Qianyue Hao

21 papers A* 6A 2Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Survey of Machine Learning for Urban Decision Making: Applications in Planning, Transportation, and Healthcare.
ACM Comput. Surv.
Yu Zheng, Qianyue Hao, Jingwei Wang, Changzheng Gao, Jinwei Chen, Depeng Jin, Yong Li
2025 A conf
CityLight: A Neighborhood-inclusive Universal Model for Coordinated City-scale Traffic Signal Control.
CIKM
Jinwei Zeng, Chao Yu, Xinyi Yang, Wenxuan Ao, Qianyue Hao, Jian Yuan, Yong Li, Yu Wang, Huazhong Yang
2025 — conf
CoopRide: Cooperate All Grids in City-Scale Ride-Hailing Dispatching with Multi-Agent Reinforcement Learning.
KDD (1)
Jingwei Wang, Qianyue Hao, Wenzhen Huang, Xiaochen Fan, Qin Zhang, Zhentao Tang, Bin Wang, Jianye Hao, Yong Li
2025 J jnl
KeyWorld: Key Frame Reasoning Enables Effective and Efficient World Models.
CoRR
Sibo Li, Qianyue Hao, Yu Shang, Yong Li
2025 J jnl
LLM-Explorer: A Plug-in Reinforcement Learning Policy Exploration Enhancement Driven by Large Language Models.
CoRR
Qianyue Hao, Yiwen Song, Qingmin Liao, Jian Yuan, Yong Li
2025 J jnl
Multiple Weaks Win Single Strong: Large Language Models Ensemble Weak Reinforcement Learning Agents into a Supreme One.
CoRR
Yiwen Song, Qianyue Hao, Qingmin Liao, Jian Yuan, Yong Li
2025 J jnl
RL of Thoughts: Navigating LLM Reasoning with Inference-time Reinforcement Learning.
CoRR
Qianyue Hao, Sibo Li, Jian Yuan, Yong Li
2025 J jnl
Reinforcement Learning Fine-Tuning Enhances Activation Intensity and Diversity in the Internal Circuitry of LLMs.
CoRR
Honglin Zhang, Qianyue Hao, Fengli Xu, Yong Li
2025 J jnl
Toward large reasoning models: A survey of reinforced reasoning with large language models.
Patterns
Fengli Xu, Qianyue Hao, Chenyang Shao, Zefang Zong, Yu Li, Jingwei Wang, Yunke Zhang, Jingyi Wang, Xiaochong Lan, Jiahui Gong, Tianjian Ouyang, Fanjin Meng, Yuwei Yan, Qinglong Yang, Yiwen Song, Sijian Ren, Xinyuan Hu, Jie Feng, Chen Gao, Yong Li
2025 J jnl
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models.
CoRR
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
2024 J jnl
A Survey on Human-Centric LLMs.
CoRR
Jing Yi Wang, Nicholas Sukiennik, Tong Li, Weikang Su, Qianyue Hao, Jingbo Xu, Zihan Huang, Fengli Xu, Yong Li
2024 J jnl
AI Expands Scientists' Impact but Contracts Science's Focus.
CoRR
Qianyue Hao, Fengli Xu, Yong Li, James A. Evans
2024 A* conf
DyPS: Dynamic Parameter Sharing in Multi-Agent Reinforcement Learning for Spatio-Temporal Resource Allocation.
KDD
Jingwei Wang, Qianyue Hao, Wenzhen Huang, Xiaochen Fan, Zhentao Tang, Bin Wang, Jianye Hao, Yong Li
2024 A* conf
HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction.
NeurIPS
Qianyue Hao, Jingyang Fan, Fengli Xu, Jian Yuan, Yong Li
2024 J jnl
HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction.
CoRR
Qianyue Hao, Jingyang Fan, Fengli Xu, Jian Yuan, Yong Li
2023 A* conf
GAT-MF: Graph Attention Mean Field for Very Large Scale Multi-Agent Reinforcement Learning.
KDD
Qianyue Hao, Wenzhen Huang, Tao Feng, Jian Yuan, Yong Li
2023 A conf
Getting Back on Track: Understanding COVID-19 Impact on Urban Mobility and Segregation with Location Service Data.
ICWSM
Lin Chen, Fengli Xu, Qianyue Hao, Pan Hui, Yong Li
2023 J jnl
Hierarchical Multi-agent Model for Reinforced Medical Resource Allocation with Imperfect Information.
ACM Trans. Intell. Syst. Technol.
Qianyue Hao, Fengli Xu, Lin Chen, Pan Hui, Yong Li
2022 A* conf
Reinforcement Learning Enhances the Experts: Large-scale COVID-19 Vaccine Allocation with Multi-factor Contact Network.
KDD
Qianyue Hao, Wenzhen Huang, Fengli Xu, Kun Tang, Yong Li
2021 A* conf
Hierarchical Reinforcement Learning for Scarce Medical Resource Allocation with Imperfect Information.
KDD
Qianyue Hao, Fengli Xu, Lin Chen, Pan Hui, Yong Li
2020 A* conf
Understanding the Urban Pandemic Spreading of COVID-19 with Real World Mobility Data.
KDD
Qianyue Hao, Lin Chen, Fengli Xu, Yong Li