Author

Liqun Chen

Cubist Systematic Strategies - Cited by 1,691 - deep learning - machine learning - NLP

Biography

Dr. Liqun Chen, College of Bioscience and Bioengineering, Fuzhou University, Fuzhou, China. Fuzhou University, founded in 1958, is located in Fuzhou, the capital of Fujian Province. It is listed among the National Key Universities and Colleges of Project 211, which is jointly run by the Fujian Provincial Government and the Ministry of Education of China.
Title
Cited by
Year
Alice: Towards understanding adversarial learning for joint distribution matching
C Li, H Liu, C Chen, Y Pu, L Chen, R Henao, L CarinAdvances in neural information processing systems 30, 2017201
250
2017
Triangle generative adversarial networks
Z Gan, L Chen, W Wang, Y Pu, Y Zhang, H Liu, C Li, L CarinAdvances in Neural Information Processing Systems, 5253-5262, 2017201
147
2017
Contextualized perturbation for textual adversarial attack
D Li, Y Zhang, H Peng, L Chen, C Brockett, MT Sun, B DolanNAACL 2021, 2021202
136
2021
Graph Optimal Transport for Cross-Domain Alignment
L Chen, Z Gan, Y Cheng, L Li, L Carin, J LiuICML 2020, 2020202
111
2020
Vision-Language Pre-Training with Triple Contrastive Learning
J Yang, J Duan, S Tran, Y Xu, S Chanda, L Chen, B Zeng, T Chilimbi, ...CVPR 2022, 2022202
101
2022
Improving Sequence-to-Sequence Learning via Optimal Transport
L Chen, Y Zhang, R Zhang, C Tao, Z Gan, H Zhang, B Li, D Shen, C Chen, ...International Conference on Learning Representations, 2019201
88
2019
Adversarial symmetric variational autoencoder
Y Pu, W Wang, R Henao, L Chen, Z Gan, C Li, L CarinAdvances in neural information processing systems 30, 2017201
86
2017
Symmetric variational autoencoder and connections to adversarial learning
L Chen, S Dai, Y Pu, C Li, Q Su, L CarinAISTATS 2018, 2017201
74
2017
A unified particle-optimization framework for scalable Bayesian sampling
C Chen, R Zhang, W Wang, B Li, L ChenarXiv preprint arXiv:1805.11659, 2018201
69
2018
Wasserstein Contrastive Representation Distillation
L Chen, Z Gan, D Wang, J Liu, R Henao, L CarinCVPR 2021, 2021202
59
2021
Towards generating long and coherent text with multi-level latent variable models
D Shen, A Celikyilmaz, Y Zhang, L Chen, X Wang, J Gao, L CarinACL 2019, 2019201
57
2019
Continuous-time flows for efficient inference and density estimation
C Chen, C Li, L Chen, W Wang, Y Pu, LC DukeInternational Conference on Machine Learning, 824-833, 2018201
51
2018
Chi-square generative adversarial network
C Tao, L Chen, R Henao, J Feng, L CarinInternational Conference on Machine Learning, 4894-4903, 2018201
41
2018
Variational inference and model selection with generalized evidence bounds
L Chen, C Tao, R Zhang, R Henao, L CarinInternational Conference on Machine Learning, 892-901, 2018201
28
2018
Multi-modal Alignment using Representation Codebook
J Duan, L Chen, S Tran, J Yang, Y Xu, B Zeng, C Tao, T ChilimbiCVPR 2022, 2022202
25
2022
Improving Textual Network Embedding with Global Attention via Optimal Transport
L Chen, G Wang, C Tao, D Shen, P Cheng, X Zhang, W Wang, Y Zhang, ...ACL 2019, 2019201
22
2019
On Fenchel Mini-Max Learning
C Tao, L Chen, S Dai, J Chen, K Bai, D Wang, J Feng, W Lu, G Bobashev, ...International Conference on Machine Learning, 2019201
21
2019
Variational annealing of GANs: A Langevin perspective
C Tao, S Dai, L Chen, K Bai, J Chen, C Liu, R Zhang, G Bobashev, ...International conference on machine learning, 6176-6185, 202
19
2019
Simpler, faster, stronger: Breaking the log-k curse on contrastive learners with flatnce
J Chen, Z Gan, X Li, Q Guo, L Chen, S Gao, T Chung, Y Xu, B Zeng, W Lu, ...arXiv preprint arXiv:2107.01152, 2021202
18
2021