个人简介
教育经历
2004年，美国麻省理工学院媒体实验室, 机器学习, 获博士学位
2000年，美国马里兰大学, 电子与计算机工程, 获硕士学位
1998年，中国科学院自动化研究所, 模式识别与人工智能, 获硕士学位
1995年，华中科技大学, 自动控制, 获学士学位
工作经历
2023年至今，上海科学智能研究院，院长
2021年至今，复旦大学, 人工智能创新与产业研究院, 教授/院长
蚂蚁集团，副总裁、首席AI科学家、达摩院金融智能负责人
淘宝(中国)软件有限公司，副总裁
美国普渡大学，计算机科学系、生物系，终身（副）教授
美国麻省理工学院CSAIL实验室与怀特黑德生物医学研究所，博士后
近期论文
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Ziqi Liu，Zhengwei Wu，Zhiqiang Zhang，Jun Zhou, Shuang Yang, Le Song and Yuan Qi, Bandit Samplers for Training Graph Neural Networks, Advances in Neural Information Processing Systems (NeurIPS), 2020.
Xiaofu Chang, Xuqin Liu, Jianfeng Wen, Shuang Li, Yanming Fang, Le Song, Yuan Qi, Continuous-Time Dynamic Graph Learning via Neural Interaction Processes, In Proceedings of CIKM, 2020.
Romain Lopez, Chenchen Li, Xiang Yan, Junwu Xiong, Michael I. Jordan, Yuan Qi, Le Song. Cost-Effective Incentive Allocation via Structured Counterfactual Inference. In Proceedings of the Thirty-Forth AAAI Conference on Artificial Intelligence (AAAI-20), 2020.
Hui Li, Kailiang Hu, Shaohua Zhang, Yuan Qi, Le Song. Double Neural Counterfactual Regret Minimization. In Proceedings of The International Conference on Learning Representations (ICLR), 2020.
Yuyu Zhang, Xinshi Chen, Yuan Yang, Arun Ramamurthy, Bo Li, Yuan Qi, Le Song， Efficient Probabilistic Logic Reasoning with Graph Neural Networks，In Proceedings of The International Conference on Learning Representations (ICLR), 2020.
Binbin Hu, Zhiqiang Zhang, Jun Zhou, Jingli Fang, Quanhui Jia, Yanming Fang, Quan Yu and Yuan Qi, Loan Default Analysis with Multiplex Graph Learning, CIKM, 2020.
S. Yang , Z. Zhang , J. Zhou , Y. Wang , W. Sun , X. Zhong , Y. Fang , Q. Yu , Y. Qi, Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining in Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI-20), 2020.
C. Chen, J. Zhou, B. Wu, W. Fang, L. Wang, Y. Qi, X. Zheng, Practical Privacy Preserving POI Recommendation, ACM Transactions on Intelligent Systems and Technology, July 2020, Article No.: 52 https://doi.org/10.1145/3394138.
C．Liang，Z. Liu，B. Liu，J. Zhou，X. Li，S. Yang，Y. Qi， Uncovering Insurance Fraud Conspiracy with Network Learning， In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'19)， 2019.
C. Qu, S. Mannor, H. Xu, Y. Qi, L. Song, J. Xiong. Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. NIPS, 2019.
X. Chen, S. Li, H. Li, S. Jiang, Y. Qi, and L. Song. Generative adversarial user model for reinforcement learning based recommendation system. In Proceedings of International Conference on Machine Learning (ICML), 2019.
Z. Liu， D. Wang， Q. Yu，Z. Zhang，Y. Shen，J. Ma，W. Zhong，J. Gu，J. Zhou，S. Yang，Y. Qi， Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing，In Proceedings of the 28th ACM International Conference on Information and Knowledge Management（CIKM '19）, 2019.
Dixin Wang, Jianbin Lin, Peng Cui, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou, Shuang Yang, Yuan Qi, A Semi-Supervised Graph Attentive Network for Financial Fraud Detection, In Proceedings of IEEE International Conference on Data Mining (ICDM), 2019.
Ya-Lin Zhang，Jun Zhou，Wenhao Zheng，Ji Feng，Longfei Li，Ziqi Liu，Ming Li，Zhiqiang Zhang，Chaochao Chen，Xiaolong Li，Yuan Qi，Zhi-Hua Zhou， Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud，ACM Transactions on Intelligent Systems and Technology，Vol. 10, No. 5，2019.
Xinshi Chen, Shuang Li, Hui Li, Shaohua Jiang, Yuan Qi, Le Song, Generative Adversarial User Model for Reinforcement Learning Based Recommendation System. in Proceedings of the 36th International Conference on Machine Learning, 2019.
Ziqi Liu，Chaochao Chen，Longfei Li，Jun Zhou，Xiaolong Li，Le Song，Yuan Qi，GeniePath: Graph Neural Networks with Adaptive Receptive Paths，in Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), USA, 2019.
B. Hu, Z. Zhang, C. Shi, J. Zhou, X. Li, Y. Qi，Cash-out user detection based on attributed heterogeneous information network with a hierarchical attention mechanism，in Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), USA, 2019 .
Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong. Latent Dirichlet Allocation for Internet Price War, in Proceedings of he Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), USA, 2019.
Shaosheng Cao, Xinxing Yang, Cen Chen, Jun Zhou, Xiaolong Li, Yuan Qi, TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial. 45th International Conference on Very Large Data Bases (VLDB-19)， 2019.
Tong Yin, Xiaotie Deng, Yuan Qi, Wei Chu, Jing Pan, Xiang Yan, Junwu Xiong. Personalized Behavior Prediction with Encoder-to-Decoder Structure, IEEE International Conference on Networking, Architecture and Storage (NAS), 2018
Yuan Qi and Jing Xiao, Fintech: AI powers financial services to improve people's lives, Communications of the ACM, October, 2018.
Jianbin Lin; Zhiqiang Zhang; Jun Zhou; Xiaolong Li; Jingli Fang; Yanming Fang; Quan Yu; Yuan Qi，NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay，In Proceedings of IEEE International Conference on Big Data (Big Data)，2018.
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