Wenqi Fan

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Dr. Wenqi Fan is currently a Research Assistant Professor (RAP) of the Department of Computing (COMP), The Hong Kong Polytechnic University (PolyU). Before joining the Department, he worked as a Postdoctoral Fellow at PolyU. He received his Ph.D. degree in computer science from the City University of Hong Kong (CityU) in 2020, under the supervision of Prof. Qing LI and Prof. Jianping WANG. From 2018 to 2021, he was a research scholar of Data Science and Engineering (DSE) Lab at Michigan State University (MSU), under the supervision of Prof. Jiliang Tang.

Email: wenqifan03(at)gmail(dot)com, wenqifan(at)polyu(dot)edu(dot)hk

Office: PQ724c, Mong Man Wai Building, Hung Hom, Kowloon, Hong Kong SAR.

>>>Openings: I am actively recruiting self-motivated Postdoc, Ph.D. students, Joint Ph.D. students (i.e., UTS、CAS、SUSTech, etc.), MPhil/Msc, and Research Assistants. Visiting scholars and interns are also welcome. Send me an email if you are interested. [More]

>>> Welcome to contact me if you are interested in interdisciplinary research (collaborating with our group) using data mining/machine learning/artificial intelligence!

Research Interests

Data Mining and Machine Learning, with a particular focus on:

  • Graph Neural Networks (GNNs)

  • Recommender Systems (RecSys)

  • Adversarial Attacks and Defenses

News

  • 12/2021: Our tutorial on “Trustworthy AI: A Computational Perspective” is accepted for is accepted for the Web Conference (WWW’22).

  • 12/2021: Our tutorial on “Automated Machine Learning for Recommendations: Fundamentals and Advances” is accepted for the Web Conference (WWW’22) [Website].

  • 12/2021: One paper got accepted by AAAI’22.

  • 11/2021: Invited to serve as the Senior PC Member of KDD’22.

  • 09/2021: 1 paper got accepted by ICDM’2021.

  • 07/2021: Our new preprint “Trustworthy AI: A Computational Perspective” is online.

  • 07/2021: Our tutorial on “Trustworthy AI: A Computational Perspective” is accepted for ICAPS 2021.

  • 06/2021: Invited to serve as PC Member for ICLR 2020 and WSDM 2022.

  • 06/2021: A Chinese Survey on Graph Nerual Networks based Recommender Systems, “综述:基于图学习的推荐系统”.

  • 05/2021: Our paper “AutoLoss: Automated Loss Function Search in Recommendations” is accepted by KDD 2021.

  • 04/2021: Invited to serve as PC member for NeurIPS/CIKM 2021.

  • 04/2021: Our tutorial on “Deep Learning for Recommendations: Fundamentals and Advances” is accepted to be held in IJCAI 2021.

  • 12/2020: Our tutorial “Deep Recommender System: Fundamentals and Advances” has been accepted by WWW 2021.

  • 12/2020: Invited to serve as PC member for ICML 2021.

  • 11/2020: Invited to serve as PC member for KDD 2021.

  • 10/2020: One full paper got accepted by ICDE 2021.

  • 09/2020: One paper got accepted by COLING 2020 about Fairness/bias in Dialogue Systems.

  • 08/2020: Invited to serve as PC member for AAAI2021 and IJCAI2021.

  • 06/2020: One paper “A Graph Neural Network Framework for Social Recommendations” is accepted by IEEE TKDE.

  • 05/2020: Preprint “Attacking Black-box Recommendations via Copying Cross-domain User Profiles[Arxiv]

  • 03/2020: SDM2020 Doctoral Forum accepted “Deep Social Recommendations”.

  • 03/2020: Awarded SDM2020 Student Travel Award with funds from SIAM.

  • 12/2019: Two papers are accepted by SDM 2020.

  • 12/2019: Invited to serve as PC member for IJCAI 2020 and AI4EDU 2020.

  • 10/2019: Preprint of our paper “Does Gender Matter? Towards Fairness in Dialogue Systems” is released [link].

  • 10/2019: Our paper “Epidemic Graph Convolutional Network” is accepted by WSDM 2020 (Preprint coming soon!).

  • 06/2019: Our paper “Deep Social Collaborative Filtering” is accepted by RecSys 2019.

  • 06/2019: Received the IJCAI 2019 Student Travel Award and will serve as volunteer.

  • 05/2019: Our paper “Deep Adversarial Social Recommendation” is accepted by IJCAI 2019.

  • 01/2019: Our paper “Graph Neural Networks for Social Recmmendation” is accepted by WWW 2019.