A Penalized Method for the Predictive Limit of Learning. - Jie Ding 002; Enmao Diao; Jiawei Zhou; Vahid Tarokh (ICASSP, 2018)

Restricted Recurrent Neural Networks. - Enmao Diao; Jie Ding 002; Vahid Tarokh (IEEE BigData, 2019)

Distributed Lossy Image Compression with Recurrent Networks. - Enmao Diao; Jie Ding 002; Vahid Tarokh (CoRR, 2019)

DRASIC: Distributed Recurrent Autoencoder for Scalable Image Compression. - Enmao Diao; Jie Ding 002; Vahid Tarokh (DCC, 2020)

Deep Clustering of Compressed Variational Embeddings. - Suya Wu; Enmao Diao; Jie Ding 002; Vahid Tarokh (DCC, 2020)

Speech Emotion Recognition with Dual-Sequence LSTM Architecture. - Jianyou Wang; Michael Xue; Ryan Culhane; Enmao Diao; Jie Ding 002; Vahid Tarokh (ICASSP, 2020)

HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients. - Enmao Diao; Jie Ding 002; Vahid Tarokh (ICLR, 2021)

Gradient Assisted Learning. - Enmao Diao; Jie Ding 002; Vahid Tarokh (CoRR, 2021)

SemiFL: Communication Efficient Semi-Supervised Federated Learning with Unlabeled Clients. - Enmao Diao; Jie Ding 002; Vahid Tarokh (CoRR, 2021)

Privacy-Preserving Multi-Target Multi-Domain Recommender Systems with Assisted AutoEncoders. - Enmao Diao; Vahid Tarokh; Jie Ding 002 (CoRR, 2021)

Emulating Spatio-Temporal Realizations of Three-Dimensional Isotropic Turbulence via Deep Sequence Learning Models. - Mohammadreza Momenifar; Enmao Diao; Vahid Tarokh; Andrew D. Bragg (CoRR, 2021)

On Statistical Efficiency in Learning. - Jie Ding 002; Enmao Diao; Jiawei Zhou; Vahid Tarokh (IEEE Trans. Inf. Theory, 2021)

Personalized Federated Recommender Systems with Private and Partially Federated AutoEncoders. - Qi Le; Enmao Diao; Xinran Wang; Ali Anwar 001; Vahid Tarokh; Jie Ding 002 (IEEECONF, 2022)

Multimodal Controller for Generative Models. - Enmao Diao; Jie Ding 002; Vahid Tarokh (CVMI, 2022)

A Physics-Informed Vector Quantized Autoencoder for Data Compression of Turbulent Flow. - Mohammadreza Momenifar; Enmao Diao; Vahid Tarokh; Andrew D. Bragg (DCC, 2022)

GAL: Gradient Assisted Learning for Decentralized Multi-Organization Collaborations. - Enmao Diao; Jie Ding 002; Vahid Tarokh (NeurIPS, 2022)

SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training. - Enmao Diao; Jie Ding 002; Vahid Tarokh (NeurIPS, 2022)

Score-Based Hypothesis Testing for Unnormalized Models. - Suya Wu; Enmao Diao; Khalil Elkhalil; Jie Ding 002; Vahid Tarokh (IEEE Access, 2022)

A Theoretical Understanding of Neural Network Compression from Sparse Linear Approximation. - Wenjing Yang 003; Ganghua Wang; Enmao Diao; Vahid Tarokh; Jie Ding 002; Yuhong Yang 002 (CoRR, 2022)

Score-based Quickest Change Detection for Unnormalized Models. - Suya Wu; Enmao Diao; Taposh Banerjee; Jie Ding 002; Vahid Tarokh (AISTATS, 2023)

Pruning Deep Neural Networks from a Sparsity Perspective. - Enmao Diao; Ganghua Wang; Jiawei Zhang 007; Yuhong Yang 002; Jie Ding 002; Vahid Tarokh (ICLR, 2023)

Semi-Supervised Federated Learning for Keyword Spotting. - Enmao Diao; Eric W. Tramel; Jie Ding 002; Tao Zhang (ICME Workshops, 2023)

Robust Quickest Change Detection for Unnormalized Models. - Suya Wu; Enmao Diao; Jie Ding 002; Taposh Banerjee; Vahid Tarokh (UAI, 2023)

Efficient and Collaborative Methods for Distributed Machine Learning. - Enmao Diao (2023)

DynamicFL: Federated Learning with Dynamic Communication Resource Allocation. - Qi Le; Enmao Diao; Xinran Wang; Ahmad Faraz Khan 001; Vahid Tarokh; Jie Ding 002; Ali Anwar 001 (IEEE Big Data, 2024)

ESC: Efficient Speech Coding with Cross-Scale Residual Vector Quantized Transformers. - Yuzhe Gu; Enmao Diao (EMNLP, 2024)

Large Deviation Analysis of Score-Based Hypothesis Testing. - Enmao Diao; Taposh Banerjee; Vahid Tarokh (IEEE Access, 2024)

ColA: Collaborative Adaptation with Gradient Learning. - Enmao Diao; Qi Le; Suya Wu; Xinran Wang; Ali Anwar 001; Jie Ding 002; Vahid Tarokh (CoRR, 2024)

DynamicFL: Federated Learning with Dynamic Communication Resource Allocation. - Qi Le; Enmao Diao; Xinran Wang; Vahid Tarokh; Jie Ding 002; Ali Anwar 001 (CoRR, 2024)

A Data-Efficient Deep Learning Method for Rough Surface Clutter Reduction in GPR Images. - Yan Zhang 126; Enmao Diao; Dryver Huston; Tian Xia 005 (IEEE Trans. Geosci. Remote. Sens., 2024)

Quickest Change Detection for Unnormalized Statistical Models. - Suya Wu; Enmao Diao; Taposh Banerjee; Jie Ding 002; Vahid Tarokh (IEEE Trans. Inf. Theory, 2024)

Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing. - Qi Le; Enmao Diao; Ziyan Wang; Xinran Wang; Jie Ding 002; Li Yang; Ali Anwar 001 (ICLR, 2025)

MAP: Multi-Human-Value Alignment Palette. - Xinran Wang; Qi Le; Ammar Ahmed; Enmao Diao; Yi Zhou 015; Nathalie Baracaldo; Jie Ding 002; Ali Anwar 001 (ICLR, 2025)

AID: Adaptive Integration of Detectors for Safe AI with Language Models. - Xinran Wang; Enmao Diao; Qi Le; Jie Ding 002; Ali Anwar 001 (NAACL (Long Papers), 2025)

Robust Score-Based Quickest Change Detection. - Sean Moushegian; Suya Wu; Enmao Diao; Jie Ding 002; Taposh Banerjee; Vahid Tarokh (IEEE Trans. Inf. Theory, 2025)