Jingqing Ruan - RankMe

52 papers A* 5A 6B 2Misc 2Journal 32Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Graph Coordination Strategy in Multiagent Reinforcement Learning. IEEE Trans. Games Zhongwei Yu, Jingqing Ruan, Dengpeng Xing
2026	J	`jnl`	Harmonizing Dense and Sparse Signals in Multi-turn RL: Dual-Horizon Credit Assignment for Industrial Sales Agents. CoRR Haojin Yang, Ai Jian, Xinyue Huang, Yiwei Wang, Weipeng Zhang, Ke Zeng, Xunliang Cai, Jingqing Ruan
2026	J	`jnl`	TRUST-SQL: Tool-Integrated Multi-Turn Reinforcement Learning for Text-to-SQL over Unknown Schemas. CoRR Ai Jian, Xiaoyun Zhang, Wanrou Du, Jingqing Ruan, Jiangbo Pei, Weipeng Zhang, Ke Zeng, Xunliang Cai
2025	—	`conf`	A Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy. EMNLP (Industry Track) Xiaoyun Zhang, Jingqing Ruan, Xing Ma, Yawen Zhu, Jiansong Chen, Ke Zeng, Xunliang Cai
2025	—	`conf`	AMoPO: Adaptive Multi-objective Preference Optimization without Reward Models and Reference Models. ACL (Findings) Qi Liu, Jingqing Ruan, Hao Li, Haodong Zhao, Desheng Wang, Jiansong Chen, Guanglu Wan, Xunliang Cai, Zhi Zheng, Tong Xu
2025	J	`jnl`	AMoPO: Adaptive Multi-objective Preference Optimization without Reward Models and Reference Models. CoRR Qi Liu, Jingqing Ruan, Hao Li, Haodong Zhao, Desheng Wang, Jiansong Chen, Guanglu Wan, Xunliang Cai, Zhi Zheng, Tong Xu
2025	J	`jnl`	An End-to-End Deep Reinforcement Learning Based Modular Task Allocation Framework for Autonomous Mobile Systems. IEEE Trans Autom. Sci. Eng. Song Ma, Jingqing Ruan, Yali Du, Richard Bucknall, Yuanchang Liu
2025	J	`jnl`	Higher Satisfaction, Lower Cost: A Technical Report on How LLMs Revolutionize Meituan's Intelligent Interaction Systems. CoRR Xuxin Cheng, Ke Zeng, Zhiquan Cao, Linyi Dai, Wenxuan Gao, Fei Han, Ai Jian, Feng Hong, Wenxing Hu, Zihe Huang, Dejian Kong, Jia Leng, Zhuoyuan Liao, Pei Liu, Jiaye Lin, Xing Ma, Jingqing Ruan, Jiaxing Song, Xiaoyu Tan, Ruixuan Xiao, Wenhui Yu, WenYu Zhan, Haoxing Zhang, Chao Zhou, Hao Zhou, Shaodong Zheng, Ruinian Chen, Siyuan Chen, Ziyang Chen, Yiwen Dong, Yaoyou Fan, Yangyi Fang, Yang Gan, Shiguang Guo, Qi He, Chaowen Hu, Binghui Li, Dailin Li, Xiangyu Li, Yan Li, Chengjian Liu, Xiangfeng Liu, Jiahui Lv, Qiao Ma, Jiang Pan, Cong Qin, Chenxing Sun, Wen Sun, Zhonghui Wang, Abudukelimu Wuerkaixi, Xin Yang, Fangyi Yuan, Yawen Zhu, Tianyi Zhai, Jie Zhang, Runlai Zhang, Yao Xu, Yiran Zhao, Yifan Wang, Xunliang Cai, Yangen Hu, Cao Liu, Lu Pan, Xiaoli Wang, Bo Xiao, Wenyuan Yao, Qianlin Zhou, Benchang Zhu
2025	J	`jnl`	PaTaRM: Bridging Pairwise and Pointwise Signals via Preference-Aware Task-Adaptive Reward Modeling. CoRR Ai Jian, Jingqing Ruan, Xing Ma, Dailin Li, Qianlin Zhou, Ke Zeng, Xunliang Cai
2025	J	`jnl`	QPO: Query-dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning. Trans. Mach. Learn. Res. Yilun Kong, Hangyu Mao, Qi Zhao, Bin Zhang, Jingqing Ruan, Li Shen, Yongzhe Chang, Xueqian Wang, Rui Zhao, Dacheng Tao
2025	J	`jnl`	Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy. CoRR Xiaoyun Zhang, Jingqing Ruan, Xing Ma, Yawen Zhu, Jiansong Chen, Ke Zeng, Xunliang Cai
2025	J	`jnl`	Rediscovering Entropy Regularization: Adaptive Coefficient Unlocks Its Potential for LLM Reinforcement Learning. CoRR Xiaoyun Zhang, Xiaojian Yuan, Di Huang, Wang You, Chen Hu, Jingqing Ruan, Kejiang Chen, Xing Hu
2025	—	`conf`	When to Continue Thinking: Adaptive Thinking Mode Switching for Efficient Reasoning. EMNLP (Findings) Xiaoyun Zhang, Jingqing Ruan, Xing Ma, Yawen Zhu, Haodong Zhao, Hao Li, Jiansong Chen, Ke Zeng, Xunliang Cai
2025	J	`jnl`	When to Continue Thinking: Adaptive Thinking Mode Switching for Efficient Reasoning. CoRR Xiaoyun Zhang, Jingqing Ruan, Xing Ma, Yawen Zhu, Haodong Zhao, Hao Li, Jiansong Chen, Ke Zeng, Xunliang Cai
2024	A*	`conf`	CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control. KDD Jingqing Ruan, Ziyue Li, Hua Wei, Haoyuan Jiang, Jiaming Lu, Xuantang Xiong, Hangyu Mao, Rui Zhao
2024	J	`jnl`	CoSLight: Co-optimizing Collaborator Selection and Decision-making to Enhance Traffic Signal Control. CoRR Jingqing Ruan, Ziyue Li, Hua Wei, Haoyuan Jiang, Jiaming Lu, Xuantang Xiong, Hangyu Mao, Rui Zhao
2024	A	`conf`	DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared Knowledge. AAMAS Jiaming Lu, Jingqing Ruan, Haoyuan Jiang, Ziyue Li, Hangyu Mao, Rui Zhao
2024	J	`jnl`	Enhancing Multi-agent Coordination via Dual-channel Consensus. Mach. Intell. Res. Qingyang Zhang, Kaishen Wang, Jingqing Ruan, Yiming Yang, Dengpeng Xing, Bo Xu
2024	J	`jnl`	GuideLight: "Industrial Solution" Guidance for More Practical Traffic Signal Control Agents. CoRR Haoyuan Jiang, Xuantang Xiong, Ziyue Li, Hangyu Mao, Guanghu Sui, Jingqing Ruan, Yuheng Cheng, Hua Wei, Wolfgang Ketter, Rui Zhao
2024	J	`jnl`	Hummer: Towards Limited Competitive Preference Dataset. CoRR Li Jiang, Yusen Wu, Junwu Xiong, Jingqing Ruan, Yichuan Ding, Qingpei Guo, Zujie Wen, Jun Zhou, Xiaotie Deng
2024	A*	`conf`	Learning Causal Dynamics Models in Object-Oriented Environments. ICML Zhongwei Yu, Jingqing Ruan, Dengpeng Xing
2024	J	`jnl`	Learning Causal Dynamics Models in Object-Oriented Environments. CoRR Zhongwei Yu, Jingqing Ruan, Dengpeng Xing
2024	J	`jnl`	Learning Top-K Subtask Planning Tree Based on Discriminative Representation Pretraining for Decision-making. Mach. Intell. Res. Jingqing Ruan, Kaishen Wang, Qingyang Zhang, Dengpeng Xing, Bo Xu
2024	Misc	`conf`	MaDE: Multi-Scale Decision Enhancement for Multi-Agent Reinforcement Learning. ICASSP Jingqing Ruan, Runpeng Xie, Xuantang Xiong, Shuang Xu, Bo Xu
2024	J	`jnl`	QPO: Query-dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning. CoRR Yilun Kong, Hangyu Mao, Qi Zhao, Bin Zhang, Jingqing Ruan, Li Shen, Yongzhe Chang, Xueqian Wang, Rui Zhao, Dacheng Tao
2024	—	`conf`	TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Industry Systems. EMNLP (Industry Track) Yilun Kong, Jingqing Ruan, Yihong Chen, Bin Zhang, Tianpeng Bao, Shiwei Shi, Du Qing, Xiaoru Hu, Hangyu Mao, Ziyue Li, Xingyu Zeng, Rui Zhao, Xueqian Wang
2024	Misc	`conf`	UNeC: Unsupervised Exploring In Controllable Space. ICASSP Xuantang Xiong, Linghui Meng, Jingqing Ruan, Shuang Xu, Bo Xu
2024	A*	`conf`	X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner. IJCAI Haoyuan Jiang, Ziyue Li, Hua Wei, Xuantang Xiong, Jingqing Ruan, Jiaming Lu, Hangyu Mao, Rui Zhao
2024	J	`jnl`	X-Light: Cross-City Traffic Signal Control Using Transformer on Transformer as Meta Multi-Agent Reinforcement Learner. CoRR Haoyuan Jiang, Ziyue Li, Hua Wei, Xuantang Xiong, Jingqing Ruan, Jiaming Lu, Hangyu Mao, Rui Zhao
2023	B	`conf`	Balancing Exploration and Exploitation in Hierarchical Reinforcement Learning via Latent Landmark Graphs. IJCNN Qingyang Zhang, Yiming Yang, Jingqing Ruan, Xuantang Xiong, Dengpeng Xing, Bo Xu
2023	J	`jnl`	Balancing Exploration and Exploitation in Hierarchical Reinforcement Learning via Latent Landmark Graphs. CoRR Qingyang Zhang, Yiming Yang, Jingqing Ruan, Xuantang Xiong, Dengpeng Xing, Bo Xu
2023	A	`conf`	Cardsformer: Grounding Language to Learn a Generalizable Policy in Hearthstone. ECAI Wannian Xia, Yiming Yang, Jingqing Ruan, Dengpeng Xing, Bo Xu
2023	J	`jnl`	Controlling Large Language Model-based Agents for Large-Scale Decision-Making: An Actor-Critic Approach. CoRR Bin Zhang, Hangyu Mao, Jingqing Ruan, Ying Wen, Yang Li, Shao Zhang, Zhiwei Xu, Dapeng Li, Ziyue Li, Rui Zhao, Lijuan Li, Guoliang Fan
2023	J	`jnl`	DRL-Based Adaptive Sharding for Blockchain-Based Federated Learning. IEEE Trans. Commun. Yijing Lin, Zhipeng Gao, Hongyang Du, Jiawen Kang, Dusit Niyato, Qian Wang, Jingqing Ruan, Shaohua Wan
2023	J	`jnl`	DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared Knowledge. CoRR Jiaming Lu, Jingqing Ruan, Haoyuan Jiang, Ziyue Li, Hangyu Mao, Rui Zhao
2023	—	`conf`	Efficient Hierarchical Reinforcement Learning via Mutual Information Constrained Subgoal Discovery. ICONIP (7) Kaishen Wang, Jingqing Ruan, Qingyang Zhang, Dengpeng Xing
2023	A*	`conf`	Explainable Reinforcement Learning via a Causal World Model. IJCAI Zhongwei Yu, Jingqing Ruan, Dengpeng Xing
2023	J	`jnl`	Explainable Reinforcement Learning via a Causal World Model. CoRR Zhongwei Yu, Jingqing Ruan, Dengpeng Xing
2023	J	`jnl`	Learning Top-k Subtask Planning Tree based on Discriminative Representation Pre-training for Decision Making. CoRR Jingqing Ruan, Kaishen Wang, Qingyang Zhang, Dengpeng Xing, Bo Xu
2023	A	`conf`	Learning to Collaborate by Grouping: A Consensus-Oriented Strategy for Multi-Agent Reinforcement Learning. ECAI Jingqing Ruan, Xiaotian Hao, Dong Li, Hangyu Mao
2023	J	`jnl`	Learning to Collaborate by Grouping: a Consensus-oriented Strategy for Multi-agent Reinforcement Learning. CoRR Jingqing Ruan, Xiaotian Hao, Dong Li, Hangyu Mao
2023	A	`conf`	M3: Modularization for Multi-task and Multi-agent Offline Pre-training. AAMAS Linghui Meng, Jingqing Ruan, Xuantang Xiong, Xiyun Li, Xi Zhang, Dengpeng Xing, Bo Xu
2023	J	`jnl`	Mixture of personality improved Spiking actor network for efficient multi-agent cooperation. CoRR Xiyun Li, Ziyi Ni, Jingqing Ruan, Linghui Meng, Jing Shi, Tielin Zhang, Bo Xu
2023	J	`jnl`	Reboost Large Language Model-based Text-to-SQL, Text-to-Python, and Text-to-Function - with Real Applications in Traffic Domain. CoRR Guanghu Sui, Zhishuai Li, Ziyue Li, Sun Yang, Jingqing Ruan, Hangyu Mao, Rui Zhao
2023	J	`jnl`	TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems. CoRR Yilun Kong, Jingqing Ruan, Yihong Chen, Bin Zhang, Tianpeng Bao, Shiwei Shi, Guoqing Du, Xiaoru Hu, Hangyu Mao, Ziyue Li, Xingyu Zeng, Rui Zhao
2023	J	`jnl`	TPTU: Task Planning and Tool Usage of Large Language Model-based AI Agents. CoRR Jingqing Ruan, Yihong Chen, Bin Zhang, Zhiwei Xu, Tianpeng Bao, Guoqing Du, Shiwei Shi, Hangyu Mao, Xingyu Zeng, Rui Zhao
2023	A	`conf`	Task-Prompt Generalised World Model in Multi-Environment Offline Reinforcement Learning. ECAI Xuantang Xiong, Linghui Meng, Jingqing Ruan, Qingyang Zhang, Guoqi Li, Dengpeng Xing, Bo Xu
2022	A	`conf`	GCS: Graph-Based Coordination Strategy for Multi-Agent Reinforcement Learning. AAMAS Jingqing Ruan, Yali Du, Xuantang Xiong, Dengpeng Xing, Xiyun Li, Linghui Meng, Haifeng Zhang, Jun Wang, Bo Xu
2022	J	`jnl`	GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning. CoRR Jingqing Ruan, Yali Du, Xuantang Xiong, Dengpeng Xing, Xiyun Li, Linghui Meng, Haifeng Zhang, Jun Wang, Bo Xu
2022	A*	`conf`	Learning Multi-Agent Action Coordination via Electing First-Move Agent. ICAPS Jingqing Ruan, Linghui Meng, Xuantang Xiong, Dengpeng Xing, Bo Xu
2022	B	`conf`	Learning in Bi-level Markov Games. IJCNN Linghui Meng, Jingqing Ruan, Dengpeng Xing, Bo Xu
2021	J	`jnl`	Promoting Coordination Through Electing First-moveAgent in Multi-Agent Reinforcement Learning. CoRR Jingqing Ruan, Linghui Meng, Bo Xu