| A survey of multi-agent deep reinforcement learning with communication C Zhu, M Dastani, S Wang Autonomous Agents and Multi-Agent Systems 38 (1), 4, 2024 | 99* | 2024 |
| Detecting rumor patterns in streaming social media S Wang, T Terano 2015 IEEE International Conference on Big Data (Big Data), 2709-2715, 2015 | 83 | 2015 |
| Unraveling Mobile Health Exercise Interventions for Adults: Scoping Review on the Implementations and Designs of Persuasive Strategies K Sporrel, N Nibbeling, S Wang, D Ettema, M Simons JMIR mHealth and uHealth 9 (1), e16282, 2021 | 45 | 2021 |
| Optimizing Adaptive Notifications in Mobile Health Interventions Systems: Reinforcement Learning from a Data-driven Behavioral Simulator S Wang, C Zhang, B Kröse, H van Hoof Journal of Medical Systems 45 (12), 1-8, 2021 | 35 | 2021 |
| The design and development of a personalized leisure time physical activity application based on behavior change theories, end-user perceptions, and principles from empirical … K Sporrel, RDD De Boer, S Wang, N Nibbeling, M Simons, M Deutekom, ... Frontiers in Public Health 8, 711, 2021 | 33* | 2021 |
| Public Sentiment on Governmental COVID-19 Measures in Dutch Social Media S Wang, M Schraagen, ETK Sang, M Dastani | 29 | 2020 |
| Reinforcement Learning to Send Reminders at Right Moments in Smartphone Exercise Application: A Feasibility Study S Wang, K Sporrel, H van Hoof, M Simons, RDD de Boer, D Ettema, ... International Journal of Environmental Research and Public Health 18 (11), 6059, 2021 | 28 | 2021 |
| METNet: A Mutual Enhanced Transformation Network for Aspect-based Sentiment Analysis B Jiang, J Hou, W Zhou, C Yang, S Wang, L Pang Proceedings of the 28th International Conference on Computational …, 2020 | 16 | 2020 |
| Early signals of trending rumor event in streaming social media S Wang, I Moise, D Helbing, T Terano 2017 IEEE 41st Annual Computer Software and Applications Conference (COMPSAC …, 2017 | 14 | 2017 |
| What are Good Situations for Running? A Machine Learning Study using Mobile and Geographical Data S Wang, S Scheider, K Sporrel, M Deutekom, J Timmer, B Kröse Frontiers in Public Health 8, 985, 2021 | 13 | 2021 |
| Dutch General Public Reaction on Governmental COVID-19 Measures and Announcements in Twitter Data S Wang, M Schraagen, ETK Sang, M Dastani arXiv preprint arXiv:2006.07283, 2020 | 13 | 2020 |
| Just-in-Time Prompts for Running, Walking, and Performing Strength Exercises in the Built Environment: 4-Week Randomized Feasibility Study K Sporrel, S Wang, DDF Ettema, N Nibbeling, BJA Krose, M Deutekom, ... JMIR Formative Research 6 (8), e35268, 2022 | 11 | 2022 |
| Efficient Dialogue Complementary Policy Learning via Deep Q-network Policy and Episodic Memory Policy Y Zhao, Z Wang, C Zhu, S Wang Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 10 | 2021 |
| STBins: visual tracking and comparison of multiple data sequences using temporal binning J Qi, V Bloemen, S Wang, J van Wijk, H van de Wetering IEEE Transactions on visualization and computer graphics 26 (1), 1054-1063, 2019 | 10 | 2019 |
| Using Cognitive Models to Train Warm Start Reinforcement Learning Agents for Human-Computer Interactions C Zhang, S Wang, H Aarts, M Dastani arXiv preprint arXiv:2103.06160, 2021 | 9 | 2021 |
| Model-based Sparse Communication in Multi-agent Reinforcement Learning S Han, M Dastani, S Wang Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023 | 6 | 2023 |
| PEDNet: A Persona Enhanced Dual Alternating Learning Network for Conversational Response Generation B Jiang, W Zhou, J Yang, C Yang, S Wang, L Pang Proceedings of the 28th International Conference on Computational …, 2020 | 5 | 2020 |
| A Data-driven Study on Preferred Situations for Running S Wang, JA Timmer, S Scheider, K Sporrel, Z Akata, B Kröse Proceedings of the 2018 ACM International Joint Conference and 2018 …, 2018 | 5 | 2018 |
| A Versatile Adaptive Curriculum Learning Framework for Task-oriented Dialogue Policy Learning Y Zhao, H Qin, W Zhenyu, C Zhu, S Wang Findings of the Association for Computational Linguistics: NAACL 2022, 711-723, 2022 | 3 | 2022 |
| Evolutionary Computing and Artificial Intelligence F Koch, A Yoshikawa, S Wang, T Terano Springer Singapore, 2019 | 3 | 2019 |
Mehdi DastaniProfessor, Chair for Intelligent Systems, Utrecht UniversityVerified email at uu.nl
