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2020 – today
- 2024
[c14]Pengdeng Li, Runsheng Yu, Xinrun Wang, Bo An:
Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games. AAAI 2024: 17469-17476- [c13]Runsheng Yu, Youzhi Zhang, James T. Kwok:
Improving Sharpness-Aware Minimization by Lookahead. ICML 2024 - [c12]Changyi Ma
, Runsheng Yu, Youzhi Zhang:
A Fast Similarity Matrix Calibration Method with Incomplete Query. WWW 2024: 1419-1430 - [i11]Runsheng Yu, Yong Wang, Xiaoqi Jiao, Youzhi Zhang, James T. Kwok:
Direct Alignment of Language Models via Quality-Aware Self-Refinement. CoRR abs/2405.21040 (2024) - [i10]Yeyong Yu, Runsheng Yu, Haojie Wei, Zhanqiu Zhang, Quan Qian:
BEYOND DIALOGUE: A Profile-Dialogue Alignment Framework Towards General Role-Playing Language Model. CoRR abs/2408.10903 (2024) - [i9]Changyi Ma, Runsheng Yu, Xiao Chen, Youzhi Zhang:
Tailed Low-Rank Matrix Factorization for Similarity Matrix Completion. CoRR abs/2409.19550 (2024) - 2023
- [c11]Runsheng Yu, Weiyu Chen, Xinrun Wang, James T. Kwok:
Enhancing Meta Learning via Multi-Objective Soft Improvement Functions. ICLR 2023 - 2022
- [j2]Renchi Zhang, Runsheng Yu, Wei Xia:
Constraint-aware Policy Optimization to Solve the Vehicle Routing Problem with Time Windows. Inf. Technol. Control. 51(1): 126-138 (2022) - [c10]Wenyu Liu, Gaofeng Ren, Runsheng Yu, Shi Guo, Jianke Zhu, Lei Zhang:
Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions. AAAI 2022: 1792-1800 - [c9]Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li:
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks. CVPR 2022: 11265-11274 - 2021
- [c8]Runsheng Yu, Yu Gong, Xu He, Yu Zhu, Qingwen Liu, Wenwu Ou, Bo An:
Personalized Adaptive Meta Learning for Cold-start User Preference Prediction. AAAI 2021: 10772-10780 - [c7]Yanchen Deng, Runsheng Yu, Xinrun Wang, Bo An:
Neural Regret-Matching for Distributed Constraint Optimization Problems. IJCAI 2021: 146-153 - [c6]Wei Qiu, Xinrun Wang, Runsheng Yu, Rundong Wang, Xu He, Bo An, Svetlana Obraztsova, Zinovi Rabinovich:
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents. NeurIPS 2021: 23049-23062 - [i8]Wei Qiu, Xinrun Wang, Runsheng Yu, Xu He, Rundong Wang, Bo An, Svetlana Obraztsova, Zinovi Rabinovich:
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents. CoRR abs/2102.08159 (2021) - [i7]Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li:
DO-GAN: A Double Oracle Framework for Generative Adversarial Networks. CoRR abs/2102.08577 (2021) - [i6]Wenyu Liu, Gaofeng Ren, Runsheng Yu, Shi Guo, Jianke Zhu, Lei Zhang:
Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions. CoRR abs/2112.08088 (2021) - 2020
- [c5]Zhenyu Shi, Runsheng Yu, Xinrun Wang, Rundong Wang, Youzhi Zhang, Hanjiang Lai, Bo An:
Learning Expensive Coordination: An Event-Based Deep RL Approach. ICLR 2020 - [c4]Rundong Wang, Xu He, Runsheng Yu, Wei Qiu, Bo An, Zinovi Rabinovich:
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach. ICML 2020: 9908-9918 - [c3]Rundong Wang, Runsheng Yu, Bo An, Zinovi Rabinovich:
I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning. IJCAI 2020: 3131-3138 - [c2]Xu He, Bo An, Yanghua Li, Haikai Chen, Rundong Wang, Xinrun Wang, Runsheng Yu, Xin Li, Zhirong Wang:
Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication. RecSys 2020: 210-219 - [i5]Xu He, Bo An, Yanghua Li, Haikai Chen, Rundong Wang, Xinrun Wang, Runsheng Yu, Xin Li, Zhirong Wang:
Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication. CoRR abs/2008.09369 (2020) - [i4]Runsheng Yu, Yu Gong, Xu He, Bo An, Yu Zhu, Qingwen Liu, Wenwu Ou:
Personalized Adaptive Meta Learning for Cold-start User Preference Prediction. CoRR abs/2012.11842 (2020)
2010 – 2019
- 2019
- [i3]Rundong Wang, Xu He, Runsheng Yu, Wei Qiu, Bo An, Zinovi Rabinovich:
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach. CoRR abs/1911.06992 (2019) - [i2]Runsheng Yu, Zhenyu Shi, Xinrun Wang, Rundong Wang, Buhong Liu, Xinwen Hou, Hanjiang Lai, Bo An:
Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning. CoRR abs/1911.07712 (2019) - 2018
- [j1]Zhoujian Xiao, Yuwei Zhang, Runsheng Yu, Yin Chen, Xiaosen Jiang, Ziwei Wang, Shuaicheng Li:
In silico design of MHC class I high binding affinity peptides through motifs activation map. BMC Bioinform. 19-S(19): 13-24 (2018) - [c1]Runsheng Yu, Wenyu Liu, Yasen Zhang, Zhi Qu, Deli Zhao, Bo Zhang:
DeepExposure: Learning to Expose Photos with Asynchronously Reinforced Adversarial Learning. NeurIPS 2018: 2153-2163 - 2017
- [i1]Runsheng Yu, Zhenyu Shi, Laiyun Qing:
Unsupervised Learning aids Prediction: Using Future Representation Learning Variantial Autoencoder for Human Action Prediction. CoRR abs/1711.09265 (2017)
Coauthor Index
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