Xiang Ao, Associate Professor

Dr. Xiang Ao is an Associate Professor in the Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences(ICT, CAS). Before joining ICT, he received Ph.D. degree in Computer Science from the Institute of Computing Technology, CAS in 2015 and B.S. degree in Computer Science from Zhejiang University in 2010.

His research interests include algorithms and models for AI finance tasks, e.g. behavior modeling and NLP for financial applications. He has authored more than 60 referred publications at prestigious international conferences and journals like IEEE TKDE, ACM TIST, KDD, WWW, ICDE, SIGIR, ACL, AAAI, IJCAI, etc., and has served as SPC or PC members over top tier international conferences such as KDD, WWW, IJCAI, AAAI, ACL, EMNLP, WSDM, SDM, ICDM, ECML-PKDD, etc. He is supported by the National Key Research and Development Program of China, National Natural Science Foundation of China, CCF-Tencent Rhino-Bird Young Faculty Open Research Fund, Tencent Advertising Rhino-Bird Research Fund, Ant Financial Science Funds, Alibaba Innovative Research Project, Youth Innovation Promotion Association CAS and Beijing Nova Program, etc.

I'm always looking for talented and self-motivated interns with a strong interest/background in machine learning, data mining,  and/or mathematics. 

New: Positions for recruiting graduate students in Fall 2023 is opening, welcome the undergraduates who are interested in the position to contact me. Send your CV to me :-).

Recent News
  1. [2022.05]: Three papers "UD-GNN: Uncertainty-aware Debiased Training on Semi-Homophilous Graphs", "Reliable Representations Make A Stonger Defender:Unsupervised Structure Refinement for Robust GNN" and "User Behavior Pre-training for Online Fraud Detection" are accepted by KDD2022. Congrats to Yang, Kuan and Yuncong!
  2. [2022.04]: Two papers "User-Centric Conversational Recommendation with Multi-Aspect User Modeling" and "Selective Fairness in Recommendation via Prompts" are accepted by SIGIR2022. Congrats to Shuokai and Yiqing!
  3. [2022.01]: Three papers "ADAPT: Adversarial Domain Adaptation with Purifier Training for Cross-domain Credit Risk Forecasting", "Bi-Level Selection via Meta Gradient for Graph-based Fraud Detection" and "Multi-view Multi-behavior Contrastive Learning in Recommendation" are accepted by DASFAA2022. Congrats to Linfeng and Yiqing!
  4. [2022.01]: One paper "AUC-oriented Graph Neural Network for Fraud Detection" is accepted by WWW2022. Congrats to Mengda!
  5. [2021.12]: One paper "Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement" is accepted by AAAI2022. Congrats to Fuwei!
  6. [2021.11]: One paper "Intelligent Financial Fraud Detection Practices in Post-Pandemic Era" is published on The Innovation. Thanks Xiaoqian, Zidi, Yanpeng, Yang, Qing and Jianping for collaboration!



No. 6 Kexueyuan South Rd., Haidian Dist., BJ, CHN


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aoxiang [at] ict [dot] ac [dot] cn

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