| Transformer-based Conditional Variational Autoencoder for Controllable Story Generation L Fang, T Zeng, C Liu, L Bo, W Dong, C Chen arXiv preprint arXiv:2101.00828, 2021 | 73 | 2021 |
| Implicit Deep Latent Variable Models for Text Generation L Fang, C Li, J Gao, W Dong, C Chen 2019 Empirical Methods in Natural Language Processing (EMNLP), 2019 | 73 | 2019 |
| Improving Task-free Continual Learning by Distributionally Robust Memory Evolution Z Wang, L Shen, L Fang, Q Suo, T Duan, M Gao International Conference on Machine Learning 2022 (ICML), 2022 | 46 | 2022 |
| Learning to Learn and Remember Super Long Multi-Domain Task Sequence Z Wang, L Shen, T Duan, D Zhan, L Fang, M Gao IEEE/CVF Conference on Computer Vision and Pattern Recognition 2022, 2022 | 27 | 2022 |
| Robust, cost-effective and scalable localization in large indoor areas T Guan, L Fang, W Dong, D Koutsonikolas, G Challen, C Qiao 2017 Computer Networks 120, 43-55, 2017 | 24 | 2017 |
| Meta learning on a sequence of imbalanced domains with difficulty awareness Z Wang, T Duan, L Fang, Q Suo, M Gao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 23 | 2021 |
| Deep Q-learning for dry stacking irregular objects Y Liu, SM Shamsi, L Fang, C Chen, N Napp 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 19 | 2018 |
| Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions Z Wang, L Shen, L Fang, Q Suo, D Zhan, T Duan, M Gao European Conference on Computer Vision (ECCV) 2022, 2022 | 17 | 2022 |
| Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events L Fang, T Zeng, C Liu, L Bo, W Dong, C Chen arXiv preprint arXiv:2101.00822, 2021 | 14 | 2021 |
| Distributionally robust memory evolution with generalized divergence for continual learning Z Wang, L Shen, T Duan, Q Suo, L Fang, W Liu, M Gao IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 11 | 2023 |
| Expectation Propagation with Stochastic Kinetic Model in Complex Interaction Systems L Fang, F Yang, W Dong, T Guan, C Qiao 2017 Advances in Neural Information Processing Systems, 2026-2036, 2017 | 9 | 2017 |
| Indoor localization with asymmetric grid-based filters in large areas utilizing smartphones T Guan, L Fang, W Dong, Y Hou, C Qiao 2017 IEEE International Conference on Communications (ICC), 1-6, 2017 | 7 | 2017 |
| Robust indoor localization with smartphones through statistical filtering T Guan, L Fang, W Dong, C Qiao 2017 International Conference on Computing, Networking and Communications …, 2017 | 4 | 2017 |
| Towards Effective and Controllable Neural Text Generation L Fang State University of New York at Buffalo, 2020 | 2 | 2020 |
| Tracking the Diffusion of Contact-Induced Disease from Social Interactions and Limited Observations of Symptoms L Fang, T Guan, W Dong, C Qiao 2016 IEEE First International Conference on Connected Health: Applications …, 2016 | 1 | 2016 |
| Event-Based Social Network Discovery (ESONED) Using WiFi Access Points L Fang, T Guan, W Dong, C Qiao 2016 International Conference on Social, Cultural, and Behavioral Modeling …, 2016 | | 2016 |
Wen DongUniversity at Buffalo確認したメール アドレス: buffalo.edu