LLMCad: Fast and Scalable On-device Large Language Model Inference. - Daliang Xu; Wangsong Yin; Xin Jin 008; Ying Zhang 022; Shiyun Wei; Mengwei Xu; Xuanzhe Liu (CoRR, 2023)

PieBridge: Fast and Parameter-Efficient On-Device Training via Proxy Networks. - Wangsong Yin; Daliang Xu; Gang Huang 001; Ying Zhang 012; Shiyun Wei; Mengwei Xu; Xuanzhe Liu (SenSys, 2024)

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)

LLM as a System Service on Mobile Devices. - Wangsong Yin; Mengwei Xu; Yuanchun Li; Xuanzhe Liu (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)

EdgeLLM: Fast On-Device LLM Inference With Speculative Decoding. - Daliang Xu; Wangsong Yin; Hao Zhang 108; Xin Jin 008; Ying Zhang 012; Shiyun Wei; Mengwei Xu; Xuanzhe Liu (IEEE Trans. Mob. Comput., 2025)

Resource-efficient Algorithms and Systems of Foundation Models: A Survey. - Mengwei Xu; Dongqi Cai 001; Wangsong Yin; Shangguang Wang; Xin Jin 008; Xuanzhe Liu (ACM Comput. Surv., 2025)