上海财经大学计算机与人工智能学院助理教授。主要研究方向为1. 异常检测。包括弱监督异常检测、异常检测算法大规模评测与自动化组合等；2. 量化投资，包括时序预测以及LLM研究。近年来在计算机国际顶会NeurIPS、KDD、IJCAI、CIKM等发表论文数篇。

• 2020-2024， 上海财经大学，管理科学与工程，博士
  

  
  

2024.08-至今，上海财经大学计算机与人工智能学院，助理教授

Minqi Jiang*, Chaochuan Hou*, Ao Zheng*, Songqiao Han, Hailiang Huang, Qingsong Wen, Xiyang Hu, Yue Zhao
ADGym: Design Choices for Deep Anomaly Detection
Advances in Neural Information Processing Systems (NeurIPS 2023, 人工智能A First Tier)
*equal contribution. 关键词: 弱监督学习, 元学习, 自动化模型选择. Source Code

Minqi Jiang, Songqiao Han, Hailiang Huang
Anomaly Detection with Score Distribution Discrimination
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023, 数据库与 信息检索A First Tier)
*equal contribution. 关键词: 弱监督学习, 分布优化, 通用异常检测算法. Source Code

Songqiao Han*, Xiyang Hu*, Hailiang Huang*, Minqi Jiang*, Yue Zhao*
ADBench: Anomaly Detection Benchmark
Advances in Neural Information Processing Systems (NeurIPS 2022, 人工智能A First Tier)
*equal contribution. 关键词: 异常检测, 大规模算法评估. Source Code

Biyang Guo*, Xin Zhang*, Ziyuan Wang*, Minqi Jiang*, Jinran Nie*, Yuxuan Ding, Jianwei Yue, Yupeng Wu
How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection
International Joint Conference on Artificial Intelligence (IJCAI@LLM, 人工智能A Second Tier)
*equal contribution. 关键词: 大语言模型, ChatGPT. Source Code

Chaoli Zhang*, QingsongWen*, Yingying Zhang*, Lanshu Peng, Yiyuan Yang, Chongjiong Fan, Minqi Jiang, Lunting Fan, Liang Sun
Benchmarking Multivariate Time Series Anomaly Detection with Large-Scale Real-World Datasets
The Conference on Information and Knowledge Management (CIKM, 人工智能A Second Tier)
*equal contribution. 关键词: 时间序列预测, 大规模算法评估;

教授课程：

高级机器学习理论与算法