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Tongliang Liu
- > Home > Persons > Tongliang Liu
Publications
- 2023
- [c118]Dawei Zhou, Yukun Chen, Nannan Wang, Decheng Liu, Xinbo Gao, Tongliang Liu:
Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration. ICML 2023: 42517-42530 - [c117]Dawei Zhou, Nannan Wang, Heng Yang, Xinbo Gao, Tongliang Liu:
Phase-aware Adversarial Defense for Improving Adversarial Robustness. ICML 2023: 42724-42741 - [i132]Liangchen Liu, Nannan Wang, Dawei Zhou, Xinbo Gao, Decheng Liu, Xi Yang, Tongliang Liu:
Gradient constrained sharpness-aware prompt learning for vision-language models. CoRR abs/2309.07866 (2023) - 2022
- [j53]Xinpeng Ding, Nannan Wang, Shiwei Zhang, Ziyuan Huang, Xiaomeng Li, Mingqian Tang, Tongliang Liu, Xinbo Gao:
Exploring Language Hierarchy for Video Grounding. IEEE Trans. Image Process. 31: 4693-4706 (2022) - [c92]De Cheng, Tongliang Liu, Yixiong Ning, Nannan Wang, Bo Han, Gang Niu, Xinbo Gao, Masashi Sugiyama:
Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation. CVPR 2022: 16609-16618 - [c78]Dawei Zhou, Nannan Wang, Xinbo Gao, Bo Han, Xiaoyu Wang, Yibing Zhan, Tongliang Liu:
Improving Adversarial Robustness via Mutual Information Estimation. ICML 2022: 27338-27352 - [c67]De Cheng, Yixiong Ning, Nannan Wang, Xinbo Gao, Heng Yang, Yuxuan Du, Bo Han, Tongliang Liu:
Class-Dependent Label-Noise Learning with Cycle-Consistency Regularization. NeurIPS 2022 - [i101]De Cheng, Tongliang Liu, Yixiong Ning, Nannan Wang, Bo Han, Gang Niu, Xinbo Gao, Masashi Sugiyama:
Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation. CoRR abs/2206.02791 (2022) - [i95]Dawei Zhou, Nannan Wang, Xinbo Gao, Bo Han, Xiaoyu Wang, Yibing Zhan, Tongliang Liu:
Improving Adversarial Robustness via Mutual Information Estimation. CoRR abs/2207.12203 (2022) - 2021
- [j40]Xinpeng Ding, Nannan Wang, Xinbo Gao, Jie Li, Xiaoyu Wang, Tongliang Liu:
KFC: An Efficient Framework for Semi-Supervised Temporal Action Localization. IEEE Trans. Image Process. 30: 6869-6878 (2021) - [c54]Dawei Zhou, Nannan Wang, Chunlei Peng, Xinbo Gao, Xiaoyu Wang, Jun Yu, Tongliang Liu:
Removing Adversarial Noise in Class Activation Feature Space. ICCV 2021: 7858-7867 - [c45]Dawei Zhou, Tongliang Liu, Bo Han, Nannan Wang, Chunlei Peng, Xinbo Gao:
Towards Defending against Adversarial Examples via Attack-Invariant Features. ICML 2021: 12835-12845 - [i78]Dawei Zhou, Nannan Wang, Chunlei Peng, Xinbo Gao, Xiaoyu Wang, Jun Yu, Tongliang Liu:
Removing Adversarial Noise in Class Activation Feature Space. CoRR abs/2104.09197 (2021) - [i70]Dawei Zhou, Tongliang Liu, Bo Han, Nannan Wang, Chunlei Peng, Xinbo Gao:
Towards Defending against Adversarial Examples via Attack-Invariant Features. CoRR abs/2106.05036 (2021) - [i69]Dawei Zhou, Nannan Wang, Xinbo Gao, Bo Han, Jun Yu, Xiaoyu Wang, Tongliang Liu:
Improving White-box Robustness of Pre-processing Defenses via Joint Adversarial Training. CoRR abs/2106.05453 (2021) - 2020
- [j36]Xinpeng Ding, Nannan Wang, Xinbo Gao, Jie Li, Xiaoyu Wang, Tongliang Liu:
Group Feedback Capsule Network. IEEE Trans. Image Process. 29: 6789-6799 (2020) - [i44]Xinpeng Ding, Nannan Wang, Xinbo Gao, Jie Li, Xiaoyu Wang, Tongliang Liu:
Weakly Supervised Temporal Action Localization with Segment-Level Labels. CoRR abs/2007.01598 (2020) - 2019
- [j31]C. L. Philip Chen, Xinge You, Xinbo Gao, Tongliang Liu, Fionn Murtagh, Weifeng Liu:
Advances in data representation and learning for pattern analysis. Neurocomputing 348: 1-2 (2019)
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