| 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 | 76 | 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 | 75 | 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 | 52 | 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 | 31 | 2022 |
| 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 | 25 | 2021 |
| 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 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 | 20 | 2022 |
| 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 | 20 | 2018 |
| 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 | 13 | 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 45 (12 …, 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 BuffaloVerified email at buffalo.edu
Mingchen GaoUniversity at Buffalo SUNY, Department of Computer Science and EngineeringVerified email at buffalo.edu
Chen ChangyouAssociate Professor at University at BuffaloVerified email at buffalo.edu
Qiuling SuoUniversity at BuffaloVerified email at buffalo.edu
Chunming QiaoComputer Science and EngineeringVerified email at buffalo.edu
Tong GuanSUNY at BuffaloVerified email at buffalo.eduLiefeng BoHead of Applied Computer Vision Lab at Alibaba GroupVerified email at cs.washington.edu
Chunyuan LixAIVerified email at x.ai
Jianfeng GaoMicrosoft Research, RedmondVerified email at microsoft.com
Yifang LiuPostdoctoral Research Associate, Oak Ridge National LaboratoryVerified email at ornl.gov
Nils NappElectrical and Computer Engineering, Cornell UniversityVerified email at cornell.edu
