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Large-scale Knowledge Distillation with Elastic Heterogeneous Computing Resources


Jul 14, 2022
Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu

* To appear in Concurrency and Computation: Practice and Experience, 16 pages, 7 figures, 5 tables 

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Fine-tuning Pre-trained Language Models with Noise Stability Regularization


Jun 12, 2022
Hang Hua, Xingjian Li, Dejing Dou, Cheng-Zhong Xu, Jiebo Luo

* Preprint. Under Review 

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Deep Active Learning with Noise Stability


May 26, 2022
Xingjian Li, Pengkun Yang, Tianyang Wang, Xueying Zhan, Min Xu, Dejing Dou, Chengzhong Xu


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Inadequately Pre-trained Models are Better Feature Extractors


Mar 09, 2022
Andong Deng, Xingjian Li, Zhibing Li, Di Hu, Chengzhong Xu, Dejing Dou


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Boosting Active Learning via Improving Test Performance


Dec 10, 2021
Tianyang Wang, Xingjian Li, Pengkun Yang, Guosheng Hu, Xiangrui Zeng, Siyu Huang, Cheng-Zhong Xu, Min Xu

* AAAI 2022 
* 13 pages 

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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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