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 are now closed. Welcome the undergraduates who are interested in the position in the School of Future Technology of  UCAS to contact me. Send your CV to me :-).

Recent News
  1. [2022.11]: Two papers "Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning" and "Defending Against Backdoor Attacks in Natural Language Generation" are accepted by AAAI2023. Congrats to Zixian!
  2. [2022.10]: The paper "Explainable Graph-based Fraud Detection via Neural Meta-graph Search" won CIKM2022 Best Short Paper Honorable Mention. [view conference page]
  3. [2022.08]: Three papers "Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion", "Explainable Graph-based Fraud Detection via Neural Meta-graph Search" and "Calibrated Conversion Rate Prediction via Knowledge Distillation under Delayed Feedback in Online Advertising" are accepted by CIKM2022. Congrats to Fuwei, Zidi and Yuyao!
  4. [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!
  5. [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!



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