Selected Publications Google Scholar

Research line

Memory, Privacy and Cost in Distributed Systems

from the datacentre to the device

Privacy Preservation

Keeping user data, models and locations private once computation leaves the cloud.

Privacy in Learning Systems

  1. NeurIPS'26
    TRACE: Data-Free Text Reconstruction Attacks against Approximate Unlearning in LLMs

    Mengying Zhang, Derui Wang, Ibrahim Khalil, Bowen Liu, Xiaoyu Xia*, Minhui Xue

    Conference on Neural Information Processing Systems, 2026.

Location and Trajectory Privacy

Resilience Enhancement

Keeping edge services and edge AI dependable under failure, uncertainty and attack.

Robust and Efficient AI Serving

  1. TMC'26
    Accelerating Hierarchical Federated Learning under Mobility via Model Migration in Cloud-Edge-End Collaborative Networks

    Jian Tang, Xiaoyu Xia*, Ibrahim Khalil, Mengsha Kou, Minghui Liwang, Jer Shyuan Ng, Xiuhua Li, Xianbin Wang

    IEEE Transactions on Mobile Computing, 2026.

Reliable Scheduling and Secure Sharing

System Optimization

Placing data and allocating resources efficiently across the cloud–edge continuum.

Sustainable Edge Computing

Collaborative Data and Resource Management

Surveys and Broader Interests

  1. NeurIPS'26
    FreDRec: Frequency-Decoupled Knowledge Distillation for Multimodal Recommendation in Missing Modalities Scenarios

    Qixian Chen, Xiaolong Xu, Haolong Xiang, Kun Yi, Xiaoyu Xia, Lianyong Qi, Wei Fan

    Conference on Neural Information Processing Systems, 2026.

  2. NeurIPS'26
    VAMIRec: Value-Aware Memory Intervention for Continual Recommendation

    Xudong Zhao, Xiaolong Xu, Haolong Xiang, Xiaoyu Xia, Jiaqiang Zhang, Xuyun Zhang, Lianyong Qi, Wanchun Dou, Amin Beheshti

    Conference on Neural Information Processing Systems, 2026.