JP
Jiaming Pei
The University of Sydney, Southwestern University of Finance and Economics
Research areas: Computer Science · Artificial Intelligence · Privacy-Preserving Technologies in Data · Domain Adaptation and Few-Shot Learning · Advanced Neural Network Applications
0000-0003-2774-0511
Employment
Education
- 2022 - Present
-
Southwestern University of Finance and Economics Visiting Scholar2021 - 2022
Projects & Funding
-
Innovation and Entrepreneurship Training Program for College Students in Jiangsu Province Taizhou University2019 - 2022
Publications (78)
- A strict safety-guaranteed agentic decision framework for safety-critical industrial systems Save
- PAM: Improve the Performance of Randomized Online Algorithms With Machine-Learned Predictions in Online Energy Management Save
- Explainable federated clustering via visual embedding and boundary interpretation Save
- AirSpy: An Air-Pinch Keystroke Inference Attack on Virtual Keyboards in VR Systems Save
- Intent-Based Multi-Agent Allocation With Nature-Inspired Online Algorithm Save
- Digital Twin-Oriented Integrated Terrestrial and Nonterrestrial Networks: New Perspectives, Challenges, and Enabling Technologies Save
- Latency-Aware Metaverse Rendering in Vehicular Edge Networks: A Secrecy-Oriented Resource Allocation Approach Save
- Adaptive Multi-Scale Window Segmentation and Attention Interaction Transformer for Intrusion Detection in Industrial Internet of Things Save
- FL Meets LLM: A Hybrid Security Framework for the Internet of Energy Save
- A Causal Security Management Framework for Autonomous Industrial IoT Systems with Counterfactual Diagnosis and Minimal Intervention Save
- A Multi-Stage Neuro-Symbolic Framework for Trustworthy Agentic Intelligence in ICE Systems Save
- Adaptive Federated Learning for Future IoV-Oriented IoT End-to-End Network Planning Save
- CSIF-CD: A Unified Cross-Stage Interactive Feedback Framework for Remote Sensing Image Change Detection Save
- Communication-Efficient Federated Learning via Dynamic Sparsity: An Adaptive Pruning Ratio Based on Weight Importance Save
- Distributed Large Models Training Optimization With Real-Time Wireless Channel Feedback Save
- Edge Intelligence-Driven Low-Altitude IoT via Digital Twin: Requirements, Challenges and Solutions Save
- Efficient Foundation Model Adaptation for Hyperspectral Image Classification Under Label Scarce Conditions Save
- Few-Shot Mars HSI Classification via Self-Supervised Learning Save
- Generative AI-Native Edge Sensors: Collaborative Data Reconstruction via Lightweight Federated Learning Save
- Intent-Based Network in Online Resource Allocation With Machine-Learned Prediction Save