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田虎

發(fā)布時(shí)間:2025-09-01瀏覽次數(shù):

田虎

中央財(cái)經(jīng)大學(xué),管理科學(xué)與工程學(xué)院投資系,助理教授

研究領(lǐng)域:計(jì)算金融與決策智能、人工智能與社會(huì)計(jì)算、大數(shù)據(jù)決策與分析

聯(lián)系方式:tianhu01@foxmail.com

工作經(jīng)歷

2023/7 – 2025/7,北京大學(xué)光華管理學(xué)院/嘉實(shí)基金管理有限公司,應(yīng)用經(jīng)濟(jì)學(xué),博士后

2025/8 – 至今,中央財(cái)經(jīng)大學(xué),管理科學(xué)與工程學(xué)院,助理教授

學(xué)習(xí)經(jīng)歷

2018/9 - 2023/6,中國(guó)科學(xué)院自動(dòng)化研究所,社會(huì)計(jì)算,工學(xué)博士

教授課程

本科生:《應(yīng)用時(shí)間序列分析》、《數(shù)據(jù)科學(xué)導(dǎo)論》

研究生:《機(jī)器學(xué)習(xí)》

已發(fā)表論文

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,鄭曉龍(2025)超聯(lián)世界中的超鏈風(fēng)險(xiǎn)及其應(yīng)對(duì):以經(jīng)濟(jì)金融系統(tǒng)為例.中國(guó)管理科學(xué) 33(3):62–79.

參與項(xiàng)目

1. 上海市超級(jí)博士后資助(主持)

2. 中國(guó)博士后科學(xué)基金(主持)

主要學(xué)術(shù)兼職

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

上一篇:焦宇曉

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