Fan Liu

Fan Liu

Research Fellow @NUS

Fan Liu (刘帆)

About Me

I am currently a Research Fellow with Prof. Mohan Kankanhalli in School of Computing, National University of Singapore. I received my Ph.D degree at Shandong University, under the supervision of Prof. Liqiang Nie and Prof. Zhiyong Cheng. I received the B.Eng. degree from Southeast University in China and the Master degree from the Kansai University in Japan, under the supervision of Prof. Ebara Hiroyuki. My research interests lie primarily in multimedia information retrieval and recommendation. I was a visiting scholar at N-CRiPT@NUS in 2021.

RESEARCH INTEREST:

  • Multimedia Information Retrieval
  • Recommendation

Education

  • Shandong University, Qingdao, China. (Sep. 2018 - Sep. 2021)
    • Ph.D. in School of Computer Science and Technology
    • Supervisors: Prof. Liqiang Nie and Prof. Zhiyong Cheng
  • Kansai University, Osaka, Japan. (Apr. 2012 - Mar. 2015)
    • M.S. in Department of Electrical and Electronic Engineering
    • Supervisor: Prof. Ebara Hiroyuki
  • Southeast University, Nanjing, China. (Sep. 2006 - Jun. 2010)
    • B.S. in School of Computer Science and Engineering

Experience

  • National University of Singapore, Singapore. (Apr. 2021 - Sep. 2021)
    • Research Intern in NUS Centre for Research in Privacy Technologies (N-CRiPT)
    • Supervisor: Prof. Mohan Kankanhalli

Selected Publications

‘*’ indicates the corresponding author.

  • Fan Liu, Yaqi Liu, Huilin Chen, Zhiyong Cheng, Liqiang Nie, Mohan Kankanhalli. Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models. Arxiv, 2024.
  • Fan Liu, Shuai Zhao, Zhiyong Cheng, Liqiang Nie, Mohan Kankanhalli. Cluster-based Graph Collaborative Filtering. Arxiv, 2024.
  • Zhenyang Li, Fan Liu, Yinwei Wei, Zhiyong Cheng, Liqiang Nie, Mohan Kankanhalli. Attribute-driven Disentangled Representation Learning for Multimodal Recommendation. Arxiv, 2024.
  • Zhicheng Sheng, Fan Liu *, Meng Liu, Feng Zheng, Liqiang Nie *. Open-set Synthesis for Free-viewpoint Human Body Reenactment of Novel Poses. TCSVT, 2024.
  • Mingshi Yan, Fan Liu, Jing Sun, Fuming Sun, Zhiyong Cheng, Yahong Han. Behavior-Contextualized Item Preference Network for Multi-Behavior Recommendation. SIGIR, 2024. [Codes&Data] [Paper]
  • Fan Liu, Huilin Chen, Zhiyong Cheng, Liqiang Nie, Mohan Kankanhalli. Semantic-Guided Feature Distillation for Multimodal Recommendation. MM, 2023. [Codes&Data] [Paper]
  • Yinwei Wei, Wenqi Liu, Fan Liu, Xiang Wang, Liqiang Nie, Tat-Seng Chua. LightGT: A Light Graph Transformer for Multimedia Recommendation. SIGIR, 2023. [Codes&Data] [Paper]
  • Zhiyong Cheng, Sai Han, Fan Liu, Lei Zhu, Zan Gao, Yuxin Peng. Multi-Behavior Recommendation with Cascading Graph Convolution Networks. WWW, 2023. [Codes&Data] [Paper]
  • Han Liu, Yinwei Wei, Fan Liu, Wenjie Wang, Liqiang Nie, Tat-Seng Chua. Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation. TOIS, 2023. [Codes&Data][Paper]
  • Fan Liu, Zhiyong Cheng, Huilin Chen, Yinwei Wei, Liqiang Nie, Mohan Kankanhalli. Privacy-Preserving Synthetic Data Generation for Recommendation Systems. SIGIR, 2022. [Codes&Data] [Paper]
  • Fan Liu *, Huilin Chen, Zhiyong Cheng, Anan Liu, Liqiang Nie, Mohan Kankanhalli. Disentangled Multimodal Representation Learning for Recommendation. TMM, 2022. [Codes&Data] [Paper]
  • Zhiyong Cheng, Fan Liu, Shenghan Mei, Yangyang Guo, Lei Zhu, Liqiang Nie. Feature-level Attentive ICF for Recommendation. TOIS, 2022. [Codes&Data] [Paper]
  • Ansong Li, Zhiyong Cheng, Fan Liu, Zan Gao, Weili Guan, Yuxin Peng. Disentangled Graph Neural Networks for Session-based Recommendation. TKDE, 2022. [Codes&Data] [Paper]
  • Fan Liu, Zhiyong Cheng, Lei Zhu, Zan Gao, Liqiang Nie. Interest-aware Message-Passing GCN for Recommendation. WWW, 2021. [Codes&Data] [Paper]
  • Fan Liu, Zhiyong Cheng, Lei Zhu, Chenghao Liu, Liqiang Nie. An Attribute-aware Attentive GCN Model for Attribute Missing in Recommendation. TKDE, 2020. [Codes&Data] [Paper]
  • Fan Liu, Zhiyong Cheng, Changchang Sun, Yinglong Wang, Liqiang Nie, Mohan Kankanhalli. User Diverse Preference Modeling via Multimodal Attentive Metric Learning. MM, 2019. [Codes&Data] [Paper]

Awards

  • Outstanding Doctoral Theis Reward in ACM SIGMM China, 2022
  • Outstanding Doctoral Theis Reward in Shandong Conference on Artificial Intelligence, 2022
  • ACM Multimedia 2022 Conversational Head Generation Challenge Award
  • IEEE Transactions on Multimedia Outstanding Reviewer Award
  • ACM WSDM 2022 Outstanding Program Committee Member Award

Community Services

  • Area Chair or Senior PC Member of ACM MM 2024, CIKM 2024
  • PC Member or Reviewer of ICML2024, WWW 2024, SIGIR 2024, WSDM 2024
  • PC Member or Reviewer of ACM MM2023, KDD 2023, WSDM 2023
  • PC Member or Reviewer of ACM MM 2022, KDD 2022, WSDM 2022, ICPR 2022
  • PC Member or Reviewer of ACM MM 2021, MM Asia 2021
  • PC Member or Reviewer of ACM MM 2020
  • Invited Reviewer for Transactions on Knowledge and Data Engineering (TKDE)
  • Invited Reviewer for Transactions on Information Systems (TOIS)
  • Invited Reviewer for Transactions on Multimedia (TMM)
  • Invited Reviewer for Transactions on Circuits and Systems for Video Technology (TCSVT)
  • Invited Reviewer for Information Sciences (INS)
  • Invited Reviewer for Information Processing and Management (IPM)