Wei Shen

Affiliations:
  • Nanjing University, Nanjing, China


According to our database1, Wei Shen authored at least 11 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2025
Reward-Driven Interaction: Enhancing Proactive Dialogue Agents through User Satisfaction Prediction.
CoRR, May, 2025

2024
Leveraging Web-Crawled Data for High-Quality Fine-Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
RePreM: Representation Pre-training with Masked Model for Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets.
Proceedings of the IEEE International Conference on Data Mining, 2022

A Transformer-Based User Satisfaction Prediction for Proactive Interaction Mechanism in DuerOS.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Imitation Learning to Outperform Demonstrators by Directly Extrapolating Demonstrations.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Fair and size-scalable participant selection framework for large-scale mobile crowdsensing.
J. Syst. Archit., 2021

Inductive Matrix Completion Using Graph Autoencoder.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2016
Combined Cloud: A Mixture of Voluntary Cloud and Reserved Instance Marketplace.
J. Comput. Sci. Technol., 2016

A Participant Selection Method for Crowdsensing Under an Incentive Mechanism.
Proceedings of the Collaborate Computing: Networking, Applications and Worksharing, 2016


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