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 2024 are now open, and there might be 1 or 2 master student capacities. Meanwhile, 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. [2023.05]: Two papers "FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs" and "Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning" are accepted by KDD2023. Congrats to Yang and Shuo!
  2. [2023.05]: One paper "Making Better Use of Training Corpus: Retrieval-based Aspect Sentiment Triplet Extraction via Label Interpolation" is accepted by ACL2023. Congrats to Guoxin!
  3. [2023.04]: One paper "Online Conversion Rate Prediction via Neural Satellite Networks in Delayed Feedback Advertising" is accepted by SIGIR2023. Congrats to Qiming!
  4. [2023.01]: One paper "Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective" is accepted by ICLR2023. Congrats to Kuan!
  5. [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!



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

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