Researcher profile

Ce Zhang

6 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. An Automatic Modulation Recognition Method with Low Parameter Estimation Dependence Based on Spatial Transformer Networks

    2019 · Applied Sciences

    Recently, automatic modulation recognition has been an important research topic in wireless communication. Due to the application of deep learning, it is prospective of using convolution neural networks on raw in-phase and quadrature signals in …

  2. Improving Certified Robustness via Statistical Learning with Logical Reasoning

    2020 · arXiv (Cornell University)

    Intensive algorithmic efforts have been made to enable the rapid improvements of certificated robustness for complex ML models recently. However, current robustness certification methods are only able to certify under a limited perturbation radius. Given …

  3. Knowledge Router: Learning Disentangled Representations for Knowledge Graphs

    2021

    The design of expressive representations of entities and relations in a knowledge graph is an important endeavor. While many of the existing approaches have primarily focused on learning from relational patterns and structural information, the …

  4. Authenticated Keyword Search in Scalable Hybrid-Storage Blockchains

    2021

    Blockchain has emerged as a promising solution for secure data storage and retrieval for decentralized applications. To scale blockchain systems, a prevailing approach is to employ a hybrid storage model, where only small meta-data are …

  5. Mixture-of-Agents Enhances Large Language Model Capabilities

    2024 · arXiv (Cornell University)

    Recent advances in large language models (LLMs) demonstrate substantial capabilities in natural language understanding and generation tasks. With the growing number of LLMs, how to harness the collective expertise of multiple LLMs is an exciting …

  6. Mitigating Catastrophic Forgetting in Language Transfer via Model Merging

    2024 · arXiv (Cornell University)

    As open-weight large language models (LLMs) achieve ever more impressive performances across a wide range of tasks in English, practitioners aim to adapt these models to different languages. However, such language adaptation is often accompanied …