Yinsong WangIndustrial Engineering · Nevada

Publications

Selected scholarship and technical work.

My publications span adaptive estimation, efficient kernel methods, multimodal learning, autonomous systems, and theory for incomplete data.

Google Scholar Full CV

Journal articles

  1. Mutual Information Surprise: Rethinking Unexpectedness in Autonomous Systems

    Yinsong Wang, Quan Zeng, Xiao Liu, Yu Ding

    INFORMS Journal on Data Science, 2026.

    Featured project

  2. TAP: The Attention Patch for Cross-Modal Knowledge Transfer from Unlabeled Data

    Yinsong Wang, Shahin Shahrampour

    Transactions on Machine Learning Research, 2024.

  3. TAKDE: Temporal Adaptive Kernel Density Estimator for Real-Time Dynamic Density Estimation

    Yinsong Wang, Yu Ding, Shahin Shahrampour

    IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(11), 13831–13843, 2023.

    Featured project

  4. Learning from Non-IID Data in Hilbert Spaces: An Optimal Recovery Perspective

    Simon Foucart, Chunyang Liao, Shahin Shahrampour, Yinsong Wang · alphabetical order

    Sampling Theory, Signal Processing, and Data Analysis, 20(1), 5, 2022.

  5. ORCCA: Optimal Randomized Canonical Correlation Analysis

    Yinsong Wang, Shahin Shahrampour

    IEEE Transactions on Neural Networks and Learning Systems, 34(8), 5024–5036, 2021.

    Featured project

  6. Classification of Officers’ Driving Situations Based on Eye-Tracking and Driver Performance Measures

    Maryam Zahabi, Yinsong Wang, Shahin Shahrampour

    IEEE Transactions on Human-Machine Systems, 51(4), 394–402, 2021.

Preprints

  1. Theoretical Analysis of Measure Consistency Regularization for Partially Observed Data

    Yinsong Wang, Shahin Shahrampour

    arXiv preprint, 2026.

    Featured project

Conference papers

  1. Estimating Traffic Density Using Transformer Decoders

    Yinsong Wang, Jing Zhang, Daniel Nikovski, Takuro Kojima

    4th International Workshop on Statistical Methods and Artificial Intelligence, 2024.

  2. Tracking Dynamic Gaussian Density with a Theoretically Optimal Sliding Window Approach

    Yinsong Wang, Yu Ding, Shahin Shahrampour

    4th International Conference on Dynamic Data Driven Applications Systems, 2022.

  3. Cell Association via Boundary Detection: A Scalable Approach Based on Data-Driven Random Features

    Yinsong Wang, Hessam Mahdavifar, Kamran Entesari, Shahin Shahrampour

    54th Asilomar Conference on Signals, Systems, and Computers, 2020.

  4. Distributed Parameter Estimation in Randomized One-Hidden-Layer Neural Networks

    Yinsong Wang, Shahin Shahrampour

    American Control Conference, 2020.

Patents

  1. System and Method for Estimating a Future Traffic Density in an Environment

    Jing Zhang, Yinsong Wang, Daniel Nikovski

    U.S. Patent Application US20240304081A1.

  2. System and Method for Estimating a Future Traffic Density in an Environment

    Jing Zhang, Yinsong Wang, Daniel Nikovski

    European Patent Application EP4457791A1.