| Quality-driven auction-based incentive mechanism for mobile crowd sensing Y Wen, J Shi, Q Zhang, X Tian, Z Huang, H Yu, Y Cheng, X Shen IEEE transactions on vehicular technology 64 (9), 4203-4214, 2014 | 242 | 2014 |
| Incentivize crowd labeling under budget constraint Q Zhang, Y Wen, X Tian, X Gan, X Wang 2015 IEEE Conference on Computer Communications (INFOCOM), 2812-2820, 2015 | 118 | 2015 |
| Knowledge infused policy gradients with upper confidence bound for relational bandits K Roy, Q Zhang, M Gaur, A Sheth Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021 | 20 | 2021 |
| Process knowledge-infused learning for suicidality assessment on social media K Roy, M Gaur, Q Zhang, A Sheth arXiv preprint arXiv:2204.12560, 2022 | 16 | 2022 |
| Knowledge infused policy gradients for adaptive pandemic control K Roy, Q Zhang, M Gaur, A Sheth arXiv preprint arXiv:2102.06245, 2021 | 15 | 2021 |
| Process knowledge-infused learning for clinician-friendly explanations K Roy, Y Zi, M Gaur, J Malekar, Q Zhang, V Narayanan, A Sheth Proceedings of the AAAI Symposium Series 1 (1), 154-160, 2023 | 14 | 2023 |
| Commitment Semantics for Sequential Decision Making under Reward Uncertainty. Q Zhang, EH Durfee, S Singh, A Chen, SJ Witwicki IJCAI, 3315-3323, 2016 | 12 | 2016 |
| Convergence and price of anarchy guarantees of the softmax policy gradient in markov potential games D Chen, Q Zhang, TT Doan arXiv preprint arXiv:2206.07642, 2022 | 11 | 2022 |
| Communication-efficient actor-critic methods for homogeneous markov games D Chen, Y Li, Q Zhang arXiv preprint arXiv:2202.09422, 2022 | 9 | 2022 |
| Minimizing Maximum Regret in Commitment Constrained Sequential Decision Making Q Zhang, S Singh, E Durfee Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017 | 8 | 2017 |
| Semantics and algorithms for trustworthy commitment achievement under model uncertainty Q Zhang, EH Durfee, S Singh Autonomous Agents and Multi-Agent Systems 34 (1), 19, 2020 | 5 | 2020 |
| Learning to communicate and solve visual blocks-world tasks Q Zhang, R Lewis, S Singh, E Durfee Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5781-5788, 2019 | 4 | 2019 |
| Challenges in the Trustworthy Pursuit of Maintenance Commitments Under Uncertainty Q Zhang, EH Durfee, SP Singh TRUST@ AAMAS, 75-86, 2018 | 4 | 2018 |
| Modeling Probabilistic Commitments for Maintenance Is Inherently Harder than for Achievement Q Zhang, EH Durfee, S Singh AAAI 2020, 2020 | 2 | 2020 |
| Intent-Aware Autonomous Driving: A Case Study on Highway Merging Scenarios N Mahajan, Q Zhang arXiv preprint arXiv:2309.13206, 2023 | 1 | 2023 |
| Ensemble policy distillation with reduced data distribution mismatch Y Sun, Q Zhang 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 1 | 2022 |
| Knowledge-infused Reinforcement Learning K Roy, M Gaur, Q Zhang, A Sheth | 1 | 2022 |
| A Meta-Gradient Approach to Learning Cooperative Multi-Agent Communication Topology Q Zhang, D Chen Fifth Workshop on Meta-Learning at the Conference on Neural Information …, 2021 | 1 | 2021 |
| Efficient querying for cooperative probabilistic commitments Q Zhang, EH Durfee, S Singh Proceedings of the AAAI Conference on Artificial Intelligence 35 (13), 11378 …, 2021 | 1 | 2021 |
| Efficient Sequential Decision Making with Large Language Models D Chen, Q Zhang, Y Zhu arXiv preprint arXiv:2406.12125, 2024 | | 2024 |
