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Steven C. H. Hoi

Steven C. H. Hoi

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Computer Science
China
2026
Award Badge
Computer Science
Singapore
2025

D-Index & Metrics

Computer Science

D-Index
91
Citations
34508
World Ranking
580
National Ranking
81

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in Singapore Leader Award
  • 2022 - Research.com Computer Science in Singapore Leader Award
  • 2019 - ACM Distinguished Member
  • 2019 - IEEE Fellow For contributions to machine learning for multimedia information retrieval and scalable data analytics

Overview

Steven C. H. Hoi is affiliated with Singapore Management University in Singapore. Their research focuses primarily on the field of computer science, with significant contributions across related subfields including artificial intelligence, computer vision and pattern recognition, information systems, signal processing, and management science and operations research.

The scientist's research topics cover a variety of areas in machine learning and multimedia, with notable emphasis on multimodal machine learning applications, domain adaptation and few-shot learning, and topic modeling. Additional key research themes include advanced image and video retrieval techniques, natural language processing techniques, human pose and action recognition, and advanced neural network applications.

Recent papers authored or co-authored by Steven C. H. Hoi include:

  • Deep Learning for Person Re-Identification: A Survey and Outlook, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Deep Learning for Image Super-Resolution: A Survey, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Recent advances in deep learning for object detection, 2020, Neurocomputing
  • BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models, 2023, arXiv (Cornell University)

The scientist frequently collaborates with several scholars, including Caiming Xiong, Doyen Sahoo, Shafiq Joty, Chenghao Liu, and Guosheng Lin.

Publication venues where Steven C. H. Hoi has a substantial presence include:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Multimedia
  • Neurocomputing
  • Proceedings of the AAAI Conference on Artificial Intelligence

Among professional recognitions, Steven C. H. Hoi has been named an ACM Distinguished Member and an IEEE Fellow for contributions to machine learning for multimedia information retrieval and scalable data analytics, both awarded in 2019.

Best Publications

  • Deep Learning for Person Re-identification: A Survey and Outlook.

    Mang Ye;Jianbing Shen;Gaojie Lin;Tao Xiang

  • Deep Learning for Image Super-Resolution: A Survey

    Zhihao Wang;Jian Chen;Steven C. H. Hoi

  • CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

    Yue Wang;Weishi Wang;Shafiq R. Joty;Steven C. H. Hoi

  • Deep Learning for Content-Based Image Retrieval: A Comprehensive Study

    Ji Wan;Dayong Wang;Steven Chu Hong Hoi;Pengcheng Wu

  • Recent Advances in Deep Learning for Object Detection

    Xiongwei Wu;Doyen Sahoo;Steven C. H. Hoi;Steven C. H. Hoi

  • Align before Fuse: Vision and Language Representation Learning with Momentum Distillation

    Junnan Li;Ramprasaath R. Selvaraju;Akhilesh Deepak Gotmare;Shafiq R. Joty

  • Face detection using deep learning: An improved faster RCNN approach

    Xudong Sun;Pengcheng Wu;Steven C.H. Hoi

  • Online learning: A comprehensive survey

    Steven C.H. Hoi;Steven C.H. Hoi;Doyen Sahoo;Jing Lu;Peilin Zhao

  • AR-miner: mining informative reviews for developers from mobile app marketplace

    Ning Chen;Jialiu Lin;Steven C. H. Hoi;Xiaokui Xiao

  • Batch mode active learning and its application to medical image classification

    Steven C. H. Hoi;Rong Jin;Jianke Zhu;Michael R. Lyu

  • DivideMix: Learning with Noisy Labels as Semi-supervised Learning

    Junnan Li;Steven C.H. Hoi;Richard Socher

  • Prototypical Contrastive Learning of Unsupervised Representations

    Junnan Li;Pan Zhou;Caiming Xiong;Richard Socher

  • Salient Object Detection With Pyramid Attention and Salient Edges

    Wenguan Wang;Shuyang Zhao;Jianbing Shen;Steven C. H. Hoi

  • Reliable Patch Trackers: Robust visual tracking by exploiting reliable patches

    Yang Li;Jianke Zhu;Steven C.H. Hoi

  • Learning Distance Metrics with Contextual Constraints for Image Retrieval

    S.C.H. Hoi;Wei Liu;M.R. Lyu;Wei-Ying Ma

  • Semisupervised SVM batch mode active learning with applications to image retrieval

    Steven C. H. Hoi;Rong Jin;Jianke Zhu;Michael R. Lyu

  • Semi-supervised distance metric learning for collaborative image retrieval and clustering

    Steven C.h. Hoi;Wei Liu;Shih-Fu Chang

  • Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering

    Peng Gao;Zhengkai Jiang;Haoxuan You;Pan Lu

  • Online Feature Selection and Its Applications

    Jialei Wang;Peilin Zhao;Steven C. H. Hoi;Rong Jin

  • Online portfolio selection: A survey

    Bin Li;Steven C. H. Hoi

  • Large-scale text categorization by batch mode active learning

    Steven C. H. Hoi;Rong Jin;Michael R. Lyu

  • Dynamic Fusion with Intra- and Inter- Modality Attention Flow for Visual Question Answering

    Gao Peng;Zhengkai Jiang;Haoxuan You;Pan Lu

Frequent Co-Authors

Peilin Zhao
Peilin Zhao Tencent (China)
Jianke Zhu
Jianke Zhu Zhejiang University
Rong Jin
Rong Jin Alibaba Group (China)
Michael R. Lyu
Michael R. Lyu Chinese University of Hong Kong
Ying He
Ying He Nanyang Technological University
Chunyan Miao
Chunyan Miao Nanyang Technological University
Jiebo Luo
Jiebo Luo University of Rochester
Caiming Xiong
Caiming Xiong Salesforce (United States)
Tao Mei
Tao Mei Jingdong (China)

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