Xingjian Li
Xingjian Li
Big Data Lab, Baidu Research / University of Macau
Bestätigte E-Mail-Adresse bei baidu.com
Titel
Zitiert von
Zitiert von
Jahr
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
412011
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
372011
Delta: Deep learning transfer using feature map with attention for convolutional networks
X Li, H Xiong, H Wang, Y Rao, L Liu, J Huan
arXiv preprint arXiv:1901.09229, 2019
362019
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
172012
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
132011
Method and device for locating an answer based on question and answer
SUN Xingwu, X Li
US Patent 10,706,090, 2020
82020
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
72019
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
32019
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
22019
Accelerating EMAN on A GPU Cluster System
LI Xingjian, TAN Guangming, GUO Ziyu
ACTA BIOPHYSICA SINICA 26 (7), 600-605, 2010
22010
Improving Adversarial Robustness via Attention and Adversarial Logit Pairing
D Goodman, X Li, J Huan, T Wei
arXiv preprint arXiv:1908.11435, 2019
12019
An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity
Y Yang, J Yu, X Li, J Huan, TS Huang
arXiv preprint arXiv:1902.00873, 2019
12019
Temporal Relational Modeling with Self-Supervision for Action Segmentation
D Wang, D Hu, X Li, D Dou
arXiv preprint arXiv:2012.07508, 2020
2020
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
2020
Towards Accurate Knowledge Transfer via Target-awareness Representation Disentanglement
X Li, D Hu, X Li, H Xiong, Z Ye, Z Wang, C Xu, D Dou
arXiv preprint arXiv:2010.08532, 2020
2020
Measuring Information Transfer in Neural Networks
X Zhang, X Li, D Dou, J Wu
arXiv preprint arXiv:2009.07624, 2020
2020
XMixup: Efficient Transfer Learning with Auxiliary Samples by Cross-domain Mixup
X Li, H Xiong, H An, C Xu, D Dou
arXiv preprint arXiv:2007.10252, 2020
2020
COLAM: Co-Learning of Deep Neural Networks and Soft Labels via Alternating Minimization
X Li, H Xiong, H An, D Dou, C Xu
arXiv preprint arXiv:2004.12443, 2020
2020
Searching method and apparatus, device and non-volatile computer storage medium
HE Bolei, W Zhang, X Li, Y Ma
US Patent App. 16/304,624, 2019
2019
Parallelism for cryo-EM 3D reconstruction on CPU-GPU heterogeneous system
L Xingjian, L Linchuan, TGZ Peiheng
Journal of Huazhong University of Science and Technology (Natural Science …, 2011
2011
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