Steven C. H. Hoi

32.4k total citations · 10 hit papers
287 papers, 16.6k citations indexed

About

Steven C. H. Hoi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Steven C. H. Hoi has authored 287 papers receiving a total of 16.6k indexed citations (citations by other indexed papers that have themselves been cited), including 165 papers in Artificial Intelligence, 144 papers in Computer Vision and Pattern Recognition and 48 papers in Information Systems. Recurrent topics in Steven C. H. Hoi's work include Advanced Image and Video Retrieval Techniques (65 papers), Image Retrieval and Classification Techniques (47 papers) and Domain Adaptation and Few-Shot Learning (43 papers). Steven C. H. Hoi is often cited by papers focused on Advanced Image and Video Retrieval Techniques (65 papers), Image Retrieval and Classification Techniques (47 papers) and Domain Adaptation and Few-Shot Learning (43 papers). Steven C. H. Hoi collaborates with scholars based in Singapore, China and United States. Steven C. H. Hoi's co-authors include Peilin Zhao, Michael R. Lyu, Jianke Zhu, Rong Jin, Jian Chen, Zhihao Wang, Jianbing Shen, Doyen Sahoo, Pengcheng Wu and Xiongwei Wu and has published in prestigious journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Steven C. H. Hoi

284 papers receiving 16.0k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Learning for Person Re-Identification: A Survey and Outlook

2021 1.3k citations Steven C. H. Hoi et al. profile →
Deep Learning for Image Super-Resolution: A Survey

2020 1.2k citations Steven C. H. Hoi et al. profile →
Recent advances in deep learning for object detection

2020 711 citations Doyen Sahoo, Steven C. H. Hoi et al. profile →
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

2021 698 citations Yue Wang, Steven C. H. Hoi et al. profile →
Deep Learning for Content-Based Image Retrieval

2014 544 citations Steven C. H. Hoi, Jianke Zhu et al. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University) profile →
Face detection using deep learning: An improved faster RCNN approach

2018 472 citations Steven C. H. Hoi et al. profile →
Salient Object Detection With Pyramid Attention and Salient Edges

2019 411 citations Steven C. H. Hoi et al. profile →
AR-miner: mining informative reviews for developers from mobile app marketplace

2014 356 citations Steven C. H. Hoi et al. profile →
Online learning: A comprehensive survey

2021 336 citations Steven C. H. Hoi, Doyen Sahoo et al. profile →
CodeT5+: Open Code Large Language Models for Code Understanding and Generation

2023 159 citations Yue Wang, Hung Lê et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Steven C. H. Hoi Singapore	64	8.9k	6.5k	2.0k	1.4k	1.3k	287	16.6k
Olivier Chapelle United States	45	5.5k 0.6×	7.7k 1.2×	2.1k 1.1×	888 0.7×	1.0k 0.8×	89	14.1k
John Langford United States	37	6.0k 0.7×	7.2k 1.1×	1.3k 0.7×	977 0.7×	1.2k 0.9×	115	15.1k
Sankar K. Pal India	58	5.9k 0.7×	6.9k 1.1×	2.0k 1.0×	2.2k 1.6×	1.6k 1.2×	332	16.5k
Kilian Q. Weinberger United States	54	8.4k 0.9×	8.3k 1.3×	1.2k 0.6×	839 0.6×	407 0.3×	133	17.0k
Qinghua Hu China	68	9.3k 1.0×	8.7k 1.3×	4.0k 2.0×	2.1k 1.5×	1.5k 1.2×	431	23.1k
Nikhil R. Pal India	55	5.3k 0.6×	7.5k 1.2×	894 0.5×	1.7k 1.2×	1.7k 1.3×	266	15.5k
Yong Yu China	54	6.2k 0.7×	9.0k 1.4×	4.5k 2.3×	1.5k 1.1×	885 0.7×	301	16.5k
Jianmin Wang China	58	6.4k 0.7×	7.0k 1.1×	1.6k 0.8×	564 0.4×	503 0.4×	474	15.2k
Joydeep Ghosh United States	48	3.7k 0.4×	6.9k 1.1×	1.7k 0.9×	1.9k 1.4×	556 0.4×	308	14.9k
Deng Cai China	61	9.8k 1.1×	7.0k 1.1×	2.3k 1.2×	1.9k 1.4×	311 0.2×	231	15.7k

Countries citing papers authored by Steven C. H. Hoi

Since Specialization

Citations

This map shows the geographic impact of Steven C. H. Hoi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Steven C. H. Hoi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven C. H. Hoi more than expected).

Fields of papers citing papers by Steven C. H. Hoi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven C. H. Hoi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Steven C. H. Hoi. The network helps show where Steven C. H. Hoi may publish in the future.

Co-authorship network of co-authors of Steven C. H. Hoi

This figure shows the co-authorship network connecting the top 25 collaborators of Steven C. H. Hoi. A scholar is included among the top collaborators of Steven C. H. Hoi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Steven C. H. Hoi. Steven C. H. Hoi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Tiong, Anthony Meng Huat, Junnan Li, Guosheng Lin, et al.. (2023). Improving Tail-Class Representation with Centroid Contrastive Learning. Pattern Recognition Letters. 168. 123–130. 6 indexed citations

Wang, Yue, et al.. (2023). CodeT5+: Open Code Large Language Models for Code Understanding and Generation. 1069–1088. 159 indexed citations breakdown →

Li, Dongxu, Junnan Li, Hung Lê, et al.. (2023). LAVIS: A One-stop Library for Language-Vision Intelligence. 31–41. 26 indexed citations

Liu, Chenghao, et al.. (2023). OTW: Optimal Transport Warping for Time Series. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1–5.

Zhou, Pan, Yingtian Zou, Xiao–Tong Yuan, et al.. (2021). Task Similarity Aware Meta Learning: Theory-inspired Improvement on MAML. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 15 indexed citations

Pham, Quang, Chenghao Liu, Doyen Sahoo, & Steven C. H. Hoi. (2021). Contextual Transformation Networks for Online Continual Learning. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 13 indexed citations

Bai, Haoli, et al.. (2020). DART: Domain-Adversarial Residual-Transfer networks for unsupervised cross-domain image classification. Neural Networks. 127. 182–192. 34 indexed citations

Wu, Chien-Sheng, Steven C. H. Hoi, Richard Socher, & Caiming Xiong. (2020). TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue. 917–929. 125 indexed citations

Lê, Hung, Doyen Sahoo, Nancy F. Chen, & Steven C. H. Hoi. (2020). BiST: Bi-directional Spatio-Temporal Reasoning for Video-Grounded Dialogues. 1846–1859. 13 indexed citations

10.

Zhang, Wenpeng, Peilin Zhao, Wenwu Zhu, Steven C. H. Hoi, & Tong Zhang. (2017). Projection-free Distributed Online Learning in Networks. Singapore Management University Institutional Knowledge (InK) (Singapore Management University). 8. 4054–4062. 26 indexed citations

11.

Lu, Jing, Steven C. H. Hoi, Jialei Wang, Peilin Zhao, & Zhiyong Liu. (2016). Large scale online kernel learning. Journal of Machine Learning Research. 17(1). 1613–1655. 101 indexed citations

12.

Yang, Peng, Peilin Zhao, Zhen Hai, et al.. (2016). Efficient multi-class selective sampling on graphs. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 805–814. 3 indexed citations

13.

Li, Bin, et al.. (2016). OLPS: a toolbox for on-line portfolio selection. Journal of Machine Learning Research. 17(1). 1242–1246. 22 indexed citations

14.

Zhao, Liang, Limsoon Wong, Lanyuan Lu, Steven C. H. Hoi, & Jinyan Li. (2012). B-cell epitope prediction through a graph model. BMC Bioinformatics. 13(S17). S20–S20. 33 indexed citations

15.

Zhuang, Jinfeng, Ivor W. Tsang, & Steven C. H. Hoi. (2011). A Family of Simple Non-Parametric Kernel Learning Algorithms. Journal of Machine Learning Research. 12(36). 1313–1347. 46 indexed citations

16.

Zhao, Peilin, Rong Jin, Tianbao Yang, & Steven C. H. Hoi. (2011). Online AUC Maximization. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 233–240. 114 indexed citations

17.

Hoi, Steven C. H., Michal Jacovi, Ioannis Kompatsiaris, et al.. (2011). Proceedings of the 3rd ACM SIGMM international workshop on Social media.

18.

Zhao, Peilin & Steven C. H. Hoi. (2010). OTL: A Framework of Online Transfer Learning. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 1231–1238. 67 indexed citations

19.

Hoi, Steven C. H. & Rong Jin. (2008). Semi-supervised ensemble ranking. Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University). 634–639. 22 indexed citations

20.

Hoi, Steven C. H., Jianke Zhu, & Michael R. Lyu. (2005). CUHK Experiments with ImageCLEF 2005. CLEF (Working Notes). 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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