| Interpretable deep learning: Interpretation, interpretability, trustworthiness, and beyond X Li, H Xiong, X Li, X Wu, X Zhang, J Liu, J Bian, D Dou Knowledge and Information Systems 64 (12), 3197-3234, 2022 | 399 | 2022 |
| Delta: Deep learning transfer using feature map with attention for convolutional networks X Li, H Xiong, H Wang, Y Rao, L Liu, Z Chen, J Huan International Conference on Learning Representations, 2019 | 200 | 2019 |
| Pay attention to features, transfer learn faster CNNs K Wang, X Gao, Y Zhao, X Li, D Dou, CZ Xu International conference on learning representations, 2019 | 126 | 2019 |
| Adaptive consistency regularization for semi-supervised transfer learning A Abuduweili, X Li, H Shi, CZ Xu, D Dou Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 118 | 2021 |
| Biprominer: Automatic mining of binary protocol features Y Wang, X Li, J Meng, Y Zhao, Z Zhang, L Guo 2011 12th International Conference on Parallel and Distributed Computing …, 2011 | 60 | 2011 |
| Temporal relational modeling with self-supervision for action segmentation D Wang, D Hu, X Li, D Dou Proceedings of the AAAI conference on artificial intelligence 35 (4), 2729-2737, 2021 | 56 | 2021 |
| Floating-point mixed-radix FFT core generation for FPGA and comparison with GPU and CPU B Duan, W Wang, X Li, C Zhang, P Zhang, N Sun 2011 International Conference on Field-Programmable Technology, 1-6, 2011 | 56 | 2011 |
| Noise stability regularization for improving BERT fine-tuning H Hua, X Li, D Dou, CZ Xu, J Luo Conference of the North American Chapter of the Association for …, 2021 | 43 | 2021 |
| G-LIME: Statistical learning for local interpretations of deep neural networks using global priors X Li, H Xiong, X Li, X Zhang, J Liu, H Jiang, Z Chen, D Dou Artificial intelligence 314, 103823, 2023 | 40 | 2023 |
| RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr X Li, H Xiong, H An, CZ Xu, D Dou International Conference on Machine Learning, 6010-6019, 2020 | 40* | 2020 |
| Boosting Active Learning via Improving Test Performance T Wang, X Li, P Yang, G Hu, X Zeng, S Huang, CZ Xu, M Xu AAAI'22, 2021 | 38 | 2021 |
| Improving pretrained language model fine-tuning with noise stability regularization H Hua, X Li, D Dou, CZ Xu, J Luo IEEE Transactions on Neural Networks and Learning Systems, 2023 | 22* | 2023 |
| Knowledge distillation with attention for deep transfer learning of convolutional networks X Li, H Xiong, Z Chen, J Huan, J Liu, CZ Xu, D Dou ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (3), 1-20, 2021 | 21 | 2021 |
| Towards making deep transfer learning never hurt R Wan, H Xiong, X Li, Z Zhu, J Huan 2019 IEEE International Conference on Data Mining (ICDM), 578-587, 2019 | 21 | 2019 |
| An optimized large-scale hybrid DGEMM design for CPUs and ATI GPUs J Li, X Li, G Tan, M Chen, N Sun Proceedings of the 26th ACM international conference on Supercomputing, 377-386, 2012 | 19 | 2012 |
| Method, system and storage medium for implementing intelligent question answering Y Ma, G Li, SUN Xingwu, X Li, W Zhang, WEI Haojie, L Meng, M Zong, ... US Patent 10,242,049, 2019 | 17 | 2019 |
| GrOD: Deep Learning with Gradients Orthogonal Decomposition for Knowledge Transfer, Distillation, and Adversarial Training H Xiong, R Wan, J Zhao, Z Chen, X Li, Z Zhu, J Huan ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (6), 1-25, 2022 | 16 | 2022 |
| Deep active learning with noise stability X Li, P Yang, Y Gu, X Zhan, T Wang, M Xu, C Xu Proceedings of the AAAI Conference on Artificial Intelligence 38 (12), 13655 …, 2024 | 15 | 2024 |
| Towards inadequately pre-trained models in transfer learning A Deng, X Li, D Hu, T Wang, H Xiong, CZ Xu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 15* | 2023 |
| InterpretDL: explaining deep models in PaddlePaddle X Li, H Xiong, X Li, X Wu, Z Chen, D Dou Journal of Machine Learning Research 23 (197), 1-6, 2022 | 15 | 2022 |
Dejing Dou (窦德景）Distinguished Professor, Fudan University/Chief Scientist, BEDI Cloudایمیل تأیید شده در cs.uoregon.edu