Chunyuan Li
Chunyuan Li
Microsoft Research, Redmond
Verified email at - Homepage
Cited by
Cited by
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
X Li, X Yin, C Li, X Hu, P Zhang, L Zhang, L Wang, H Hu, L Dong, F Wei, ...
European Conference on Computer Vision (ECCV), 2020
Variational Autoencoder for Deep Learning of Images, Labels and Captions
Y Pu, Z Gan, R Henao, X Yuan, C Li, A Stevens, L Carin
Neural Information Processing Systems (NIPS), 2016
Joint Embedding of Words and Labels for Text Classification
G Wang, C Li, W Wang, Y Zhang, D Shen, X Zhang, R Henao, L Carin
Annual Meeting of the Association for Computational Linguistics (ACL), 2018
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms
D Shen, G Wang, W Wang, MR Min, Q Su, Y Zhang, C Li, R Henao, ...
Annual Meeting of the Association for Computational Linguistics (ACL), 2018
Florence: A New Foundation Model for Computer Vision
L Yuan, D Chen, YL Chen, N Codella, X Dai, J Gao, H Hu, X Huang, B Li, ...
arXiv preprint arXiv:2111.11432, 2021
Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks
C Li, C Chen, D Carlson, L Carin
AAAI Conference on Artificial Intelligence, 2016
Focal Attention for Long-Range Interactions in Vision Transformers
J Yang, C Li, P Zhang, X Dai, B Xiao, L Yuan, J Gao
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing
H Fu, C Li, X Liu, J Gao, A Celikyilmaz, L Carin
NAACL, 2019
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching
C Li, H Liu, C Chen, Y Pu, L Chen, R Henao, L Carin
Neural Information Processing Systems (NIPS), 2017
Measuring the Intrinsic Dimension of Objective Landscapes
C Li, H Farkhoor, R Liu, J Yosinski
International Conference on Learning Representations (ICLR), 2018
Soloist: BuildingTask Bots at Scale with Transfer Learning and Machine Teaching
B Peng, C Li, J Li, S Shayandeh, L Liden, J Gao
Transactions of the Association for Computational Linguistics 9, 807-824, 2021
Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning
R Zhang, C Li, J Zhang, C Chen, AG Wilson
International Conference on Learning Representations (ICLR), 2020
Grounded Language-Image Pre-training
LH Li, P Zhang, H Zhang, J Yang, C Li, Y Zhong, L Wang, L Yuan, ...
CVPR, 2022
Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training
W Hao, C Li, X Li, L Carin, J Gao
Computer Vision and Pattern Recognition (CVPR), 2020
Few-shot Natural Language Generation for Task-Oriented Dialog
B Peng, C Zhu, C Li, X Li, J Li, M Zeng, J Gao
Empirical Methods in Natural Language Processing (EMNLP), 2020
Triangle Generative Adversarial Networks
Z Gan, L Chen, W Wang, Y Pu, Y Zhang, H Liu, C Li, L Carin
Neural Information Processing Systems (NIPS), 2017
Shape retrieval of non-rigid 3D human models
D Pickup, X Sun, PL Rosin, RR Martin, Z Cheng, Z Lian, M Aono, ...
International Journal of Computer Vision (IJCV), 2016
A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries
B Li, Y Lu, C Li, A Godil, T Schreck, M Aono, M Burtscher, Q Chen, ...
Computer Vision and Image Understanding (CVIU) 131, 1-27, 2015
Learning Generic Sentence Representations Using Convolutional Neural Networks
Z Gan, Y Pu, R Henao, C Li, X He, L Carin
Empirical Methods on Natural Language Processing (EMNLP), 2017
Persistence-based structural recognition
C Li, M Ovsjanikov, F Chazal
Computer Vision and Pattern Recognition (CVPR), 2014, 2003-2010, 2014
The system can't perform the operation now. Try again later.
Articles 1–20