World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
19773
World Ranking
2561
National Ranking
44

Overview

Aixin Sun is affiliated with Nanyang Technological University in Singapore and primarily conducts research in the field of Computer Science, with a significant focus on Artificial Intelligence. Their work spans several subfields including Computer Vision and Pattern Recognition, Information Systems, Management Science and Operations Research, and Electrical and Electronic Engineering.

Their research topics cover a range of areas such as Topic Modeling, Natural Language Processing Techniques, Recommender Systems and Techniques, Multimodal Machine Learning Applications, Advanced Graph Neural Networks, Advanced Text Analysis Techniques, and Advanced Bandit Algorithms Research.

Among recent publications, Aixin Sun has contributed to the following:

  • "A Survey on Deep Learning for Named Entity Recognition", 2020, IEEE Transactions on Knowledge and Data Engineering
  • "Natural Language Video Localization: A Revisit in Span-based Question Answering Framework", 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "SelfCF: A Simple Framework for Self-supervised Collaborative Filtering", 2023, ACM Transactions on Recommender Systems
  • "GDPNet: Refining Latent Multi-View Graph for Relation Extraction", 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "A Critical Study on Data Leakage in Recommender System Offline Evaluation", 2022, ACM Transactions on Information Systems

Their frequent co-authors include Yequan Wang, Xuying Meng, Hao Zhang, Yiqun Yao, and Xuezhi Fang.

Aixin Sun's work has appeared repeatedly in several key publication venues, such as:

  • arXiv (Cornell University)
  • ACM Transactions on Information Systems
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

They have also contributed to book publications, including a title published by Springer Science+Business Media:

  • Information Retrieval Technology, 2020

Best Publications

  • Deep Learning Based Recommender System: A Survey and New Perspectives

    Shuai Zhang;Lina Yao;Aixin Sun;Yi Tay

  • A Survey on Deep Learning for Named Entity Recognition

    Jing Li;Aixin Sun;Jianglei Han;Chenliang Li

  • Time-aware point-of-interest recommendation

    Quan Yuan;Gao Cong;Zongyang Ma;Aixin Sun

  • Deep Learning based Recommender System: A Survey and New Perspectives.

    Shuai Zhang;Lina Yao;Aixin Sun

  • Hierarchical text classification and evaluation

    Aixin Sun;Ee-Peng Lim

  • Twevent: segment-based event detection from tweets

    Chenliang Li;Aixin Sun;Anwitaman Datta

  • Proceedings of the 2017 ACM on Conference on Information and Knowledge Management

    Ee-Peng Lim;Marianne Winslett;Mark Sanderson;Ada Fu

  • Exploiting Geographical Neighborhood Characteristics for Location Recommendation

    Yong Liu;Wei Wei;Aixin Sun;Chunyan Miao

  • Measuring article quality in wikipedia: models and evaluation

    Meiqun Hu;Ee-Peng Lim;Aixin Sun;Hady Wirawan Lauw

  • Topic Modeling for Short Texts with Auxiliary Word Embeddings

    Chenliang Li;Haoran Wang;Zhiqian Zhang;Aixin Sun

  • TwiNER: named entity recognition in targeted twitter stream

    Chenliang Li;Jianshu Weng;Qi He;Yuxia Yao

  • On Predicting the Popularity of Newly Emerging Hashtags in Twitter

    Zongyang Ma;Aixin Sun;Gao Cong

  • Web classification using support vector machine

    Aixin Sun;Ee-Peng Lim;Wee-Keong Ng

  • On strategies for imbalanced text classification using SVM: A comparative study

    Aixin Sun;Ee-Peng Lim;Ying Liu

  • Imbalanced text classification: A term weighting approach

    Ying Liu;Han Tong Loh;Aixin Sun

  • CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network

    Cheng Zhao;Chenliang Li;Rong Xiao;Hongbo Deng

  • Graph-based Point-of-interest Recommendation with Geographical and Temporal Influences

    Quan Yuan;Gao Cong;Aixin Sun

  • Who, where, when and what: discover spatio-temporal topics for twitter users

    Quan Yuan;Gao Cong;Zongyang Ma;Aixin Sun

  • Span-based Localizing Network for Natural Language Video Localization

    Hao Zhang;Aixin Sun;Wei Jing;Joey Tianyi Zhou

  • A Survey of Location Prediction on Twitter

    Xin Zheng;Jialong Han;Aixin Sun

  • Predicting trusts among users of online communities: an epinions case study

    Haifeng Liu;Ee-Peng Lim;Hady W. Lauw;Minh-Tam Le

Frequent Co-Authors

Ee-Peng Lim
Ee-Peng Lim Singapore Management University
Sourav S. Bhowmick
Sourav S. Bhowmick Nanyang Technological University
Yin-Leng Theng
Yin-Leng Theng Nanyang Technological University
Dion Hoe-Lian Goh
Dion Hoe-Lian Goh Nanyang Technological University
Gao Cong
Gao Cong Nanyang Technological University
Anwitaman Datta
Anwitaman Datta Nanyang Technological University
Lina Yao
Lina Yao Commonwealth Scientific and Industrial Research Organisation
Yi Tay
Yi Tay Google (United States)
Wee Keong Ng
Wee Keong Ng Nanyang Technological University
Quan Yuan
Quan Yuan Dow Chemical (United States)

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