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Transformer-based Conditional Variational Autoencoder for Controllable Story Generation


Jan 04, 2021
Le Fang, Tao Zeng, Chaochun Liu, Liefeng Bo, Wen Dong, Changyou Chen


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


Jan 04, 2021
Le Fang, Tao Zeng, Chaochun Liu, Liefeng Bo, Wen Dong, Changyou Chen


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Stable and Efficient Policy Evaluation


Jun 06, 2020
Daoming Lyu, Bo Liu, Matthieu Geist, Wen Dong, Saad Biaz, Qi Wang

* IEEE Transactions on Neural Networks and Learning Systems (IEEE-TNNLS) 

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Unsupervised Community Detection with a Potts Model Hamiltonian, an Efficient Algorithmic Solution, and Applications in Digital Pathology


Feb 05, 2020
Brendon Lutnick, Wen Dong, Zohar Nussinov, Pinaki Sarder

* 46 pages, 19 Figures 

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Implicit Deep Latent Variable Models for Text Generation


Sep 18, 2019
Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong, Changyou Chen

* 13 pages, 8 Tables, 1 Figure, Accepted at 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP 2019) 

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PocketCare: Tracking the Flu with Mobile Phones using Partial Observations of Proximity and Symptoms


May 07, 2019
Wen Dong, Tong Guan, Bruno Lepri, Chunming Qiao


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Optimal Control of Complex Systems through Variational Inference with a Discrete Event Decision Process


May 07, 2019
Wen Dong, Bo Liu, Fan Yang


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O$^2$TD: (Near)-Optimal Off-Policy TD Learning


Apr 19, 2017
Bo Liu, Daoming Lyu, Wen Dong, Saad Biaz

* 10 pages, 7 figures 

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Using Social Dynamics to Make Individual Predictions: Variational Inference with a Stochastic Kinetic Model


Nov 07, 2016
Zhen Xu, Wen Dong, Sargur Srihari

* In proceedings of 29th Conference on Neural Information Processing Systems (NIPS 2016) 

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