Context-Aware Deep Model Compression for Edge Cloud Computing. - Lingdong Wang; Liyao Xiang; Jiayu Xu; Jiaju Chen; Xing Zhao; Dixi Yao; Xinbing Wang; Baochun Li (ICDCS, 2020)

Federated Model Search via Reinforcement Learning. - Dixi Yao; Lingdong Wang; Jiayu Xu; Liyao Xiang; Shuo Shao; Yingqi Chen; Yanjun Tong (ICDCS, 2021)

Context-Aware Compilation of DNN Training Pipelines across Edge and Cloud. - Dixi Yao; Liyao Xiang; Zifan Wang; Jiayu Xu; Chao Li; Xinbing Wang (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Privacy-Preserving Split Learning via Patch Shuffling over Transformers. - Dixi Yao; Liyao Xiang; Hengyuan Xu; Hangyu Ye; Yingqi Chen (ICDM, 2022)

Shuffled Transformer for Privacy-Preserving Split Learning. - Hengyuan Xu; Liyao Xiang; Hangyu Ye; Dixi Yao; Pengzhi Chu; Baochun Li (CoRR, 2023)

PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search. - Dixi Yao; Baochun Li (AAAI, 2024)

Revisiting System-Heterogeneous Federated Learning through Dynamic Model Search. - Dixi Yao (IEEE Big Data, 2024)

Permutation Equivariance of Transformers and its Applications. - Hengyuan Xu; Liyao Xiang; Hangyu Ye; Dixi Yao; Pengzhi Chu; Baochun Li (CVPR, 2024)

Risks When Sharing LoRA Fine-Tuned Diffusion Model Weights. - Dixi Yao (CoRR, 2024)

Enhancing Privacy in ControlNet and Stable Diffusion via Split Learning. - Dixi Yao (CoRR, 2024)

Exploring System-Heterogeneous Federated Learning with Dynamic Model Selection. - Dixi Yao (CoRR, 2024)

Towards Privacy-Preserving Split Learning for ControlNet. - Dixi Yao (WACV, 2025)