Feng Zhu

Feng Zhu

Dr. Feng Zhu

Algorithm Expert

Ant Group

Address: A Space, 569 Xixi Road, Hangzhou, China, 310013

Email: zhufeng.zhu@antgroup.com or feng.zhu3@hdr.mq.edu.au

News!

  • September 2023. Our CDR survey paper “Cross-Domain Recommendation: Challenges, Progress, and Prospects” has been chosen as one of Most Influential IJCAI Papers.

  • May 2023. I am invited to be a program committee member of ACM MM.

  • December 2022. I am invited to be a program committee member of IJCAI’23, and a paper has been accepted by ICDE 2023.

  • September 2022. I am invited to be a program committee member of TheWebConf’23, and a paper has been accepted by NeurIPS 2022.

  • August 2022. Two papers have been accepted by CIKM 2022.

  • January 2022. I am invited to be a program committee member of IJCAI-ECAI’22.

Short Biography

He received a PhD degree in Computer Science from Macquarie University, Australia, in 2020 (supervised by Prof. Yan Wang) and an MEng degree from Soochow University, P.R. China, in 2016 (supervised by A/Prof. Guanfeng Liu and Prof. Xiaofang Zhou). He is currently an algorithm expert at Ant Group, Hangzhou, P.R. China. His research interests include social computing, cross-domain recommender systems, and machine learning.

Honors and Awards

  • Most Influential IJCAI Papers: “Cross-Domain Recommendation: Challenges, Progress, and Prospects”.

  • The Vice-Chancellor’s Commendation for Academic Excellence, Macquarie University (Australia), 2020.

  • International Macquarie Research Excellence Scholarship Program scholarship (IMQRES Full Scholarship), Macquarie University (Australia), 2017 - 2020.

  • Excellent Graduated Postgraduate Student, Soochow University (China), 2016.

  • National Scholarship for Postgraduate Students, The Chinese Ministry of Education, 2015.

Professional Services

  • Conference Reviewer: ADC 2017, SOCA 2017, RecSys 2017-20, ICWS 2021, TheWebConf2021-23, SIGKDD 2022-23, IJCAI 2022-23, ACM MM 2023.

  • Journal Reviewer: TOIS, TIST, TKDD.