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University of Sydney: Sydney, NSW, AU

(School of Computer Science)
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Tongliang Liu

Works (50 of 271)

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Page 1 of 6

COMBATING EXACERBATED HETEROGENEITY FOR ROBUST MODELS IN FEDERATED LEARNING

arXiv
2023 | Other
DOI: 10.48550/arXiv.2303.00250
EID:

2-s2.0-85150329751

Part of ISSN: 23318422
Contributors: Zhu, J.; Yao, J.; Liu, T.; Yao, Q.; Xu, J.; Han, B.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier
grade
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EXPLOIT CAM BY ITSELF: COMPLEMENTARY LEARNING SYSTEM FOR WEAKLY SUPERVISED SEMANTIC SEGMENTATION

arXiv
2023 | Other
DOI: 10.48550/arXiv.2303.02449
EID:

2-s2.0-85150325992

Part of ISSN: 23318422
Contributors: Mai, J.; Zhang, F.; Ye, J.; Kalander, M.; Zhang, X.; Yang, W.; Liu, T.; Han, B.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier
grade
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Extended T: Learning With Mixed Closed-Set and Open-Set Noisy Labels

IEEE Transactions on Pattern Analysis and Machine Intelligence
2023 | Journal article
DOI: 10.1109/TPAMI.2022.3180545
EID:

2-s2.0-85131762775

Part of ISSN: 19393539 01628828
Contributors: Xia, X.; Han, B.; Wang, N.; Deng, J.; Li, J.; Mao, Y.; Liu, T.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier
grade
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Handling Open-set Noise and Novel Target Recognition in Domain Adaptive Semantic Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence
2023 | Journal article
DOI: 10.1109/TPAMI.2023.3246392
EID:

2-s2.0-85149380495

Part of ISSN: 19393539 01628828
Contributors: Guo, X.; Liu, J.; Liu, T.; Yuan, Y.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier

HumanMAC: Masked Motion Completion for Human Motion Prediction

arXiv
2023 | Other
DOI: 10.48550/arXiv.2302.03665
EID:

2-s2.0-85148428205

Part of ISSN: 23318422
Contributors: Chen, L.-H.; Zhang, J.; Li, Y.; Pang, Y.; Xia, X.; Liu, T.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier

Relation-Aware Fine-Grained Reasoning Network for Textbook Question Answering

IEEE Transactions on Neural Networks and Learning Systems
2023 | Journal article
DOI: 10.1109/TNNLS.2021.3089140
EID:

2-s2.0-85112196027

Part of ISSN: 21622388 2162237X
Contributors: Ma, J.; Liu, J.; Wang, Y.; Li, J.; Liu, T.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier
grade
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A Machine Learning Approach for Predicting Human Preference for Graph Drawings

Journal of Graph Algorithms and Applications
2022 | Journal article
DOI: 10.7155/JGAA.00603
EID:

2-s2.0-85139855369

Part of ISSN: 15261719
Contributors: Cai, S.; Hong, S.-H.; Shen, J.; Liu, T.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier

A machine learning approach for predicting human shortest path task performance

Visual Informatics
2022 | Journal article
DOI: 10.1016/j.visinf.2022.04.001
EID:

2-s2.0-85133703870

Part of ISSN: 2468502X 25432656
Contributors: Cai, S.; Hong, S.-H.; Xia, X.; Liu, T.; Huang, W.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier

Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks

arXiv
2022 | Other
DOI: 10.48550/arXiv.2211.00269
EID:

2-s2.0-85142789609

Part of ISSN: 23318422
Contributors: Zhou, J.; Zhu, J.; Zhang, J.; Liu, T.; Niu, G.; Han, B.; Sugiyama, M.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier
grade
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Bilateral Dependency Optimization: Defending Against Model-inversion Attacks

arXiv
2022 | Other
DOI: 10.48550/arXiv.2206.05483
EID:

2-s2.0-85136104714

Part of ISSN: 23318422
Contributors: Peng, X.; Liu, F.; Zhang, J.; Lan, L.; Ye, J.; Liu, T.; Han, B.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier
grade
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Bilateral Dependency Optimization: Defending Against Model-inversion Attacks

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
2022 | Conference paper
DOI: 10.1145/3534678.3539376
EID:

2-s2.0-85137141247
Contributors: Peng, X.; Liu, F.; Zhang, J.; Lan, L.; Ye, J.; Liu, T.; Han, B.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier

Bridging the Gap Between Few-Shot and Many-Shot Learning via Distribution Calibration

IEEE Transactions on Pattern Analysis and Machine Intelligence
2022 | Journal article
DOI: 10.1109/TPAMI.2021.3132021
EID:

2-s2.0-85120918172

Part of ISSN: 19393539 01628828
Contributors: Yang, S.; Wu, S.; Liu, T.; Xu, M.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier

CAUSALADV: ADVERSARIAL ROBUSTNESS THROUGH THE LENS OF CAUSALITY

ICLR 2022 - 10th International Conference on Learning Representations
2022 | Conference paper
EID:

2-s2.0-85150392005
Contributors: Zhang, Y.; Gong, M.; Liu, T.; Niu, G.; Tian, X.; Han, B.; Schölkopf, B.; Zhang, K.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier

Counterfactual Fairness with Partially Known Causal Graph

arXiv
2022 | Other
DOI: 10.48550/arXiv.2205.13972
EID:

2-s2.0-85147907245

Part of ISSN: 23318422
Contributors: Zuo, A.; Liu, T.; Zhang, K.; Wei, S.; Han, B.; Gong, M.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier
grade
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COVID-MTL: Multitask learning with Shift3D and random-weighted loss for COVID-19 diagnosis and severity assessment

Pattern Recognition
2022 | Journal article
DOI: 10.1016/j.patcog.2021.108499
EID:

2-s2.0-85121753336

Part of ISSN: 00313203
Contributors: Bao, G.; Chen, H.; Liu, T.; Gong, G.; Yin, Y.; Wang, L.; Wang, X.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier
grade
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CRIS: CLIP-Driven Referring Image Segmentation

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
2022 | Conference paper
DOI: 10.1109/CVPR52688.2022.01139
EID:

2-s2.0-85132173599

Part of ISSN: 10636919
Contributors: Wang, Z.; Lu, Y.; Li, Q.; Tao, X.; Guo, Y.; Gong, M.; Liu, T.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier
grade
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DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting

arXiv
2022 | Other
DOI: 10.48550/arXiv.2211.10772
EID:

2-s2.0-85143444710

Part of ISSN: 23318422
Contributors: Ye, M.; Zhang, J.; Zhao, S.; Liu, J.; Liu, T.; Du, B.; Tao, D.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier

Do We Need to Penalize Variance of Losses for Learning with Label Noise?

arXiv
2022 | Other
EID:

2-s2.0-85124523864

Part of ISSN: 23318422
Contributors: Lin, Y.; Yao, Y.; Du, Y.; Yu, J.; Han, B.; Gong, M.; Liu, T.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier

Efficient bipartite entanglement detection scheme with a quantum adversarial solver

arXiv
2022 | Other
EID:

2-s2.0-85127302848

Part of ISSN: 23318422
Contributors: Yin, X.-F.; Du, Y.; Fei, Y.-Y.; Zhang, R.; Liu, L.-Z.; Mao, Y.; Liu, T.; Hsieh, M.-H.; Li, L.; Liu, N.-L. et al.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier

Efficient Bipartite Entanglement Detection Scheme with a Quantum Adversarial Solver

Physical Review Letters
2022 | Journal article
DOI: 10.1103/PhysRevLett.128.110501
EID:

2-s2.0-85126975364

Part of ISSN: 10797114 00319007
Contributors: Yin, X.-F.; Du, Y.; Fei, Y.-Y.; Zhang, R.; Liu, L.-Z.; Mao, Y.; Liu, T.; Hsieh, M.-H.; Li, L.; Liu, N.-L. et al.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier
grade
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Erratum: Expressive power of parametrized quantum circuits (Phys. Rev. Research (2020) 2 (033125) DOI: 10.1103/PhysRevResearch.4.033125)

Physical Review Research
2022 | Journal article
DOI: 10.1103/PhysRevResearch.4.029003
EID:

2-s2.0-85134509565

Part of ISSN: 26431564
Contributors: Du, Y.; Hsieh, M.-H.; Liu, T.; Tao, D.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier
grade
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Erratum: Learnability of Quantum Neural Networks (PRX Quantum (2021) 2 (040337) DOI: 10.1103/PRXQuantum.2.040337)

PRX Quantum
2022 | Journal article
DOI: 10.1103/PRXQuantum.3.030901
EID:

2-s2.0-85137709045

Part of ISSN: 26913399
Contributors: Du, Y.; Hsieh, M.-H.; Liu, T.; You, S.; Tao, D.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier

EXPLOITING CLASS ACTIVATION VALUE FOR PARTIAL-LABEL LEARNING

ICLR 2022 - 10th International Conference on Learning Representations
2022 | Conference paper
EID:

2-s2.0-85150342876
Contributors: Zhang, F.; Feng, L.; Han, B.; Liu, T.; Niu, G.; Qin, T.; Sugiyama, M.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier

Exploring Language Hierarchy for Video Grounding

IEEE Transactions on Image Processing
2022 | Journal article
DOI: 10.1109/TIP.2022.3187288
EID:

2-s2.0-85134266719

Part of ISSN: 19410042 10577149
Contributors: Ding, X.; Wang, N.; Zhang, S.; Huang, Z.; Li, X.; Tang, M.; Liu, T.; Gao, X.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier
grade
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Exploring Set Similarity for Dense Self-supervised Representation Learning

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
2022 | Conference paper
DOI: 10.1109/CVPR52688.2022.01609
EID:

2-s2.0-85140764133

Part of ISSN: 10636919
Contributors: Wang, Z.; Li, Q.; Zhang, G.; Wan, P.; Zheng, W.; Wang, N.; Gong, M.; Liu, T.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier

Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities

arXiv
2022 | Other
EID:

2-s2.0-85129486312

Part of ISSN: 23318422
Contributors: Liu, C.; Zhan, Y.; Li, C.; Du, B.; Wu, J.; Hu, W.; Liu, T.; Tao, D.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier

Harnessing Out-Of-Distribution Examples via Augmenting Content and Style

arXiv
2022 | Other
DOI: 10.48550/arXiv.2207.03162
EID:

2-s2.0-85134093129

Part of ISSN: 23318422
Contributors: Huang, Z.; Xia, X.; Shen, L.; Han, B.; Gong, M.; Gong, C.; Liu, T.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier

Heterogeneous Graph Attention Network for Unsupervised Multiple-Target Domain Adaptation

IEEE Transactions on Pattern Analysis and Machine Intelligence
2022 | Journal article
DOI: 10.1109/TPAMI.2020.3026079
EID:

2-s2.0-85125882676

Part of ISSN: 19393539 01628828
Contributors: Yang, X.; Deng, C.; Liu, T.; Tao, D.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier

Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations

arXiv
2022 | Other
DOI: 10.48550/arXiv.2210.05955
EID:

2-s2.0-85140395857

Part of ISSN: 23318422
Contributors: Wang, Y.; Huang, W.; Gong, M.; Geng, X.; Liu, T.; Zhang, K.; Tao, D.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier
grade
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Improving Adversarial Robustness via Mutual Information Estimation

arXiv
2022 | Other
DOI: 10.48550/arXiv.2207.12203
EID:

2-s2.0-85135743877

Part of ISSN: 23318422
Contributors: Zhou, D.; Wang, N.; Gao, X.; Han, B.; Wang, X.; Zhan, Y.; Liu, T.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier
grade
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Improving Medical Images Classification with Label Noise Using Dual-Uncertainty Estimation

IEEE Transactions on Medical Imaging
2022 | Journal article
DOI: 10.1109/TMI.2022.3141425
EID:

2-s2.0-85122854096

Part of ISSN: 1558254X 02780062
Contributors: Ju, L.; Wang, X.; Wang, L.; Mahapatra, D.; Zhao, X.; Zhou, Q.; Liu, T.; Ge, Z.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier

Improving Supervised Learning in Conversational Analysis through Reusing Preprocessing Data as Auxiliary Supervisors

ACM International Conference Proceeding Series
2022 | Conference paper
DOI: 10.1145/3536220.3558034
EID:

2-s2.0-85142365878
Contributors: Kim, J.Y.; Liu, T.; Yacef, K.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier

Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation

arXiv
2022 | Other
DOI: 10.48550/arXiv.2206.02791
EID:

2-s2.0-85132446682

Part of ISSN: 23318422
Contributors: Cheng, D.; Liu, T.; Ning, Y.; Wang, N.; Han, B.; Niu, G.; Gao, X.; Sugiyama, M.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier
grade
Preferred source (of 2)‎

Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
2022 | Conference paper
DOI: 10.1109/CVPR52688.2022.01613
EID:

2-s2.0-85134064155

Part of ISSN: 10636919
Contributors: Cheng, D.; Liu, T.; Ning, Y.; Wang, N.; Han, B.; Niu, G.; Gao, X.; Sugiyama, M.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier

Instance-Dependent Positive and Unlabeled Learning With Labeling Bias Estimation

IEEE Transactions on Pattern Analysis and Machine Intelligence
2022 | Journal article
DOI: 10.1109/TPAMI.2021.3061456
EID:

2-s2.0-85101746826

Part of ISSN: 19393539 01628828
Contributors: Gong, C.; Wang, Q.; Liu, T.; Han, B.; You, J.; Yang, J.; Tao, D.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier

Killing Two Birds with One Stone: Efficient and Robust Training of Face Recognition CNNs by Partial FC

arXiv
2022 | Other
EID:

2-s2.0-85128012699

Part of ISSN: 23318422
Contributors: An, X.; Deng, J.; Guo, J.; Feng, Z.; Zhu, X.; Yang, J.; Liu, T.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier

Killing Two Birds with One Stone: Efficient and Robust Training of Face Recognition CNNs by Partial FC

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
2022 | Conference paper
DOI: 10.1109/CVPR52688.2022.00401
EID:

2-s2.0-85138210367

Part of ISSN: 10636919
Contributors: An, X.; Deng, J.; Guo, J.; Feng, Z.; Zhu, X.; Yang, J.; Liu, T.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier

Label Propagated Nonnegative Matrix Factorization for Clustering

IEEE Transactions on Knowledge and Data Engineering
2022 | Journal article
DOI: 10.1109/TKDE.2020.2982387
EID:

2-s2.0-85106341807

Part of ISSN: 15582191 10414347
Contributors: Lan, L.; Liu, T.; Zhang, X.; Xu, C.; Luo, Z.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier

Laplacian Welsch Regularization for Robust Semisupervised Learning

IEEE Transactions on Cybernetics
2022 | Journal article
DOI: 10.1109/TCYB.2019.2953337
EID:

2-s2.0-85123649350

Part of ISSN: 21682275 21682267
Contributors: Ke, J.; Gong, C.; Liu, T.; Zhao, L.; Yang, J.; Tao, D.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier
grade
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Learning and Mining with Noisy Labels

International Conference on Information and Knowledge Management, Proceedings
2022 | Conference paper
DOI: 10.1145/3511808.3557504
EID:

2-s2.0-85140922356
Contributors: Sugiyama, M.; Liu, T.; Han, B.; Liu, Y.; Niu, G.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier

Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs

arXiv
2022 | Other
DOI: 10.48550/arXiv.2202.05441
EID:

2-s2.0-85141890787

Part of ISSN: 23318422
Contributors: Chen, Y.; Zhang, Y.; Bian, Y.; Yang, H.; Ma, K.; Xie, B.; Liu, T.; Han, B.; Cheng, J.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier

Learning from Noisy Pairwise Similarity and Unlabeled Data

Journal of Machine Learning Research
2022 | Journal article
EID:

2-s2.0-85148056384

Part of ISSN: 15337928 15324435
Contributors: Wu, S.; Liu, T.; Han, B.; Yu, J.; Niu, G.; Sugiyama, M.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier

LEARNING WITH NOISY LABELS REVISITED: A STUDY USING REAL-WORLD HUMAN ANNOTATIONS

ICLR 2022 - 10th International Conference on Learning Representations
2022 | Conference paper
EID:

2-s2.0-85142681751
Contributors: Wei, J.; Zhu, Z.; Cheng, H.; Liu, T.; Niu, G.; Liu, Y.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier

LR-SVM+: Learning Using Privileged Information with Noisy Labels

IEEE Transactions on Multimedia
2022 | Journal article
DOI: 10.1109/TMM.2021.3116417
EID:

2-s2.0-85118623599

Part of ISSN: 19410077 15209210
Contributors: Wu, Z.; Xia, X.; Wang, R.; Li, J.; Yu, J.; Mao, Y.; Liu, T.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier
grade
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MAPS: A Dataset for Semantic Profiling and Analysis of Android Applications

Proceedings of the 17th ACM Workshop on Mobility in the Evolving Internet Architecture, MobiArch 2022
2022 | Conference paper
DOI: 10.1145/3556548.3559629
EID:

2-s2.0-85141054231
Contributors: Pasdar, A.; Lee, Y.C.; Hong, S.-H.; Liu, T.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier
grade
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META DISCOVERY: LEARNING TO DISCOVER NOVEL CLASSES GIVEN VERY LIMITED DATA

ICLR 2022 - 10th International Conference on Learning Representations
2022 | Conference paper
EID:

2-s2.0-85144886709
Contributors: Chi, H.; Liu, F.; Han, B.; Yang, W.; Lan, L.; Liu, T.; Niu, G.; Zhou, M.; Sugiyama, M.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier

MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models

arXiv
2022 | Other
DOI: 10.48550/arXiv.2205.13869
EID:

2-s2.0-85131595891

Part of ISSN: 23318422
Contributors: Gao, E.; Ng, I.; Gong, M.; Shen, L.; Huang, W.; Liu, T.; Zhang, K.; Bondell, H.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier
grade
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MSR: Making Self-supervised learning Robust to Aggressive Augmentations

arXiv
2022 | Other
DOI: 10.48550/arXiv.2206.01999
EID:

2-s2.0-85132485554

Part of ISSN: 23318422
Contributors: Bai, Y.; Yang, E.; Wang, Z.; Du, Y.; Han, B.; Deng, C.; Wang, D.; Liu, T.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier

Mutual Quantization for Cross-Modal Search with Noisy Labels

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
2022 | Conference paper
DOI: 10.1109/CVPR52688.2022.00740
EID:

2-s2.0-85141779851

Part of ISSN: 10636919
Contributors: Yang, E.; Yao, D.; Liu, T.; Deng, C.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier
grade
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Nonlinear Multi-Model Reuse

2022 IEEE 24th International Workshop on Multimedia Signal Processing, MMSP 2022
2022 | Conference paper
DOI: 10.1109/MMSP55362.2022.9949516
EID:

2-s2.0-85143596104
Contributors: Luo, Y.; Duan, L.-Y.; Bai, Y.; Liu, T.; Lou, Y.; Wen, Y.
Source: Self-asserted source
Tongliang Liu via Scopus - Elsevier
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Peer review (7 reviews for 3 publications/grants)

Review activity for Knowledge and information systems. (1)
Review activity for Machine learning. (5)
Review activity for SN computer science. (1)
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