Le Fang

According to our database, Le Fang authored at least 15 papers between 2016 and 2023.

Collaborative distances:

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

2023

Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning.

Zhenyi Wang, Li Shen, Tiehang Duan, Qiuling Suo, Le Fang, Wei Liu, Mingchen Gao

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

2022

Improving Task-free Continual Learning by Distributionally Robust Memory Evolution.

Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao

Proceedings of the International Conference on Machine Learning, 2022

Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions.

Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao

Proceedings of the Computer Vision - ECCV 2022, 2022

Learning to Learn and Remember Super Long Multi-Domain Task Sequence.

Zhenyi Wang, Li Shen, Tiehang Duan, Donglin Zhan, Le Fang, Mingchen Gao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Transformer-based Conditional Variational Autoencoder for Controllable Story Generation.

Le Fang, Tao Zeng, Chaochun Liu, Liefeng Bo, Wen Dong, Changyou Chen

CoRR, 2021

Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events.

Le Fang, Tao Zeng, Chaochun Liu, Liefeng Bo, Wen Dong, Changyou Chen

CoRR, 2021

Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness.

Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Towards Effective and Controllable Neural Text Generation.

Le Fang

PhD thesis, 2020

2019

Implicit Deep Latent Variable Models for Text Generation.

Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong, Changyou Chen

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Deep Q-Learning for Dry Stacking Irregular Objects.

Yifang Liu, Seyed Mahdi Shamsi, Le Fang, Changyou Chen, Nils Napp

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

Robust, cost-effective and scalable localization in large indoor areas.

Tong Guan, Le Fang, Wen Dong, Dimitrios Koutsonikolas, Geoffrey Challen, Chunming Qiao

Comput. Networks, 2017

Expectation Propagation with Stochastic Kinetic Model in Complex Interaction Systems.

Le Fang, Fan Yang, Wen Dong, Tong Guan, Chunming Qiao

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Robust indoor localization with smartphones through statistical filtering.

Tong Guan, Le Fang, Wen Dong, Chunming Qiao

Proceedings of the 2017 International Conference on Computing, 2017

Indoor localization with asymmetric grid-based filters in large areas utilizing smartphones.

Tong Guan, Le Fang, Wen Dong, Yunfei Hou, Chunming Qiao

Proceedings of the IEEE International Conference on Communications, 2017

2016

Tracking the Diffusion of Contact-Induced Disease from Social Interactions and Limited Observations of Symptoms.

Le Fang, Tong Guan, Wen Dong, Chunming Qiao

Proceedings of the First IEEE International Conference on Connected Health: Applications, 2016