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Dennis Wu

Ph.D. Student
Northwestern University
hibb[at]u[dot]northwestern[dot]edu


About Me

I am a 2nd year PhD student at Northwestern University. Currently, I’m part of the MAGICS lab at Northwestern.

I mostly do theoretical machine learning.

News

Publications

  1. Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes
    Jerry Yao-Chieh Hu, Dennis Wu, Han Liu
    Advances in Neural Information Processing Systems (NeurIPS), 2024.
    PDF Code
  2. Uniform Memory Retrieval with Larger Capacity for Modern Hopfield Models
    Dennis Wu, Jerry Yao-Chieh Hu, Teng-Yun Shiao, Han Liu
    International Conference on Machine Learning (ICML), 2024.
    PDF Code
  3. StanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction
    Dennis Wu, Jerry Yao-Chieh Hu, Weijian Li, Bo-Yu Chen, Han Liu
    International Conference on Learning Representations (ICLR), 2024.
    PDF Code
  4. On Sparse Modern Hopfield Model
    Jerry Yao-Chieh Hu, Donglin Yang, Dennis Wu, Chenwei Xu, Bo-Yu Chen, Han Liu
    Advances in Neural Information Processing Systems (NeurIPS), 2023.
    PDF Code
  5. HonestBait: Forward References for Attractive but Faithful Headline Generation
    Chih-Yao Chen, Dennis Wu, Lun-Wei Ku
    Findings of the Association for Computational Linguistics: ACL 2023.
    PDF
  6. Detecting Inaccurate Sensors on a Large-Scale Sensor Network Using Centralized and Localized Graph Neural Networks
    Dennis Wu, Tsu-Heng Lin, Xin-Ru Zhang, Chia-Pan Chen, Jia-Hui Chen, Hung-Hsuan Chen
    IEEE Sensors Journal (Aug 2023)
    PDF Code Feautred Article
  7. Associated Learning: An Alternative to End-to-End Backpropagation that Works on CNN, RNN, and Transformer
    Dennis Wu, Dinan Lin, Vincent Chen, Hung-Hsuan Chen
    International Conference on Learning Representations (ICLR), 2022.
    PDF Code

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