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Lei Yang

Associate Professor, Computer Science and Engineering

Open to new collaborations

Research interests

Dr. Yang's current research interests include: Big data analytics Stochastic optimization and modeling in smart cities and cyber-physical systems Data privacy and security in crowdsensing Optimization and control in mobile social networks

Recent publications

The ten most recent from their Google Scholar profile, newest first.

  1. SOLAR: Communication-Efficient Model Adaptation via Subspace-Oriented Latent Adapter Reparametrization

    S Mahmoud Sajjadi Mohammadabadi, X Ma, L Yang, F Yan, J Zhang. arXiv e-prints, arXiv: 2604.08368 , 2026. 2026

  2. A survey on self-supervised learning: Recent advances and open problems

    J Zhang, L Yang, SMS Mohammadabadi, F Yan. Neurocomputing, 131409 , 2025. 2025

    35 citations

  3. Optimizing stand-alone PV systems: A metaheuristic-enhanced fuzzy approach for adaptive MPPT

    T Samavat, M Nazari, L Fuhong, L Yang. China Communications 22 (1), 61-74 , 2025. 2025

    20 citations

  4. FedCust: Offloading hyperparameter customization for federated learning

    S Zawad, X Ma, J Yi, C Li, M Zhang, L Yang, F Yan, Y He. Performance Evaluation 167, 102450 , 2025. 2025

    18 citations

  5. Enabling scalable and adaptive machine learning training via serverless computing on public cloud

    A Ali, X Ma, S Zawad, P Aditya, IE Akkus, R Chen, L Yang, F Yan. Performance Evaluation 167, 102451 , 2025. 2025

    17 citations

  6. AoI-delay tradeoff in mobile edge caching: A Lyapunov optimization-based method

    R Li, C Huang, X Qin, Z Fu, L Yang, D Yang. IEEE Internet of Things Journal 12 (11), 16266-16281 , 2025. 2025

    10 citations

  7. Adversarial Robustness for Deep Learning-Based Wildfire Prediction Models

    R Ide, L Yang. Fire 8 (2), 50 , 2025. 2025

    3 citations

  8. Early-stage wildfire detection: a weakly supervised transformer-based approach

    T Samavat, A Yazdi, F Yan, L Yang. Fire 8 (11), 413 , 2025. 2025

    2 citations

  9. Cryptocurrency Price Forecasting: Insights from Deep Learning and Volatility Analysis

    R Manouchehri, A Meepaganithage, S Dascalu, M Nicolescu, .... International Conference on Information Technology-New Generations, 327-338 , 2025. 2025

    1 citation

  10. Automatic Labeling of Real-World PMU Data: A Weakly Supervised Learning Approach

    Y Liu, L Yang, J Zhang. Electronics 14 (23), 4703 , 2025. 2025

    1 citation

All publications on Google Scholar