Shuyang Dai

According to our database, Shuyang Dai authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GrounDial: Human-norm Grounded Safe Dialog Response Generation.

Siwon Kim, Shuyang Dai, Mohammad Kachuee, Shayan Ray, Tara Taghavi, Sungroh Yoon

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2021

Exploring Deep Representation Learning on Vision and Language Intelligence.

Shuyang Dai

PhD thesis, 2021

APo-VAE: Text Generation in Hyperbolic Space.

Shuyang Dai, Zhe Gan, Yu Cheng, Chenyang Tao, Lawrence Carin, Jingjing Liu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

A Large Scale Extended Algorithm for 2D Halton Points with Low-Discrepancy Sequences.

Wenxing Chen, Shuyang Dai, Baojuan Zheng

Proceedings of the 3rd International Conference on Artificial Intelligence and Advanced Manufacture, 2021

2020

CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information.

Pengyu Cheng, Weituo Hao, Shuyang Dai, Jiachang Liu, Zhe Gan, Lawrence Carin

Proceedings of the 37th International Conference on Machine Learning, 2020

Adaptation Across Extreme Variations using Unlabeled Bridges.

Shuyang Dai, Kihyuk Sohn, Yi-Hsuan Tsai, Lawrence Carin, Manmohan Chandraker

Proceedings of the 31st British Machine Vision Conference 2020, 2020

Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation.

Shuyang Dai, Yu Cheng, Yizhe Zhang, Zhe Gan, Jingjing Liu, Lawrence Carin

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Bridging Maximum Likelihood and Adversarial Learning via α-Divergence.

Miaoyun Zhao, Yulai Cong, Shuyang Dai, Lawrence Carin

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Adaptation Across Extreme Variations using Unlabeled Domain Bridges.

Shuyang Dai, Kihyuk Sohn, Yi-Hsuan Tsai, Lawrence Carin, Manmohan Chandraker

CoRR, 2019

On Fenchel Mini-Max Learning.

Chenyang Tao, Liqun Chen, Shuyang Dai, Junya Chen, Ke Bai, Dong Wang, Jianfeng Feng, Wenlian Lu, Georgiy V. Bobashev, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Variational Annealing of GANs: A Langevin Perspective.

Chenyang Tao, Shuyang Dai, Liqun Chen, Ke Bai, Junya Chen, Chang Liu, Ruiyi Zhang, Georgiy V. Bobashev, Lawrence Carin

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Adversarial Text Generation via Feature-Mover's Distance.

Liqun Chen, Shuyang Dai, Chenyang Tao, Dinghan Shen, Zhe Gan, Haichao Zhang, Yizhe Zhang, Lawrence Carin

CoRR, 2018

Adversarial Text Generation via Feature-Mover's Distance.

Liqun Chen, Shuyang Dai, Chenyang Tao, Haichao Zhang, Zhe Gan, Dinghan Shen, Yizhe Zhang, Guoyin Wang, Ruiyi Zhang, Lawrence Carin

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets.

Yunchen Pu, Shuyang Dai, Zhe Gan, Weiyao Wang, Guoyin Wang, Yizhe Zhang, Ricardo Henao, Lawrence Carin

Proceedings of the 35th International Conference on Machine Learning, 2018

Symmetric Variational Autoencoder and Connections to Adversarial Learning.

Liqun Chen, Shuyang Dai, Yunchen Pu, Erjin Zhou, Chunyuan Li, Qinliang Su, Changyou Chen, Lawrence Carin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Symmetric Variational Autoencoder and Connections to Adversarial Learning.

Yunchen Pu, Liqun Chen, Shuyang Dai, Weiyao Wang, Chunyuan Li, Lawrence Carin

CoRR, 2017