Le Gan

According to our database, Le Gan authored at least 19 papers between 2017 and 2024.

Collaborative distances:

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

2024

Exploring Dark Knowledge under Various Teacher Capacities and Addressing Capacity Mismatch.

Xin-Chun Li, Wen-Shu Fan, Bowen Tao, Le Gan, De-Chuan Zhan

CoRR, 2024

SENSOR: Imitate Third-Person Expert's Behaviors via Active Sensoring.

Kaichen Huang, Minghao Shao, Shenghua Wan, Hai-Hang Sun, Shuai Feng, Le Gan, De-Chuan Zhan

CoRR, 2024

DIDA: Denoised Imitation Learning based on Domain Adaptation.

Kaichen Huang, Hai-Hang Sun, Shenghua Wan, Minghao Shao, Shuai Feng, Le Gan, De-Chuan Zhan

CoRR, 2024

AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors.

Yucen Wang, Shenghua Wan, Le Gan, Shuai Feng, De-Chuan Zhan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets.

Shenghua Wan, Ziyuan Chen, Le Gan, Shuai Feng, De-Chuan Zhan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Revisit the Essence of Distilling Knowledge through Calibration.

Wen-Shu Fan, Su Lu, Xin-Chun Li, De-Chuan Zhan, Le Gan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Beyond Probability Partitions: Calibrating Neural Networks with Semantic Aware Grouping.

Jia-Qi Yang, De-Chuan Zhan, Le Gan

CoRR, 2023

Beyond probability partitions: Calibrating neural networks with semantic aware grouping.

Jia-Qi Yang, De-Chuan Zhan, Le Gan

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

2022

Avoid Overfitting User Specific Information in Federated Keyword Spotting.

Xin-Chun Li, Jin-Lin Tang, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, Le Gan, De-Chuan Zhan

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Exploring Transferability Measures and Domain Selection in Cross-Domain Slot Filling.

Xin-Chun Li, Yan-Jia Wang, Le Gan, De-Chuan Zhan

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Aggregate or Not? Exploring Where to Privatize in DNN Based Federated Learning Under Different Non-IID Scenes.

Xin-Chun Li, Le Gan, De-Chuan Zhan, Yunfeng Shao, Bingshuai Li, Shaoming Song

CoRR, 2021

Towards Enabling Meta-Learning from Target Models.

Su Lu, Han-Jia Ye, Le Gan, De-Chuan Zhan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2018

Multiple Feature Kernel Sparse Representation Classifier for Hyperspectral Imagery.

Le Gan, Junshi Xia, Peijun Du, Jocelyn Chanussot

IEEE Trans. Geosci. Remote. Sens., 2018

Multikernel Adaptive Collaborative Representation for Hyperspectral Image Classification.

Peijun Du, Le Gan, Junshi Xia, Daming Wang

IEEE Trans. Geosci. Remote. Sens., 2018

Class-Oriented Weighted Kernel Sparse Representation With Region-Level Kernel for Hyperspectral Imagery Classification.

Le Gan, Junshi Xia, Peijun Du, Jocelyn Chanussot

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

Multisource Earth Observation Data for Land-Cover Classification Using Random Forest.

Zhigang Xu, Jike Chen, Junshi Xia, Peijun Du, Hongrui Zheng, Le Gan

IEEE Geosci. Remote. Sens. Lett., 2018

A method of rice information extraction based on Particle Swarm Optimization SVM algorithm.

Yunfeng Li, Peijun Du, Zhaohui Xue, Le Gan, Xin Wang, Hao Liang

Proceedings of the 10th International Conference on Machine Learning and Computing, 2018

2017

Dissimilarity-Weighted Sparse Representation for Hyperspectral Image Classification.

Le Gan, Junshi Xia, Peijun Du, Zhigang Xu

IEEE Geosci. Remote. Sens. Lett., 2017

Kernel Fused Representation-Based Classifier for Hyperspectral Imagery.

Le Gan, Peijun Du, Junshi Xia, Yaping Meng

IEEE Geosci. Remote. Sens. Lett., 2017