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Ping Wang — most-cited papers & profile · Large Language Models
← authors
·
overview
Ping Wang
34
papers ·
128
citations ·
29
h-index
Zhejiang Normal University · University of Technology Malaysia
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
A Deep Reinforcement Learning-Based Caching Strategy for IoT Networks with Transient Data
2022 · 26 citations
Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
2018 · 17 citations
Towards Strengthening Deep Learning-based Side Channel Attacks with Mixup
2021 · 14 citations
Node Selection Toward Faster Convergence for Federated Learning on Non-IID Data
2021 · 14 citations
Multiobjective Vehicle Routing Optimization with Time Windows: A Hybrid Approach Using Deep Reinforcement Learning and NSGA-II
2024 · 13 citations
Joint Service Pricing and Cooperative Relay Communication for Federated Learning
2018 · 9 citations
Enhancing the Performance of Practical Profiling Side-Channel Attacks Using Conditional Generative Adversarial Networks
2020 · 9 citations
Fast-Convergent Federated Learning with Adaptive Weighting
2020 · 8 citations
Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks
2020 · 5 citations
Over-the-Air FEEL with Integrated Sensing: Joint Scheduling and Beamforming Design
2025 · 2 citations
Adversarial Attack Based Countermeasures against Deep Learning Side-Channel Attacks
2020 · 2 citations
Straggler-resilient Federated Learning: Tackling Computation Heterogeneity with Layer-wise Partial Model Training in Mobile Edge Network
2023 · 2 citations
The Dark Side of Function Calling: Pathways to Jailbreaking Large Language Models
2024 · 2 citations
Boundary-aware Information Maximization for Self-supervised Medical Image Segmentation
2022 · 1 citations
Multiobjective Hydropower Reservoir Operation Optimization with Transformer-Based Deep Reinforcement Learning
2023 · 1 citations
Topics
Federated Learning
Image Generation
Network Security
Adversarial ML
Segmentation
Communication
Manipulation
Control
Image Restoration
Value-Based