Yixiu Mao - RankMe

27 papers A* 8Journal 16Unranked 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`	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	J	`jnl`	Enhancing Generative Auto-bidding with Offline Reward Evaluation and Policy Search. CoRR Zhiyu Mou, Yiqin Lv, Miao Xu, Qi Wang, Yixiu Mao, Qichen Ye, Chao Li, Rongquan Bai, Chuan Yu, Jian Xu, Bo Zheng
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`	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`	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`	In-sample Actor Critic for Offline Reinforcement Learning. ICLR Hongchang Zhang, Yixiu Mao, Boyuan Wang, Shuncheng He, Yi Xu, Xiangyang Ji
2023	A*	`conf`	Supported Trust Region Optimization for Offline Reinforcement Learning. ICML Yixiu Mao, Hongchang Zhang, Chen Chen, Yi Xu, Xiangyang Ji
2023	J	`jnl`	Supported Trust Region Optimization for Offline Reinforcement Learning. CoRR Yixiu Mao, Hongchang Zhang, Chen Chen, Yi Xu, Xiangyang Ji
2023	A*	`conf`	Supported Value Regularization for Offline Reinforcement Learning. NeurIPS Yixiu Mao, Hongchang Zhang, Chen Chen, Yi Xu, Xiangyang Ji
2021	A*	`conf`	A Hypergradient Approach to Robust Regression without Correspondence. ICLR Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha
2020	J	`jnl`	A Hypergradient Approach to Robust Regression without Correspondence. CoRR Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha