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Tie-Yan Liu

Showing results (11-20 of 40) with videos related to

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Bioinformatics (Oxford, England)|May 27, 2021
SAMF: a self-adaptive protein modeling frameworkWenze Ding, Qijiang Xu, Siyuan Liu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 18, 2023
A Survey on Non-Autoregressive Generation for Neural Machine Translation and BeyondYisheng Xiao, Lijun Wu, Junliang Guo, et al.
Nature Communications|May 6, 2021
CopulaNet: Learning residue co-evolution directly from multiple sequence alignment for protein structure predictionFusong Ju, Jianwei Zhu, Bin Shao, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 20, 2022
Masked Contrastive Representation Learning for Reinforcement LearningJinhua Zhu, Yingce Xia, Lijun Wu, et al.
Bioinformatics (Oxford, England)|October 7, 2022
Discovering drug-target interaction knowledge from biomedical literatureYutai Hou, Yingce Xia, Lijun Wu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|May 9, 2024
LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated dataXinquan Huang, Wenlei Shi, Xiaotian Gao, et al.
Physical Review. E|September 19, 2023
Complex-valued neural-operator-assisted soliton identificationMing Zhang, Qi Meng, Deng Zhang, et al.
The Journal of Chemical Physics|July 17, 2023
Improving machine learning force fields for molecular dynamics simulations with fine-grained force metricsZun Wang, Hongfei Wu, Lixin Sun, et al.
Briefings in Bioinformatics|December 27, 2022
R2-DDI: relation-aware feature refinement for drug-drug interaction predictionJiacheng Lin, Lijun Wu, Jinhua Zhu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|February 29, 2024
Randomness Regularization With Simple Consistency Training for Neural NetworksJuntao Li, Xiaobo Liang, Lijun Wu, et al.
Pageof 4

Showing results (11-20 of 40) with videos related to

Sort By:
Pageof 4
Bioinformatics (Oxford, England)|May 27, 2021
SAMF: a self-adaptive protein modeling frameworkWenze Ding, Qijiang Xu, Siyuan Liu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 18, 2023
A Survey on Non-Autoregressive Generation for Neural Machine Translation and BeyondYisheng Xiao, Lijun Wu, Junliang Guo, et al.
Nature Communications|May 6, 2021
CopulaNet: Learning residue co-evolution directly from multiple sequence alignment for protein structure predictionFusong Ju, Jianwei Zhu, Bin Shao, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 20, 2022
Masked Contrastive Representation Learning for Reinforcement LearningJinhua Zhu, Yingce Xia, Lijun Wu, et al.
Bioinformatics (Oxford, England)|October 7, 2022
Discovering drug-target interaction knowledge from biomedical literatureYutai Hou, Yingce Xia, Lijun Wu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|May 9, 2024
LordNet: An efficient neural network for learning to solve parametric partial differential equations without simulated dataXinquan Huang, Wenlei Shi, Xiaotian Gao, et al.
Physical Review. E|September 19, 2023
Complex-valued neural-operator-assisted soliton identificationMing Zhang, Qi Meng, Deng Zhang, et al.
The Journal of Chemical Physics|July 17, 2023
Improving machine learning force fields for molecular dynamics simulations with fine-grained force metricsZun Wang, Hongfei Wu, Lixin Sun, et al.
Briefings in Bioinformatics|December 27, 2022
R2-DDI: relation-aware feature refinement for drug-drug interaction predictionJiacheng Lin, Lijun Wu, Jinhua Zhu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|February 29, 2024
Randomness Regularization With Simple Consistency Training for Neural NetworksJuntao Li, Xiaobo Liang, Lijun Wu, et al.
Pageof 4