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Enmao Diao

Entrepreneur and Researcher
Ambitious, Creative, Curious, Honest, Passionate

Research interests
Distributed Machine Learning, Efficient Machine Learning,
Signal Processing, Artificial Intelligence
To create AI like never before

I was born in Chengdu, Sichuan, China in 1994. I received my B.S. with the highest honor in Electrical Engineering and Computer Science from Georgia Institute of Technology in 2016. I received my M.S. degree in Electrical Engineering from Harvard University in 2018. I received my Ph.D. degree in Electrical Engineering from Duke University in 2023.

news

selected publications

2025

  1. ICLR
    MAP: Multi-Human-Value Alignment Palette
    Xinran Wang, Qi Le, Ammar Ahmed, and 5 more authors
    In International Conference on Learning Representations, 2025
  2. ICLR
    Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing
    Qi Le, Enmao Diao, Ziyan Wang, and 4 more authors
    In International Conference on Learning Representations, 2025
  3. NAACL
    AID: Adaptive Integration of Detectors for Safe AI with Language Models
    Xinran Wang, Enmao Diao, Qi Le, and 2 more authors
    In Nations of the Americas Chapter of the ACL, 2025

2024

  1. IEEE BigData
    DynamicFL: Federated Learning with Dynamic Communication Resource Allocation
    Qi Le, Enmao Diao, Xinran Wang, and 4 more authors
    In 2024 IEEE International Conference on Big Data (BigData), 2024
  2. EMNLP
    ESC: Efficient Speech Coding with Cross-Scale Residual Vector Quantized Transformers
    Yuzhe Gu, and Enmao Diao
    In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
  3. IEEE Access
    Large Deviation Analysis of Score-based Hypothesis Testing
    Enmao Diao, Taposh Banerjee, and Vahid Tarokh
    IEEE Access, 2024
  4. RadarConf
    A PixelCNN Based Method for Rough Surface Clutter Reduction in GPR B-scan Images
    Yan Zhang, Enmao Diao, Dryver Huston, and 1 more author
    In 2024 IEEE Radar Conference (RadarConf24), 2024
  5. TGRS
    A Data Efficient Deep Learning Method for Rough Surface Clutter Reduction in GPR Images
    Yan Zhang, Enmao Diao, Dryver Huston, and 1 more author
    IEEE Transactions on Geoscience and Remote Sensing, 2024

2023

  1. TIT
    Quickest Change Detection for Unnormalized Statistical Models
    Suya Wu, Enmao Diao, Taposh Banerjee, and 2 more authors
    IEEE Transactions on Information Theory, 2023
  2. Thesis
    Efficient and Collaborative Methods for Distributed Machine Learning
    Enmao Diao
    Duke University, 2023
  3. UAI
    Robust Quickest Change Detection for Unnormalized Models
    Suya Wu, Enmao Diao, Jie Ding, and 2 more authors
    In Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, 2023
  4. ICLR
    Pruning Deep Neural Networks from a Sparsity Perspective
    Enmao Diao, Ganghua Wang, Jiawei Zhang, and 3 more authors
    In International Conference on Learning Representations, 2023
  5. AISTATS
    Score-based Quickest Change Detection for Unnormalized Models
    Suya Wu, Enmao Diao, Taposh Banerjee, and 2 more authors
    In Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, 2023

2022

  1. NeurIPS
    GAL: Gradient Assisted Learning for Decentralized Multi-organization Collaborations
    Enmao Diao, Jie Ding, and Vahid Tarokh
    In Advances in Neural Information Processing Systems, 2022
  2. NeurIPS
    SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training
    Enmao Diao, Jie Ding, and Vahid Tarokh
    In Advances in Neural Information Processing Systems, 2022

2021

  1. ICLR
    HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
    Enmao Diao, Jie Ding, and Vahid Tarokh
    In International Conference on Learning Representations, 2021

2020

  1. ICASSP
    Speech Emotion Recognition with Dual-Sequence LSTM Architecture
    Jianyou Wang, Michael Xue, Ryan Culhane, and 3 more authors
    In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
  2. DCC
    DRASIC: Distributed Recurrent Autoencoder for Scalable Image Compression
    Enmao Diao, Jie Ding, and Vahid Tarokh
    In 2020 Data Compression Conference (DCC), 2020

2019

  1. IEEE Big Data
    Restricted Recurrent Neural Networks
    Enmao Diao, Jie Ding, and Vahid Tarokh
    In 2019 IEEE International Conference on Big Data (Big Data), 2019