Dr. Feng Zhu
Dr. Feng Zhu
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Algorithm Expert
Address: A Space, 569 Xixi Road, Hangzhou, China, 310013
Email: zhufeng.zhu@antgroup.com or feng.zhu3@hdr.mq.edu.au
ResearchGate: https://www.researchgate.net/profile/Feng-Zhu-59
DBLP: https://dblp.org/pid/71/2791-11.html
Google Scholar: https://scholar.google.com/citations?user=l8aG2eYAAAAJ&hl=en&oi=ao
News!
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.Â
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
Short Biography
He received the MEng degree from Soochow University, P.R. China, in 2016 (his supervisors were A/Prof. Guanfeng Liu and Prof. Xiaofang Zhou); and the PhD degree in Computer Science from Macquarie University, Australia, in 2020 (his supervisors were A/Prof. Guanfeng Liu and Prof. Yan Wang). He is currently a senior algorithm engineer at Ant Group, Hangzhou, P.R. China. His research interests include social computing, cross-domain recommender systems, and machine learning.
He received the MEng degree from Soochow University, P.R. China, in 2016 (his supervisors were A/Prof. Guanfeng Liu and Prof. Xiaofang Zhou); and the PhD degree in Computer Science from Macquarie University, Australia, in 2020 (his supervisors were A/Prof. Guanfeng Liu and Prof. Yan Wang). He is currently a senior algorithm engineer at Ant Group, Hangzhou, P.R. China. His research interests include social computing, cross-domain recommender systems, and machine learning.
Honors and Awards
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, Chinese Government, 2015.
Professional Services
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.
Selected Publications (Full list at Google Scholar)
Selected Publications (Full list at Google Scholar)
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation
Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang.
ICDE 2023 [pdf]
A Unified Framework for Cross-Domain and Cross-System Recommendations.
Feng Zhu, Yan Wang, Jun Zhou, Chaochao Chen, Longfei Li, Guanfeng Liu.
TKDE 2021 [pdf]
Cross-Domain Recommendation: Challenges, Progress, and Prospects. (Most Influential IJCAI Papers)
Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu.
IJCAI 2021 Survey Track [pdf]
A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation.
Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Xiaolin Zheng.
IJCAI 2020: 3001-3008 [pdf] [code] [dataset]
DTCDR: A Framework for Dual-Target Cross-Domain Recommendation.
Feng Zhu, Chaochao Chen, Yan Wang, Guanfeng Liu, Xiaolin Zheng.
CIKM 2019: 1533-1542 [pdf] [dataset]
Context-aware trustworthy service evaluation in social internet of things.
Maryam Khani, Yan Wang, Mehmet A Orgun, and Feng Zhu.
ICSOC 2018: 129--145
A Deep Framework for Cross-Domain and Cross-System Recommendations.
Feng Zhu, Yan Wang, Chaochao Chen, Mehmet Orgun, Jia Wu, Guanfeng Liu.
IJCAI 2018: 3711-3717 [pdf]
TOSI: A trust-oriented social influence evaluation method in contextual social networks.
Guanfeng Liu, Feng Zhu, Kai Zheng, An Liu, Zhixu Li, Lei Zhao, and Xiaofang Zhou.
NeuroComputing 2016: 130-140 [pdf]
Feng Zhu, Guanfeng Liu, Yan Wang, An Liu, Zhixu Li, Lei Zhao, Pengpeng Zhao, and Lei Li.
ICWS 2015: 456-463 [pdf]
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