Tongliang Liu - Concepedia

Author

Tongliang Liu

Also Known As

Liansheng Zhuang, Liu Tongliang, Liu, Junhao, Liu, T, Liu, Tongliang, Liu, Yang, Mi, Peng, Tongliang Liu, Wang, Nannan, Wang, Xinchao

502

Publications

12.8K

Citations

H-Index

197

Concepts

All Affiliations

The University of Sydney University of Technology Sydney Xidian University University of Science and Technology of China Hong Kong Baptist University

About

Tongliang Liu is an author at The University of Sydney specializing in machine learning, engineering, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	53	136	8.9K
2	Business	7	7	489
3	Language Studies	5	5	141
4	Education	3	3	75
5	Health Sciences	3	3	187

Tongliang Liu

179

Publications

11.1K

Citations

H-Index

Page 1

	Year	Citations
Classification with Noisy Labels by Importance Reweighting Tongliang Liu, Dacheng Tao IEEE Transactions on Pattern Analysis and Machine Intelligence	2015	791
On Compressing Deep Models by Low Rank and Sparse Decomposition Xiyu Yu, Tongliang Liu, Xinchao Wang, Convolutional Neural NetworkEngineeringMachine LearningDeep Compression RefersAtomic Decomposition	2017	420
Why ResNet Works? Residuals Generalize Fengxiang He, Tongliang Liu, Dacheng Tao IEEE Transactions on Neural Networks and Learning Systems Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningModel Refinement	2020	356
CRIS: CLIP-Driven Referring Image Segmentation Zhaoqing Wang, Yu Lu, Qiang Li, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Scene AnalysisEngineeringMachine LearningImage Segmen-tation FrameworkImage Sequence Analysis	2022	316
Multiple Kernel k-means with Incomplete Kernels Xinwang Liu, Wen Gao, Xinzhong Zhu, IEEE Transactions on Pattern Analysis and Machine Intelligence Cluster ComputingEngineeringMachine LearningData ScienceData Mining	2019	295
Fast Supervised Discrete Hashing Jie Gui, Tongliang Liu, Zhenan Sun, IEEE Transactions on Pattern Analysis and Machine Intelligence Artificial IntelligenceEngineeringMachine LearningDiscrete HashingSupervised Discrete Hashing	2017	279
Domain Adaptation with Conditional Transferable Components. Mingming Gong, Kun Zhang, Tongliang Liu, PubMed	2016	222
Spectral Ensemble Clustering via Weighted K-Means: Theoretical and Practical Evidence Hongfu Liu, Junjie Wu, Tongliang Liu, IEEE Transactions on Knowledge and Data Engineering Spectral TheoryCluster ComputingEngineeringMachine LearningEnsemble Algorithm	2017	202
Selective-Supervised Contrastive Learning with Noisy Labels Shikun Li, Xiaobo Xia, Shiming Ge, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Few-shot LearningStructured PredictionEngineeringMachine LearningData Science	2022	196
Domain Generalization via Conditional Invariant Representations Ya Li, Mingming Gong, Xinmei Tian, Proceedings of the AAAI Conference on Artificial Intelligence Artificial IntelligenceEngineeringMachine LearningData SciencePattern Recognition	2018	171

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