Wei Shen

Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing

Yan Wang, Wei Shen, Chuheng Zhang, 2020, CIKM.

TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets

Tie-Yan Liu, Xuyun Zhang, J. Bian, 2022, 2022 IEEE International Conference on Data Mining (ICDM).

Imitation Learning to Outperform Demonstrators by Directly Extrapolating Demonstrations

Xuyun Zhang, Wei Shen, Xiaonan He, 2022, CIKM.

Fair and size-scalable participant selection framework for large-scale mobile crowdsensing

Xiaolong Xu, Nour Moustafa, Muhammad Bilal, 2021, J. Syst. Archit..

Inductive Matrix Completion Using Graph Autoencoder

Xiaolong Xu, Wanchun Dou, Xiaonan He, 2021, CIKM.

Combined Cloud: A Mixture of Voluntary Cloud and Reserved Instance Marketplace

Shaojie Tang, Wei Shen, Qiang Ni, 2016, Journal of Computer Science and Technology.

RePreM: Representation Pre-training with Masked Model for Reinforcement Learning

Xuyun Zhang, Wei Shen, Chuheng Zhang, 2023, AAAI.

A quantile-regression physics-informed deep learning for car-following model

Wei Shen, Jiaxin Liu, Rui Jiang, 2023, Transportation Research Part C: Emerging Technologies.

Imitation Learning to Outperform Demonstrators by Directly Extrapolating Demonstrations

Xuyun Zhang, Wei Shen, Xiaonan He, 2022, CIKM.