All Stories

  1. EFT-LR: Benchmarking Learning Rate Policies in Parameter-Efficient Large Language Model Fine-tuning

    Article • November 2025, ACM (Association for Computing Machinery)

    Yanzhao Wu, Md Tasnim Jawad

  2. LATTICE: Efficient In-Memory DNN Model Versioning

    Article • September 2025, ACM (Association for Computing Machinery)

    Yanzhao Wu

  3. CE-CoLLM: Efficient and Adaptive Large Language Models Through Cloud-Edge Collaboration

    Article • July 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  4. NeRF-APT: A New NeRF Framework for Wireless Channel Prediction

    Article • May 2025, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  5. Security and Privacy Challenges of Large Language Models: A Survey

    Article • ACM Computing Surveys, January 2025, ACM (Association for Computing Machinery)

    Yanzhao Wu

  6. Accessible Health Screening Using Body Fat Estimation by Image Segmentation

    Article • December 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  7. Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with Momentum

    Article • October 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  8. Effective Diversity Optimizations for High Accuracy Deep Ensembles

    Article • October 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  9. On the Efficiency of Privacy Attacks in Federated Learning

    Article • June 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  10. Backdoor Attacks Against Low-Earth Orbit Satellite Fingerprinting

    Article • May 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  11. ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain

    Article • May 2024, ACM (Association for Computing Machinery)

    Yanzhao Wu

  12. Adaptive Deep Neural Network Inference Optimization with EENet

    Article • January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  13. Demystifying Data Poisoning Attacks in Distributed Learning as a Service

    Article • IEEE Transactions on Services Computing, January 2024, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  14. Individual Fairness with Group Awareness Under Uncertainty

    Article • January 2024, Springer Science + Business Media

    Yanzhao Wu

  15. Privacy Risks Analysis and Mitigation in Federated Learning for Medical Images

    Article • December 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  16. Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness

    Article • December 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  17. Model Cloaking against Gradient Leakage

    Article • December 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  18. Hierarchical Pruning of Deep Ensembles with Focal Diversity

    Article • ACM Transactions on Intelligent Systems and Technology, November 2023, ACM (Association for Computing Machinery)

    Yanzhao Wu

  19. Amplifying Object Tracking Performance on Edge Devices

    Article • November 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  20. Rethinking Learning Rate Tuning in the Era of Large Language Models

    Article • November 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  21. Invisible Watermarking for Audio Generation Diffusion Models

    Article • November 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  22. Securing Distributed SGD Against Gradient Leakage Threats

    Article • IEEE Transactions on Parallel and Distributed Systems, July 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  23. STDLens: Model Hijacking-Resilient Federated Learning for Object Detection

    Article • June 2023, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  24. Selecting and Composing Learning Rate Policies for Deep Neural Networks

    Article • ACM Transactions on Intelligent Systems and Technology, November 2022, ACM (Association for Computing Machinery)

    Yanzhao Wu

  25. Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service

    Article • IEEE Transactions on Services Computing, November 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  26. Learning Text-image Joint Embedding for Efficient Cross-modal Retrieval with Deep Feature Engineering

    Article • ACM Transactions on Information Systems, October 2022, ACM (Association for Computing Machinery)

    Shengqiong Yuan, Yanzhao Wu

  27. A Comparative Measurement Study of Deep Learning as a Service Framework

    Article • IEEE Transactions on Services Computing, January 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  28. Transparent Network Memory Storage for Efficient Container Execution in Big Data Clouds

    Article • December 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  29. Boosting Deep Ensemble Performance with Hierarchical Pruning

    Article • December 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  30. Parallel Detection for Efficient Video Analytics at the Edge

    Article • December 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  31. RDMAbox: Optimizing RDMA for Memory Intensive Workload

    Article • December 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  32. Gradient-Leakage Resilient Federated Learning

    Article • July 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  33. Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics

    Article • June 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  34. Memory Abstraction and Optimization for Distributed Executors

    Article • December 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  35. Adversarial Deception in Deep Learning: Analysis and Mitigation

    Article • October 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  36. Adversarial Objectness Gradient Attacks in Real-time Object Detection Systems

    Article • October 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  37. Cross-Modal Joint Embedding with Diverse Semantics

    Article • October 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  38. Promoting High Diversity Ensemble Learning with EnsembleBench

    Article • October 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  39. Efficient Orchestration of Host and Remote Shared Memory for Memory Intensive Workloads

    Article • September 2020, ACM (Association for Computing Machinery)

    Yanzhao Wu, Juhyun Bae

  40. Cross-Layer Strategic Ensemble Defense Against Adversarial Examples

    Article • February 2020, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  41. A Framework for Evaluating Client Privacy Leakages in Federated Learning

    Article • January 2020, Springer Science + Business Media

    Yanzhao Wu

  42. Understanding Object Detection Through an Adversarial Lens

    Article • January 2020, Springer Science + Business Media

    Yanzhao Wu

  43. Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks

    Article • December 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  44. Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks

    Article • December 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  45. Deep Neural Network Ensembles Against Deception: Ensemble Diversity, Accuracy and Robustness

    Article • November 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  46. Memory Disaggregation: Research Problems and Opportunities

    Article • July 2019, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  47. Experimental Characterizations and Analysis of Deep Learning Frameworks

    Article • December 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  48. Benchmarking Deep Learning Frameworks: Design Considerations, Metrics and Beyond

    Article • July 2018, Institute of Electrical & Electronics Engineers (IEEE)

    Yanzhao Wu

  49. CCAligner

    Article • May 2018, ACM (Association for Computing Machinery)

    Yanzhao Wu