Le Lv

According to our database, Le Lv authored at least 8 papers between 2016 and 2019.

Collaborative distances:

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

2019

Deep sparse representation-based mid-level visual elements discovery in fine-grained classification.

Le Lv, Dongbin Zhao, Kun Shao

Soft Comput., 2019

Auto-encoder based Graph Convolutional Networks for Online Financial Anti-fraud.

Le Lv, Jianbo Cheng, Nanbo Peng, Min Fan, Dongbin Zhao, Jianhong Zhang

Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2019

2018

Multi-task learning for dangerous object detection in autonomous driving.

Yaran Chen, Dongbin Zhao, Le Lv, Qichao Zhang

Inf. Sci., 2018

2017

Deep Reinforcement Learning With Visual Attention for Vehicle Classification.

Dongbin Zhao, Yaran Chen, Le Lv

IEEE Trans. Cogn. Dev. Syst., 2017

A Semi-Supervised Predictive Sparse Decomposition Based on Task-Driven Dictionary Learning.

Le Lv, Dongbin Zhao, Qingqiong Deng

Cogn. Comput., 2017

2016

ADP with MCTS algorithm for Gomoku.

Zhentao Tang, Dongbin Zhao, Kun Shao, Le Lv

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Image clustering based on deep sparse representations.

Le Lv, Dongbin Zhao, Qingqiong Deng

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Convolutional fitted Q iteration for vision-based control problems.

Dongbin Zhao, Yuanheng Zhu, Le Lv, Yaran Chen, Qichao Zhang

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016