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2020 – today
- 2026
[j6]Shangfei Zheng, Yancheng Zhu, Yuchao Zhang, Xiaotong Nie, Jian Hou:
Multi-hop reasoning with fine-grained entity representations and LLM-augmented actions over few-shot knowledge graphs. Knowl. Inf. Syst. 68(1): 86 (2026)- 2025
- [j5]Shangfei Zheng
, Xiaotong Nie, Wei Yuan, Liang Qu, Xiangjie Kong, Yuchao Zhang, Jian Hou:
Context-aware adaptive reinforcement learning for multi-hop knowledge graph reasoning in few-shot scenarios. Knowl. Based Syst. 331: 114799 (2025) - [c3]Jian Hou, Congcong Yang, Qiaosha Zou, Junkai Chen, Xiaotong Nie:
Optimization of IoUT Systems: A Hierarchical Federated Transfer Learning Approach Based on UAV Computation Offloading. ICIC (4) 2025: 152-163 - 2024
- [c2]Lilan Lin, Xiaotong Nie, Jian Hou:
Robust Multi-Agent Reinforcement Learning for Autonomous Vehicle in Noisy Highway Environments. ACML 2024: 1320-1335 - 2023
- [j4]Xiaotong Nie, Yupeng Liang, Ziyao Han, Kazuhiro Ohkura:
Generating collective wall-jumping behavior for a robotic swarm with self-teaching automatic curriculum learning. Artif. Life Robotics 28(1): 67-75 (2023) - [j3]Xiaotong Nie, Yupeng Liang, Kazuhiro Ohkura:
Autonomous highway driving using reinforcement learning with safety check system based on time-to-collision. Artif. Life Robotics 28(1): 158-165 (2023) - 2022
- [j2]Yupeng Liang, Ziyao Han, Xiaotong Nie, Kazuhiro Ohkura:
Improving generative adversarial network with multiple generators by evolutionary algorithms. Artif. Life Robotics 27(4): 761-769 (2022)
2010 – 2019
- 2019
- [j1]Yufei Wei, Xiaotong Nie, Motoaki Hiraga, Kazuhiro Ohkura, Zlatan Car:
Developing End-to-End Control Policies for Robotic Swarms Using Deep Q-learning. J. Adv. Comput. Intell. Intell. Informatics 23(5): 920-927 (2019) - [c1]Xiaotong Nie, Motoaki Hiraga, Kazuhiro Ohkura:
Visualizing Deep Q-Learning to Understanding Behavior of Swarm Robotic System. IES 2019: 118-129
Coauthor Index
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