Shihan Wang

Orcid: 0000-0001-5971-7522

Affiliations:
  • Utrecht University, Utrecht, The Netherlands
  • University of Amsterdam, The Netherlands (former)
  • Tokyo Institute of Technology, Japan (former)


According to our database1, Shihan Wang authored at least 36 papers between 2015 and 2024.

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

Timeline

Legend:

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Online presence:

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Bibliography

2024
Correction: A survey of multi-agent deep reinforcement learning with communication.
Auton. Agents Multi Agent Syst., June, 2024

A survey of multi-agent deep reinforcement learning with communication.
Auton. Agents Multi Agent Syst., June, 2024

Decomposed Deep Q-Network for Coherent Task-Oriented Dialogue Policy Learning.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management.
J. Artif. Intell. Res., 2024

Balancing the Scales: Reinforcement Learning for Fair Classification.
CoRR, 2024

Knowledge acquisition for dialogue agents using reinforcement learning on graph representations.
CoRR, 2024

Sample Efficient Reinforcement Learning by Automatically Learning to Compose Subtasks.
CoRR, 2024

Intelligent Support Systems for Lifestyle Change: Integrating Dialogue, Information Extraction, and Reasoning.
Proceedings of the HHAI 2024: Hybrid Human AI Systems for the Social Good, 2024

Human-Centered AI for Dementia Care: Using Reinforcement Learning for Personalized Interventions Support in Eating and Drinking Scenarios.
Proceedings of the HHAI 2024: Hybrid Human AI Systems for the Social Good, 2024

Bootstrapped Policy Learning for Task-oriented Dialogue through Goal Shaping.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Learning Reward Structure with Subtasks in Reinforcement Learning.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Bootstrapped Policy Learning: Goal Shaping for Efficient Task-oriented Dialogue Policy Learning.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023
Leveraging Graph Embeddings for Opinion Leader Detection.
CoRR, 2023

Rescue Conversations from Dead-ends: Efficient Exploration for Task-oriented Dialogue Policy Optimization.
CoRR, 2023

Preface to Using AI Methods for Health Behavior Change.
Proceedings of the 18th International Conference on Persuasive Technology, Adjunct Proceedings co-located with PERSUASIVE 2023, Eindhoven University of Technology, Eindhoven, The Netherlands, April 19th, 2023

Leveraging Graph Embedding for Opinion Leader Detection in Dynamic Social Networks.
Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

Influential Node Detection on Graph on Event Sequence.
Proceedings of the Complex Networks & Their Applications XII, 2023

Model-based Sparse Communication in Multi-agent Reinforcement Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
MGTCOM: Community Detection in Multimodal Graphs.
CoRR, 2022

A Survey of Multi-Agent Reinforcement Learning with Communication.
CoRR, 2022

A Versatile Adaptive Curriculum Learning Framework for Task-oriented Dialogue Policy Learning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

2021
Optimizing Adaptive Notifications in Mobile Health Interventions Systems: Reinforcement Learning from a Data-driven Behavioral Simulator.
J. Medical Syst., 2021

Using Cognitive Models to Train Warm Start Reinforcement Learning Agents for Human-Computer Interactions.
CoRR, 2021

Efficient Dialogue Complementary Policy Learning via Deep Q-network Policy and Episodic Memory Policy.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Extracting Stances on Pandemic Measures from Social Media Data.
Proceedings of the 17th IEEE International Conference on eScience, 2021

2020
STBins: Visual Tracking and Comparison of Multiple Data Sequences Using Temporal Binning.
IEEE Trans. Vis. Comput. Graph., 2020

Dutch General Public Reaction on Governmental COVID-19 Measures and Announcements in Twitter Data.
CoRR, 2020

Public Sentiment on Governmental COVID-19 Measures in Dutch Social Media.
Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020

PEDNet: A Persona Enhanced Dual Alternating Learning Network for Conversational Response Generation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

METNet: A Mutual Enhanced Transformation Network for Aspect-based Sentiment Analysis.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2018
A Data-driven Study on Preferred Situations for Running.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

2017
Early Signals of Trending Rumor Event in Streaming Social Media.
Proceedings of the 41st IEEE Annual Computer Software and Applications Conference, 2017

Study on the social networks based on Japanese social events from name card data.
Proceedings of the 2017 International Conference on Behavioral, 2017

How Triangle Structure in Inter-firm Human Network Affects Bankruptcy Evolution: An Agent-Based Simulation Study with Real and Artificial Data.
Proceedings of the Advances in Human Factors in Simulation and Modeling, 2017

2016
The impact of human relationship on bankruptcy-related evolution of inter-firm trade network.
Proceedings of the Winter Simulation Conference, 2016

2015
Detecting rumor patterns in streaming social media.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015


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