Jian Shen | DeepAI

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Featured Co-authors

Yang Yang
251 publications
Tie-Yan Liu
176 publications
Weinan Zhang
146 publications
Wei Yang
121 publications
Zhenguo Li
107 publications
Yong Yu
102 publications
Cheng Chen
78 publications
Min Xu
72 publications
Qiang Fu
70 publications
Yuan Tian
69 publications
Ruiming Tang
64 publications

∙ 11/19/2021

Towards Return Parity in Markov Decision Processes

Algorithmic decisions made by machine learning models in high-stakes dom...

0 Jianfeng Chi, et al. ∙

∙ 11/16/2021

On Effective Scheduling of Model-based Reinforcement Learning

Model-based reinforcement learning has attracted wide attention due to i...

0 Hang Lai, et al. ∙

∙ 11/03/2021

Curriculum Offline Imitation Learning

Offline reinforcement learning (RL) tasks require the agent to learn fro...

0 Minghuan Liu, et al. ∙

∙ 08/16/2021

Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction

Diabetes prediction is an important data science application in the soci...

10 Mingcheng Chen, et al. ∙

∙ 05/13/2021

MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks

In Goal-oriented Reinforcement learning, relabeling the raw goals in pas...

0 Menghui Zhu, et al. ∙

∙ 12/09/2020

Improving Knowledge Tracing via Pre-training Question Embeddings

Knowledge tracing (KT) defines the task of predicting whether students c...

0 Yunfei Liu, et al. ∙

∙ 10/19/2020

Model-based Policy Optimization with Unsupervised Model Adaptation

Model-based reinforcement learning methods learn a dynamics model with r...

0 Jian Shen, et al. ∙

∙ 09/13/2020

GIKT: A Graph-based Interaction Model for Knowledge Tracing

With the rapid development in online education, knowledge tracing (KT) h...

20 Yang Yang, et al. ∙

∙ 07/04/2020

Bidirectional Model-based Policy Optimization

Model-based reinforcement learning approaches leverage a forward dynamic...

8 Hang Lai, et al. ∙

∙ 03/14/2020

Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency

Recent advances in large-scale optimal transport have greatly extended i...

16 Guansong Lu, et al. ∙

∙ 11/21/2019

Improving Unsupervised Domain Adaptation with Variational Information Bottleneck

Domain adaptation aims to leverage the supervision signal of source doma...

0 Yuxuan Song, et al. ∙

∙ 04/02/2019

Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs

Lipschitz continuity recently becomes popular in generative adversarial ...

0 Zhiming Zhou, et al. ∙

∙ 04/24/2018

Label-aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition

We study the problem of named entity recognition (NER) from electronic m...

0 Zhenghui Wang, et al. ∙

∙ 07/05/2017

Wasserstein Distance Guided Representation Learning for Domain Adaptation

Domain adaptation aims at generalizing a high-performance learner on a t...

0 Jian Shen, et al. ∙

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