| 2026 | ACL | From Local to Global: Revisiting Structured Pruning Paradigms for Large Language Models. | Ziyan Wang, Enmao Diao, Qi Le, Pu Wang, Minwoo Lee, Shu-Ping Yeh, Evgeny Stupachenko, Hao Feng, Li Yang |
| 2025 | ICLR | Probe Pruning: Accelerating LLMs through Dynamic Pruning via Model-Probing. | Qi Le, Enmao Diao, Ziyan Wang, Xinran Wang, Jie Ding, Li Yang, Ali Anwar |
| 2025 | ICLR | MAP: Multi-Human-Value Alignment Palette. | Xinran Wang, Qi Le, Ammar Ahmed, Enmao Diao, Yi Zhou, Nathalie Baracaldo, Jie Ding, Ali Anwar |
| 2025 | NAACL | AID: Adaptive Integration of Detectors for Safe AI with Language Models. | Xinran Wang, Enmao Diao, Qi Le, Jie Ding, Ali Anwar |
| 2024 | EMNLP | ESC: Efficient Speech Coding with Cross-Scale Residual Vector Quantized Transformers. | Yuzhe Gu, Enmao Diao |
| 2023 | AISTATS | Score-based Quickest Change Detection for Unnormalized Models. | Suya Wu, Enmao Diao, Taposh Banerjee, Jie Ding, Vahid Tarokh |
| 2023 | ICLR | Pruning Deep Neural Networks from a Sparsity Perspective. | Enmao Diao, Ganghua Wang, Jiawei Zhang, Yuhong Yang, Jie Ding, Vahid Tarokh |
| 2023 | UAI | Robust Quickest Change Detection for Unnormalized Models. | Suya Wu, Enmao Diao, Jie Ding, Taposh Banerjee, Vahid Tarokh |
| 2022 | ACSSC | Personalized Federated Recommender Systems with Private and Partially Federated AutoEncoders. | Qi Le, Enmao Diao, Xinran Wang, Ali Anwar, Vahid Tarokh, Jie Ding |
| 2022 | DCC | A Physics-Informed Vector Quantized Autoencoder for Data Compression of Turbulent Flow. | Mohammadreza Momenifar, Enmao Diao, Vahid Tarokh, Andrew D. Bragg |
| 2021 | ICLR | HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients. | Enmao Diao, Jie Ding, Vahid Tarokh |
| 2020 | DCC | DRASIC: Distributed Recurrent Autoencoder for Scalable Image Compression. | Enmao Diao, Jie Ding, Vahid Tarokh |
| 2020 | DCC | Deep Clustering of Compressed Variational Embeddings. | Suya Wu, Enmao Diao, Jie Ding, Vahid Tarokh |
| 2020 | ICASSP | Speech Emotion Recognition with Dual-Sequence LSTM Architecture. | Jianyou Wang, Michael Xue, Ryan Culhane, Enmao Diao, Jie Ding, Vahid Tarokh |
| 2018 | ICASSP | A Penalized Method for the Predictive Limit of Learning. | Jie Ding, Enmao Diao, Jiawei Zhou, Vahid Tarokh |