Xingjian Li
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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
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
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
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
Method and device for locating an answer based on question and answer
SUN Xingwu, X Li
US Patent 10,706,090, 2020
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
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
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
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
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
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
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
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
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
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
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
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
Experience of parallelizing cryo-EM 3D reconstruction on a CPU-GPU heterogeneous system
L Li, X Li, G Tan, M Chen, P Zhang
Proceedings of the 20th international symposium on High performance …, 2011
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
SMILE: Sample-to-feature MIxup for Efficient Transfer LEarning
X Li, H Xiong, C Xu, D Dou
First Workshop on Interpolation Regularizers and Beyond at NeurIPS 2022 …, 2022
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