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Qianyue Hao
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2020 – today
- 2025
- [j2]Yu Zheng
, Qianyue Hao
A Survey of Machine Learning for Urban Decision Making: Applications in Planning, Transportation, and Healthcare. ACM Comput. Surv. 57(4): 99:1-99:41 (2025) - [c8]Jingwei Wang
CoopRide: Cooperate All Grids in City-Scale Ride-Hailing Dispatching with Multi-Agent Reinforcement Learning. KDD (1) 2025: 1457-1468 - [i4]Fengli Xu, Qianyue Hao, Zefang Zong, Jingwei Wang, Yunke Zhang, Jingyi Wang, Xiaochong Lan, Jiahui Gong, Tianjian Ouyang, Fanjin Meng, Chenyang Shao, Yuwei Yan, Qinglong Yang, Yiwen Song, Sijian Ren, Xinyuan Hu, Yu Li, Jie Feng, Chen Gao, Yong Li:
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models. CoRR abs/2501.09686 (2025) - 2024
- [c7]Jingwei Wang
DyPS: Dynamic Parameter Sharing in Multi-Agent Reinforcement Learning for Spatio-Temporal Resource Allocation. KDD 2024: 3128-3139 - [c6]Qianyue Hao, Jingyang Fan, Fengli Xu, Jian Yuan, Yong Li:
HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction. NeurIPS 2024 - [i3]Qianyue Hao, Jingyang Fan, Fengli Xu, Jian Yuan, Yong Li:
HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction. CoRR abs/2410.09112 (2024) - [i2]Jing Yi Wang, Nicholas Sukiennik, Tong Li, Weikang Su, Qianyue Hao, Jingbo Xu, Zihan Huang, Fengli Xu, Yong Li:
A Survey on Human-Centric LLMs. CoRR abs/2411.14491 (2024) - [i1]Qianyue Hao, Fengli Xu, Yong Li, James A. Evans:
AI Expands Scientists' Impact but Contracts Science's Focus. CoRR abs/2412.07727 (2024) - 2023
- [j1]Qianyue Hao
Hierarchical Multi-agent Model for Reinforced Medical Resource Allocation with Imperfect Information. ACM Trans. Intell. Syst. Technol. 14(1): 8:1-8:27 (2023) - [c5]Lin Chen, Fengli Xu, Qianyue Hao, Pan Hui, Yong Li:
Getting Back on Track: Understanding COVID-19 Impact on Urban Mobility and Segregation with Location Service Data. ICWSM 2023: 126-136 - [c4]Qianyue Hao
GAT-MF: Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement Learning. KDD 2023: 685-697 - 2022
- [c3]Qianyue Hao, Wenzhen Huang, Fengli Xu, Kun Tang, Yong Li:
Reinforcement Learning Enhances the Experts: Large-scale COVID-19 Vaccine Allocation with Multi-factor Contact Network. KDD 2022: 4684-4694 - 2021
- [c2]Qianyue Hao, Fengli Xu, Lin Chen, Pan Hui, Yong Li:
Hierarchical Reinforcement Learning for Scarce Medical Resource Allocation with Imperfect Information. KDD 2021: 2955-2963 - 2020
- [c1]Qianyue Hao, Lin Chen, Fengli Xu, Yong Li:
Understanding the Urban Pandemic Spreading of COVID-19 with Real World Mobility Data. KDD 2020: 3485-3492
Coauthor Index
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