田虎

304永利集团官网入口，304永利集团官网入口投资系，助理教授

研究领域：计算金融与决策智能、人工智能与社会计算、大数据决策与分析

联系方式：tianhu01@foxmail.com

工作经历

2023/7 – 2025/7，北京大学光华管理学院/嘉实基金管理有限公司，应用经济学，博士后

2025/8 – 至今，304永利集团官网入口，304永利集团官网入口，助理教授

学习经历

2018/9 - 2023/6，中国科学院自动化研究所，社会计算，工学博士

教授课程

本科生：《应用时间序列分析》、《数据科学导论》

研究生：《机器学习》

已发表论文

Deng Z, Tian H, Zheng X, Zeng DD (2022) Deep causal learning: representation, discovery and inference.ACM Computing Surveys.

Huang H, Tian H, Zheng X, Zhang X, Zeng DD, Wang FY (2024) CGNN: A compatibility-aware graph neural network for social media bot detection.IEEE Transactions on Computational Social Systems11(5):6528–6543.

Jing R, Tian H, Li Y, Zhang X, Zheng X, Zhang Z, Zeng D (2020) Improving the data quality for credit card fraud detection.2020 IEEE International Conference on Intelligence and Security Informatics (ISI)(IEEE), 1–6.

Jing R, Tian H, Zhang X, Zhou G, Zheng X, Zeng D (2022) Self-Training based semi-Supervised and semi-Paired hashing cross-modal retrieval.2022 International Joint Conference on Neural Networks (IJCNN)(IEEE), 1–8.

Jing R, Tian H, Zhou G, Zhang X, Zheng X, Zeng DD (2021) A GNN-based Few-shotlearning model on the Credit Card Fraud detection.2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI)(IEEE), 320–323.

Jing R, Zheng X, Tian H, Zhang X, Chen W, Wu DD, Zeng DD (2019) A graph-based semi-supervised fraud detection framework.2019 4th IEEE International Conference on Cybernetics (Cybconf)(IEEE), 1–5.

Miao P, Tian H, Zhang X, He S, Zheng X, Wu DD, Zeng D (2020) Analyzing the Evolutionary Characteristics of the Cluster of COVID-19 under Anti-contagion Policies.2020 IEEE International Conference on Intelligence and Security Informatics (ISI)(IEEE), 1–6.

Rios J, Zhao K, Street WN, Tian H, Zheng X (2020) A Hybrid Deep Learning Model for Dynamic Stock Movement Predictions Based on Supply Chain Networks.Workshop on Information Technology and Systems (WITS)

Tian H, Ye B, Zheng X, Wu DD (2020) Robust Graph Neural Networks Against Adversarial Attacks via Jointly Adversarial Training.IFAC-PapersOnLine53(5):420–425.

Tian H, Zhang X, Zheng X, Zeng DD (2023) Learning dynamic dependencies with graph evolution recurrent unit for stock predictions.IEEE Transactions on Systems, Man, and Cybernetics: Systems53(11):6705–6717.

Tian H, Zhang X, Zheng X, Zhang Z, Zeng DD (2024) Graph Representation Learning of Multilayer Spatial–Temporal Networks for Stock Predictions.IEEE Transactions on Computational Social Systems.

Tian H, Zheng X, Zeng DD (2019) Analyzing the dynamic sectoral influence in Chinese and American stock markets.Physica A: Statistical Mechanics and its Applications:120922.

Tian H, Zheng X, Zhang X, Zeng DD (2021)∊-k anonymization and adversarial training of graph neural networks for privacy preservation in social networks.Electronic Commerce Research and Applications50:101105.

Tian H, Zheng X, Zhao K, Liu MW, Zeng DD (2022) Inductive representation learning on dynamic stock co-movement graphs for stock predictions.INFORMS journal on computing34(4):1940–1957.

Zhang X, Tian H, Zheng X, Zeng DD (2022) Robust monitor for industrial IoT condition prediction.IEEE Internet of Things Journal10(10):8618–8629.

Zheng X, Tian H, Wan Z, Wang X, Zeng DD, Wang FY (2021) Game starts at GameStop: Characterizing the collective behaviors and social dynamics in the short squeeze episode.IEEE Transactions on Computational Social Systems9(1):45–58.

Zhou G, Jing R, Zheng X, Zhang X, Tian H, Zeng D (2021) Analyzing the hidden causal interactions in large-scale social networks: A case study on GameStop.2021 IEEE 1st international conference on digital twins and parallel intelligence (DTPI)(IEEE), 294–297.

田虎,郑晓龙(2025)超联世界中的超链风险及其应对:以经济金融系统为例.中国管理科学 33(3):62–79.

参与项目

1. 上海市超级博士后资助（主持）

2. 中国博士后科学基金（主持）

主要学术兼职

《Informs Journal on Computing》、《IEEE Transactions on Knowledge and Data Engineering》、《Machine Learning》等期刊匿名审稿人