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Researcher · The University of Sydney · Australia

Tongliang Liu

Tongliang Liu publishes mostly in Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, on topics such as Machine Learning and Data Classification, Domain Adaptation and Few-Shot Learning and Adversarial Robustness in Machine Learning.

ORCID 0000-0002-9640-6472 OpenAlex
World rank
#30,331
of 7,710,434 ranked researchers
Rank in Australia
#844
of 140,210
Works
500
Citations
14k
Citations per work
27.6
h-index
62
i10-index 195Top 0.5% in Artificial Intelligence
Tongliang Liu

What does Tongliang Liu research?

Tongliang Liu's work is mostly in Computer Science (74%), Engineering (3%).

Physical Sciences: 389 works · 77.8% of their workComputer Science: 372 works · 74.4% of their workArtificial Intelligence: 234 works · 46.7% of their workComputer Vision and Pattern Recognition: 118 works · 23.5% of their workSignal Processing: 12 works · 2.5% of their workInformation Systems: 8 works · 1.7% of their workEngineering: 17 works · 3.4% of their workComputational Mechanics: 10 works · 1.9% of their workCivil and Structural Engineering: 8 works · 1.5% of their workEverything else: 111 works · 22.2% of their workTHEIR WORKTongliang Liu500works
Physical Sciences78%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science37274.4%
    2. Engineering173.4%
  2. Everything else11122.2%
  1. 1Artificial Intelligence47% of their works
  2. 2Computer Vision and Pattern Recognition24% of their works
  3. 3Signal Processing2% of their works
  4. 4Computational Mechanics2% of their works
  5. 5Information Systems2% of their works
  6. 6Civil and Structural Engineering2% of their works

Research topics

Which keywords describe Tongliang Liu's research?

The keywords of their largest research topics: Deep Learning, Meta-Learning, Neural Networks, Semi-Supervised Learning, Hyperparameter Optimization, Machine Learning, Noisy Labels and Image Classification.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 22 words, with their numbers
  1. Deep Learning3166 topics
  2. Meta-Learning2122 topics
  3. Neural Networks1733 topics
  4. Semi-Supervised Learning1462 topics
  5. Hyperparameter Optimization1201 topic
  6. Machine Learning1202 topics
  7. Noisy Labels1201 topic
  8. Image Classification982 topics
  9. Domain Adaptation921 topic
  10. Transfer Learning921 topic
  11. Adversarial Examples661 topic
  12. Robustness661 topic
  13. Anomaly Detection571 topic
  14. Unsupervised571 topic
  15. Active Learning541 topic
  16. Gaussian Processes541 topic
  17. Image Captioning501 topic
  18. Visual Question Answering501 topic
  19. Feature Matching451 topic
  20. Local Descriptors451 topic
  21. Convolutional Neural Networks441 topic
  22. Image Recognition441 topic

Where does Tongliang Liu work?

Tongliang Liu's main affiliation in the publication record is The University of Sydney, Australia.

How many publications and citations does Tongliang Liu have?

OpenAlex counts 500 works and 13,787 citations for Tongliang Liu, an h-index of 62, ranking #30,331 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Other researchers named Tongliang Liu

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

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