Flood Sung

According to our database, Flood Sung authored at least 7 papers between 2017 and 2023.

Collaborative distances:

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

2023

Ess-InfoGAIL: Semi-supervised Imitation Learning from Imbalanced Demonstrations.

Huiqiao Fu, Kaiqiang Tang, Yuanyang Lu, Yiming Qi, Guizhou Deng, Flood Sung, Chunlin Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2020

RelationNet2: Deep Comparison Network for Few-Shot Learning.

Xueting Zhang, Yuting Qiang, Flood Sung, Yongxin Yang, Timothy M. Hospedales

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2018

Deep Comparison: Relation Columns for Few-Shot Learning.

Xueting Zhang, Flood Sung, Yuting Qiang, Yongxin Yang, Timothy M. Hospedales

CoRR, 2018

Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions.

Guosheng Hu, Yuxin Hu, Kai Yang, Zehao Yu, Flood Sung, Zhihong Zhang, Fei Xie, Jianguo Liu, Neil Martin Robertson, Timothy M. Hospedales, Qiangwei Miemie

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Learning to Compare: Relation Network for Few-Shot Learning.

Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip H. S. Torr, Timothy M. Hospedales

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Actor-Critic Sequence Training for Image Captioning.

Li Zhang, Flood Sung, Feng Liu, Tao Xiang, Shaogang Gong, Yongxin Yang, Timothy M. Hospedales

CoRR, 2017

Learning to Learn: Meta-Critic Networks for Sample Efficient Learning.

Flood Sung, Li Zhang, Tao Xiang, Timothy M. Hospedales, Yongxin Yang

CoRR, 2017