Research Interest

My research interest mainly spans over deep learning & bayesian learning, with application in Natural Language Processing (NLP). Specific topics I have been working on include:

  • Deep generative models such as VAE and GAN; text generation.

  • Large-scale Bayesian sampling and variational inference.

I am open to interesting research topics and engineering problems in applied machine learning field.

Conference Papers

  1. Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao. "Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness", in International Conference on Computer Vision (ICCV) 2021. [pdf]

  2. Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong, and Changyou Chen. "Implicit Deep Latent Variable Models for Text Generation", in Conference on Empirical Methods in Natural Language Processing (EMNLP) 2019. [arxiv] [Blog] [Poster] [Github]

  3. Yifang Liu, Seyed Mahdi Shamsi, Le Fang, Changyou Chen, Nils Napp. "Deep Q-Learning for Dry Stacking Irregular Objects", in International Conference on Intelligent Robots (IROS) 2018. [pdf]

  4. Le Fang, Fan Yang, Wen Dong, Tong Guan, and Chunming Qiao. "Expectation Propagation with Stochastic Kinetic Model in Complex Interaction Systems", in Conference on Neural Information Processing Systems (NIPS) 2017. [pdf]

  5. Tong Guan, Le Fang, Wen Dong, Yunfei Hou, and Chunming Qiao. "Indoor localization with asymmetric grid-based filters in large areas utilizing smartphones", in IEEE International Conference on Communications (ICC) 2017. [pdf]

  6. Tong Guan, Le Fang, Wen Dong, and Chunming Qiao. "Robust indoor localization with smartphones through statistical filtering", in International Conference on Computing, Networking and Communications (ICNC) 2017. [pdf]

  7. Le Fang, Tong Guan, Wen Dong, Chunming Qiao, "Event-Based Social Network Discovery (ESONED) Using WiFi Access Points", in International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction (SBP-BRiMS) 2016. [pdf]

Journal Papers

  1. Tong Guan, Le Fang, Wen Dong, Dimitrios Koutsonikolas, Geoffrey Challen and Chunming Qiao. "Robust, cost-effective and scalable localization in large indoor areas". Computer Networks, 2017. [pdf]


  1. Le Fang, Tao Zeng, Chaochun Liu, Liefeng Bo, Wen Dong, and Changyou Chen. "Transformer-based Conditional Variational Autoencoder for Controllable Story Generation". arXiv preprint arXiv:2101.00828 (2021). [arxiv]

  2. Le Fang, Tao Zeng, Chaochun Liu, Liefeng Bo, Wen Dong, and Changyou Chen. "Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events". arXiv preprint arXiv:2101.00822 (2021). [arxiv]


I have been serving as reviewer and PC member for many prestigious publication venues such as IJCAI 2019, 2021, 2022; NeurIPS 2019, 2020, 2022; AAAI 2020, 2021, 2022; ICML 2020, 2022; ICLR 2021, 2022; CVPR 2022; ECCV 2022 etc.