田虎｜中央财经大学｜学者主页

2026

Code and Data for Semantic Aggregated Adversarial Training Framework for Hate Speech Detection

Xing-Wei Zhang, Hu Tian, Xiaolong Zheng, Jing Peng, D. Zeng

INFORMS journal on computing

DOI

2026

Semantic Aggregated Adversarial Training Framework for Hate Speech Detection

Xing-Wei Zhang, Hu Tian, Xiaolong Zheng, Jing Peng, D. D. Zeng

INFORMS journal on computing

DOI

2025

超联世界中的超链风险及其应对：以经济金融系统为例

田虎，郑晓龙

《中国管理科学》，Vol. 33, No. 3

下载原文

2025

Graph Representation Learning of Multilayer Spatial–Temporal Networks for Stock Predictions

Hu Tian, Xing-Wei Zhang, Xiaolong Zheng, Zili Zhang, D. Zeng

IEEE Transactions on Computational Social Systems

DOI

2024

企业参与精准扶贫对真实盈余管理的影响研究

田虎

《兰州大学》

2024

基于参数高效迁移的小样本图像分类方法研究

田虎

《安徽大学》

2024

CGNN: A Compatibility-Aware Graph Neural Network for Social Media Bot Detection

Hai-Tao Huang, Hu Tian, Xiaolong Zheng, Xing-Wei Zhang, D. Zeng, Fei-Yue Wang

IEEE Transactions on Computational Social Systems

DOI

2023

Learning Dynamic Dependencies With Graph Evolution Recurrent Unit for Stock Predictions

Hu Tian, Xing-Wei Zhang, Xiao-Long Zheng, D. Zeng

IEEE Transactions on Systems, Man & Cybernetics. Systems

DOI

2022

Deep Causal Learning: Representation, Discovery and Inference

Zizhen Deng, Hu Tian, Xiao-Long Zheng, D. Zeng

ACM Computing Surveys

DOI

2022

Game Starts at GameStop: Characterizing the Collective Behaviors and Social Dynamics in the Short Squeeze Episode

Xiao-Long Zheng, Hu Tian, Zhe Wan, Xiao Wang, D. Zeng, Fei-Yue Wang

IEEE Transactions on Computational Social Systems

DOI

2021

A GNN-based Few-shot learning model on the Credit Card Fraud detection

Rongrong Jing, Hu Tian, Gang Zhou, Xing-Wei Zhang, Xiao-Long Zheng, D. Zeng

2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI)

DOI

2021

∊-k Anonymization and Adversarial Training of Graph Neural Networks for Privacy Preservation in Social Networks

Hu Tian, Xiao-Long Zheng, Xing-Wei Zhang, D. Zeng

Electronic Commerce Research and Applications

DOI

2021

Analyzing the Hidden Causal Interactions in Large-Scale Social Networks: A Case Study on GameStop

Gang Zhou, Rongrong Jing, Xiao-Long Zheng, Xing-Wei Zhang, Hu Tian, D. Zeng

2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI)

DOI

2020

Robust Graph Neural Networks Against Adversarial Attacks via Jointly Adversarial Training

Hu Tian, Bowei Ye, Xiao-Long Zheng, D. Wu

DOI

2020

A Hybrid Deep Learning Model for Dynamic Stock Movement Predictions based on Supply Chain Networks

J. Rios, K. Zhao, N. Street, Hu Tian, Xiaolong Zheng

2020

Analyzing the Evolutionary Characteristics of the Cluster of COVID-19 under Anti-contagion Policies

P. Miao, Hu Tian, Xing-Wei Zhang, Sai-Ke He, Xiao-Long Zheng, Desheng Dash Wu, D. Zeng

Intelligence and Security Informatics

DOI

2019

Analyzing the dynamic sectoral influence in Chinese and American stock markets

Hu Tian, Xiao-Long Zheng, D. Zeng

DOI

2019

A Graph-Based Semi-Supervised Fraud Detection Framework

Rongrong Jing, Xiao-Long Zheng, Hu Tian, Xing-Wei Zhang, Weiyun Chen, D. Wu, D. Zeng

International Conference on Cybernetics

DOI

田虎

精选作品

期刊论文

Code and Data for Semantic Aggregated Adversarial Training Framework for Hate Speech Detection

Semantic Aggregated Adversarial Training Framework for Hate Speech Detection

超联世界中的超链风险及其应对：以经济金融系统为例

Graph Representation Learning of Multilayer Spatial–Temporal Networks for Stock Predictions

企业参与精准扶贫对真实盈余管理的影响研究

基于参数高效迁移的小样本图像分类方法研究

CGNN: A Compatibility-Aware Graph Neural Network for Social Media Bot Detection

Learning Dynamic Dependencies With Graph Evolution Recurrent Unit for Stock Predictions

Deep Causal Learning: Representation, Discovery and Inference

Game Starts at GameStop: Characterizing the Collective Behaviors and Social Dynamics in the Short Squeeze Episode

A GNN-based Few-shot learning model on the Credit Card Fraud detection

∊-k Anonymization and Adversarial Training of Graph Neural Networks for Privacy Preservation in Social Networks

Analyzing the Hidden Causal Interactions in Large-Scale Social Networks: A Case Study on GameStop

Robust Graph Neural Networks Against Adversarial Attacks via Jointly Adversarial Training

A Hybrid Deep Learning Model for Dynamic Stock Movement Predictions based on Supply Chain Networks

Analyzing the Evolutionary Characteristics of the Cluster of COVID-19 under Anti-contagion Policies

Analyzing the dynamic sectoral influence in Chinese and American stock markets

A Graph-Based Semi-Supervised Fraud Detection Framework

研究方向