Qianyue Hao
Orcid: 0000-0002-7109-3588
According to our database1,
Qianyue Hao
authored at least 16 papers
between 2020 and 2025.
Collaborative distances:
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Bibliography
2025
Multiple Weaks Win Single Strong: Large Language Models Ensemble Weak Reinforcement Learning Agents into a Supreme One.
CoRR, May, 2025
LLM-Explorer: A Plug-in Reinforcement Learning Policy Exploration Enhancement Driven by Large Language Models.
CoRR, May, 2025
CoRR, May, 2025
A Survey of Machine Learning for Urban Decision Making: Applications in Planning, Transportation, and Healthcare.
ACM Comput. Surv., April, 2025
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models.
CoRR, January, 2025
CoopRide: Cooperate All Grids in City-Scale Ride-Hailing Dispatching with Multi-Agent Reinforcement Learning.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025
2024
HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
DyPS: Dynamic Parameter Sharing in Multi-Agent Reinforcement Learning for Spatio-Temporal Resource Allocation.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
2023
Hierarchical Multi-agent Model for Reinforced Medical Resource Allocation with Imperfect Information.
ACM Trans. Intell. Syst. Technol., February, 2023
GAT-MF: Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Getting Back on Track: Understanding COVID-19 Impact on Urban Mobility and Segregation with Location Service Data.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023
2022
Reinforcement Learning Enhances the Experts: Large-scale COVID-19 Vaccine Allocation with Multi-factor Contact Network.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
2021
Hierarchical Reinforcement Learning for Scarce Medical Resource Allocation with Imperfect Information.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
2020
Understanding the Urban Pandemic Spreading of COVID-19 with Real World Mobility Data.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020