Tingyang Xu
Tingyang Xu
Tencent AI Lab
Verified email at
Cited by
Cited by
Dropedge: Towards deep graph convolutional networks on node classification
Y Rong, W Huang, T Xu, J Huang
arXiv preprint arXiv:1907.10903, 2019
Progressive feature alignment for unsupervised domain adaptation
C Chen, W Xie, W Huang, Y Rong, X Ding, Y Huang, T Xu, J Huang
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Self-supervised graph transformer on large-scale molecular data
Y Rong, Y Bian, T Xu, W Xie, Y Wei, W Huang, J Huang
Advances in Neural Information Processing Systems 33, 12559-12571, 2020
Rumor detection on social media with bi-directional graph convolutional networks
T Bian, X Xiao, T Xu, P Zhao, W Huang, Y Rong, J Huang
Proceedings of the AAAI conference on artificial intelligence 34 (01), 549-556, 2020
Graph representation learning via graphical mutual information maximization
Z Peng, W Huang, M Luo, Q Zheng, Y Rong, T Xu, J Huang
Proceedings of The Web Conference 2020, 259-270, 2020
Deep multimodal fusion by channel exchanging
Y Wang, W Huang, F Sun, T Xu, Y Rong, J Huang
Advances in neural information processing systems 33, 4835-4845, 2020
MolAICal: a soft tool for 3D drug design of protein targets by artificial intelligence and classical algorithm
Q Bai, S Tan, T Xu, H Liu, J Huang, X Yao
Briefings in bioinformatics 22 (3), bbaa161, 2021
A restricted black-box adversarial framework towards attacking graph embedding models
H Chang, Y Rong, T Xu, W Huang, H Zhang, P Cui, W Zhu, J Huang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3389-3396, 2020
Dtwnet: a dynamic time warping network
X Cai, T Xu, J Yi, J Huang, S Rajasekaran
Advances in neural information processing systems 32, 2019
Multi-view sparse co-clustering via proximal alternating linearized minimization
J Sun, J Lu, T Xu, J Bi
International Conference on Machine Learning, 757-766, 2015
Graph information bottleneck for subgraph recognition
J Yu, T Xu, Y Rong, Y Bian, J Huang, R He
arXiv preprint arXiv:2010.05563, 2020
Tackling over-smoothing for general graph convolutional networks
W Huang, Y Rong, T Xu, F Sun, J Huang
arXiv preprint arXiv:2008.09864, 2020
Spectral graph attention network
H Chang, Y Rong, T Xu, W Huang, S Sojoudi, J Huang, W Zhu
arXiv preprint arXiv:2003.07450, 2020
Generative models for De Novo drug design
X Tong, X Liu, X Tan, X Li, J Jiang, Z Xiong, T Xu, H Jiang, N Qiao, ...
Journal of Medicinal Chemistry 64 (19), 14011-14027, 2021
Multi-view graph neural networks for molecular property prediction
H Ma, Y Bian, Y Rong, W Huang, T Xu, W Xie, G Ye, J Huang
arXiv preprint arXiv:2005.13607, 2020
Molecular graph enhanced transformer for retrosynthesis prediction
K Mao, X Xiao, T Xu, Y Rong, J Huang, P Zhao
Neurocomputing 457, 193-202, 2021
The truly deep graph convolutional networks for node classification
Y Rong, W Huang, T Xu, J Huang
arXiv preprint arXiv:1907.10903 5, 2019
Application advances of deep learning methods for de novo drug design and molecular dynamics simulation
Q Bai, S Liu, Y Tian, T Xu, AJ Banegas‐Luna, H Pérez‐Sánchez, J Huang, ...
Wiley Interdisciplinary Reviews: Computational Molecular Science 12 (3), e1581, 2022
Re-balancing variational autoencoder loss for molecule sequence generation
C Yan, S Wang, J Yang, T Xu, J Huang
Proceedings of the 11th ACM International Conference on Bioinformatics …, 2020
Development and validation of an image-based deep learning algorithm for detection of synchronous peritoneal carcinomatosis in colorectal cancer
Z Yuan, T Xu, J Cai, Y Zhao, W Cao, A Fichera, X Liu, J Yao, H Wang
Annals of surgery 275 (4), e645-e651, 2022
The system can't perform the operation now. Try again later.
Articles 1–20