Feng Zhu

Feng Zhu

Dr. Feng Zhu

Algorithm Expert

Search and Recommendation Systems & LLM-Based Agents & LLM Training

Ant Group

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

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

News!

  • May 2024. One paper has been accepted by ACM MM 2024.

  • May 2024. Our CIKM-2019 paper “DTCDR: A Framework For Dual-Target Cross-Domain Recommendation” has been chosen as one of the Most Influential CIKM Papers in 2019.(see https://www.paperdigest.org/2024/05/most-influential-cikm-papers-2024-05/)

  • May 2024. Our CDR survey paper “Cross-Domain Recommendation: Challenges, Progress, and Prospects” has been chosen as one of the Most Influential IJCAI Papers in 2021. (see https://www.paperdigest.org/2024/05/most-influential-ijcai-papers-2024-05/)

  • 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

Dr. Feng Zhu works as an algorithm expert at Ant Group, Hangzhou, P.R. China. 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). His research interests include social computing, recommender systems, machine learning, and large language models. He has two conference papers (as the first author) recognized as the Most Influential Papers in Paper Digest, including IJCAI 2021 and CIKM 2019. He has been a PC member for many top conferences, such as AAAI, IJCAI, KDD, WWW, and MM.

Honors and Awards

  • Most Influential CIKM Papers (CIKM 2019): “DTCDR: A Framework For Dual-Target Cross-Domain Recommendation”.

  • Most Influential IJCAI Papers (IJCAI 2021): “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, AAAI 2021, TheWebConf2021-24, SIGKDD 22-23, IJCAI 2022-23, ACM MM 23-24.

  • Journal Reviewer: TOIS, TIST, TKDD.