🚴 Fei Ling


I am currently a Lecturer in Computer Science at the School of Digital Technology, Zhejiang Technical Institute of Economics. Concurrently, I am pursuing my Ph.D. as a full-time candidate in the School of Computer Science and Technology at Zhejiang Normal University(ZJNU), working in Professor Xinzhong Zhu’s research group. Previously, I completed my Master’s degree under the guidance of Professor Xu-Hua Yang, Director of the Institute of Intelligent Computing at Zhejiang University of Technology(ZJUT). My research interests include Embodied AI, Recommender Systems, Video Retrieval, and Scene Graph Generation.


🕑 Publications / Acceptance‌s

2026

  • CNP-Diff: 面向推荐的条件邻域扰动扩散模型. (CNP-Diff: Conditional Neighborhood Perturbation Diffusion for Recommendation.)

    凌非 等.

    计算机应用研究 (Application Research of Computers).

  • AWLC-Net: Bridging adaptive window and length-sensitive clustering for efficient partial relevant video retrieval.

    Zheyan Zhu*, Fei Ling.

    Signal, Image and Video Processing (SIVP).

  • Enhancing scene graph generation via hybrid co-attention and predicate reweighting for long-tail robustness.

    Fei Ling*, Zheyan Zhu, Wen Fan.

    Peerj Computer Science (Peerj Computer Science).

2025

  • 基于对比学习的数据高效视频检索. (Data-efficient video retrieval with contrastive learning.)

    凌非 等.

    图学学报 (Journal of Graphics).


🕗 Work Experience

I gained valuable industry experience working as a Software Development Engineer at several publicly listed companies, including MOGU Inc., Hithink RoyalFlush, and 51 Credit Card (now Vala Inc.).