Yun Qu - RankMe

29 papers A* 8Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Can Prompt Difficulty be Online Predicted for Accelerating RL Finetuning of Reasoning Models? KDD (1) Yun Qu, Qi Wang, Yixiu Mao, Vincent Tao Hu, Björn Ommer, Xiangyang Ji
2026	J	`jnl`	Dynamics-Predictive Sampling for Active RL Finetuning of Large Reasoning Models. CoRR Yixiu Mao, Yun Qu, Qi Wang, Heming Zou, Xiangyang Ji
2026	J	`jnl`	HINT: Hierarchical Interaction Modeling for Autoregressive Multi-Human Motion Generation. CoRR Mengge Liu, Yan Di, Gu Wang, Yun Qu, Dekai Zhu, Yanyan Li, Xiangyang Ji
2026	J	`jnl`	Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models. CoRR Yun Qu, Qi Wang, Yixiu Mao, Heming Zou, Yuhang Jiang, Weijie Liu, Clive Bai, Kai Yang, Yangkun Chen, Saiyong Yang, Xiangyang Ji
2025	J	`jnl`	A Unified Multi-Task Learning Framework for Generative Auto-Bidding with Validation-Aligned Optimization. CoRR Yiqin Lv, Zhiyu Mou, Miao Xu, Jinghao Chen, Qi Wang, Yixiu Mao, Yun Qu, Rongquan Bai, Chuan Yu, Jian Xu, Bo Zheng, Xiangyang Ji
2025	J	`jnl`	Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning. CoRR Yixiu Mao, Yun Qu, Qi Wang, Xiangyang Ji
2025	J	`jnl`	Can Prompt Difficulty be Online Predicted for Accelerating RL Finetuning of Reasoning Models? CoRR Yun Qu, Qi Wang, Yixiu Mao, Vincent Tao Hu, Björn Ommer, Xiangyang Ji
2025	A*	`conf`	Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments. ICML Yun Qu, Cheems Wang, Yixiu Mao, Yiqin Lv, Xiangyang Ji
2025	J	`jnl`	Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments. CoRR Yun Qu, Qi Wang, Yixiu Mao, Yiqin Lv, Xiangyang Ji
2025	A*	`conf`	Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning. AAAI Yun Qu, Yuhang Jiang, Boyuan Wang, Yixiu Mao, Cheems Wang, Chang Liu, Xiangyang Ji
2025	—	`conf`	Lessons and Winning Solutions in Industrial Object Detection and Pose Estimation from the 2025 Bin-Picking Perception Challenge. ICCVW Ziqin Huang, Chengxi Li, Yingyue Li, Xingyu Liu, Chenyangguang Zhang, Ruida Zhang, Bowen Fu, Xinggang Hu, Yun Qu, Mengge Liu, Yixiu Mao, Wendong Huang, Gu Wang, Xiangyang Ji
2025	J	`jnl`	Model Predictive Task Sampling for Efficient and Robust Adaptation. CoRR Qi (Cheems) Wang, Zehao Xiao, Yixiu Mao, Yun Qu, Jiayi Shen, Yiqin Lv, Xiangyang Ji
2025	—	`conf`	Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation. KDD (1) Qi (Cheems) Wang, Yiqin Lv, Yixiu Mao, Yun Qu, Yi Xu, Xiangyang Ji
2025	J	`jnl`	Utility-Diversity Aware Online Batch Selection for LLM Supervised Fine-tuning. CoRR Heming Zou, Yixiu Mao, Yun Qu, Qi Wang, Xiangyang Ji
2024	J	`jnl`	A novel memetic algorithm for distributed shape formation of swarm robots with both acceleration and velocity constraints. Sci. China Inf. Sci. Yun Qu, Bin Xin, Qinqin Wang, Ruocheng Li, Zhaofeng Du
2024	J	`jnl`	Choices are More Important than Efforts: LLM Enables Efficient Multi-Agent Exploration. CoRR Yun Qu, Boyuan Wang, Yuhang Jiang, Jianzhun Shao, Yixiu Mao, Cheems Wang, Chang Liu, Xiangyang Ji
2024	A*	`conf`	Doubly Mild Generalization for Offline Reinforcement Learning. NeurIPS Yixiu Mao, Qi Wang, Yun Qu, Yuhang Jiang, Xiangyang Ji
2024	J	`jnl`	Doubly Mild Generalization for Offline Reinforcement Learning. CoRR Yixiu Mao, Qi Wang, Yun Qu, Yuhang Jiang, Xiangyang Ji
2024	J	`jnl`	Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks. CoRR Yun Qu, Boyuan Wang, Jianzhun Shao, Yuhang Jiang, Chen Chen, Zhenbin Ye, Lin Liu, Junfeng Yang, Lin Lai, Hongyang Qin, Minwen Deng, Juchao Zhuo, Deheng Ye, Qiang Fu, Wei Yang, Guang Yang, Lanxiao Huang, Xiangyang Ji
2024	A*	`conf`	LLM-Empowered State Representation for Reinforcement Learning. ICML Boyuan Wang, Yun Qu, Yuhang Jiang, Jianzhun Shao, Chang Liu, Wenming Yang, Xiangyang Ji
2024	J	`jnl`	LLM-Empowered State Representation for Reinforcement Learning. CoRR Boyuan Wang, Yun Qu, Yuhang Jiang, Jianzhun Shao, Chang Liu, Wenming Yang, Xiangyang Ji
2024	J	`jnl`	Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning. CoRR Yun Qu, Yuhang Jiang, Boyuan Wang, Yixiu Mao, Cheems Wang, Chang Liu, Xiangyang Ji
2024	A*	`conf`	Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression. NeurIPS Yixiu Mao, Qi Wang, Chen Chen, Yun Qu, Xiangyang Ji
2024	J	`jnl`	Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression. CoRR Yixiu Mao, Qi Wang, Chen Chen, Yun Qu, Xiangyang Ji
2024	J	`jnl`	Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation. CoRR Qi (Cheems) Wang, Yiqin Lv, Yixiu Mao, Yun Qu, Yi Xu, Xiangyang Ji
2023	A*	`conf`	Complementary Attention for Multi-Agent Reinforcement Learning. ICML Jianzhun Shao, Hongchang Zhang, Yun Qu, Chang Liu, Shuncheng He, Yuhang Jiang, Xiangyang Ji
2023	A*	`conf`	Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning. NeurIPS Jianzhun Shao, Yun Qu, Chen Chen, Hongchang Zhang, Xiangyang Ji
2023	J	`jnl`	Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning. CoRR Jianzhun Shao, Yun Qu, Chen Chen, Hongchang Zhang, Xiangyang Ji
2023	A*	`conf`	Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks. NeurIPS Yun Qu, Boyuan Wang, Jianzhun Shao, Yuhang Jiang, Chen Chen, Zhenbin Ye, Lin Liu, Yang Feng, Lin Lai, Hongyang Qin, Minwen Deng, Juchao Zhuo, Deheng Ye, Qiang Fu, Yang Guang, Wei Yang, Lanxiao Huang, Xiangyang Ji