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2020 – today
- 2024
[i5]Mengwei Xu, Wangsong Yin, Dongqi Cai, Rongjie Yi, Daliang Xu, Qipeng Wang, Bingyang Wu, Yihao Zhao, Chen Yang, Shihe Wang, Qiyang Zhang, Zhenyan Lu, Li Zhang, Shangguang Wang, Yuanchun Li, Yunxin Liu, Xin Jin, Xuanzhe Liu:
A Survey of Resource-efficient LLM and Multimodal Foundation Models. CoRR abs/2401.08092 (2024)- [i4]Wangsong Yin, Rongjie Yi, Daliang Xu, Gang Huang, Mengwei Xu, Xuanzhe Liu:
ELMS: Elasticized Large Language Models On Mobile Devices. CoRR abs/2409.09071 (2024) - [i3]Zhenyan Lu, Xiang Li, Dongqi Cai, Rongjie Yi, Fangming Liu, Xiwen Zhang, Nicholas D. Lane, Mengwei Xu:
Small Language Models: Survey, Measurements, and Insights. CoRR abs/2409.15790 (2024) - 2023
- [c1]Rongjie Yi
, Ting Cao, Ao Zhou, Xiao Ma, Shangguang Wang, Mengwei Xu:
Boosting DNN Cold Inference on Edge Devices. MobiSys 2023: 516-529 - [i2]Rongjie Yi, Liwei Guo, Shiyun Wei, Ao Zhou, Shangguang Wang, Mengwei Xu:
EdgeMoE: Fast On-Device Inference of MoE-based Large Language Models. CoRR abs/2308.14352 (2023) - 2022
- [i1]Rongjie Yi, Ting Cao, Ao Zhou, Xiao Ma, Shangguang Wang, Mengwei Xu:
Understanding and Optimizing Deep Learning Cold-Start Latency on Edge Devices. CoRR abs/2206.07446 (2022)
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