Yun Qu

According to our database, Yun Qu authored at least 22 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Listwise Policy Optimization: Group-based RLVR as Target-Projection on the LLM Response Simplex.

Yun Qu, Qi Wang, Yixiu Mao, Heming Zou, Yuhang Jiang, Yingyue Li, Wutong Xu, Lizhou Cai, Weijie Liu, Clive Bai, Kai Yang, Yangkun Chen, Saiyong Yang, Xiangyang Ji

CoRR, May, 2026

Dynamics-Predictive Sampling for Active RL Finetuning of Large Reasoning Models.

Yixiu Mao, Yun Qu, Qi Wang, Heming Zou, Xiangyang Ji

CoRR, March, 2026

Small Generalizable Prompt Predictive Models Can Steer Efficient RL Post-Training of Large Reasoning Models.

Yun Qu, Qi Wang, Yixiu Mao, Heming Zou, Yuhang Jiang, Weijie Liu, Clive Bai, Kai Yang, Yangkun Chen, Saiyong Yang, Xiangyang Ji

CoRR, February, 2026

HINT: Hierarchical Interaction Modeling for Autoregressive Multi-Human Motion Generation.

Mengge Liu, Yan Di, Gu Wang, Yun Qu, Dekai Zhu, Yanyan Li, Xiangyang Ji

CoRR, January, 2026

Can Prompt Difficulty be Online Predicted for Accelerating RL Finetuning of Reasoning Models?

Yun Qu, Qi Wang, Yixiu Mao, Vincent Tao Hu, Björn Ommer, Xiangyang Ji

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Adaptive Neighborhood-Constrained Q Learning for Offline Reinforcement Learning.

Yixiu Mao, Yun Qu, Qi Wang, Xiangyang Ji

CoRR, November, 2025

Utility-Diversity Aware Online Batch Selection for LLM Supervised Fine-tuning.

Heming Zou, Yixiu Mao, Yun Qu, Qi Wang, Xiangyang Ji

CoRR, October, 2025

A Unified Multi-Task Learning Framework for Generative Auto-Bidding with Validation-Aligned Optimization.

Yiqin Lv, Zhiyu Mou, Miao Xu, Jinghao Chen, Qi Wang, Yixiu Mao, Yun Qu, Rongquan Bai, Chuan Yu, Jian Xu, Bo Zheng, Xiangyang Ji

CoRR, October, 2025

Model Predictive Task Sampling for Efficient and Robust Adaptation.

Qi (Cheems) Wang, Zehao Xiao, Yixiu Mao, Yun Qu, Jiayi Shen, Yiqin Lv, Xiangyang Ji

CoRR, January, 2025

Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation.

Qi (Cheems) Wang, Yiqin Lv, Yixiu Mao, Yun Qu, Yi Xu, Xiangyang Ji

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments.

Yun Qu, Cheems Wang, Yixiu Mao, Yiqin Lv, Xiangyang Ji

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Lessons and Winning Solutions in Industrial Object Detection and Pose Estimation from the 2025 Bin-Picking Perception Challenge.

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning.

Yun Qu, Yuhang Jiang, Boyuan Wang, Yixiu Mao, Cheems Wang, Chang Liu, Xiangyang Ji

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Choices are More Important than Efforts: LLM Enables Efficient Multi-Agent Exploration.

Yun Qu, Boyuan Wang, Yuhang Jiang, Jianzhun Shao, Yixiu Mao, Cheems Wang, Chang Liu, Xiangyang Ji

CoRR, 2024

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks.

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

CoRR, 2024

A novel memetic algorithm for distributed shape formation of swarm robots with both acceleration and velocity constraints.

Yun Qu, Bin Xin, Qinqin Wang, Ruocheng Li, Zhaofeng Du

Sci. China Inf. Sci., 2024

Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression.

Yixiu Mao, Qi Wang, Chen Chen, Yun Qu, Xiangyang Ji

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Doubly Mild Generalization for Offline Reinforcement Learning.

Yixiu Mao, Qi Wang, Yun Qu, Yuhang Jiang, Xiangyang Ji

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

LLM-Empowered State Representation for Reinforcement Learning.

Boyuan Wang, Yun Qu, Yuhang Jiang, Jianzhun Shao, Chang Liu, Wenming Yang, Xiangyang Ji

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Counterfactual Conservative Q Learning for Offline Multi-agent Reinforcement Learning.

Jianzhun Shao, Yun Qu, Chen Chen, Hongchang Zhang, Xiangyang Ji

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Complementary Attention for Multi-Agent Reinforcement Learning.

Jianzhun Shao, Hongchang Zhang, Yun Qu, Chang Liu, Shuncheng He, Yuhang Jiang, Xiangyang Ji

Proceedings of the International Conference on Machine Learning, 2023