 to December 2023, 300,000 RMB, Completed, Principal Investigator
(5) Huawei Electronic Assembly and Processing Big Data Mining Capability Exploration Project, YBN2017050066, November 2017 to May 2018, 450,000 RMB, Completed, Principal Investigator
(6) Financial Stock Sentiment Analysis, Shenzhen-Hong Kong Innovation Circle Project, March 2018 to July 2019, 300,000 RMB, Completed, Participant