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Focusing work for life.
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Focusing work for life.
  • OPPO Research Institute
  • Shenzhen, Guangzhou
  • 21:42 (UTC +08:00)

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lokinko/README.md

πŸ‘‹ lokinko's Research Journey



🌻 Machine Learning Algorithm Engineer at OPPO Research Institute, Shenzhen.

🌱 Master's Degree from College of Big Data and Software Engineering, Chongqing University.

πŸ€– Research Interests:

  • GUI Agents: Post-training for agentic model, multi-agent collaboration, and proactive & personalized agent.

  • Distributed Systems: Federated learning, Edge-Cloud collaboration recommendation, mobile computing.


πŸ“ˆ Publication Statistics


πŸ”¬ MobileUse: A Hierarchical Reflection-Driven GUI Agent for Autonomous Mobile Operation

Neural Information Processing Systems (NeurIPS'25) | πŸ“… September 18, 2025

πŸ‘€ Authors: Ning Li, Xiangmou Qu, Jiamu Zhou, Jun Wang, Muning Wen, Kounianhua Du, Xingyu Lou, Qiuying Peng, Jun Wang, Weinan Zhang




πŸ”¬ JCSRC: Joint Client Selection and Resource Configuration for Energy-Efficient Multi-Task Federated Learning

IEEE Transactions on Computers (TC'25) | πŸ“… August 24, 2025

πŸ‘€ Authors: Junpeng Ke, Junlong Zhou, Dan Meng, Yue Zeng, Yizhou Shi, Xiangmou Qu, Song Guo




πŸ”¬ Personalized Federated Recommendation with Multi-Faceted User Representation and Global Consistent Prototype

ACM International Conference on Information and Knowledge Management (CIKM'25) | πŸ“… August 5, 2025

πŸ‘€ Authors: Jiaming Qian, Xinting Liao, Xiangmou Qu, Zhihui Fu, Xingyu Lou, Changwang Zhang, Pengyang Zhou, Zijun Zhou, Jun Wang and Chaochao Chen




πŸ”¬ FedEcover: Fast and Stable Converging Model-Heterogeneous Federated Learning with Efficient-Coverage Submodel Extraction

IEEE International Conference on Data Engineering (ICDE'25) | πŸ“… March 26, 2025

πŸ‘€ Authors: Juntao Liang, Lan Zhang, Xiangmou Qu, Jun Wang




πŸ”¬ OLearning: A Geo-Distributed System for Device-Cloud Collaborative Computing

Database Systems for Advanced Applications (DASFAA'25, Oral, Industry track) | πŸ“… January 25, 2025

πŸ‘€ Authors: Min Fang, Zhihui Fu, Xiangmou Qu, Ruiguang Pei, Jun Wang, Lan Zhang.




πŸ”¬ FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning

AAAI Conference on Artificial Intelligence (AAAI'25, Oral) | πŸ“… December 10, 2024

πŸ‘€ Authors: Yanbing Zhou, Xiangmou Qu, Chenlong You, Jiyang Zhou, Jingyue Tang, Xin Zheng, Chunmao Cai, Yingbo Wu




πŸ”¬ Voltran: Unlocking Trust and Confidentiality in Decentralized Federated Learning Aggregation

IEEE Transactions on Information Forensics and Security (TIFS'24) | πŸ“… September 24, 2024

πŸ‘€ Authors: Hao Wang, Yichen Cai, Jun Wang, Chuan Ma, Chunpeng Ge, Xiangmou Qu, Lu Zhou


πŸ“… Recent Activities

Last updated: September 18, 2025

  • πŸš€ MobileUse Paper Accepted at NeurIPS'25 (September 18, 2025): Our work "MobileUse: A Hierarchical Reflection-Driven GUI Agent for Autonomous Mobile Operation" has been accepted at NeurIPS 2025!

  • πŸ› οΈ MobileUse Framework Development (April 1, 2025): Participated in the design and development of the mobile-use GUI Multi-Agent Framework, enabling autonomous mobile app operation through advanced agent collaboration.

🌟 Thanks for visiting my profile!


Last updated: September 10, 2025

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  1. MadeAgents/mobile-use MadeAgents/mobile-use Public

    γ€ŠMobileUse: A Hierarchical Reflection-Driven GUI Agent for Autonomous Mobile Operation》

    Python 126 6

  2. Federated-Learning Federated-Learning Public

    联邦学习

    1.1k 200