| 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 | 730 | 2020 |
| 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 | 223 | 2013 |
| 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 | 154 | 2017 |
| 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 | 101 | 2020 |
| 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 | 100 | 2019 |
| 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 | 65 | 2019 |
| 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 | 64 | 2016 |
| 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 | 57 | 2017 |
| On self modulation for generative adversarial networks T Chen, M Lucic, N Houlsby, S Gelly International Conference on Learning Representations (ICLR'19), 2018 | 41 | 2018 |
| 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 | 38 | 2018 |
| 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 | 38 | 2017 |
| 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 | 25 | 2018 |
| Few-Shot Representation Learning for Out-Of-Vocabulary Words Z Hu, T Chen, KW Chang, Y Sun Association for Computational Linguistics (ACL'19), 2019 | 22 | 2019 |
| 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 | 20* | 2019 |
| Image augmentations for GAN training Z Zhao, Z Zhang, T Chen, S Singh, H Zhang arXiv preprint arXiv:2006.02595, 2020 | 18 | 2020 |
| Self-supervised generative adversarial networks T Chen, X Zhai, M Ritter, M Lučić, N Houlsby | 18 | 2018 |
| Joint text embedding for personalized content-based recommendation T Chen, L Hong, Y Shi, Y Sun arXiv preprint arXiv:1706.01084, 2017 | 18 | 2017 |
| The Origins and Prevalence of Texture Bias in Convolutional Neural Networks KL Hermann, T Chen, S Kornblith arXiv preprint arXiv:1911.09071, 2019 | 17 | 2019 |
| Topic-factorized ideal point estimation model for legislative voting network Y Gu, Y Sun, N Jiang, B Wang, T Chen ACM International Conference on Knowledge Discovery and Data Mining (KDD'14), 2014 | 17 | 2014 |
| Are powerful graph neural nets necessary? a dissection on graph classification T Chen, S Bian, Y Sun arXiv preprint arXiv:1905.04579, 2019 | 16 | 2019 |
Yizhou SunAssociate Professor, Computer Science, UCLAVerified email at cs.ucla.edu
