World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
31
Citations
7402
World Ranking
13377
National Ranking
1637

Overview

Fei Sun is affiliated with the Institute Of Computing Technology in China, with a research focus spanning multiple disciplines within engineering and materials science. Their scholarly output demonstrates significant contributions to the fields of Electronic, Optical and Magnetic Materials, Electrical and Electronic Engineering, Aerospace Engineering, Artificial Intelligence, and Biomedical Engineering.

The scientist's main areas of study have concentrated on topics including Metamaterials and Metasurfaces Applications, Advanced Antenna and Metasurface Technologies, Plasmonic and Surface Plasmon Research, Photonic Crystals and Applications, Antenna Design and Analysis, Thermal Radiation and Cooling Technologies, and Photonic and Optical Devices.

Fei Sun has published frequently in several academic venues. These include:

  • arXiv (Cornell University)
  • Optics Express
  • Optics & Laser Technology
  • SSRN Electronic Journal
  • Applied Optics

Recent publications illustrate a breadth of research interests and collaboration. Select papers include:

  • "Graph Neural Networks in Recommender Systems: A Survey," 2020, arXiv (Cornell University)
  • "184QPS/W 64Mb/mm23D Logic-to-DRAM Hybrid Bonding with Process-Near-Memory Engine for Recommendation System," 2022, 2022 IEEE International Solid-State Circuits Conference (ISSCC)
  • "Nitrogen-vacancy-regulated Mo2N quantum dots electrocatalyst enables fast polysulfides redox for high-energy-density lithium-sulfur batteries," 2022, Nano Energy
  • "Simultaneously realizing thermal and electromagnetic cloaking by multi-physical null medium," 2024, Opto-Electronic Science
  • "Insight into the cation migration and surface structural evolution of spinel LiNi0.5Mn1.5O4 cathode material for lithium-ion batteries," 2022, Chemical Engineering Journal

Frequent coauthors of Fei Sun reflect ongoing collaborations with various researchers in related fields. Regular collaborators include Yichao Liu, Zhihui Chen, Yibiao Yang, Hanchuan Chen, and Guang Feng.

Best Publications

  • BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

    Fei Sun;Jun Liu;Jian Wu;Changhua Pei

  • Graph Neural Networks in Recommender Systems: A Survey

    Shiwen Wu;Wentao Zhang;Fei Sun;Bin Cui

  • Contrastive Learning for Sequential Recommendation

    Xu Xie;Fei Sun;Zhaoyang Liu;Shiwen Wu

  • Deep Session Interest Network for Click-Through Rate Prediction.

    Yufei Feng;Fuyu Lv;Weichen Shen;Menghan Wang;Menghan Wang

  • CLEAR: Contrastive Learning for Sentence Representation.

    Zhuofeng Wu;Sinong Wang;Jiatao Gu;Madian Khabsa

  • Understanding Echo Chambers in E-commerce Recommender Systems

    Yingqiang Ge;Shuya Zhao;Honglu Zhou;Changhua Pei

  • POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion

    Wen Chen;Pipei Huang;Jiaming Xu;Xin Guo

  • Personalized re-ranking for recommendation

    Changhua Pei;Yi Zhang;Yongfeng Zhang;Fei Sun

  • Towards Long-term Fairness in Recommendation

    Yingqiang Ge;Shuchang Liu;Ruoyuan Gao;Yikun Xian

  • DOM based content extraction via text density

    Fei Sun;Dandan Song;Lejian Liao

  • SDM: Sequential Deep Matching Model for Online Large-scale Recommender System

    Fuyu Lv;Taiwei Jin;Changlong Yu;Fei Sun

  • A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation

    Xiao Lin;Hongjie Chen;Changhua Pei;Fei Sun

  • Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning

    Yang Deng;Yaliang Li;Fei Sun;Bolin Ding

  • Improving Multi-turn Dialogue Modelling with Utterance ReWriter

    Hui Su;Xiaoyu Shen;Rongzhi Zhang;Fei Sun

  • Component-Enhanced Chinese Character Embeddings

    Yanran Li;Wenjie Li;Fei Sun;Sujian Li

  • Semantic Models for the First-stage Retrieval: A Comprehensive Review.

    Yinqiong Cai;Yixing Fan;Jiafeng Guo;Fei Sun

  • Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations

    Fei Sun;Jiafeng Guo;Yanyan Lan;Jun Xu

  • Improving End-to-End Sequential Recommendations with Intent-aware Diversification

    Wanyu Chen;Pengjie Ren;Fei Cai;Fei Sun

  • Privileged Features Distillation at Taobao Recommendations

    Chen Xu;Quan Li;Junfeng Ge;Jinyang Gao

  • Exact-K Recommendation via Maximal Clique Optimization

    Yu Gong;Yu Zhu;Lu Duan;Qingwen Liu

  • Sparse word embeddings using l 1 regularized online learning

    Fei Sun;Jiafeng Guo;Yanyan Lan;Jun Xu

  • Personalized Re-ranking for Recommendation

    Changhua Pei;Yi Zhang;Yongfeng Zhang;Fei Sun

Frequent Co-Authors

Yongfeng Zhang
Yongfeng Zhang Rutgers, The State University of New Jersey
Bin Cui
Bin Cui Peking University
Xueqi Cheng
Xueqi Cheng Chinese Academy of Sciences
Jiafeng Guo
Jiafeng Guo Chinese Academy of Sciences
Yanyan Lan
Yanyan Lan Chinese Academy of Sciences
Jun Xu
Jun Xu Renmin University of China
Yaliang Li
Yaliang Li Alibaba Group (China)
Wilfred Ng
Wilfred Ng Hong Kong University of Science and Technology
Maarten de Rijke
Maarten de Rijke University of Amsterdam
Wenjie Li
Wenjie Li Hong Kong Polytechnic University

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