| 2026 | ACL | Reasoning as Gradient: Scaling MLE Agents Beyond Tree Search. | Yifei Zhang, Xu Yang, Xiao Yang, Bowen Xian, Qizheng Li, Shikai Fang, Jingyuan Li, Jian Wang, Minrui Xu, Yuge Zhang, Weiqing Liu, Jiang Bian |
| 2026 | ICAART | Improving Credit Card Transaction Fraud Detection Using CVQBoosting. | Bethel Hui Ting Loke, Nirvik Sahoo, Bingyan Guan, Minrui Xu, Dev Verma, Paul Robert Griffin |
| 2025 | ACL | ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting. | Rui Pan, Dylan Zhang, Hanning Zhang, Xingyuan Pan, Minrui Xu, Jipeng Zhang, Renjie Pi, Xiaoyu Wang, Tong Zhang |
| 2025 | GLOBECOM | Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading. | Minrui Xu, Dusit Niyato, Christopher G. Brinton |
| 2025 | GLOBECOM | Trust-Based Dynamic Node Security Monitoring: HMM-Driven Malicious Node Detection in Underwater Acoustic Sensor Networks. | Luxing Zhang, Jun Du, Xiangwang Hou, Wei Men, Minrui Xu, Yong Ren |
| 2024 | EMNLP | FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation. | KaShun Shum, Minrui Xu, Jianshu Zhang, Zixin Chen, Shizhe Diao, Hanze Dong, Jipeng Zhang, Muhammad Omer Raza |
| 2024 | GLOBECOM | High-quality Trajectory Generation for Autonomous Driving: A Lightweight Federated Learning-based Diffusion Model. | Runquan Gao, Jiawen Kang, Bingkun Lai, Minrui Xu, Geng Sun, Tao Zhang, Weiting Zhang, Dong Yang |
| 2024 | GLOBECOM | Diffusion-based Reinforcement Learning for Dynamic UAV-assisted Vehicle Twins Migration in Vehicular Metaverses. | Yongju Tong, Jiawen Kang, Junlong Chen, Minrui Xu, Gaolei Li, Weiting Zhang, Xincheng Yan |
| 2024 | UIST | DiscipLink: Unfolding Interdisciplinary Information Seeking Process via Human-AI Co-Exploration. | Chengbo Zheng, Yuanhao Zhang, Zeyu Huang, Chuhan Shi, Minrui Xu, Xiaojuan Ma |
| 2023 | GLOBECOM | Joint Foundation Model Caching and Inference of Generative AI Services for Edge Intelligence. | Minrui Xu, Dusit Niyato, Hongliang Zhang, Jiawen Kang, Zehui Xiong, Shiwen Mao, Zhu Han |
| 2023 | GLOBECOM | Sustainable AIGC Workload Scheduling of Geo-Distributed Data Centers: A Multi-Agent Reinforcement Learning Approach. | Siyue Zhang, Minrui Xu, Wei Yang Bryan Lim, Dusit Niyato |
| 2023 | ICDCS | Learning-based Incentive Mechanism for Task Freshness-aware Vehicular Twin Migration. | Junhong Zhang, Jiangtian Nie, Jinbo Wen, Jiawen Kang, Minrui Xu, Xiaofeng Luo, Dusit Niyato |
| 2023 | NOMS | Stochastic Qubit Resource Allocation for Quantum Cloud Computing. | Rakpong Kaewpuang, Minrui Xu, Dusit Niyato, Han Yu, Zehui Xiong, Jiawen Kang |
| 2023 | VTC | A Learning-based Incentive Mechanism for Mobile AIGC Service in Decentralized Internet of Vehicles. | Jiani Fan, Minrui Xu, Ziyao Liu, Huanyi Ye, Chaojie Gu, Dusit Niyato, Kwok-Yan Lam |
| 2023 | VTC | Smart Healthcare with Hybrid Mobile Edge-Quantum Computing: Dynamic Computation Offloading for Latency Improvement. | Ziqiang Ye, Yulan Gao, Yue Xiao, Minrui Xu, Han Yu, Dusit Niyato |
| 2023 | WWW | Multiple-Agent Deep Reinforcement Learning for Avatar Migration in Vehicular Metaverses. | Junlong Chen, Jiangtian Nie, Minrui Xu, Lingjuan Lyu, Zehui Xiong, Jiawen Kang, Yongju Tong, Wenchao Jiang |
| 2022 | GLOBECOM | Performance Analysis of Jammer-Aided Covert RIS-NOMA Systems. | Yanyu Cheng, Jianyuan Lu, Dusit Niyato, Biao Lyu, Minrui Xu, Shunmin Zhu |
| 2022 | GLOBECOM | Stochastic Resource Allocation in Quantum Key Distribution for Secure Federated Learning. | Minrui Xu, Wei Chong Ng, Dusit Niyato, Han Yu, Chunyan Miao, Dong In Kim, Xuemin Sherman Shen |