Ting Chen
Title
Cited by
Cited by
Year
A simple framework for contrastive learning of visual representations
T Chen, S Kornblith, M Norouzi, G Hinton
International conference on machine learning, 1597-1607, 2020
14822020
Big self-supervised models are strong semi-supervised learners
T Chen, S Kornblith, K Swersky, M Norouzi, G Hinton
arXiv preprint arXiv:2006.10029, 2020
2592020
Social Influence Locality for Modeling Retweeting Behaviors.
J Zhang, B Liu, J Tang, T Chen, J Li
International Joint Conference on Artificial Intelligence (IJCAI'13), 2013
2382013
Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification
T Chen, Y Sun
International Conference on Web Search and Data Mining (WSDM'17), 2017
1632017
Self-Supervised GANs via Auxiliary Rotation Loss
T Chen, X Zhai, M Ritter, M Lucic, N Houlsby
Conference on Computer Vision and Pattern Recognition (CVPR'19), 12154-12163, 2019
1242019
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation
Y Bai, H Ding, S Bian, T Chen, Y Sun, W Wang
International Conference on Web Search and Data Mining (WSDM'19), 2019
882019
Entity Embedding-based Anomaly Detection for Heterogeneous Categorical Events
T Chen, LA Tang, Y Sun, Z Chen, K Zhang
International Joint Conference on Artificial Intelligence (IJCAI'17), 2016
692016
On sampling strategies for neural network-based collaborative filtering
T Chen, Y Sun, Y Shi, L Hong
ACM International Conference on Knowledge Discovery and Data Mining (KDD'17 …, 2017
622017
On self modulation for generative adversarial networks
T Chen, M Lucic, N Houlsby, S Gelly
International Conference on Learning Representations (ICLR'19), 2018
552018
Learning K-way D-dimensional Discrete Codes for Compact Embedding Representations
T Chen, MR Min, Y Sun
International Conference on Machine Learning (ICML'18), 2018
492018
Learning K-way D-dimensional Discrete Code For Compact Embedding Representations
T Chen, MR Min, Y Sun
Conference on Neural Information Processing Systems (NIPS'17 DISCML), 2017
492017
Graph contrastive learning with augmentations
Y You, T Chen, Y Sui, T Chen, Z Wang, Y Shen
Advances in Neural Information Processing Systems 33, 2020
382020
Image augmentations for GAN training
Z Zhao, Z Zhang, T Chen, S Singh, H Zhang
arXiv preprint arXiv:2006.02595, 2020
322020
Unsupervised inductive graph-level representation learning via graph-graph proximity
Y Bai, H Ding, Y Qiao, A Marinovic, K Gu, T Chen, Y Sun, W Wang
International Joint Conference on Artificial Intelligence (IJCAI'19), 1988-1994, 2019
31*2019
Heteromed: Heterogeneous information network for medical diagnosis
A Hosseini, T Chen, W Wu, Y Sun, M Sarrafzadeh
International Conference on Information and Knowledge Management (CIKM'18 …, 2018
312018
The Origins and Prevalence of Texture Bias in Convolutional Neural Networks
KL Hermann, T Chen, S Kornblith
arXiv preprint arXiv:1911.09071, 2019
282019
Few-Shot Representation Learning for Out-Of-Vocabulary Words
Z Hu, T Chen, KW Chang, Y Sun
Association for Computational Linguistics (ACL'19), 2019
272019
Joint text embedding for personalized content-based recommendation
T Chen, L Hong, Y Shi, Y Sun
arXiv preprint arXiv:1706.01084, 2017
222017
Are powerful graph neural nets necessary? a dissection on graph classification
T Chen, S Bian, Y Sun
arXiv preprint arXiv:1905.04579, 2019
202019
Self-supervised generative adversarial networks
T Chen, X Zhai, M Ritter, M Lučić, N Houlsby
182018
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Articles 1–20