Xiaotong Nie

According to our database, Xiaotong Nie authored at least 9 papers between 2019 and 2026.

Collaborative distances:

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

2026

Multi-hop reasoning with fine-grained entity representations and LLM-augmented actions over few-shot knowledge graphs.

Shangfei Zheng, Yancheng Zhu, Yuchao Zhang, Xiaotong Nie, Jian Hou

Knowl. Inf. Syst., December, 2026

2025

Context-aware adaptive reinforcement learning for multi-hop knowledge graph reasoning in few-shot scenarios.

Shangfei Zheng, Xiaotong Nie, Wei Yuan, Liang Qu, Xiangjie Kong, Yuchao Zhang, Jian Hou

Knowl. Based Syst., 2025

Optimization of IoUT Systems: A Hierarchical Federated Transfer Learning Approach Based on UAV Computation Offloading.

Jian Hou, Congcong Yang, Qiaosha Zou, Junkai Chen, Xiaotong Nie

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024

Robust Multi-Agent Reinforcement Learning for Autonomous Vehicle in Noisy Highway Environments.

Lilan Lin, Xiaotong Nie, Jian Hou

Proceedings of the Asian Conference on Machine Learning, 2024

2023

Autonomous highway driving using reinforcement learning with safety check system based on time-to-collision.

Xiaotong Nie, Yupeng Liang, Kazuhiro Ohkura

Artif. Life Robotics, February, 2023

Generating collective wall-jumping behavior for a robotic swarm with self-teaching automatic curriculum learning.

Xiaotong Nie, Yupeng Liang, Ziyao Han, Kazuhiro Ohkura

Artif. Life Robotics, February, 2023

2022

Improving generative adversarial network with multiple generators by evolutionary algorithms.

Yupeng Liang, Ziyao Han, Xiaotong Nie, Kazuhiro Ohkura

Artif. Life Robotics, 2022

2019

Developing End-to-End Control Policies for Robotic Swarms Using Deep Q-learning.

Yufei Wei, Xiaotong Nie, Motoaki Hiraga, Kazuhiro Ohkura, Zlatan Car

J. Adv. Comput. Intell. Intell. Informatics, 2019

Visualizing Deep Q-Learning to Understanding Behavior of Swarm Robotic System.

Xiaotong Nie, Motoaki Hiraga, Kazuhiro Ohkura

Proceedings of the 23rd Asia Pacific Symposium on Intelligent and Evolutionary Systems, 2019