Detecting rumor patterns in streaming social media. - Shihan Wang 001; Takao Terano (IEEE BigData, 2015)

The impact of human relationship on bankruptcy-related evolution of inter-firm trade network. - Shihan Wang 001; Mohsen Jafari Songhori; Shuang Chang; Takao Terano (WSC, 2016)

How Triangle Structure in Inter-firm Human Network Affects Bankruptcy Evolution: An Agent-Based Simulation Study with Real and Artificial Data. - Shihan Wang 001; Mohsen Jafari Songhori; Shuang Chang; Takao Terano (AHFE (7), 2017)

Study on the social networks based on Japanese social events from name card data. - Ling Tan; Shihan Wang 001; Takao Terano (BESC, 2017)

Early Signals of Trending Rumor Event in Streaming Social Media. - Shihan Wang 001; Izabela Moise; Dirk Helbing; Takao Terano (COMPSAC (2), 2017)

A Data-driven Study on Preferred Situations for Running. - Shihan Wang 001; Joris Alexander Timmer; Simon Scheider; Karlijn Sporrel; Zeynep Akata; Ben J. A. Kröse (UbiComp/ISWC Adjunct, 2018)

METNet: A Mutual Enhanced Transformation Network for Aspect-based Sentiment Analysis. - Bin Jiang 006; Jing Hou; Wanyue Zhou; Chao Yang 015; Shihan Wang 001; Liang Pang (COLING, 2020)

PEDNet: A Persona Enhanced Dual Alternating Learning Network for Conversational Response Generation. - Bin Jiang 006; Wanyue Zhou; Jingxu Yang; Chao Yang 015; Shihan Wang 001; Liang Pang (COLING, 2020)

Public Sentiment on Governmental COVID-19 Measures in Dutch Social Media. - Shihan Wang 001; Marijn Schraagen; Erik Tjong Kim Sang; Mehdi Dastani (NLP4COVID@EMNLP, 2020)

Dutch General Public Reaction on Governmental COVID-19 Measures and Announcements in Twitter Data. - Shihan Wang 001; Marijn Schraagen; Erik Tjong Kim Sang; Mehdi Dastani (CoRR, 2020)

STBins: Visual Tracking and Comparison of Multiple Data Sequences Using Temporal Binning. - Ji Qi; Vincent Bloemen; Shihan Wang 001; Jarke J. van Wijk; Huub van de Wetering (IEEE Trans. Vis. Comput. Graph., 2020)

Extracting Stances on Pandemic Measures from Social Media Data. - Erik Tjong Kim Sang; Shihan Wang 001; Marijn Schraagen; Mehdi Dastani (e-Science, 2021)

Efficient Dialogue Complementary Policy Learning via Deep Q-network Policy and Episodic Memory Policy. - Yangyang Zhao; Zhenyu Wang 001; Changxi Zhu; Shihan Wang 001 (EMNLP (1), 2021)

Using Cognitive Models to Train Warm Start Reinforcement Learning Agents for Human-Computer Interactions. - Chao Zhang 071; Shihan Wang 001; Henk Aarts; Mehdi Dastani (CoRR, 2021)

Optimizing Adaptive Notifications in Mobile Health Interventions Systems: Reinforcement Learning from a Data-driven Behavioral Simulator. - Shihan Wang 001; Chao Zhang 071; Ben J. A. Kröse; Herke van Hoof (J. Medical Syst., 2021)

A Versatile Adaptive Curriculum Learning Framework for Task-oriented Dialogue Policy Learning. - Yang Zhao; Hua Qin; Zhenyu Wang 001; Changxi Zhu; Shihan Wang 001 (NAACL-HLT (Findings), 2022)

A Survey of Multi-Agent Reinforcement Learning with Communication. - Changxi Zhu; Mehdi Dastani; Shihan Wang 001 (CoRR, 2022)

MGTCOM: Community Detection in Multimodal Graphs. - Egor Dmitriev; Mel W. Chekol; Shihan Wang 001 (CoRR, 2022)

Model-based Sparse Communication in Multi-agent Reinforcement Learning. - Shuai Han; Mehdi Dastani; Shihan Wang 001 (AAMAS, 2023)

Influential Node Detection on Graph on Event Sequence. - Zehao Lu; Shihan Wang 001; Xiao-Long Ren; Rodrigo Costas 001; Tamara Metze (COMPLEX NETWORKS (3), 2023)

Leveraging Graph Embedding for Opinion Leader Detection in Dynamic Social Networks. - Yunming Hui; Mel Chekol; Shihan Wang 001 (ECAI Workshops (2), 2023)

Preface to Using AI Methods for Health Behavior Change. - Chao Zhang 071; Shihan Wang 001; Baptist Liefooghe; Hanne Spelt; Jiaxin Xu; Wijnand A. IJsselsteijn (PERSUASIVE (Adjunct), 2023)

Rescue Conversations from Dead-ends: Efficient Exploration for Task-oriented Dialogue Policy Optimization. - Yangyang Zhao; Zhenyu Wang 001; Mehdi Dastani; Shihan Wang 001 (CoRR, 2023)

Leveraging Graph Embeddings for Opinion Leader Detection. - Yunming Hui; Luuk Buijsman; Mel Chekol; Shihan Wang 001 (CoRR, 2023)

Bootstrapped Policy Learning: Goal Shaping for Efficient Task-oriented Dialogue Policy Learning. - Yangyang Zhao; Mehdi Dastani; Shihan Wang 001 (AAMAS, 2024)

Learning Reward Structure with Subtasks in Reinforcement Learning. - Shuai Han; Mehdi Dastani; Shihan Wang 001 (ECAI, 2024)

Bootstrapped Policy Learning for Task-oriented Dialogue through Goal Shaping. - Yangyang Zhao; Ben Niu; Mehdi Dastani; Shihan Wang 001 (EMNLP, 2024)

Human-Centered AI for Dementia Care: Using Reinforcement Learning for Personalized Interventions Support in Eating and Drinking Scenarios. - Wen-Tseng Chang; Shihan Wang 001; Stephanie Kramer; Michel Oey; Somaya Ben Allouch (HHAI, 2024)

Intelligent Support Systems for Lifestyle Change: Integrating Dialogue, Information Extraction, and Reasoning. - Pei-Yu Chen; Selene Baez Santamaría; Maaike H. T. de Boer; Floris den Hengst; Bart A. Kamphorst; Quirine T. S. Smit; Shihan Wang 001; Johanna Wolff (HHAI, 2024)

Sample Efficient Reinforcement Learning by Automatically Learning to Compose Subtasks. - Shuai Han; Mehdi Dastani; Shihan Wang 001 (CoRR, 2024)

Knowledge acquisition for dialogue agents using reinforcement learning on graph representations. - Selene Baez Santamaría; Shihan Wang 001; Piek Vossen (CoRR, 2024)

Balancing the Scales: Reinforcement Learning for Fair Classification. - Leon Eshuijs; Shihan Wang 001; Antske Fokkens (CoRR, 2024)

Non-Progressive Influence Maximization in Dynamic Social Networks. - Yunming Hui; Shihan Wang 001; Melisachew Wudage Chekol; Stevan Rudinac; Inez Maria Zwetsloot (CoRR, 2024)

Viewpoint: Hybrid Intelligence Supports Application Development for Diabetes Lifestyle Management. - 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 001; et al. (J. Artif. Intell. Res., 2024)

Rescue Conversations from Dead-ends: Efficient Exploration for Task-oriented Dialogue Policy Optimization. - Yangyang Zhao; Mehdi Dastani; Jinchuan Long; Zhenyu Wang 001; Shihan Wang 001 (Trans. Assoc. Comput. Linguistics, 2024)

Decomposed Deep Q-Network for Coherent Task-Oriented Dialogue Policy Learning. - Yangyang Zhao; Kai Yin; Zhenyu Wang 001; Mehdi Dastani; Shihan Wang 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

A survey of multi-agent deep reinforcement learning with communication. - Changxi Zhu; Mehdi Dastani; Shihan Wang 001 (Auton. Agents Multi Agent Syst., 2024)

Correction: A survey of multi-agent deep reinforcement learning with communication. - Changxi Zhu; Mehdi Dastani; Shihan Wang 001 (Auton. Agents Multi Agent Syst., 2024)

An Efficient Task-Oriented Dialogue Policy: Evolutionary Reinforcement Learning Injected by Elite Individuals. - Yangyang Zhao; Ben Niu; Libo Qin 001; Shihan Wang 001 (ACL (1), 2025)

Reducing Variance Caused by Communication in Decentralized Multi-agent Deep Reinforcement Learning. - Changxi Zhu; Mehdi Dastani; Shihan Wang 001 (AAMAS, 2025)

Sparse communication in multi-agent deep reinforcement learning. - Shuai Han; Mehdi Dastani; Shihan Wang 001 (Neurocomputing, 2025)

SHARPIE: A Modular Framework for Reinforcement Learning and Human-AI Interaction Experiments. - Hüseyin Aydin; Kevin Godin-Dubois; Libio Goncalvez Braz; Floris den Hengst; Kim Baraka; Mustafa Mert Çelikok; Andreas Sauter; Shihan Wang 001; Frans A. Oliehoek (CoRR, 2025)

Short-circuiting Shortcuts: Mechanistic Investigation of Shortcuts in Text Classification. - Leon Eshuijs; Shihan Wang 001; Antske Fokkens (CoRR, 2025)

Credit Assignment and Efficient Exploration based on Influence Scope in Multi-agent Reinforcement Learning. - Shuai Han; Mehdi Dastani; Shihan Wang 001 (CoRR, 2025)

Experimental Evidence That AI-Managed Workers Tolerate Lower Pay Without Demotivation. - Mengchen Dong; Levin Brinkmann; Omar Sherif; Shihan Wang 001; Xinyu Zhang; Jean-François Bonnefon; Iyad Rahwan (CoRR, 2025)

Communication with factorized policy gradients in multi-agent deep reinforcement learning. - Changxi Zhu; Mehdi Dastani; Shihan Wang 001 (Neural Comput. Appl., 2025)