Steven C. H. Hoi

32.4k citations
287 papers · 16.6k indexed · 10 hit papers · h-index 64

Steven C. H. Hoi

284 papers receiving 16.0k citations

Hit Papers

CodeT5+: Open Code L...15920142026201820224008001.2k

Peers

Steven C. H. Hoi
Comparison fields: 5 of 192
  • Computer Vision and Pattern Recognition 8.9k
  • Artificial Intelligence 6.5k
  • Media Technology 1.4k
  • Software 424
  • Management Science and Operations Research 1.3k
Replace Yoram Singer with:
Yoram Singer Israel
Avrim Blum United States
Thomas G. Dietterich United States
David McAllester United States
Arthur Asuncion United States
Quoc V. Le United States
Alberto Fernández Spain
Martin Riedmiller Germany
Janez Demšar Slovenia
Olivier Chapelle United States
Steven C. H. Hoi relative to Yoram Singer Israel Yoram Singer's profile →
Citations per field
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Yoram Singer · 1×
Citations per year

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

The 25 scholars most cited alongside Steven C. H. Hoi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Steven C. H. Hoi Line = papers co-authored together Steven C. H. Hoi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20236
2
CodeT5+: Open Code Large Language Models for Code Understanding and Generationbreakdown →
2023159
3 202326
4
Task Similarity Aware Meta Learning: Theory-inspired Improvement on MAML
202115
5 202038
6 202011
7 202013
8
Efficient multi-class selective sampling on graphs
20163
9 20168
10
Cost sensitive online multiple kernel classification
201610
11 201592
12
Online Passive Aggressive Active Learning and Its Applications
201414
13
LIBOL: a library for online learning algorithms
2014125
14
Large scale online kernel classification
201313
15
Proceedings of the 3rd ACM SIGMM international workshop on Social media
20110
16 201166
17
Two-layer multiple kernel learning
201156
18
Semi-supervised ensemble ranking
200822
19
Chinese University of Hong Kong at TRECVID 2006: Shot Boundary Detection and Video Search
200615
20
CUHK Experiments with ImageCLEF 2005
20051

About Steven C. H. Hoi

Steven C. H. Hoi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Management Science and Operations Research, having authored 287 papers that have together received 16.6k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (65 papers), Image Retrieval and Classification Techniques (47 papers), Domain Adaptation and Few-Shot Learning (43 papers), Face and Expression Recognition (40 papers), Data Stream Mining Techniques (38 papers), Machine Learning and Algorithms (34 papers), Advanced Bandit Algorithms Research (32 papers) and Multimodal Machine Learning Applications (30 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (8.9k citations), Artificial Intelligence (6.5k citations) and Media Technology (1.4k citations). Steven C. H. Hoi has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Peilin Zhao, Michael R. Lyu, Jianke Zhu, Rong Jin, Zhihao Wang, Jian Chen, Jianbing Shen, Doyen Sahoo, Pengcheng Wu and Xiongwei Wu. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Neurocomputing, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia and ACM Transactions on Knowledge Discovery from Data.

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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