Ivor W. Tsang

19.6k total citations · 5 hit papers
280 papers, 12.1k citations indexed

About

Ivor W. Tsang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Ivor W. Tsang has authored 280 papers receiving a total of 12.1k indexed citations (citations by other indexed papers that have themselves been cited), including 195 papers in Artificial Intelligence, 139 papers in Computer Vision and Pattern Recognition and 32 papers in Computational Mechanics. Recurrent topics in Ivor W. Tsang's work include Face and Expression Recognition (56 papers), Domain Adaptation and Few-Shot Learning (56 papers) and Advanced Image and Video Retrieval Techniques (55 papers). Ivor W. Tsang is often cited by papers focused on Face and Expression Recognition (56 papers), Domain Adaptation and Few-Shot Learning (56 papers) and Advanced Image and Video Retrieval Techniques (55 papers). Ivor W. Tsang collaborates with scholars based in Singapore, Australia and China. Ivor W. Tsang's co-authors include James T. Kwok, Lixin Duan, Dong Xu, Shenghua Gao, Liang-Tien Chia, Dong Xu, Pak-Ming Cheung, Yew-Soon Ong, Feiping Nie and Mingkui Tan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Hypertension and IEEE Transactions on Image Processing.

In The Last Decade

Ivor W. Tsang

265 papers receiving 11.7k 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.

Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

2018 664 citations Bo Han, Xingrui Yu et al. profile →
Core Vector Machines: Fast SVM Training on Very Large Data Sets

2005 657 citations Ivor W. Tsang, James T. Kwok et al. profile →
Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction

2010 425 citations Ivor W. Tsang et al. IEEE Transactions on Image Processing profile →
Local features are not lonely – Laplacian sparse coding for image classification

2010 307 citations Ivor W. Tsang et al. profile →
Laplacian Sparse Coding, Hypergraph Laplacian Sparse Coding, and Applications

2012 274 citations Ivor W. Tsang et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers

Countries citing papers authored by Ivor W. Tsang

Since Specialization

Citations

This map shows the geographic impact of Ivor W. Tsang'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 Ivor W. Tsang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivor W. Tsang more than expected).

Fields of papers citing papers by Ivor W. Tsang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivor W. Tsang. 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 Ivor W. Tsang. The network helps show where Ivor W. Tsang may publish in the future.

Co-authorship network of co-authors of Ivor W. Tsang

This figure shows the co-authorship network connecting the top 25 collaborators of Ivor W. Tsang. A scholar is included among the top collaborators of Ivor W. Tsang 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 Ivor W. Tsang. Ivor W. Tsang 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

#	Work	Indexed citations
1	DXA-Net: Dual-Task Cross-Lingual Alignment Network for Zero-Shot Cross-Lingual Spoken Language Understanding 2025 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·(unknown), Libo Qin, (unknown), Yu Zhou, Ivor W. Tsang	0
2	Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation 2025 ·ACM Computing Surveys ·Xiaofeng Cao, (unknown), Xin Yu, Jiangchao Yao, Wei Ye, Sheng-Jun Huang, Min-Ling Zhang, Ivor W. Tsang, Yew-Soon Ong, James T. Kwok, Heng Tao Shen	0
3	USN: A Robust Imitation Learning Method against Diverse Action Noise 2024 ·Journal of Artificial Intelligence Research ·Xingrui Yu, Bo Han, Ivor W. Tsang	1
4	DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language Understanding 2024 ·(unknown), Lizi Liao, Minlie Huang, Ivor W. Tsang	2
5	Multi-objective meta-learning 2024 ·Artificial Intelligence ·(unknown), (unknown), (unknown), (unknown), Ivor W. Tsang	6
6	Association of Blood Pressure With Brain Ages: A Cohort Study of Gray and White Matter Aging Discrepancy in Mid-to-Older Adults From UK Biobank 2024 ·Hypertension ·(unknown), (unknown), Jiyang Jiang, Yue Liu, Ben C. P. Lam, Aletta E. Schutte, Ivor W. Tsang, Perminder S. Sachdev, Wei Wen	3
7	Euclidean Distance is Not Your Swiss Army Knife 2024 ·IEEE Transactions on Knowledge and Data Engineering ·(unknown), Yixi Liu, Hongjie Wu, Shudong Huang, Zenglin Xu, Ivor W. Tsang, Jiancheng Lv	2
8	Exploiting Contextual Target Attributes for Target Sentiment Classification 2024 ·Journal of Artificial Intelligence Research ·(unknown), Ivor W. Tsang	1
9	DifFormer: Multi-Resolutional Differencing Transformer With Dynamic Ranging for Time Series Analysis 2023 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Bing Li, Wei Cui, Le Zhang, Ce Zhu, Wei Wang, Ivor W. Tsang, Joey Tianyi Zhou	25
10	Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement 2023 ·IEEE Transactions on Knowledge and Data Engineering ·(unknown), Liang Hu, Xiaofeng Cao, Yi Chang, Ivor W. Tsang	4
11	Missingness-Pattern-Adaptive Learning With Incomplete Data 2023 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Yongshun Gong, Zhibin Li, Wei Liu, Xiankai Lu, Xinwang Liu, Ivor W. Tsang, Yilong Yin	4
12	A Multi-View Multi-Task Learning Framework for Multi-Variate Time Series Forecasting 2022 ·IEEE Transactions on Knowledge and Data Engineering ·Jinliang Deng, Xiusi Chen, Renhe Jiang, Xuan Song, Ivor W. Tsang	35
13	Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation 2020 ·IEEE Transactions on Intelligent Transportation Systems ·Liang Feng, Yuxiao Huang, Ivor W. Tsang, Abhishek Gupta, Ke Tang, Kay Chen Tan, Yew-Soon Ong	33
14	Complementary Attributes: A New Clue to Zero-Shot Learning 2019 ·IEEE Transactions on Cybernetics ·Xiaofeng Xu, Ivor W. Tsang, (unknown)	16
15	Domain Adaption via Feature Selection on Explicit Feature Map 2018 ·IEEE Transactions on Neural Networks and Learning Systems ·Wanyu Deng, Amaury Lendasse, Yew-Soon Ong, Ivor W. Tsang, Chen Lin, Qinghua Zheng	33
16	Late Fusion via Subspace Search With Consistency Preservation 2018 ·IEEE Transactions on Image Processing ·Xuanyi Dong, Yan Yan, Mingkui Tan, Yi Yang, Ivor W. Tsang	31
17	VR-SGD: A Simple Stochastic Variance Reduction Method for Machine Learning 2018 ·IEEE Transactions on Knowledge and Data Engineering ·Fanhua Shang, Kaiwen Zhou, Hongying Liu, James Cheng, Ivor W. Tsang, Lijun Zhang, Dacheng Tao, Licheng Jiao	43
18	Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis, and Case Study 2018 ·IEEE Transactions on Knowledge and Data Engineering ·Yan Yan, Mingkui Tan, Ivor W. Tsang, Yi Yang, Qinfeng Shi, Chengqi Zhang	4
19	Riemannian Pursuit for Big Matrix Recovery 2014 ·UTS ePRESS (University of Technology Sydney) ·Mingkui Tan, Ivor W. Tsang, Li Wang, Bart Vandereycken, Sinno Jialin Pan	31
20	Ensembles of partially trained SWMs with multiplicative updates 2007 ·International Joint Conference on Artificial Intelligence ·Ivor W. Tsang, James T. Kwok	1

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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