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ORCIDShihan Wang 0001
Person information
- affiliation: Utrecht University, Utrecht, The Netherlands
- affiliation (former): University of Amsterdam, The Netherlands
- affiliation (former): Tokyo Institute of Technology, Japan
Other persons with the same name
- Shihan Wang 0002
![[0000-0002-2558-3666]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-2558-3666")
— National Space Science Center, Chinese Academy of Sciences, Beijing, China - Shihan Wang 0003 — Tongji University, Shanghai, China
- Shihan Wang 0004 — Beijing Jiaotong University, School of Software Engineering, China
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Journal Articles
- 2024
[j6]Changxi Zhu, Mehdi Dastani, Shihan Wang:
A survey of multi-agent deep reinforcement learning with communication. Auton. Agents Multi Agent Syst. 38(1): 4 (2024)- [j5]Changxi Zhu, Mehdi Dastani, Shihan Wang:
Correction: A survey of multi-agent deep reinforcement learning with communication. Auton. Agents Multi Agent Syst. 38(1): 11 (2024) - [j4]Bernd Dudzik, Jasper van der Waa, Pei-Yu Chen, Roel Dobbe, Inago M. D. R. de Troya, Roos M. Bakker, Maaike H. T. de Boer, Quirine T. S. Smit, Davide Dell'Anna, Emre Erdogan, Pinar Yolum, Shihan Wang, Selene Baez Santamaría, Lea Krause, Bart A. Kamphorst:
Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management. J. Artif. Intell. Res. 80: 919-929 (2024) - [j3]Yangyang Zhao, Kai Yin, Zhenyu Wang, Mehdi Dastani, Shihan Wang:
Decomposed Deep Q-Network for Coherent Task-Oriented Dialogue Policy Learning. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1380-1391 (2024) - 2021
- [j2]Shihan Wang, Chao Zhang, Ben J. A. Kröse, Herke van Hoof:
Optimizing Adaptive Notifications in Mobile Health Interventions Systems: Reinforcement Learning from a Data-driven Behavioral Simulator. J. Medical Syst. 45(12): 102 (2021) - 2020
- [j1]Ji Qi, Vincent Bloemen, Shihan Wang, Jarke J. van Wijk, Huub van de Wetering:
STBins: Visual Tracking and Comparison of Multiple Data Sequences Using Temporal Binning. IEEE Trans. Vis. Comput. Graph. 26(1): 1054-1063 (2020)
Conference and Workshop Papers
- 2024
- [c20]Yangyang Zhao, Mehdi Dastani, Shihan Wang:
Bootstrapped Policy Learning: Goal Shaping for Efficient Task-oriented Dialogue Policy Learning. AAMAS 2024: 2615-2617 - [c19]Changxi Zhu, Mehdi Dastani, Shihan Wang:
A Survey of Multi-Agent Deep Reinforcement Learning with Communication. AAMAS 2024: 2845-2847 - [c18]Wen-Tseng Chang, Shihan Wang, Stephanie Kramer, Michel Oey, Somaya Ben Allouch:
Human-Centered AI for Dementia Care: Using Reinforcement Learning for Personalized Interventions Support in Eating and Drinking Scenarios. HHAI 2024: 84-93 - [c17]Pei-Yu Chen, Selene Baez Santamaría, Maaike H. T. de Boer, Floris den Hengst, Bart A. Kamphorst, Quirine T. S. Smit, Shihan Wang, Johanna Wolff:
Intelligent Support Systems for Lifestyle Change: Integrating Dialogue, Information Extraction, and Reasoning. HHAI 2024: 457-459 - 2023
- [c16]Shuai Han, Mehdi Dastani, Shihan Wang:
Model-based Sparse Communication in Multi-agent Reinforcement Learning. AAMAS 2023: 439-447 - [c15]Zehao Lu, Shihan Wang, Xiao-Long Ren, Rodrigo Costas, Tamara Metze:
Influential Node Detection on Graph on Event Sequence. COMPLEX NETWORKS (3) 2023: 147-158 - [c14]Yunming Hui, Mel Chekol, Shihan Wang:
Leveraging Graph Embedding for Opinion Leader Detection in Dynamic Social Networks. ECAI Workshops (2) 2023: 5-22 - [c13]Chao Zhang, Shihan Wang, Baptist Liefooghe, Hanne Spelt, Jiaxin Xu, Wijnand A. IJsselsteijn:
Preface to Using AI Methods for Health Behavior Change. PERSUASIVE (Adjunct) 2023 - 2022
- [c12]Yang Zhao, Hua Qin, Zhenyu Wang, Changxi Zhu, Shihan Wang:
A Versatile Adaptive Curriculum Learning Framework for Task-oriented Dialogue Policy Learning. NAACL-HLT (Findings) 2022: 711-723 - 2021
- [c11]Erik Tjong Kim Sang, Shihan Wang, Marijn Schraagen, Mehdi Dastani:
Extracting Stances on Pandemic Measures from Social Media Data. e-Science 2021: 231-232 - [c10]Yangyang Zhao, Zhenyu Wang, Changxi Zhu, Shihan Wang:
Efficient Dialogue Complementary Policy Learning via Deep Q-network Policy and Episodic Memory Policy. EMNLP (1) 2021: 4311-4323 - 2020
- [c9]Bin Jiang, Jing Hou, Wanyue Zhou, Chao Yang, Shihan Wang, Liang Pang:
METNet: A Mutual Enhanced Transformation Network for Aspect-based Sentiment Analysis. COLING 2020: 162-172 - [c8]Bin Jiang, Wanyue Zhou, Jingxu Yang, Chao Yang, Shihan Wang, Liang Pang:
PEDNet: A Persona Enhanced Dual Alternating Learning Network for Conversational Response Generation. COLING 2020: 4089-4099 - [c7]Shihan Wang, Marijn Schraagen, Erik Tjong Kim Sang, Mehdi Dastani:
Public Sentiment on Governmental COVID-19 Measures in Dutch Social Media. NLP4COVID@EMNLP 2020 - 2018
- [c6]Shihan Wang, Joris Alexander Timmer, Simon Scheider, Karlijn Sporrel, Zeynep Akata, Ben J. A. Kröse:
A Data-driven Study on Preferred Situations for Running. UbiComp/ISWC Adjunct 2018: 283-286 - 2017
- [c5]Shihan Wang, Mohsen Jafari Songhori, Shuang Chang, Takao Terano:
How Triangle Structure in Inter-firm Human Network Affects Bankruptcy Evolution: An Agent-Based Simulation Study with Real and Artificial Data. AHFE (7) 2017: 285-296 - [c4]Ling Tan, Shihan Wang, Takao Terano:
Study on the social networks based on Japanese social events from name card data. BESC 2017: 1-5 - [c3]Shihan Wang, Izabela Moise, Dirk Helbing, Takao Terano:
Early Signals of Trending Rumor Event in Streaming Social Media. COMPSAC (2) 2017: 654-659 - 2016
- [c2]Shihan Wang, Mohsen Jafari Songhori, Shuang Chang, Takao Terano:
The impact of human relationship on bankruptcy-related evolution of inter-firm trade network. WSC 2016: 3405-3416 - 2015
- [c1]Shihan Wang, Takao Terano:
Detecting rumor patterns in streaming social media. IEEE BigData 2015: 2709-2715
Informal and Other Publications
- 2024
- [i9]Shuai Han, Mehdi Dastani, Shihan Wang:
Sample Efficient Reinforcement Learning by Automatically Learning to Compose Subtasks. CoRR abs/2401.14226 (2024) - [i8]Selene Baez Santamaría, Shihan Wang, Piek Vossen:
Knowledge acquisition for dialogue agents using reinforcement learning on graph representations. CoRR abs/2406.19500 (2024) - [i7]Leon Eshuijs, Shihan Wang, Antske Fokkens:
Balancing the Scales: Reinforcement Learning for Fair Classification. CoRR abs/2407.10629 (2024) - 2023
- [i6]Yangyang Zhao, Zhenyu Wang, Mehdi Dastani, Shihan Wang:
Rescue Conversations from Dead-ends: Efficient Exploration for Task-oriented Dialogue Policy Optimization. CoRR abs/2305.03262 (2023) - [i5]Yunming Hui, Luuk Buijsman, Mel Chekol, Shihan Wang:
Leveraging Graph Embeddings for Opinion Leader Detection. CoRR abs/2305.08663 (2023) - 2022
- [i4]Changxi Zhu, Mehdi Dastani, Shihan Wang:
A Survey of Multi-Agent Reinforcement Learning with Communication. CoRR abs/2203.08975 (2022) - [i3]Egor Dmitriev, Mel W. Chekol, Shihan Wang:
MGTCOM: Community Detection in Multimodal Graphs. CoRR abs/2211.06331 (2022) - 2021
- [i2]Chao Zhang, Shihan Wang, Henk Aarts, Mehdi Dastani:
Using Cognitive Models to Train Warm Start Reinforcement Learning Agents for Human-Computer Interactions. CoRR abs/2103.06160 (2021) - 2020
- [i1]Shihan Wang, Marijn Schraagen, Erik Tjong Kim Sang, Mehdi Dastani:
Dutch General Public Reaction on Governmental COVID-19 Measures and Announcements in Twitter Data. CoRR abs/2006.07283 (2020)
Coauthor Index
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last updated on 2024-09-05 23:35 CEST by the dblp team
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