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Noise Stability Regularization for Improving BERT Fine-tuning


Jul 10, 2021
Hang Hua, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Jiebo Luo

* Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies 

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SMILE: Self-Distilled MIxup for Efficient Transfer LEarning


Mar 25, 2021
Xingjian Li, Haoyi Xiong, Chengzhong Xu, Dejing Dou


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Interpretable Deep Learning: Interpretations, Interpretability, Trustworthiness, and Beyond


Mar 19, 2021
Xuhong Li, Haoyi Xiong, Xingjian Li, Xuanyu Wu, Xiao Zhang, Ji Liu, Jiang Bian, Dejing Dou


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Adaptive Consistency Regularization for Semi-Supervised Transfer Learning


Mar 03, 2021
Abulikemu Abuduweili, Xingjian Li, Humphrey Shi, Cheng-Zhong Xu, Dejing Dou

* Accepted by CVPR 2021 

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Temporal Relational Modeling with Self-Supervision for Action Segmentation


Dec 14, 2020
Dong Wang, Di Hu, Xingjian Li, Dejing Dou

* Accepted by the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) 

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Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement


Oct 16, 2020
Xingjian Li, Di Hu, Xuhong Li, Haoyi Xiong, Zhi Ye, Zhipeng Wang, Chengzhong Xu, Dejing Dou


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Measuring Information Transfer in Neural Networks


Sep 16, 2020
Xiao Zhang, Xingjian Li, Dejing Dou, Ji Wu


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XMixup: Efficient Transfer Learning with Auxiliary Samples by Cross-domain Mixup


Jul 20, 2020
Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou


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RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr


Jul 07, 2020
Xingjian Li, Haoyi Xiong, Haozhe An, Chengzhong Xu, Dejing Dou

* Accepted by ICML'2020 

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OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport


Jun 22, 2020
Derek Onken, Samy Wu Fung, Xingjian Li, Lars Ruthotto

* 8 pages, 6 figures 

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COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization


Apr 26, 2020
Xingjian Li, Haoyi Xiong, Haozhe An, Dejing Dou, Chengzhong Xu


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Towards Making Deep Transfer Learning Never Hurt


Nov 18, 2019
Ruosi Wan, Haoyi Xiong, Xingjian Li, Zhanxing Zhu, Jun Huan

* accapted as long paper at the 19th IEEE International Conference on Data Mining, 2019 
* 10 pages 

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Improving Adversarial Robustness via Attention and Adversarial Logit Pairing


Aug 23, 2019
Dou Goodman, Xingjian Li, Jun Huan, Tao Wei


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An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity


Feb 14, 2019
Yingzhen Yang, Xingjian Li, Jun Huan

* Updated the link to the open source PaddlePaddle code of LRC Regularization 

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DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks


Jan 26, 2019
Xingjian Li, Haoyi Xiong, Hanchao Wang, Yuxuan Rao, Liping Liu, Jun Huan

* Accepted at ICLR 2019 

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