Understanding and Optimizing Deep Learning Cold-Start Latency on Edge Devices. - Rongjie Yi; Ting Cao; Ao Zhou 001; Xiao Ma 009; Shangguang Wang; Mengwei Xu (CoRR, 2022)

Boosting DNN Cold Inference on Edge Devices. - Rongjie Yi; Ting Cao; Ao Zhou 001; Xiao Ma 009; Shangguang Wang; Mengwei Xu (MobiSys, 2023)

EdgeMoE: Fast On-Device Inference of MoE-based Large Language Models. - Rongjie Yi; Liwei Guo; Shiyun Wei; Ao Zhou 001; Shangguang Wang; Mengwei Xu (CoRR, 2023)

A Survey of Resource-efficient LLM and Multimodal Foundation Models. - Mengwei Xu; Wangsong Yin; Dongqi Cai 001; Rongjie Yi; Daliang Xu; Qipeng Wang; Bingyang Wu; Yihao Zhao; Chen Yang; Shihe Wang; Qiyang Zhang; Zhenyan Lu; et al. (CoRR, 2024)

ELMS: Elasticized Large Language Models On Mobile Devices. - Wangsong Yin; Rongjie Yi; Daliang Xu; Gang Huang 001; Mengwei Xu; Xuanzhe Liu (CoRR, 2024)

Small Language Models: Survey, Measurements, and Insights. - Zhenyan Lu; Xiang Li 067; Dongqi Cai 001; Rongjie Yi; Fangming Liu; Xiwen Zhang; Nicholas D. Lane; Mengwei Xu (CoRR, 2024)

PhoneLM:an Efficient and Capable Small Language Model Family through Principled Pre-training. - Rongjie Yi; Xiang Li 067; Weikai Xie; Zhenyan Lu; Chenghua Wang; Ao Zhou 001; Shangguang Wang; Xiwen Zhang; Mengwei Xu (CoRR, 2024)

DroidCall: A Dataset for LLM-powered Android Intent Invocation. - Weikai Xie; Li Zhang 133; Shihe Wang; Rongjie Yi; Mengwei Xu (CoRR, 2024)

Demystifying Small Language Models for Edge Deployment. - Zhenyan Lu; Xiang Li 067; Dongqi Cai 001; Rongjie Yi; Fangming Liu; Wei Liu 061; Jian Luan 001; Xiwen Zhang; Nicholas D. Lane; Mengwei Xu (ACL (1), 2025)

EdgeMoE: Empowering Sparse Large Language Models on Mobile Devices. - Rongjie Yi; Liwei Guo; Shiyun Wei; Ao Zhou 001; Shangguang Wang; Mengwei Xu (IEEE Trans. Mob. Comput., 2025)